id	sid	tid	token	lemma	pos
ijassa-1308	1	1	adv	adv	PROPN
ijassa-1308	1	2	syst	syst	PROPN
ijassa-1308	1	3	sci	sci	PROPN
ijassa-1308	1	4	appl	appl	PROPN
ijassa-1308	1	5	2022	2022	NUM
ijassa-1308	1	6	;	;	PUNCT
ijassa-1308	1	7	04:31–50	04:31–50	NUM
ijassa-1308	1	8	published	publish	VERB
ijassa-1308	1	9	online	online	ADV
ijassa-1308	1	10	at	at	ADP
ijassa-1308	1	11	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADV
ijassa-1308	1	12	.	.	PUNCT
ijassa-1308	2	1	the	the	DET
ijassa-1308	2	2	influence	influence	NOUN
ijassa-1308	2	3	of	of	ADP
ijassa-1308	2	4	image	image	NOUN
ijassa-1308	2	5	morphology	morphology	NOUN
ijassa-1308	2	6	on	on	ADP
ijassa-1308	2	7	neural	neural	ADJ
ijassa-1308	2	8	network	network	NOUN
ijassa-1308	2	9	-	-	PUNCT
ijassa-1308	2	10	based	base	VERB
ijassa-1308	2	11	segmentation	segmentation	NOUN
ijassa-1308	2	12	results	result	VERB
ijassa-1308	2	13	efim	efim	NOUN
ijassa-1308	2	14	v.	v.	ADP
ijassa-1308	2	15	lavrukhin1,2	lavrukhin1,2	PROPN
ijassa-1308	2	16	,	,	PUNCT
ijassa-1308	2	17	kirill	kirill	PROPN
ijassa-1308	2	18	m.	m.	PROPN
ijassa-1308	2	19	gerke	gerke	PROPN
ijassa-1308	2	20	2	2	NUM
ijassa-1308	2	21	1	1	NUM
ijassa-1308	2	22	computational	computational	ADJ
ijassa-1308	2	23	mathematics	mathematic	NOUN
ijassa-1308	2	24	and	and	CCONJ
ijassa-1308	2	25	cybernetics	cybernetic	NOUN
ijassa-1308	2	26	,	,	PUNCT
ijassa-1308	2	27	lomonosov	lomonosov	PROPN
ijassa-1308	2	28	moscow	moscow	PROPN
ijassa-1308	2	29	state	state	PROPN
ijassa-1308	2	30	university	university	PROPN
ijassa-1308	2	31	,	,	PUNCT
ijassa-1308	2	32	moscow	moscow	PROPN
ijassa-1308	2	33	,	,	PUNCT
ijassa-1308	2	34	russia	russia	PROPN
ijassa-1308	2	35	2schmidt	2schmidt	NUM
ijassa-1308	2	36	institute	institute	PROPN
ijassa-1308	2	37	of	of	ADP
ijassa-1308	2	38	physics	physics	PROPN
ijassa-1308	2	39	of	of	ADP
ijassa-1308	2	40	the	the	DET
ijassa-1308	2	41	earth	earth	NOUN
ijassa-1308	2	42	of	of	ADP
ijassa-1308	2	43	russian	russian	ADJ
ijassa-1308	2	44	academy	academy	PROPN
ijassa-1308	2	45	of	of	ADP
ijassa-1308	2	46	sciences	sciences	PROPN
ijassa-1308	2	47	,	,	PUNCT
ijassa-1308	2	48	moscow	moscow	PROPN
ijassa-1308	2	49	,	,	PUNCT
ijassa-1308	2	50	russia	russia	PROPN
ijassa-1308	2	51	abstract	abstract	NOUN
ijassa-1308	2	52	:	:	PUNCT
ijassa-1308	2	53	in	in	ADP
ijassa-1308	2	54	this	this	DET
ijassa-1308	2	55	article	article	NOUN
ijassa-1308	2	56	,	,	PUNCT
ijassa-1308	2	57	we	we	PRON
ijassa-1308	2	58	have	have	AUX
ijassa-1308	2	59	provided	provide	VERB
ijassa-1308	2	60	initial	initial	ADJ
ijassa-1308	2	61	results	result	NOUN
ijassa-1308	2	62	of	of	ADP
ijassa-1308	2	63	evaluating	evaluate	VERB
ijassa-1308	2	64	the	the	DET
ijassa-1308	2	65	influence	influence	NOUN
ijassa-1308	2	66	of	of	ADP
ijassa-1308	2	67	training	training	NOUN
ijassa-1308	2	68	data	datum	NOUN
ijassa-1308	2	69	morphology	morphology	NOUN
ijassa-1308	2	70	on	on	ADP
ijassa-1308	2	71	convolutional	convolutional	ADJ
ijassa-1308	2	72	neural	neural	ADJ
ijassa-1308	2	73	networks	network	NOUN
ijassa-1308	2	74	segmentation	segmentation	NOUN
ijassa-1308	2	75	quality	quality	NOUN
ijassa-1308	2	76	.	.	PUNCT
ijassa-1308	3	1	to	to	PART
ijassa-1308	3	2	do	do	VERB
ijassa-1308	3	3	this	this	PRON
ijassa-1308	3	4	,	,	PUNCT
ijassa-1308	3	5	we	we	PRON
ijassa-1308	3	6	selected	select	VERB
ijassa-1308	3	7	four	four	NUM
ijassa-1308	3	8	different	different	ADJ
ijassa-1308	3	9	porous	porous	ADJ
ijassa-1308	3	10	media	medium	NOUN
ijassa-1308	3	11	3d	3d	NUM
ijassa-1308	3	12	images	image	NOUN
ijassa-1308	3	13	obtained	obtain	VERB
ijassa-1308	3	14	with	with	ADP
ijassa-1308	3	15	the	the	DET
ijassa-1308	3	16	help	help	NOUN
ijassa-1308	3	17	of	of	ADP
ijassa-1308	3	18	x	x	NOUN
ijassa-1308	3	19	-	-	NOUN
ijassa-1308	3	20	ray	ray	NOUN
ijassa-1308	3	21	microtomography	microtomography	NOUN
ijassa-1308	3	22	(	(	PUNCT
ijassa-1308	3	23	xct	xct	PROPN
ijassa-1308	3	24	)	)	PUNCT
ijassa-1308	3	25	and	and	CCONJ
ijassa-1308	3	26	segmented	segment	VERB
ijassa-1308	3	27	them	they	PRON
ijassa-1308	3	28	using	use	VERB
ijassa-1308	3	29	a	a	DET
ijassa-1308	3	30	local	local	ADJ
ijassa-1308	3	31	thresholding	thresholding	NOUN
ijassa-1308	3	32	”	"	PUNCT
ijassa-1308	3	33	converging	converge	VERB
ijassa-1308	3	34	active	active	ADJ
ijassa-1308	3	35	contours	contours	NOUN
ijassa-1308	3	36	”	"	PUNCT
ijassa-1308	3	37	algorithm	algorithm	NOUN
ijassa-1308	3	38	.	.	PUNCT
ijassa-1308	4	1	with	with	ADP
ijassa-1308	4	2	the	the	DET
ijassa-1308	4	3	help	help	NOUN
ijassa-1308	4	4	of	of	ADP
ijassa-1308	4	5	synthetic	synthetic	ADJ
ijassa-1308	4	6	tomography	tomography	NOUN
ijassa-1308	4	7	algorithm	algorithm	NOUN
ijassa-1308	4	8	,	,	PUNCT
ijassa-1308	4	9	we	we	PRON
ijassa-1308	4	10	created	create	VERB
ijassa-1308	4	11	synthetic	synthetic	ADJ
ijassa-1308	4	12	xct	xct	PROPN
ijassa-1308	4	13	image	image	NOUN
ijassa-1308	4	14	based	base	VERB
ijassa-1308	4	15	on	on	ADP
ijassa-1308	4	16	these	these	DET
ijassa-1308	4	17	segmentations	segmentation	NOUN
ijassa-1308	4	18	.	.	PUNCT
ijassa-1308	5	1	as	as	ADP
ijassa-1308	5	2	a	a	DET
ijassa-1308	5	3	result	result	NOUN
ijassa-1308	5	4	,	,	PUNCT
ijassa-1308	5	5	we	we	PRON
ijassa-1308	5	6	obtained	obtain	VERB
ijassa-1308	5	7	true	true	ADJ
ijassa-1308	5	8	xct	xct	PROPN
ijassa-1308	5	9	–	–	PUNCT
ijassa-1308	5	10	ground	ground	NOUN
ijassa-1308	5	11	-	-	PUNCT
ijassa-1308	5	12	truth	truth	NOUN
ijassa-1308	5	13	pairs	pair	NOUN
ijassa-1308	5	14	for	for	ADP
ijassa-1308	5	15	considered	consider	VERB
ijassa-1308	5	16	porous	porous	ADJ
ijassa-1308	5	17	media	medium	NOUN
ijassa-1308	5	18	samples	sample	NOUN
ijassa-1308	5	19	.	.	PUNCT
ijassa-1308	6	1	then	then	ADV
ijassa-1308	6	2	with	with	ADP
ijassa-1308	6	3	the	the	DET
ijassa-1308	6	4	help	help	NOUN
ijassa-1308	6	5	of	of	ADP
ijassa-1308	6	6	stochastic	stochastic	ADJ
ijassa-1308	6	7	reconstructions	reconstruction	NOUN
ijassa-1308	6	8	,	,	PUNCT
ijassa-1308	6	9	we	we	PRON
ijassa-1308	6	10	created	create	VERB
ijassa-1308	6	11	a	a	DET
ijassa-1308	6	12	set	set	NOUN
ijassa-1308	6	13	of	of	ADP
ijassa-1308	6	14	samples	sample	NOUN
ijassa-1308	6	15	with	with	ADP
ijassa-1308	6	16	varying	vary	VERB
ijassa-1308	6	17	degrees	degree	NOUN
ijassa-1308	6	18	of	of	ADP
ijassa-1308	6	19	morphological	morphological	ADJ
ijassa-1308	6	20	similarity	similarity	NOUN
ijassa-1308	6	21	to	to	ADP
ijassa-1308	6	22	the	the	DET
ijassa-1308	6	23	original	original	ADJ
ijassa-1308	6	24	porous	porous	ADJ
ijassa-1308	6	25	media	medium	NOUN
ijassa-1308	6	26	samples	sample	NOUN
ijassa-1308	6	27	.	.	PUNCT
ijassa-1308	7	1	in	in	ADP
ijassa-1308	7	2	order	order	NOUN
ijassa-1308	7	3	to	to	PART
ijassa-1308	7	4	check	check	VERB
ijassa-1308	7	5	the	the	DET
ijassa-1308	7	6	effect	effect	NOUN
ijassa-1308	7	7	of	of	ADP
ijassa-1308	7	8	morphological	morphological	ADJ
ijassa-1308	7	9	properties	property	NOUN
ijassa-1308	7	10	on	on	ADP
ijassa-1308	7	11	the	the	DET
ijassa-1308	7	12	quality	quality	NOUN
ijassa-1308	7	13	of	of	ADP
ijassa-1308	7	14	segmentation	segmentation	NOUN
ijassa-1308	7	15	,	,	PUNCT
ijassa-1308	7	16	we	we	PRON
ijassa-1308	7	17	trained	train	VERB
ijassa-1308	7	18	a	a	DET
ijassa-1308	7	19	u	u	ADJ
ijassa-1308	7	20	-	-	ADJ
ijassa-1308	7	21	net	net	ADJ
ijassa-1308	7	22	model	model	NOUN
ijassa-1308	7	23	with	with	ADP
ijassa-1308	7	24	resnet50	resnet50	NOUN
ijassa-1308	7	25	encoder	encoder	NOUN
ijassa-1308	7	26	on	on	ADP
ijassa-1308	7	27	pairs	pair	NOUN
ijassa-1308	7	28	of	of	ADP
ijassa-1308	7	29	synthetic	synthetic	ADJ
ijassa-1308	7	30	xct	xct	PROPN
ijassa-1308	7	31	–	–	PUNCT
ijassa-1308	7	32	ground	ground	NOUN
ijassa-1308	7	33	-	-	PUNCT
ijassa-1308	7	34	truth	truth	NOUN
ijassa-1308	7	35	data	datum	NOUN
ijassa-1308	7	36	,	,	PUNCT
ijassa-1308	7	37	and	and	CCONJ
ijassa-1308	7	38	assessed	assess	VERB
ijassa-1308	7	39	the	the	DET
ijassa-1308	7	40	segmentation	segmentation	NOUN
ijassa-1308	7	41	quality	quality	NOUN
ijassa-1308	7	42	of	of	ADP
ijassa-1308	7	43	synthetic	synthetic	ADJ
ijassa-1308	7	44	xct	xct	PROPN
ijassa-1308	7	45	images	image	NOUN
ijassa-1308	7	46	as	as	SCONJ
ijassa-1308	7	47	obtained	obtain	VERB
ijassa-1308	7	48	based	base	VERB
ijassa-1308	7	49	on	on	ADP
ijassa-1308	7	50	stochastically	stochastically	ADV
ijassa-1308	7	51	reconstructed	reconstruct	VERB
ijassa-1308	7	52	images	image	NOUN
ijassa-1308	7	53	.	.	PUNCT
ijassa-1308	8	1	based	base	VERB
ijassa-1308	8	2	on	on	ADP
ijassa-1308	8	3	the	the	DET
ijassa-1308	8	4	metrics	metric	NOUN
ijassa-1308	8	5	,	,	PUNCT
ijassa-1308	8	6	we	we	PRON
ijassa-1308	8	7	concluded	conclude	VERB
ijassa-1308	8	8	that	that	SCONJ
ijassa-1308	8	9	the	the	DET
ijassa-1308	8	10	quality	quality	NOUN
ijassa-1308	8	11	of	of	ADP
ijassa-1308	8	12	segmentation	segmentation	NOUN
ijassa-1308	8	13	is	be	AUX
ijassa-1308	8	14	more	more	ADV
ijassa-1308	8	15	influenced	influence	VERB
ijassa-1308	8	16	by	by	ADP
ijassa-1308	8	17	the	the	DET
ijassa-1308	8	18	morphological	morphological	ADJ
ijassa-1308	8	19	differences	difference	NOUN
ijassa-1308	8	20	of	of	ADP
ijassa-1308	8	21	the	the	DET
ijassa-1308	8	22	original	original	ADJ
ijassa-1308	8	23	porous	porous	ADJ
ijassa-1308	8	24	media	medium	NOUN
ijassa-1308	8	25	samples	sample	NOUN
ijassa-1308	8	26	than	than	ADP
ijassa-1308	8	27	by	by	ADP
ijassa-1308	8	28	difference	difference	NOUN
ijassa-1308	8	29	from	from	ADP
ijassa-1308	8	30	the	the	DET
ijassa-1308	8	31	generated	generate	VERB
ijassa-1308	8	32	stochastic	stochastic	ADJ
ijassa-1308	8	33	reconstructions	reconstruction	NOUN
ijassa-1308	8	34	.	.	PUNCT
ijassa-1308	9	1	we	we	PRON
ijassa-1308	9	2	discussed	discuss	VERB
ijassa-1308	9	3	possible	possible	ADJ
ijassa-1308	9	4	ways	way	NOUN
ijassa-1308	9	5	to	to	PART
ijassa-1308	9	6	improve	improve	VERB
ijassa-1308	9	7	the	the	DET
ijassa-1308	9	8	future	future	ADJ
ijassa-1308	9	9	experiments	experiment	NOUN
ijassa-1308	9	10	design	design	VERB
ijassa-1308	9	11	in	in	ADP
ijassa-1308	9	12	order	order	NOUN
ijassa-1308	9	13	to	to	PART
ijassa-1308	9	14	finally	finally	ADV
ijassa-1308	9	15	resolve	resolve	VERB
ijassa-1308	9	16	the	the	DET
ijassa-1308	9	17	issue	issue	NOUN
ijassa-1308	9	18	of	of	ADP
ijassa-1308	9	19	training	training	NOUN
ijassa-1308	9	20	for	for	ADP
ijassa-1308	9	21	xct	xct	PROPN
ijassa-1308	9	22	image	image	NOUN
ijassa-1308	9	23	segmentation	segmentation	NOUN
ijassa-1308	9	24	with	with	ADP
ijassa-1308	9	25	neural	neural	ADJ
ijassa-1308	9	26	networks	network	NOUN
ijassa-1308	9	27	.	.	PUNCT
ijassa-1308	10	1	keywords	keyword	NOUN
ijassa-1308	10	2	:	:	PUNCT
ijassa-1308	10	3	porous	porous	ADJ
ijassa-1308	10	4	medium	medium	ADJ
ijassa-1308	10	5	,	,	PUNCT
ijassa-1308	10	6	image	image	NOUN
ijassa-1308	10	7	processing	processing	NOUN
ijassa-1308	10	8	,	,	PUNCT
ijassa-1308	10	9	convolutional	convolutional	ADJ
ijassa-1308	10	10	neural	neural	ADJ
ijassa-1308	10	11	network	network	NOUN
ijassa-1308	10	12	,	,	PUNCT
ijassa-1308	10	13	image	image	NOUN
ijassa-1308	10	14	segmentation	segmentation	NOUN
ijassa-1308	10	15	,	,	PUNCT
ijassa-1308	10	16	synthetic	synthetic	ADJ
ijassa-1308	10	17	tomography	tomography	NOUN
ijassa-1308	10	18	,	,	PUNCT
ijassa-1308	10	19	correlation	correlation	NOUN
ijassa-1308	10	20	functions	function	NOUN
ijassa-1308	10	21	1	1	NUM
ijassa-1308	10	22	.	.	PUNCT
ijassa-1308	11	1	introduction	introduction	NOUN
ijassa-1308	11	2	it	it	PRON
ijassa-1308	11	3	is	be	AUX
ijassa-1308	11	4	not	not	PART
ijassa-1308	11	5	a	a	DET
ijassa-1308	11	6	secret	secret	NOUN
ijassa-1308	11	7	that	that	SCONJ
ijassa-1308	11	8	porous	porous	ADJ
ijassa-1308	11	9	media	medium	NOUN
ijassa-1308	11	10	structure	structure	NOUN
ijassa-1308	11	11	,	,	PUNCT
ijassa-1308	11	12	i.e.	i.e.	X
ijassa-1308	11	13	,	,	PUNCT
ijassa-1308	11	14	spatial	spatial	ADJ
ijassa-1308	11	15	distribution	distribution	NOUN
ijassa-1308	11	16	of	of	ADP
ijassa-1308	11	17	forming	form	VERB
ijassa-1308	11	18	materials	material	NOUN
ijassa-1308	11	19	(	(	PUNCT
ijassa-1308	11	20	or	or	CCONJ
ijassa-1308	11	21	phases	phase	NOUN
ijassa-1308	11	22	)	)	PUNCT
ijassa-1308	11	23	,	,	PUNCT
ijassa-1308	11	24	defines	define	VERB
ijassa-1308	11	25	its	its	PRON
ijassa-1308	11	26	major	major	ADJ
ijassa-1308	11	27	physical	physical	ADJ
ijassa-1308	11	28	properties	property	NOUN
ijassa-1308	11	29	[	[	X
ijassa-1308	11	30	2	2	NUM
ijassa-1308	11	31	,	,	PUNCT
ijassa-1308	11	32	11	11	NUM
ijassa-1308	11	33	,	,	PUNCT
ijassa-1308	11	34	58	58	NUM
ijassa-1308	11	35	,	,	PUNCT
ijassa-1308	11	36	64	64	NUM
ijassa-1308	11	37	]	]	PUNCT
ijassa-1308	11	38	.	.	PUNCT
ijassa-1308	12	1	in	in	ADP
ijassa-1308	12	2	case	case	NOUN
ijassa-1308	12	3	structure	structure	NOUN
ijassa-1308	12	4	information	information	NOUN
ijassa-1308	12	5	is	be	AUX
ijassa-1308	12	6	known	know	VERB
ijassa-1308	12	7	up	up	ADP
ijassa-1308	12	8	to	to	ADP
ijassa-1308	12	9	a	a	DET
ijassa-1308	12	10	relevant	relevant	ADJ
ijassa-1308	12	11	spatial	spatial	ADJ
ijassa-1308	12	12	resolution	resolution	NOUN
ijassa-1308	12	13	,	,	PUNCT
ijassa-1308	12	14	a	a	DET
ijassa-1308	12	15	great	great	ADJ
ijassa-1308	12	16	number	number	NOUN
ijassa-1308	12	17	of	of	ADP
ijassa-1308	12	18	such	such	ADJ
ijassa-1308	12	19	properties	property	NOUN
ijassa-1308	12	20	,	,	PUNCT
ijassa-1308	12	21	including	include	VERB
ijassa-1308	12	22	flow	flow	NOUN
ijassa-1308	12	23	and	and	CCONJ
ijassa-1308	12	24	transport	transport	NOUN
ijassa-1308	12	25	characteristics	characteristic	NOUN
ijassa-1308	12	26	,	,	PUNCT
ijassa-1308	12	27	can	can	AUX
ijassa-1308	12	28	be	be	AUX
ijassa-1308	12	29	effectively	effectively	ADV
ijassa-1308	12	30	obtained	obtain	VERB
ijassa-1308	12	31	using	use	VERB
ijassa-1308	12	32	so	so	ADV
ijassa-1308	12	33	-	-	PUNCT
ijassa-1308	12	34	called	call	VERB
ijassa-1308	12	35	pore	pore	ADJ
ijassa-1308	12	36	-	-	PUNCT
ijassa-1308	12	37	scale	scale	NOUN
ijassa-1308	12	38	modeling	modeling	NOUN
ijassa-1308	12	39	techniques	technique	NOUN
ijassa-1308	12	40	that	that	PRON
ijassa-1308	12	41	include	include	VERB
ijassa-1308	12	42	direct	direct	ADJ
ijassa-1308	12	43	voxel	voxel	PROPN
ijassa-1308	12	44	based	base	VERB
ijassa-1308	12	45	[	[	X
ijassa-1308	12	46	29,43,55	29,43,55	X
ijassa-1308	12	47	]	]	X
ijassa-1308	12	48	,	,	PUNCT
ijassa-1308	12	49	meshing	meshing	NOUN
ijassa-1308	12	50	-	-	PUNCT
ijassa-1308	12	51	based	base	VERB
ijassa-1308	12	52	[	[	X
ijassa-1308	12	53	10	10	NUM
ijassa-1308	12	54	]	]	PUNCT
ijassa-1308	12	55	or	or	CCONJ
ijassa-1308	12	56	computationally	computationally	ADV
ijassa-1308	12	57	efficient	efficient	ADJ
ijassa-1308	12	58	pore	pore	ADJ
ijassa-1308	12	59	-	-	PUNCT
ijassa-1308	12	60	network	network	NOUN
ijassa-1308	12	61	modeling	modeling	NOUN
ijassa-1308	12	62	approaches	approach	NOUN
ijassa-1308	12	63	[	[	X
ijassa-1308	12	64	22,50,54	22,50,54	NUM
ijassa-1308	12	65	]	]	X
ijassa-1308	12	66	.	.	PUNCT
ijassa-1308	13	1	computed	compute	VERB
ijassa-1308	13	2	or	or	CCONJ
ijassa-1308	13	3	/	/	SYM
ijassa-1308	13	4	and	and	CCONJ
ijassa-1308	13	5	upscaled	upscale	VERB
ijassa-1308	13	6	from	from	ADP
ijassa-1308	13	7	the	the	DET
ijassa-1308	13	8	first	first	ADJ
ijassa-1308	13	9	principles	principle	NOUN
ijassa-1308	13	10	,	,	PUNCT
ijassa-1308	13	11	flow	flow	NOUN
ijassa-1308	13	12	properties	property	NOUN
ijassa-1308	13	13	are	be	AUX
ijassa-1308	13	14	of	of	ADP
ijassa-1308	13	15	primary	primary	ADJ
ijassa-1308	13	16	importance	importance	NOUN
ijassa-1308	13	17	to	to	PART
ijassa-1308	13	18	parameterize	parameterize	VERB
ijassa-1308	13	19	darcian	darcian	ADJ
ijassa-1308	13	20	scale	scale	NOUN
ijassa-1308	13	21	and	and	CCONJ
ijassa-1308	13	22	to	to	PART
ijassa-1308	13	23	explain	explain	VERB
ijassa-1308	13	24	or	or	CCONJ
ijassa-1308	13	25	design	design	NOUN
ijassa-1308	13	26	flow	flow	NOUN
ijassa-1308	13	27	mechanics	mechanic	NOUN
ijassa-1308	13	28	relevant	relevant	ADJ
ijassa-1308	13	29	for	for	ADP
ijassa-1308	13	30	petroleum	petroleum	NOUN
ijassa-1308	13	31	engineering	engineering	NOUN
ijassa-1308	14	1	[	[	X
ijassa-1308	14	2	12	12	NUM
ijassa-1308	14	3	,	,	PUNCT
ijassa-1308	14	4	30	30	NUM
ijassa-1308	14	5	]	]	PUNCT
ijassa-1308	14	6	,	,	PUNCT
ijassa-1308	14	7	hydrology	hydrology	NOUN
ijassa-1308	14	8	[	[	X
ijassa-1308	14	9	6	6	NUM
ijassa-1308	14	10	,	,	PUNCT
ijassa-1308	14	11	27	27	NUM
ijassa-1308	14	12	]	]	PUNCT
ijassa-1308	14	13	,	,	PUNCT
ijassa-1308	14	14	food	food	NOUN
ijassa-1308	14	15	engineering	engineering	NOUN
ijassa-1308	14	16	[	[	X
ijassa-1308	14	17	21	21	NUM
ijassa-1308	14	18	]	]	PUNCT
ijassa-1308	14	19	and	and	CCONJ
ijassa-1308	14	20	numerous	numerous	ADJ
ijassa-1308	14	21	other	other	ADJ
ijassa-1308	14	22	applications	application	NOUN
ijassa-1308	14	23	.	.	PUNCT
ijassa-1308	15	1	with	with	ADP
ijassa-1308	15	2	recent	recent	ADJ
ijassa-1308	15	3	progress	progress	NOUN
ijassa-1308	15	4	in	in	ADP
ijassa-1308	15	5	3d	3d	NUM
ijassa-1308	15	6	imaging	imaging	NOUN
ijassa-1308	16	1	[	[	X
ijassa-1308	16	2	19,68	19,68	NUM
ijassa-1308	16	3	]	]	PUNCT
ijassa-1308	16	4	,	,	PUNCT
ijassa-1308	16	5	stochastic	stochastic	ADJ
ijassa-1308	16	6	reconstructions	reconstruction	NOUN
ijassa-1308	16	7	based	base	VERB
ijassa-1308	16	8	on	on	ADP
ijassa-1308	16	9	limited	limited	ADJ
ijassa-1308	16	10	input	input	NOUN
ijassa-1308	16	11	data	datum	NOUN
ijassa-1308	16	12	[	[	X
ijassa-1308	16	13	3,17,35,39,63,71	3,17,35,39,63,71	NUM
ijassa-1308	16	14	]	]	PUNCT
ijassa-1308	16	15	,	,	PUNCT
ijassa-1308	16	16	or	or	CCONJ
ijassa-1308	16	17	their	their	PRON
ijassa-1308	16	18	combination	combination	NOUN
ijassa-1308	16	19	[	[	X
ijassa-1308	16	20	47,48	47,48	NOUN
ijassa-1308	16	21	]	]	PUNCT
ijassa-1308	16	22	,	,	PUNCT
ijassa-1308	16	23	obtaining	obtain	VERB
ijassa-1308	16	24	detailed	detailed	ADJ
ijassa-1308	16	25	structural	structural	ADJ
ijassa-1308	16	26	information	information	NOUN
ijassa-1308	16	27	for	for	ADP
ijassa-1308	16	28	a	a	DET
ijassa-1308	16	29	given	give	VERB
ijassa-1308	16	30	porous	porous	ADJ
ijassa-1308	16	31	media	medium	NOUN
ijassa-1308	16	32	sample	sample	NOUN
ijassa-1308	16	33	is	be	AUX
ijassa-1308	16	34	not	not	PART
ijassa-1308	16	35	an	an	DET
ijassa-1308	16	36	issue	issue	NOUN
ijassa-1308	16	37	.	.	PUNCT
ijassa-1308	17	1	moreover	moreover	ADV
ijassa-1308	17	2	,	,	PUNCT
ijassa-1308	17	3	recently	recently	ADV
ijassa-1308	17	4	proposed	propose	VERB
ijassa-1308	17	5	multiscale	multiscale	ADJ
ijassa-1308	17	6	image	image	NOUN
ijassa-1308	17	7	fusion	fusion	NOUN
ijassa-1308	17	8	techniques	technique	NOUN
ijassa-1308	17	9	[	[	X
ijassa-1308	17	10	24	24	NUM
ijassa-1308	17	11	]	]	PUNCT
ijassa-1308	17	12	provide	provide	VERB
ijassa-1308	17	13	a	a	DET
ijassa-1308	17	14	solution	solution	NOUN
ijassa-1308	17	15	for	for	ADP
ijassa-1308	17	16	complex	complex	ADJ
ijassa-1308	17	17	/	/	SYM
ijassa-1308	17	18	hierarchical	hierarchical	ADJ
ijassa-1308	17	19	porous	porous	ADJ
ijassa-1308	17	20	media	medium	NOUN
ijassa-1308	17	21	samples	sample	NOUN
ijassa-1308	17	22	such	such	ADJ
ijassa-1308	17	23	as	as	ADP
ijassa-1308	17	24	complex	complex	ADJ
ijassa-1308	17	25	rocks	rock	NOUN
ijassa-1308	18	1	[	[	X
ijassa-1308	18	2	19	19	NUM
ijassa-1308	18	3	,	,	PUNCT
ijassa-1308	18	4	25	25	NUM
ijassa-1308	18	5	]	]	PUNCT
ijassa-1308	18	6	and	and	CCONJ
ijassa-1308	18	7	soils	soil	NOUN
ijassa-1308	18	8	[	[	X
ijassa-1308	18	9	40	40	NUM
ijassa-1308	18	10	]	]	PUNCT
ijassa-1308	18	11	.	.	PUNCT
ijassa-1308	19	1	regardless	regardless	ADV
ijassa-1308	19	2	of	of	ADP
ijassa-1308	19	3	the	the	DET
ijassa-1308	19	4	methodology	methodology	NOUN
ijassa-1308	19	5	employed	employ	VERB
ijassa-1308	19	6	,	,	PUNCT
ijassa-1308	19	7	some	some	DET
ijassa-1308	19	8	input	input	NOUN
ijassa-1308	19	9	experimentally	experimentally	ADV
ijassa-1308	19	10	∗corresponding	∗corresponde	VERB
ijassa-1308	19	11	author	author	NOUN
ijassa-1308	19	12	:	:	PUNCT
ijassa-1308	19	13	e.lavrukhin@digital-core.ru	e.lavrukhin@digital-core.ru	X
ijassa-1308	19	14	32	32	NUM
ijassa-1308	19	15	efim	efim	NOUN
ijassa-1308	19	16	v.	v.	ADP
ijassa-1308	19	17	lavrukhin	lavrukhin	NOUN
ijassa-1308	19	18	,	,	PUNCT
ijassa-1308	19	19	vasily	vasily	NOUN
ijassa-1308	19	20	postnicov	postnicov	NOUN
ijassa-1308	19	21	,	,	PUNCT
ijassa-1308	19	22	kirill	kirill	PROPN
ijassa-1308	19	23	m.	m.	PROPN
ijassa-1308	19	24	gerke	gerke	PROPN
ijassa-1308	19	25	obtained	obtain	VERB
ijassa-1308	19	26	structural	structural	ADJ
ijassa-1308	19	27	information	information	NOUN
ijassa-1308	19	28	is	be	AUX
ijassa-1308	19	29	necessary	necessary	ADJ
ijassa-1308	19	30	,	,	PUNCT
ijassa-1308	19	31	and	and	CCONJ
ijassa-1308	19	32	is	be	AUX
ijassa-1308	19	33	mainly	mainly	ADV
ijassa-1308	19	34	obtained	obtain	VERB
ijassa-1308	19	35	by	by	ADP
ijassa-1308	19	36	scanning	scan	VERB
ijassa-1308	19	37	electron	electron	NOUN
ijassa-1308	19	38	microscopy	microscopy	NOUN
ijassa-1308	19	39	(	(	PUNCT
ijassa-1308	19	40	sem	sem	NOUN
ijassa-1308	19	41	)	)	PUNCT
ijassa-1308	19	42	,	,	PUNCT
ijassa-1308	19	43	focused	focus	VERB
ijassa-1308	19	44	ion	ion	NOUN
ijassa-1308	19	45	beam	beam	NOUN
ijassa-1308	19	46	-	-	PUNCT
ijassa-1308	19	47	sem	sem	NOUN
ijassa-1308	19	48	imaging	imaging	NOUN
ijassa-1308	19	49	,	,	PUNCT
ijassa-1308	19	50	or	or	CCONJ
ijassa-1308	19	51	x	x	X
ijassa-1308	19	52	-	-	NOUN
ijassa-1308	19	53	ray	ray	NOUN
ijassa-1308	19	54	computed	compute	VERB
ijassa-1308	19	55	tomography	tomography	NOUN
ijassa-1308	19	56	(	(	PUNCT
ijassa-1308	19	57	xct	xct	PROPN
ijassa-1308	19	58	)	)	PUNCT
ijassa-1308	20	1	[	[	X
ijassa-1308	20	2	25	25	NUM
ijassa-1308	20	3	]	]	PUNCT
ijassa-1308	20	4	.	.	PUNCT
ijassa-1308	21	1	this	this	DET
ijassa-1308	21	2	information	information	NOUN
ijassa-1308	21	3	comes	come	VERB
ijassa-1308	21	4	in	in	ADP
ijassa-1308	21	5	the	the	DET
ijassa-1308	21	6	form	form	NOUN
ijassa-1308	21	7	of	of	ADP
ijassa-1308	21	8	grayscale	grayscale	NOUN
ijassa-1308	21	9	images	image	NOUN
ijassa-1308	21	10	where	where	SCONJ
ijassa-1308	21	11	pixels	pixel	NOUN
ijassa-1308	21	12	/	/	SYM
ijassa-1308	21	13	voxels	voxel	NOUN
ijassa-1308	21	14	have	have	VERB
ijassa-1308	21	15	the	the	DET
ijassa-1308	21	16	intensity	intensity	NOUN
ijassa-1308	21	17	proportional	proportional	ADJ
ijassa-1308	21	18	to	to	ADP
ijassa-1308	21	19	some	some	DET
ijassa-1308	21	20	local	local	ADJ
ijassa-1308	21	21	physical	physical	ADJ
ijassa-1308	21	22	property	property	NOUN
ijassa-1308	21	23	,	,	PUNCT
ijassa-1308	21	24	e.g.	e.g.	ADV
ijassa-1308	21	25	,	,	PUNCT
ijassa-1308	21	26	for	for	ADP
ijassa-1308	21	27	xct	xct	PROPN
ijassa-1308	21	28	it	it	PRON
ijassa-1308	21	29	depends	depend	VERB
ijassa-1308	21	30	on	on	ADP
ijassa-1308	21	31	local	local	ADJ
ijassa-1308	21	32	x	x	ADJ
ijassa-1308	21	33	-	-	NOUN
ijassa-1308	21	34	ray	ray	NOUN
ijassa-1308	21	35	absorption	absorption	NOUN
ijassa-1308	21	36	[	[	X
ijassa-1308	21	37	68	68	NUM
ijassa-1308	21	38	]	]	PUNCT
ijassa-1308	21	39	.	.	PUNCT
ijassa-1308	22	1	yet	yet	ADV
ijassa-1308	22	2	,	,	PUNCT
ijassa-1308	22	3	as	as	SCONJ
ijassa-1308	22	4	we	we	PRON
ijassa-1308	22	5	previously	previously	ADV
ijassa-1308	22	6	defined	define	VERB
ijassa-1308	22	7	structure	structure	NOUN
ijassa-1308	22	8	as	as	ADP
ijassa-1308	22	9	spatial	spatial	ADJ
ijassa-1308	22	10	distribution	distribution	NOUN
ijassa-1308	22	11	of	of	ADP
ijassa-1308	22	12	constituting	constitute	VERB
ijassa-1308	22	13	phases	phase	NOUN
ijassa-1308	22	14	,	,	PUNCT
ijassa-1308	22	15	the	the	DET
ijassa-1308	22	16	crucial	crucial	ADJ
ijassa-1308	22	17	step	step	NOUN
ijassa-1308	22	18	necessary	necessary	ADJ
ijassa-1308	22	19	to	to	PART
ijassa-1308	22	20	perform	perform	VERB
ijassa-1308	22	21	pore	pore	ADJ
ijassa-1308	22	22	-	-	PUNCT
ijassa-1308	22	23	scale	scale	NOUN
ijassa-1308	22	24	simulations	simulation	NOUN
ijassa-1308	22	25	is	be	AUX
ijassa-1308	22	26	the	the	DET
ijassa-1308	22	27	transition	transition	NOUN
ijassa-1308	22	28	from	from	ADP
ijassa-1308	22	29	local	local	ADJ
ijassa-1308	22	30	attenuation	attenuation	NOUN
ijassa-1308	22	31	coefficients	coefficient	NOUN
ijassa-1308	22	32	to	to	ADP
ijassa-1308	22	33	local	local	ADJ
ijassa-1308	22	34	material(s	material(s	NOUN
ijassa-1308	22	35	)	)	PUNCT
ijassa-1308	22	36	distribution	distribution	NOUN
ijassa-1308	22	37	.	.	PUNCT
ijassa-1308	23	1	in	in	ADP
ijassa-1308	23	2	the	the	DET
ijassa-1308	23	3	simplest	simple	ADJ
ijassa-1308	23	4	case	case	NOUN
ijassa-1308	23	5	that	that	PRON
ijassa-1308	23	6	is	be	AUX
ijassa-1308	23	7	needed	need	VERB
ijassa-1308	23	8	,	,	PUNCT
ijassa-1308	23	9	for	for	ADP
ijassa-1308	23	10	instance	instance	NOUN
ijassa-1308	23	11	,	,	PUNCT
ijassa-1308	23	12	to	to	PART
ijassa-1308	23	13	solve	solve	VERB
ijassa-1308	23	14	stokes	stoke	NOUN
ijassa-1308	23	15	equation	equation	NOUN
ijassa-1308	23	16	to	to	PART
ijassa-1308	23	17	simulate	simulate	VERB
ijassa-1308	23	18	single	single	ADJ
ijassa-1308	23	19	phase	phase	NOUN
ijassa-1308	23	20	flow	flow	NOUN
ijassa-1308	23	21	and	and	CCONJ
ijassa-1308	23	22	compute	compute	ADJ
ijassa-1308	23	23	permeability	permeability	NOUN
ijassa-1308	23	24	[	[	X
ijassa-1308	23	25	29,43,55	29,43,55	X
ijassa-1308	23	26	]	]	PUNCT
ijassa-1308	23	27	,	,	PUNCT
ijassa-1308	23	28	we	we	PRON
ijassa-1308	23	29	need	need	VERB
ijassa-1308	23	30	to	to	PART
ijassa-1308	23	31	distinguish	distinguish	VERB
ijassa-1308	23	32	two	two	NUM
ijassa-1308	23	33	porous	porous	ADJ
ijassa-1308	23	34	media	medium	NOUN
ijassa-1308	23	35	components	component	NOUN
ijassa-1308	23	36	—	—	PUNCT
ijassa-1308	23	37	pores	pore	NOUN
ijassa-1308	23	38	and	and	CCONJ
ijassa-1308	23	39	solids	solid	NOUN
ijassa-1308	23	40	.	.	PUNCT
ijassa-1308	24	1	such	such	DET
ijassa-1308	24	2	a	a	DET
ijassa-1308	24	3	transition	transition	NOUN
ijassa-1308	24	4	from	from	ADP
ijassa-1308	24	5	local	local	ADJ
ijassa-1308	24	6	physical	physical	ADJ
ijassa-1308	24	7	properties	property	NOUN
ijassa-1308	24	8	to	to	ADP
ijassa-1308	24	9	phases	phase	NOUN
ijassa-1308	24	10	(	(	PUNCT
ijassa-1308	24	11	or	or	CCONJ
ijassa-1308	24	12	materials	material	NOUN
ijassa-1308	24	13	)	)	PUNCT
ijassa-1308	24	14	is	be	AUX
ijassa-1308	24	15	called	call	VERB
ijassa-1308	24	16	image	image	NOUN
ijassa-1308	24	17	segmentation	segmentation	NOUN
ijassa-1308	24	18	,	,	PUNCT
ijassa-1308	24	19	and	and	CCONJ
ijassa-1308	24	20	,	,	PUNCT
ijassa-1308	24	21	in	in	ADP
ijassa-1308	24	22	case	case	NOUN
ijassa-1308	24	23	of	of	ADP
ijassa-1308	24	24	two	two	NUM
ijassa-1308	24	25	phases	phase	NOUN
ijassa-1308	24	26	(	(	PUNCT
ijassa-1308	24	27	e.g.	e.g.	ADV
ijassa-1308	24	28	,	,	PUNCT
ijassa-1308	24	29	pores	pore	NOUN
ijassa-1308	24	30	and	and	CCONJ
ijassa-1308	24	31	solids	solid	NOUN
ijassa-1308	24	32	)	)	PUNCT
ijassa-1308	24	33	,	,	PUNCT
ijassa-1308	24	34	segmentation	segmentation	NOUN
ijassa-1308	24	35	is	be	AUX
ijassa-1308	24	36	also	also	ADV
ijassa-1308	24	37	referred	refer	VERB
ijassa-1308	24	38	to	to	ADP
ijassa-1308	24	39	as	as	ADP
ijassa-1308	24	40	binarization	binarization	NOUN
ijassa-1308	24	41	.	.	PUNCT
ijassa-1308	25	1	the	the	DET
ijassa-1308	25	2	biggest	big	ADJ
ijassa-1308	25	3	problem	problem	NOUN
ijassa-1308	25	4	of	of	ADP
ijassa-1308	25	5	any	any	DET
ijassa-1308	25	6	segmentation	segmentation	NOUN
ijassa-1308	25	7	procedure	procedure	NOUN
ijassa-1308	25	8	is	be	AUX
ijassa-1308	25	9	that	that	SCONJ
ijassa-1308	25	10	it	it	PRON
ijassa-1308	25	11	is	be	AUX
ijassa-1308	25	12	never	never	ADV
ijassa-1308	25	13	strictly	strictly	ADV
ijassa-1308	25	14	rigorous	rigorous	ADJ
ijassa-1308	25	15	and	and	CCONJ
ijassa-1308	25	16	always	always	ADV
ijassa-1308	25	17	contain	contain	VERB
ijassa-1308	25	18	some	some	DET
ijassa-1308	25	19	degree	degree	NOUN
ijassa-1308	25	20	of	of	ADP
ijassa-1308	25	21	uncertainty	uncertainty	NOUN
ijassa-1308	25	22	.	.	PUNCT
ijassa-1308	26	1	apart	apart	ADV
ijassa-1308	26	2	from	from	ADP
ijassa-1308	26	3	numerous	numerous	ADJ
ijassa-1308	26	4	experimental	experimental	ADJ
ijassa-1308	26	5	and	and	CCONJ
ijassa-1308	26	6	numerical	numerical	ADJ
ijassa-1308	26	7	problems	problem	NOUN
ijassa-1308	26	8	associated	associate	VERB
ijassa-1308	26	9	with	with	ADP
ijassa-1308	26	10	image	image	NOUN
ijassa-1308	26	11	acquisition	acquisition	NOUN
ijassa-1308	26	12	,	,	PUNCT
ijassa-1308	26	13	the	the	DET
ijassa-1308	26	14	main	main	ADJ
ijassa-1308	26	15	reason	reason	NOUN
ijassa-1308	26	16	for	for	ADP
ijassa-1308	26	17	this	this	DET
ijassa-1308	26	18	issue	issue	NOUN
ijassa-1308	26	19	to	to	PART
ijassa-1308	26	20	appear	appear	VERB
ijassa-1308	26	21	is	be	AUX
ijassa-1308	26	22	due	due	ADJ
ijassa-1308	26	23	to	to	ADP
ijassa-1308	26	24	the	the	DET
ijassa-1308	26	25	limited	limited	ADJ
ijassa-1308	26	26	imaging	imaging	NOUN
ijassa-1308	26	27	resolution	resolution	NOUN
ijassa-1308	26	28	–	–	PUNCT
ijassa-1308	26	29	partial	partial	ADJ
ijassa-1308	26	30	volume	volume	NOUN
ijassa-1308	26	31	effects	effect	NOUN
ijassa-1308	26	32	[	[	X
ijassa-1308	26	33	19	19	NUM
ijassa-1308	26	34	,	,	PUNCT
ijassa-1308	26	35	20	20	NUM
ijassa-1308	26	36	,	,	PUNCT
ijassa-1308	26	37	28	28	NUM
ijassa-1308	26	38	,	,	PUNCT
ijassa-1308	26	39	68	68	NUM
ijassa-1308	26	40	]	]	PUNCT
ijassa-1308	26	41	,	,	PUNCT
ijassa-1308	26	42	i.e.	i.e.	X
ijassa-1308	26	43	,	,	PUNCT
ijassa-1308	26	44	precise	precise	ADJ
ijassa-1308	26	45	segmentation	segmentation	NOUN
ijassa-1308	26	46	would	would	AUX
ijassa-1308	26	47	be	be	AUX
ijassa-1308	26	48	possible	possible	ADJ
ijassa-1308	26	49	only	only	ADV
ijassa-1308	26	50	for	for	ADP
ijassa-1308	26	51	images	image	NOUN
ijassa-1308	26	52	with	with	ADP
ijassa-1308	26	53	nearly	nearly	ADV
ijassa-1308	26	54	infinite	infinite	ADJ
ijassa-1308	26	55	resolution	resolution	NOUN
ijassa-1308	26	56	.	.	PUNCT
ijassa-1308	27	1	in	in	ADP
ijassa-1308	27	2	other	other	ADJ
ijassa-1308	27	3	words	word	NOUN
ijassa-1308	27	4	,	,	PUNCT
ijassa-1308	27	5	each	each	DET
ijassa-1308	27	6	pixel	pixel	PROPN
ijassa-1308	27	7	/	/	SYM
ijassa-1308	27	8	voxel	voxel	PROPN
ijassa-1308	27	9	usually	usually	ADV
ijassa-1308	27	10	contain	contain	VERB
ijassa-1308	27	11	a	a	DET
ijassa-1308	27	12	mixture	mixture	NOUN
ijassa-1308	27	13	of	of	ADP
ijassa-1308	27	14	different	different	ADJ
ijassa-1308	27	15	phases	phase	NOUN
ijassa-1308	27	16	,	,	PUNCT
ijassa-1308	27	17	but	but	CCONJ
ijassa-1308	27	18	segmentation	segmentation	NOUN
ijassa-1308	27	19	requires	require	VERB
ijassa-1308	27	20	it	it	PRON
ijassa-1308	27	21	to	to	PART
ijassa-1308	27	22	be	be	AUX
ijassa-1308	27	23	affiliated	affiliate	VERB
ijassa-1308	27	24	with	with	ADP
ijassa-1308	27	25	a	a	DET
ijassa-1308	27	26	relevant	relevant	ADJ
ijassa-1308	27	27	phase	phase	NOUN
ijassa-1308	27	28	,	,	PUNCT
ijassa-1308	27	29	ideally	ideally	ADV
ijassa-1308	27	30	with	with	ADP
ijassa-1308	27	31	the	the	DET
ijassa-1308	27	32	material	material	NOUN
ijassa-1308	27	33	which	which	PRON
ijassa-1308	27	34	dominates	dominate	VERB
ijassa-1308	27	35	the	the	DET
ijassa-1308	27	36	volume	volume	NOUN
ijassa-1308	27	37	under	under	ADP
ijassa-1308	27	38	study	study	NOUN
ijassa-1308	27	39	.	.	PUNCT
ijassa-1308	28	1	utilization	utilization	NOUN
ijassa-1308	28	2	of	of	ADP
ijassa-1308	28	3	grayscale	grayscale	NOUN
ijassa-1308	28	4	values	value	NOUN
ijassa-1308	28	5	to	to	PART
ijassa-1308	28	6	evaluate	evaluate	VERB
ijassa-1308	28	7	local	local	ADJ
ijassa-1308	28	8	abundance	abundance	NOUN
ijassa-1308	28	9	of	of	ADP
ijassa-1308	28	10	a	a	DET
ijassa-1308	28	11	given	give	VERB
ijassa-1308	28	12	material	material	NOUN
ijassa-1308	28	13	within	within	ADP
ijassa-1308	28	14	each	each	DET
ijassa-1308	28	15	pixel	pixel	PROPN
ijassa-1308	28	16	/	/	SYM
ijassa-1308	28	17	voxel	voxel	PROPN
ijassa-1308	28	18	is	be	AUX
ijassa-1308	28	19	possible	possible	ADJ
ijassa-1308	28	20	only	only	ADV
ijassa-1308	28	21	for	for	ADP
ijassa-1308	28	22	mono	mono	NOUN
ijassa-1308	28	23	-	-	PUNCT
ijassa-1308	28	24	component	component	NOUN
ijassa-1308	28	25	(	(	PUNCT
ijassa-1308	28	26	consisting	consist	VERB
ijassa-1308	28	27	of	of	ADP
ijassa-1308	28	28	a	a	DET
ijassa-1308	28	29	single	single	ADJ
ijassa-1308	28	30	material	material	NOUN
ijassa-1308	28	31	,	,	PUNCT
ijassa-1308	28	32	which	which	PRON
ijassa-1308	28	33	is	be	AUX
ijassa-1308	28	34	rarely	rarely	ADV
ijassa-1308	28	35	the	the	DET
ijassa-1308	28	36	case	case	NOUN
ijassa-1308	28	37	in	in	ADP
ijassa-1308	28	38	relevant	relevant	ADJ
ijassa-1308	28	39	applications	application	NOUN
ijassa-1308	28	40	)	)	PUNCT
ijassa-1308	28	41	or	or	CCONJ
ijassa-1308	28	42	requires	require	VERB
ijassa-1308	28	43	complex	complex	ADJ
ijassa-1308	28	44	dual	dual	ADJ
ijassa-1308	28	45	energy	energy	NOUN
ijassa-1308	28	46	scanning	scanning	NOUN
ijassa-1308	28	47	with	with	ADP
ijassa-1308	28	48	subsequent	subsequent	ADJ
ijassa-1308	28	49	inverse	inverse	NOUN
ijassa-1308	28	50	modelling	modelling	NOUN
ijassa-1308	28	51	[	[	X
ijassa-1308	28	52	70	70	NUM
ijassa-1308	28	53	]	]	PUNCT
ijassa-1308	28	54	.	.	PUNCT
ijassa-1308	29	1	the	the	DET
ijassa-1308	29	2	primary	primary	ADJ
ijassa-1308	29	3	target	target	NOUN
ijassa-1308	29	4	of	of	ADP
ijassa-1308	29	5	the	the	DET
ijassa-1308	29	6	segmentation	segmentation	NOUN
ijassa-1308	29	7	procedure	procedure	NOUN
ijassa-1308	29	8	in	in	ADP
ijassa-1308	29	9	this	this	DET
ijassa-1308	29	10	context	context	NOUN
ijassa-1308	29	11	is	be	AUX
ijassa-1308	29	12	to	to	PART
ijassa-1308	29	13	provide	provide	VERB
ijassa-1308	29	14	as	as	ADV
ijassa-1308	29	15	accurate	accurate	ADJ
ijassa-1308	29	16	as	as	ADP
ijassa-1308	29	17	possible	possible	ADJ
ijassa-1308	29	18	approximation	approximation	NOUN
ijassa-1308	29	19	of	of	ADP
ijassa-1308	29	20	the	the	DET
ijassa-1308	29	21	spatial	spatial	ADJ
ijassa-1308	29	22	distribution	distribution	NOUN
ijassa-1308	29	23	of	of	ADP
ijassa-1308	29	24	phases	phase	NOUN
ijassa-1308	29	25	under	under	ADP
ijassa-1308	29	26	given	give	VERB
ijassa-1308	29	27	image	image	NOUN
ijassa-1308	29	28	resolution	resolution	NOUN
ijassa-1308	29	29	conditions	condition	NOUN
ijassa-1308	29	30	.	.	PUNCT
ijassa-1308	30	1	numerous	numerous	ADJ
ijassa-1308	30	2	segmentation	segmentation	NOUN
ijassa-1308	30	3	techniques	technique	NOUN
ijassa-1308	30	4	are	be	AUX
ijassa-1308	30	5	available	available	ADJ
ijassa-1308	30	6	for	for	ADP
ijassa-1308	30	7	this	this	DET
ijassa-1308	30	8	task	task	NOUN
ijassa-1308	30	9	and	and	CCONJ
ijassa-1308	30	10	can	can	AUX
ijassa-1308	30	11	be	be	AUX
ijassa-1308	30	12	roughly	roughly	ADV
ijassa-1308	30	13	divided	divide	VERB
ijassa-1308	30	14	into	into	ADP
ijassa-1308	30	15	four	four	NUM
ijassa-1308	30	16	categories	category	NOUN
ijassa-1308	30	17	:	:	PUNCT
ijassa-1308	30	18	1	1	X
ijassa-1308	30	19	.	.	PUNCT
ijassa-1308	30	20	manual	manual	ADJ
ijassa-1308	30	21	segmentation	segmentation	NOUN
ijassa-1308	30	22	;	;	PUNCT
ijassa-1308	30	23	2	2	X
ijassa-1308	30	24	.	.	X
ijassa-1308	30	25	global	global	ADJ
ijassa-1308	30	26	thresholding	thresholding	NOUN
ijassa-1308	30	27	;	;	PUNCT
ijassa-1308	30	28	3	3	X
ijassa-1308	30	29	.	.	X
ijassa-1308	30	30	local	local	ADJ
ijassa-1308	30	31	thresholding	thresholding	NOUN
ijassa-1308	30	32	methods	method	NOUN
ijassa-1308	30	33	;	;	PUNCT
ijassa-1308	30	34	4	4	X
ijassa-1308	30	35	.	.	X
ijassa-1308	30	36	other	other	ADJ
ijassa-1308	30	37	approaches	approach	NOUN
ijassa-1308	30	38	including	include	VERB
ijassa-1308	30	39	machine	machine	NOUN
ijassa-1308	30	40	learning	learning	NOUN
ijassa-1308	30	41	and	and	CCONJ
ijassa-1308	30	42	unsupervised	unsupervised	ADJ
ijassa-1308	30	43	learning	learning	NOUN
ijassa-1308	30	44	algorithms	algorithm	NOUN
ijassa-1308	30	45	.	.	PUNCT
ijassa-1308	31	1	manual	manual	ADJ
ijassa-1308	31	2	approach	approach	NOUN
ijassa-1308	31	3	implies	imply	VERB
ijassa-1308	31	4	the	the	DET
ijassa-1308	31	5	choice	choice	NOUN
ijassa-1308	31	6	of	of	ADP
ijassa-1308	31	7	a	a	DET
ijassa-1308	31	8	single	single	ADJ
ijassa-1308	31	9	threshold	threshold	NOUN
ijassa-1308	31	10	grayscale	grayscale	NOUN
ijassa-1308	31	11	value	value	NOUN
ijassa-1308	31	12	between	between	ADP
ijassa-1308	31	13	two	two	NUM
ijassa-1308	31	14	phases	phase	NOUN
ijassa-1308	31	15	to	to	PART
ijassa-1308	31	16	be	be	AUX
ijassa-1308	31	17	segmented	segment	VERB
ijassa-1308	31	18	by	by	ADP
ijassa-1308	31	19	an	an	DET
ijassa-1308	31	20	operator	operator	NOUN
ijassa-1308	31	21	and	and	CCONJ
ijassa-1308	31	22	still	still	ADV
ijassa-1308	31	23	a	a	DET
ijassa-1308	31	24	popular	popular	ADJ
ijassa-1308	31	25	way	way	NOUN
ijassa-1308	31	26	to	to	PART
ijassa-1308	31	27	go	go	VERB
ijassa-1308	31	28	.	.	PUNCT
ijassa-1308	32	1	global	global	ADJ
ijassa-1308	32	2	segmentation	segmentation	NOUN
ijassa-1308	32	3	approach	approach	NOUN
ijassa-1308	32	4	is	be	AUX
ijassa-1308	32	5	basically	basically	ADV
ijassa-1308	32	6	the	the	DET
ijassa-1308	32	7	same	same	ADJ
ijassa-1308	32	8	as	as	ADP
ijassa-1308	32	9	manual	manual	ADJ
ijassa-1308	32	10	one	one	NUM
ijassa-1308	32	11	,	,	PUNCT
ijassa-1308	32	12	but	but	CCONJ
ijassa-1308	32	13	the	the	DET
ijassa-1308	32	14	threshold	threshold	NOUN
ijassa-1308	32	15	is	be	AUX
ijassa-1308	32	16	chosen	choose	VERB
ijassa-1308	32	17	with	with	ADP
ijassa-1308	32	18	the	the	DET
ijassa-1308	32	19	help	help	NOUN
ijassa-1308	32	20	of	of	ADP
ijassa-1308	32	21	some	some	DET
ijassa-1308	32	22	automatic	automatic	ADJ
ijassa-1308	32	23	computational	computational	ADJ
ijassa-1308	32	24	technique	technique	NOUN
ijassa-1308	32	25	based	base	VERB
ijassa-1308	32	26	on	on	ADP
ijassa-1308	32	27	grayscale	grayscale	PROPN
ijassa-1308	32	28	histogram	histogram	PROPN
ijassa-1308	32	29	(	(	PUNCT
ijassa-1308	32	30	e.g.	e.g.	ADV
ijassa-1308	32	31	,	,	PUNCT
ijassa-1308	32	32	by	by	ADP
ijassa-1308	32	33	minimizing	minimize	VERB
ijassa-1308	32	34	intra	intra	ADJ
ijassa-1308	32	35	-	-	ADJ
ijassa-1308	32	36	class	class	ADJ
ijassa-1308	32	37	variance	variance	NOUN
ijassa-1308	32	38	in	in	ADP
ijassa-1308	32	39	the	the	DET
ijassa-1308	32	40	method	method	NOUN
ijassa-1308	32	41	by	by	ADP
ijassa-1308	32	42	otsu	otsu	NOUN
ijassa-1308	33	1	[	[	X
ijassa-1308	33	2	53	53	NUM
ijassa-1308	33	3	]	]	PUNCT
ijassa-1308	33	4	)	)	PUNCT
ijassa-1308	33	5	.	.	PUNCT
ijassa-1308	34	1	local	local	ADJ
ijassa-1308	34	2	thresholding	thresholde	VERB
ijassa-1308	34	3	methods	method	NOUN
ijassa-1308	34	4	identify	identify	VERB
ijassa-1308	34	5	two	two	NUM
ijassa-1308	34	6	thresholds	threshold	NOUN
ijassa-1308	34	7	for	for	ADP
ijassa-1308	34	8	each	each	DET
ijassa-1308	34	9	two	two	NUM
ijassa-1308	34	10	phases	phase	NOUN
ijassa-1308	34	11	to	to	PART
ijassa-1308	34	12	be	be	AUX
ijassa-1308	34	13	segmented	segment	VERB
ijassa-1308	34	14	out	out	ADP
ijassa-1308	34	15	.	.	PUNCT
ijassa-1308	35	1	these	these	DET
ijassa-1308	35	2	thresholds	threshold	NOUN
ijassa-1308	35	3	represent	represent	VERB
ijassa-1308	35	4	trustworthy	trustworthy	ADJ
ijassa-1308	35	5	boundaries	boundary	NOUN
ijassa-1308	35	6	which	which	PRON
ijassa-1308	35	7	define	define	VERB
ijassa-1308	35	8	,	,	PUNCT
ijassa-1308	35	9	for	for	ADP
ijassa-1308	35	10	example	example	NOUN
ijassa-1308	35	11	,	,	PUNCT
ijassa-1308	35	12	100	100	NUM
ijassa-1308	35	13	%	%	NOUN
ijassa-1308	35	14	certainty	certainty	NOUN
ijassa-1308	35	15	that	that	SCONJ
ijassa-1308	35	16	all	all	DET
ijassa-1308	35	17	voxels	voxel	NOUN
ijassa-1308	35	18	below	below	ADP
ijassa-1308	35	19	the	the	DET
ijassa-1308	35	20	lower	low	ADJ
ijassa-1308	35	21	threshold	threshold	NOUN
ijassa-1308	35	22	are	be	AUX
ijassa-1308	35	23	pores	pore	NOUN
ijassa-1308	35	24	,	,	PUNCT
ijassa-1308	35	25	while	while	SCONJ
ijassa-1308	35	26	all	all	DET
ijassa-1308	35	27	voxels	voxel	NOUN
ijassa-1308	35	28	above	above	ADP
ijassa-1308	35	29	the	the	DET
ijassa-1308	35	30	upper	upper	ADJ
ijassa-1308	35	31	threshold	threshold	NOUN
ijassa-1308	35	32	are	be	AUX
ijassa-1308	35	33	pores	pore	NOUN
ijassa-1308	35	34	.	.	PUNCT
ijassa-1308	36	1	the	the	DET
ijassa-1308	36	2	pixels	pixel	NOUN
ijassa-1308	36	3	/	/	SYM
ijassa-1308	36	4	voxels	voxel	NOUN
ijassa-1308	36	5	in	in	ADP
ijassa-1308	36	6	between	between	ADP
ijassa-1308	36	7	these	these	DET
ijassa-1308	36	8	two	two	NUM
ijassa-1308	36	9	bounds	bound	NOUN
ijassa-1308	36	10	are	be	AUX
ijassa-1308	36	11	treated	treat	VERB
ijassa-1308	36	12	and	and	CCONJ
ijassa-1308	36	13	classified	classify	VERB
ijassa-1308	36	14	according	accord	VERB
ijassa-1308	36	15	to	to	ADP
ijassa-1308	36	16	some	some	DET
ijassa-1308	36	17	algorithms	algorithm	NOUN
ijassa-1308	36	18	:	:	PUNCT
ijassa-1308	36	19	statistically	statistically	ADV
ijassa-1308	36	20	kriged	krige	VERB
ijassa-1308	36	21	in	in	ADP
ijassa-1308	36	22	the	the	DET
ijassa-1308	36	23	popular	popular	ADJ
ijassa-1308	36	24	indicator	indicator	NOUN
ijassa-1308	36	25	kriging	krige	VERB
ijassa-1308	36	26	method	method	NOUN
ijassa-1308	36	27	[	[	X
ijassa-1308	36	28	52	52	NUM
ijassa-1308	36	29	]	]	PUNCT
ijassa-1308	36	30	,	,	PUNCT
ijassa-1308	36	31	grown	grow	VERB
ijassa-1308	36	32	from	from	ADP
ijassa-1308	36	33	seeds	seed	NOUN
ijassa-1308	36	34	(	(	PUNCT
ijassa-1308	36	35	100	100	NUM
ijassa-1308	36	36	%	%	NOUN
ijassa-1308	36	37	certain	certain	ADJ
ijassa-1308	36	38	areas	area	NOUN
ijassa-1308	36	39	)	)	PUNCT
ijassa-1308	36	40	using	use	VERB
ijassa-1308	36	41	region	region	NOUN
ijassa-1308	36	42	growth	growth	NOUN
ijassa-1308	37	1	[	[	X
ijassa-1308	37	2	31	31	NUM
ijassa-1308	37	3	]	]	PUNCT
ijassa-1308	37	4	or	or	CCONJ
ijassa-1308	37	5	converging	converge	VERB
ijassa-1308	37	6	active	active	ADJ
ijassa-1308	37	7	contours	contours	NOUN
ijassa-1308	37	8	[	[	X
ijassa-1308	37	9	61	61	NUM
ijassa-1308	37	10	]	]	PUNCT
ijassa-1308	37	11	.	.	PUNCT
ijassa-1308	38	1	these	these	DET
ijassa-1308	38	2	thresholds	threshold	NOUN
ijassa-1308	38	3	are	be	AUX
ijassa-1308	38	4	chosen	choose	VERB
ijassa-1308	38	5	either	either	CCONJ
ijassa-1308	38	6	manually	manually	ADV
ijassa-1308	38	7	or	or	CCONJ
ijassa-1308	38	8	automatically	automatically	ADV
ijassa-1308	38	9	[	[	X
ijassa-1308	38	10	60	60	NUM
ijassa-1308	38	11	]	]	PUNCT
ijassa-1308	38	12	.	.	PUNCT
ijassa-1308	39	1	here	here	ADV
ijassa-1308	39	2	we	we	PRON
ijassa-1308	39	3	mentioned	mention	VERB
ijassa-1308	39	4	only	only	ADV
ijassa-1308	39	5	some	some	DET
ijassa-1308	39	6	popular	popular	ADJ
ijassa-1308	39	7	methods	method	NOUN
ijassa-1308	39	8	,	,	PUNCT
ijassa-1308	39	9	more	more	ADV
ijassa-1308	39	10	detailed	detailed	ADJ
ijassa-1308	39	11	list	list	NOUN
ijassa-1308	39	12	of	of	ADP
ijassa-1308	39	13	techniques	technique	NOUN
ijassa-1308	39	14	applied	apply	VERB
ijassa-1308	39	15	in	in	ADP
ijassa-1308	39	16	porous	porous	ADJ
ijassa-1308	39	17	media	medium	NOUN
ijassa-1308	39	18	research	research	NOUN
ijassa-1308	39	19	can	can	AUX
ijassa-1308	39	20	be	be	AUX
ijassa-1308	39	21	found	find	VERB
ijassa-1308	39	22	in	in	ADP
ijassa-1308	39	23	the	the	DET
ijassa-1308	39	24	review	review	NOUN
ijassa-1308	39	25	of	of	ADP
ijassa-1308	39	26	schlüter	schlüter	NOUN
ijassa-1308	39	27	et	et	PROPN
ijassa-1308	39	28	al	al	PROPN
ijassa-1308	39	29	.	.	PUNCT
ijassa-1308	40	1	[	[	X
ijassa-1308	40	2	59	59	NUM
ijassa-1308	40	3	]	]	PUNCT
ijassa-1308	40	4	.	.	PUNCT
ijassa-1308	41	1	machine	machine	NOUN
ijassa-1308	41	2	learning	learn	VERB
ijassa-1308	41	3	methods	method	NOUN
ijassa-1308	41	4	fall	fall	VERB
ijassa-1308	41	5	into	into	ADP
ijassa-1308	41	6	supervised	supervised	ADJ
ijassa-1308	41	7	and	and	CCONJ
ijassa-1308	41	8	unsupervised	unsupervised	ADJ
ijassa-1308	41	9	bins	bin	NOUN
ijassa-1308	41	10	,	,	PUNCT
ijassa-1308	41	11	in	in	ADP
ijassa-1308	41	12	the	the	DET
ijassa-1308	41	13	former	former	ADJ
ijassa-1308	41	14	case	case	NOUN
ijassa-1308	41	15	some	some	DET
ijassa-1308	41	16	input	input	NOUN
ijassa-1308	41	17	training	training	NOUN
ijassa-1308	41	18	information	information	NOUN
ijassa-1308	41	19	is	be	AUX
ijassa-1308	41	20	provided	provide	VERB
ijassa-1308	41	21	to	to	ADP
ijassa-1308	41	22	the	the	DET
ijassa-1308	41	23	algorithm	algorithm	NOUN
ijassa-1308	41	24	,	,	PUNCT
ijassa-1308	41	25	whilst	whilst	SCONJ
ijassa-1308	41	26	in	in	ADP
ijassa-1308	41	27	the	the	DET
ijassa-1308	41	28	latter	latter	ADJ
ijassa-1308	41	29	case	case	NOUN
ijassa-1308	41	30	the	the	DET
ijassa-1308	41	31	algorithm	algorithm	NOUN
ijassa-1308	41	32	makes	make	VERB
ijassa-1308	41	33	all	all	DET
ijassa-1308	41	34	decisions	decision	NOUN
ijassa-1308	41	35	by	by	ADP
ijassa-1308	41	36	itself	itself	PRON
ijassa-1308	41	37	.	.	PUNCT
ijassa-1308	42	1	despite	despite	SCONJ
ijassa-1308	42	2	the	the	DET
ijassa-1308	42	3	abundance	abundance	NOUN
ijassa-1308	42	4	of	of	ADP
ijassa-1308	42	5	segmentation	segmentation	NOUN
ijassa-1308	42	6	techniques	technique	NOUN
ijassa-1308	42	7	and	and	CCONJ
ijassa-1308	42	8	some	some	DET
ijassa-1308	42	9	auxiliary	auxiliary	ADJ
ijassa-1308	42	10	image	image	NOUN
ijassa-1308	42	11	processing	processing	NOUN
ijassa-1308	42	12	methods	method	NOUN
ijassa-1308	42	13	such	such	ADJ
ijassa-1308	42	14	as	as	ADP
ijassa-1308	42	15	filtering	filter	VERB
ijassa-1308	42	16	,	,	PUNCT
ijassa-1308	42	17	none	none	NOUN
ijassa-1308	42	18	of	of	ADP
ijassa-1308	42	19	the	the	DET
ijassa-1308	42	20	existing	exist	VERB
ijassa-1308	42	21	methodologies	methodology	NOUN
ijassa-1308	42	22	can	can	AUX
ijassa-1308	42	23	pretend	pretend	VERB
ijassa-1308	42	24	to	to	PART
ijassa-1308	42	25	provide	provide	VERB
ijassa-1308	42	26	universal	universal	ADJ
ijassa-1308	42	27	and	and	CCONJ
ijassa-1308	42	28	adequately	adequately	ADV
ijassa-1308	42	29	accurate	accurate	ADJ
ijassa-1308	42	30	results	result	NOUN
ijassa-1308	42	31	.	.	PUNCT
ijassa-1308	43	1	it	it	PRON
ijassa-1308	43	2	is	be	AUX
ijassa-1308	43	3	widely	widely	ADV
ijassa-1308	43	4	acknowledged	acknowledge	VERB
ijassa-1308	43	5	that	that	SCONJ
ijassa-1308	43	6	manual	manual	ADJ
ijassa-1308	43	7	and	and	CCONJ
ijassa-1308	43	8	global	global	ADJ
ijassa-1308	43	9	thresholding	thresholding	NOUN
ijassa-1308	43	10	techniques	technique	NOUN
ijassa-1308	43	11	are	be	AUX
ijassa-1308	43	12	inferior	inferior	ADJ
ijassa-1308	43	13	to	to	ADP
ijassa-1308	43	14	the	the	DET
ijassa-1308	43	15	local	local	ADJ
ijassa-1308	43	16	thresholding	thresholde	VERB
ijassa-1308	43	17	methods	method	NOUN
ijassa-1308	43	18	[	[	X
ijassa-1308	43	19	34	34	NUM
ijassa-1308	43	20	]	]	PUNCT
ijassa-1308	43	21	,	,	PUNCT
ijassa-1308	43	22	which	which	PRON
ijassa-1308	43	23	,	,	PUNCT
ijassa-1308	43	24	copyright	copyright	NOUN
ijassa-1308	43	25	©	©	PROPN
ijassa-1308	43	26	2022	2022	NUM
ijassa-1308	43	27	assa	assa	NOUN
ijassa-1308	43	28	.	.	PUNCT
ijassa-1308	44	1	adv	adv	PROPN
ijassa-1308	44	2	syst	syst	PROPN
ijassa-1308	44	3	sci	sci	PROPN
ijassa-1308	44	4	appl	appl	PROPN
ijassa-1308	44	5	(	(	PUNCT
ijassa-1308	44	6	2022	2022	NUM
ijassa-1308	44	7	)	)	PUNCT
ijassa-1308	44	8	the	the	DET
ijassa-1308	44	9	influence	influence	NOUN
ijassa-1308	44	10	of	of	ADP
ijassa-1308	44	11	image	image	NOUN
ijassa-1308	44	12	morphology	morphology	NOUN
ijassa-1308	44	13	...	...	PUNCT
ijassa-1308	44	14	33	33	NUM
ijassa-1308	44	15	in	in	ADP
ijassa-1308	44	16	turn	turn	NOUN
ijassa-1308	44	17	,	,	PUNCT
ijassa-1308	44	18	suffer	suffer	VERB
ijassa-1308	44	19	from	from	ADP
ijassa-1308	44	20	necessity	necessity	NOUN
ijassa-1308	44	21	to	to	PART
ijassa-1308	44	22	choose	choose	VERB
ijassa-1308	44	23	confidence	confidence	NOUN
ijassa-1308	44	24	bound	bind	VERB
ijassa-1308	44	25	threshold	threshold	NOUN
ijassa-1308	44	26	values	value	NOUN
ijassa-1308	44	27	.	.	PUNCT
ijassa-1308	45	1	automatic	automatic	ADJ
ijassa-1308	45	2	choice	choice	NOUN
ijassa-1308	45	3	of	of	ADP
ijassa-1308	45	4	thresholds	threshold	NOUN
ijassa-1308	45	5	[	[	X
ijassa-1308	45	6	59	59	NUM
ijassa-1308	45	7	,	,	PUNCT
ijassa-1308	45	8	60	60	NUM
ijassa-1308	45	9	]	]	PUNCT
ijassa-1308	45	10	does	do	AUX
ijassa-1308	45	11	not	not	PART
ijassa-1308	45	12	necessarily	necessarily	ADV
ijassa-1308	45	13	provide	provide	VERB
ijassa-1308	45	14	adequate	adequate	ADJ
ijassa-1308	45	15	results	result	NOUN
ijassa-1308	45	16	,	,	PUNCT
ijassa-1308	45	17	as	as	SCONJ
ijassa-1308	45	18	was	be	AUX
ijassa-1308	45	19	observed	observe	VERB
ijassa-1308	45	20	in	in	ADP
ijassa-1308	45	21	numerous	numerous	ADJ
ijassa-1308	45	22	studies	study	NOUN
ijassa-1308	45	23	[	[	X
ijassa-1308	45	24	40	40	NUM
ijassa-1308	45	25	]	]	PUNCT
ijassa-1308	45	26	.	.	PUNCT
ijassa-1308	46	1	an	an	DET
ijassa-1308	46	2	interesting	interesting	ADJ
ijassa-1308	46	3	study	study	NOUN
ijassa-1308	46	4	by	by	ADP
ijassa-1308	46	5	baveye	baveye	NOUN
ijassa-1308	46	6	et	et	PROPN
ijassa-1308	46	7	al	al	PROPN
ijassa-1308	46	8	.	.	PUNCT
ijassa-1308	47	1	[	[	X
ijassa-1308	47	2	7	7	X
ijassa-1308	47	3	]	]	PUNCT
ijassa-1308	47	4	concluded	conclude	VERB
ijassa-1308	47	5	that	that	SCONJ
ijassa-1308	47	6	human	human	ADJ
ijassa-1308	47	7	operator	operator	NOUN
ijassa-1308	47	8	performs	perform	VERB
ijassa-1308	47	9	much	much	ADV
ijassa-1308	47	10	better	well	ADJ
ijassa-1308	47	11	than	than	ADP
ijassa-1308	47	12	any	any	DET
ijassa-1308	47	13	automatic	automatic	ADJ
ijassa-1308	47	14	thresholding	thresholding	NOUN
ijassa-1308	47	15	algorithm	algorithm	NOUN
ijassa-1308	47	16	.	.	PUNCT
ijassa-1308	48	1	whether	whether	SCONJ
ijassa-1308	48	2	it	it	PRON
ijassa-1308	48	3	is	be	AUX
ijassa-1308	48	4	true	true	ADJ
ijassa-1308	48	5	or	or	CCONJ
ijassa-1308	48	6	not	not	PART
ijassa-1308	48	7	is	be	AUX
ijassa-1308	48	8	still	still	ADV
ijassa-1308	48	9	an	an	DET
ijassa-1308	48	10	open	open	ADJ
ijassa-1308	48	11	question	question	NOUN
ijassa-1308	48	12	,	,	PUNCT
ijassa-1308	48	13	as	as	ADP
ijassa-1308	48	14	the	the	DET
ijassa-1308	48	15	majority	majority	NOUN
ijassa-1308	48	16	of	of	ADP
ijassa-1308	48	17	segmentation	segmentation	NOUN
ijassa-1308	48	18	techniques	technique	NOUN
ijassa-1308	48	19	tested	test	VERB
ijassa-1308	48	20	by	by	ADP
ijassa-1308	48	21	baveye	baveye	NOUN
ijassa-1308	48	22	et	et	PROPN
ijassa-1308	48	23	al	al	PROPN
ijassa-1308	48	24	.	.	PUNCT
ijassa-1308	49	1	[	[	X
ijassa-1308	49	2	7	7	NUM
ijassa-1308	49	3	]	]	PUNCT
ijassa-1308	49	4	are	be	AUX
ijassa-1308	49	5	not	not	PART
ijassa-1308	49	6	necessarily	necessarily	ADV
ijassa-1308	49	7	suitable	suitable	ADJ
ijassa-1308	49	8	for	for	ADP
ijassa-1308	49	9	porous	porous	ADJ
ijassa-1308	49	10	media	medium	NOUN
ijassa-1308	49	11	applications	application	NOUN
ijassa-1308	49	12	.	.	PUNCT
ijassa-1308	50	1	the	the	DET
ijassa-1308	50	2	results	result	NOUN
ijassa-1308	50	3	of	of	ADP
ijassa-1308	50	4	the	the	DET
ijassa-1308	50	5	unsupervised	unsupervised	ADJ
ijassa-1308	50	6	segmentation	segmentation	NOUN
ijassa-1308	50	7	techniques	technique	NOUN
ijassa-1308	50	8	are	be	AUX
ijassa-1308	50	9	not	not	PART
ijassa-1308	50	10	robust	robust	ADJ
ijassa-1308	50	11	in	in	ADP
ijassa-1308	50	12	the	the	DET
ijassa-1308	50	13	sense	sense	NOUN
ijassa-1308	50	14	of	of	ADP
ijassa-1308	50	15	the	the	DET
ijassa-1308	50	16	number	number	NOUN
ijassa-1308	50	17	of	of	ADP
ijassa-1308	50	18	phases	phase	NOUN
ijassa-1308	50	19	[	[	X
ijassa-1308	50	20	33	33	NUM
ijassa-1308	50	21	]	]	PUNCT
ijassa-1308	50	22	and	and	CCONJ
ijassa-1308	50	23	accuracy	accuracy	NOUN
ijassa-1308	50	24	[	[	X
ijassa-1308	50	25	15	15	NUM
ijassa-1308	50	26	,	,	PUNCT
ijassa-1308	50	27	16	16	NUM
ijassa-1308	50	28	,	,	PUNCT
ijassa-1308	50	29	42	42	NUM
ijassa-1308	50	30	]	]	PUNCT
ijassa-1308	50	31	.	.	PUNCT
ijassa-1308	51	1	supervised	supervise	VERB
ijassa-1308	51	2	segmentation	segmentation	NOUN
ijassa-1308	51	3	methodologies	methodology	NOUN
ijassa-1308	51	4	are	be	AUX
ijassa-1308	51	5	very	very	ADV
ijassa-1308	51	6	limited	limited	ADJ
ijassa-1308	51	7	in	in	ADP
ijassa-1308	51	8	xct	xct	PROPN
ijassa-1308	51	9	porous	porous	ADJ
ijassa-1308	51	10	media	medium	NOUN
ijassa-1308	51	11	applications	application	NOUN
ijassa-1308	51	12	[	[	X
ijassa-1308	51	13	38	38	NUM
ijassa-1308	51	14	,	,	PUNCT
ijassa-1308	51	15	46	46	NUM
ijassa-1308	51	16	,	,	PUNCT
ijassa-1308	51	17	65	65	NUM
ijassa-1308	51	18	]	]	PUNCT
ijassa-1308	51	19	,	,	PUNCT
ijassa-1308	51	20	but	but	CCONJ
ijassa-1308	51	21	their	their	PRON
ijassa-1308	51	22	recent	recent	ADJ
ijassa-1308	51	23	usage	usage	NOUN
ijassa-1308	51	24	in	in	ADP
ijassa-1308	51	25	numerous	numerous	ADJ
ijassa-1308	51	26	other	other	ADJ
ijassa-1308	51	27	fields	field	NOUN
ijassa-1308	51	28	such	such	ADJ
ijassa-1308	51	29	as	as	ADP
ijassa-1308	51	30	medical	medical	ADJ
ijassa-1308	51	31	imaging	imaging	NOUN
ijassa-1308	51	32	[	[	X
ijassa-1308	51	33	9	9	NUM
ijassa-1308	51	34	]	]	PUNCT
ijassa-1308	51	35	,	,	PUNCT
ijassa-1308	51	36	neuroscience	neuroscience	NOUN
ijassa-1308	51	37	[	[	X
ijassa-1308	51	38	18	18	NUM
ijassa-1308	51	39	]	]	PUNCT
ijassa-1308	51	40	,	,	PUNCT
ijassa-1308	51	41	and	and	CCONJ
ijassa-1308	51	42	satellite	satellite	NOUN
ijassa-1308	51	43	image	image	NOUN
ijassa-1308	51	44	segmentation	segmentation	NOUN
ijassa-1308	51	45	for	for	ADP
ijassa-1308	51	46	urban	urban	ADJ
ijassa-1308	51	47	structures	structure	NOUN
ijassa-1308	51	48	[	[	X
ijassa-1308	51	49	4	4	X
ijassa-1308	51	50	]	]	PUNCT
ijassa-1308	51	51	and	and	CCONJ
ijassa-1308	51	52	flood	flood	NOUN
ijassa-1308	51	53	identification	identification	NOUN
ijassa-1308	51	54	[	[	X
ijassa-1308	51	55	51	51	NUM
ijassa-1308	51	56	]	]	PUNCT
ijassa-1308	51	57	motivated	motivate	VERB
ijassa-1308	51	58	this	this	DET
ijassa-1308	51	59	study	study	NOUN
ijassa-1308	51	60	.	.	PUNCT
ijassa-1308	52	1	moreover	moreover	ADV
ijassa-1308	52	2	,	,	PUNCT
ijassa-1308	52	3	testing	testing	NOUN
ijassa-1308	52	4	and	and	CCONJ
ijassa-1308	52	5	verification	verification	NOUN
ijassa-1308	52	6	of	of	ADP
ijassa-1308	52	7	all	all	DET
ijassa-1308	52	8	existing	exist	VERB
ijassa-1308	52	9	methodologies	methodology	NOUN
ijassa-1308	52	10	in	in	ADP
ijassa-1308	52	11	the	the	DET
ijassa-1308	52	12	area	area	NOUN
ijassa-1308	52	13	of	of	ADP
ijassa-1308	52	14	porous	porous	ADJ
ijassa-1308	52	15	media	medium	NOUN
ijassa-1308	52	16	research	research	NOUN
ijassa-1308	52	17	is	be	AUX
ijassa-1308	52	18	seriously	seriously	ADV
ijassa-1308	52	19	hampered	hamper	VERB
ijassa-1308	52	20	by	by	ADP
ijassa-1308	52	21	the	the	DET
ijassa-1308	52	22	absence	absence	NOUN
ijassa-1308	52	23	of	of	ADP
ijassa-1308	52	24	the	the	DET
ijassa-1308	52	25	true	true	ADJ
ijassa-1308	52	26	data	datum	NOUN
ijassa-1308	52	27	—	—	PUNCT
ijassa-1308	52	28	precise	precise	ADJ
ijassa-1308	52	29	segmentation	segmentation	NOUN
ijassa-1308	52	30	results	result	NOUN
ijassa-1308	52	31	for	for	ADP
ijassa-1308	52	32	different	different	ADJ
ijassa-1308	52	33	samples	sample	NOUN
ijassa-1308	52	34	.	.	PUNCT
ijassa-1308	53	1	artificial	artificial	ADJ
ijassa-1308	53	2	(	(	PUNCT
ijassa-1308	53	3	synthetic	synthetic	NOUN
ijassa-1308	53	4	)	)	PUNCT
ijassa-1308	53	5	xct	xct	PROPN
ijassa-1308	53	6	images	image	NOUN
ijassa-1308	53	7	produced	produce	VERB
ijassa-1308	53	8	by	by	ADP
ijassa-1308	53	9	rescaling	rescaling	NOUN
ijassa-1308	53	10	,	,	PUNCT
ijassa-1308	53	11	noise	noise	NOUN
ijassa-1308	53	12	and	and	CCONJ
ijassa-1308	53	13	artifact	artifact	NOUN
ijassa-1308	53	14	addition	addition	NOUN
ijassa-1308	53	15	(	(	PUNCT
ijassa-1308	53	16	e.g.	e.g.	ADV
ijassa-1308	53	17	,	,	PUNCT
ijassa-1308	53	18	wang	wang	PROPN
ijassa-1308	53	19	et	et	PROPN
ijassa-1308	53	20	al	al	PROPN
ijassa-1308	53	21	.	.	PUNCT
ijassa-1308	54	1	[	[	X
ijassa-1308	54	2	67	67	NUM
ijassa-1308	54	3	]	]	PUNCT
ijassa-1308	54	4	or	or	CCONJ
ijassa-1308	54	5	schlüter	schlüter	NOUN
ijassa-1308	54	6	et	et	PROPN
ijassa-1308	54	7	al	al	PROPN
ijassa-1308	54	8	.	.	PUNCT
ijassa-1308	55	1	[	[	X
ijassa-1308	55	2	59	59	NUM
ijassa-1308	55	3	]	]	PUNCT
ijassa-1308	55	4	)	)	PUNCT
ijassa-1308	55	5	do	do	AUX
ijassa-1308	55	6	not	not	PART
ijassa-1308	55	7	possess	possess	VERB
ijassa-1308	55	8	all	all	DET
ijassa-1308	55	9	necessary	necessary	ADJ
ijassa-1308	55	10	complexity	complexity	NOUN
ijassa-1308	55	11	and	and	CCONJ
ijassa-1308	55	12	represent	represent	VERB
ijassa-1308	55	13	real	real	ADJ
ijassa-1308	55	14	xct	xct	NOUN
ijassa-1308	55	15	only	only	ADV
ijassa-1308	55	16	to	to	ADP
ijassa-1308	55	17	some	some	DET
ijassa-1308	55	18	extent	extent	NOUN
ijassa-1308	55	19	.	.	PUNCT
ijassa-1308	56	1	at	at	ADP
ijassa-1308	56	2	this	this	DET
ijassa-1308	56	3	point	point	NOUN
ijassa-1308	56	4	we	we	PRON
ijassa-1308	56	5	can	can	AUX
ijassa-1308	56	6	pose	pose	VERB
ijassa-1308	56	7	a	a	DET
ijassa-1308	56	8	relevant	relevant	ADJ
ijassa-1308	56	9	question	question	NOUN
ijassa-1308	56	10	—	—	PUNCT
ijassa-1308	56	11	what	what	PRON
ijassa-1308	56	12	the	the	DET
ijassa-1308	56	13	ideal	ideal	ADJ
ijassa-1308	56	14	segmentation	segmentation	NOUN
ijassa-1308	56	15	methodology	methodology	NOUN
ijassa-1308	56	16	would	would	AUX
ijassa-1308	56	17	look	look	VERB
ijassa-1308	56	18	like	like	ADP
ijassa-1308	56	19	?	?	PUNCT
ijassa-1308	57	1	any	any	DET
ijassa-1308	57	2	expert	expert	NOUN
ijassa-1308	57	3	working	work	VERB
ijassa-1308	57	4	with	with	ADP
ijassa-1308	57	5	3d	3d	PROPN
ijassa-1308	57	6	xct	xct	PROPN
ijassa-1308	57	7	images	image	NOUN
ijassa-1308	57	8	or	or	CCONJ
ijassa-1308	57	9	porous	porous	ADJ
ijassa-1308	57	10	media	medium	NOUN
ijassa-1308	57	11	would	would	AUX
ijassa-1308	57	12	generally	generally	ADV
ijassa-1308	57	13	agree	agree	VERB
ijassa-1308	57	14	with	with	ADP
ijassa-1308	57	15	the	the	DET
ijassa-1308	57	16	following	follow	VERB
ijassa-1308	57	17	definition	definition	NOUN
ijassa-1308	57	18	:	:	PUNCT
ijassa-1308	57	19	with	with	ADP
ijassa-1308	57	20	the	the	DET
ijassa-1308	57	21	help	help	NOUN
ijassa-1308	57	22	of	of	ADP
ijassa-1308	57	23	the	the	DET
ijassa-1308	57	24	ideal	ideal	ADJ
ijassa-1308	57	25	segmentation	segmentation	NOUN
ijassa-1308	57	26	technique	technique	NOUN
ijassa-1308	57	27	one	one	PRON
ijassa-1308	57	28	should	should	AUX
ijassa-1308	57	29	be	be	AUX
ijassa-1308	57	30	able	able	ADJ
ijassa-1308	57	31	to	to	PART
ijassa-1308	57	32	take	take	VERB
ijassa-1308	57	33	any	any	DET
ijassa-1308	57	34	xct	xct	NOUN
ijassa-1308	57	35	image	image	NOUN
ijassa-1308	57	36	and	and	CCONJ
ijassa-1308	57	37	obtain	obtain	VERB
ijassa-1308	57	38	accurate	accurate	ADJ
ijassa-1308	57	39	segmentation	segmentation	NOUN
ijassa-1308	57	40	by	by	ADP
ijassa-1308	57	41	using	use	VERB
ijassa-1308	57	42	only	only	ADV
ijassa-1308	57	43	a	a	DET
ijassa-1308	57	44	stack	stack	NOUN
ijassa-1308	57	45	of	of	ADP
ijassa-1308	57	46	images	image	NOUN
ijassa-1308	57	47	as	as	ADP
ijassa-1308	57	48	input	input	NOUN
ijassa-1308	57	49	data	datum	NOUN
ijassa-1308	57	50	,	,	PUNCT
ijassa-1308	57	51	i.e.	i.e.	X
ijassa-1308	57	52	,	,	PUNCT
ijassa-1308	57	53	without	without	ADP
ijassa-1308	57	54	any	any	DET
ijassa-1308	57	55	operator	operator	NOUN
ijassa-1308	57	56	input	input	NOUN
ijassa-1308	57	57	or	or	CCONJ
ijassa-1308	57	58	(	(	PUNCT
ijassa-1308	57	59	fitting	fitting	ADJ
ijassa-1308	57	60	)	)	PUNCT
ijassa-1308	57	61	parameters	parameter	NOUN
ijassa-1308	57	62	.	.	PUNCT
ijassa-1308	58	1	from	from	ADP
ijassa-1308	58	2	our	our	PRON
ijassa-1308	58	3	above	above	ADV
ijassa-1308	58	4	-	-	PUNCT
ijassa-1308	58	5	mentioned	mention	VERB
ijassa-1308	58	6	analysis	analysis	NOUN
ijassa-1308	58	7	of	of	ADP
ijassa-1308	58	8	current	current	ADJ
ijassa-1308	58	9	segmentation	segmentation	NOUN
ijassa-1308	58	10	technology	technology	NOUN
ijassa-1308	58	11	,	,	PUNCT
ijassa-1308	58	12	we	we	PRON
ijassa-1308	58	13	can	can	AUX
ijassa-1308	58	14	confidently	confidently	ADV
ijassa-1308	58	15	conclude	conclude	VERB
ijassa-1308	58	16	that	that	SCONJ
ijassa-1308	58	17	none	none	NOUN
ijassa-1308	58	18	of	of	ADP
ijassa-1308	58	19	existing	exist	VERB
ijassa-1308	58	20	methods	method	NOUN
ijassa-1308	58	21	provide	provide	VERB
ijassa-1308	58	22	a	a	DET
ijassa-1308	58	23	solid	solid	ADJ
ijassa-1308	58	24	performance	performance	NOUN
ijassa-1308	58	25	according	accord	VERB
ijassa-1308	58	26	to	to	ADP
ijassa-1308	58	27	that	that	DET
ijassa-1308	58	28	definition	definition	NOUN
ijassa-1308	58	29	.	.	PUNCT
ijassa-1308	59	1	supervised	supervised	ADJ
ijassa-1308	59	2	machine	machine	NOUN
ijassa-1308	59	3	learning	learning	NOUN
ijassa-1308	59	4	algorithms	algorithm	NOUN
ijassa-1308	59	5	seem	seem	VERB
ijassa-1308	59	6	to	to	PART
ijassa-1308	59	7	provide	provide	VERB
ijassa-1308	59	8	a	a	DET
ijassa-1308	59	9	basis	basis	NOUN
ijassa-1308	59	10	for	for	ADP
ijassa-1308	59	11	an	an	DET
ijassa-1308	59	12	ideal	ideal	ADJ
ijassa-1308	59	13	technique	technique	NOUN
ijassa-1308	59	14	,	,	PUNCT
ijassa-1308	59	15	but	but	CCONJ
ijassa-1308	59	16	require	require	VERB
ijassa-1308	59	17	ground	ground	NOUN
ijassa-1308	59	18	-	-	PUNCT
ijassa-1308	59	19	truth	truth	NOUN
ijassa-1308	59	20	(	(	PUNCT
ijassa-1308	59	21	precise	precise	ADJ
ijassa-1308	59	22	segmentation	segmentation	NOUN
ijassa-1308	59	23	results	result	NOUN
ijassa-1308	59	24	)	)	PUNCT
ijassa-1308	59	25	data	datum	NOUN
ijassa-1308	59	26	to	to	PART
ijassa-1308	59	27	train	train	VERB
ijassa-1308	59	28	neural	neural	ADJ
ijassa-1308	59	29	networks	network	NOUN
ijassa-1308	59	30	.	.	PUNCT
ijassa-1308	60	1	we	we	PRON
ijassa-1308	60	2	believe	believe	VERB
ijassa-1308	60	3	that	that	SCONJ
ijassa-1308	60	4	the	the	DET
ijassa-1308	60	5	holy	holy	ADJ
ijassa-1308	60	6	grail	grail	NOUN
ijassa-1308	60	7	of	of	ADP
ijassa-1308	60	8	the	the	DET
ijassa-1308	60	9	ideal	ideal	ADJ
ijassa-1308	60	10	training	training	NOUN
ijassa-1308	60	11	data	datum	NOUN
ijassa-1308	60	12	lies	lie	VERB
ijassa-1308	60	13	with	with	ADP
ijassa-1308	60	14	synthetic	synthetic	ADJ
ijassa-1308	60	15	xct	xct	PROPN
ijassa-1308	60	16	datasets	dataset	NOUN
ijassa-1308	60	17	.	.	PUNCT
ijassa-1308	61	1	such	such	ADJ
ijassa-1308	61	2	datasets	dataset	NOUN
ijassa-1308	61	3	can	can	AUX
ijassa-1308	61	4	be	be	AUX
ijassa-1308	61	5	created	create	VERB
ijassa-1308	61	6	from	from	ADP
ijassa-1308	61	7	any	any	DET
ijassa-1308	61	8	structure	structure	NOUN
ijassa-1308	61	9	consisting	consist	VERB
ijassa-1308	61	10	of	of	ADP
ijassa-1308	61	11	any	any	DET
ijassa-1308	61	12	number	number	NOUN
ijassa-1308	61	13	of	of	ADP
ijassa-1308	61	14	materials	material	NOUN
ijassa-1308	61	15	or	or	CCONJ
ijassa-1308	61	16	phases	phase	NOUN
ijassa-1308	61	17	[	[	X
ijassa-1308	61	18	8	8	NUM
ijassa-1308	61	19	,	,	PUNCT
ijassa-1308	61	20	14	14	NUM
ijassa-1308	61	21	,	,	PUNCT
ijassa-1308	61	22	69	69	NUM
ijassa-1308	61	23	]	]	PUNCT
ijassa-1308	61	24	.	.	PUNCT
ijassa-1308	62	1	now	now	ADV
ijassa-1308	62	2	,	,	PUNCT
ijassa-1308	62	3	we	we	PRON
ijassa-1308	62	4	come	come	VERB
ijassa-1308	62	5	to	to	ADP
ijassa-1308	62	6	the	the	DET
ijassa-1308	62	7	problem	problem	NOUN
ijassa-1308	62	8	of	of	ADP
ijassa-1308	62	9	obtaining	obtain	VERB
ijassa-1308	62	10	these	these	DET
ijassa-1308	62	11	original	original	ADJ
ijassa-1308	62	12	true	true	ADJ
ijassa-1308	62	13	structures	structure	NOUN
ijassa-1308	62	14	or	or	CCONJ
ijassa-1308	62	15	spatial	spatial	ADJ
ijassa-1308	62	16	phase	phase	NOUN
ijassa-1308	62	17	distributions	distribution	NOUN
ijassa-1308	62	18	,	,	PUNCT
ijassa-1308	62	19	especially	especially	ADV
ijassa-1308	62	20	considering	consider	VERB
ijassa-1308	62	21	that	that	SCONJ
ijassa-1308	62	22	real	real	ADJ
ijassa-1308	62	23	porous	porous	ADJ
ijassa-1308	62	24	media	medium	NOUN
ijassa-1308	62	25	are	be	AUX
ijassa-1308	62	26	infinite	infinite	ADJ
ijassa-1308	62	27	resolution	resolution	NOUN
ijassa-1308	62	28	structures	structure	NOUN
ijassa-1308	62	29	,	,	PUNCT
ijassa-1308	62	30	at	at	ADP
ijassa-1308	62	31	least	least	ADJ
ijassa-1308	62	32	up	up	ADP
ijassa-1308	62	33	to	to	ADP
ijassa-1308	62	34	molecular	molecular	ADJ
ijassa-1308	62	35	scale	scale	NOUN
ijassa-1308	62	36	.	.	PUNCT
ijassa-1308	63	1	we	we	PRON
ijassa-1308	63	2	argue	argue	VERB
ijassa-1308	63	3	that	that	SCONJ
ijassa-1308	63	4	the	the	DET
ijassa-1308	63	5	original	original	NOUN
ijassa-1308	63	6	should	should	AUX
ijassa-1308	63	7	be	be	AUX
ijassa-1308	63	8	no	no	ADV
ijassa-1308	63	9	more	more	ADJ
ijassa-1308	63	10	than	than	ADP
ijassa-1308	63	11	an	an	DET
ijassa-1308	63	12	order	order	NOUN
ijassa-1308	63	13	of	of	ADP
ijassa-1308	63	14	magnitude	magnitude	NOUN
ijassa-1308	63	15	finer	fine	ADJ
ijassa-1308	63	16	(	(	PUNCT
ijassa-1308	63	17	better	well	ADJ
ijassa-1308	63	18	resolution	resolution	NOUN
ijassa-1308	63	19	)	)	PUNCT
ijassa-1308	63	20	than	than	ADP
ijassa-1308	63	21	the	the	DET
ijassa-1308	63	22	optimal	optimal	ADJ
ijassa-1308	63	23	resolution	resolution	NOUN
ijassa-1308	63	24	for	for	ADP
ijassa-1308	63	25	the	the	DET
ijassa-1308	63	26	images	image	NOUN
ijassa-1308	63	27	we	we	PRON
ijassa-1308	63	28	shall	shall	AUX
ijassa-1308	63	29	segment	segment	VERB
ijassa-1308	63	30	.	.	PUNCT
ijassa-1308	64	1	for	for	ADP
ijassa-1308	64	2	example	example	NOUN
ijassa-1308	64	3	,	,	PUNCT
ijassa-1308	64	4	typical	typical	ADJ
ijassa-1308	64	5	xct	xct	PROPN
ijassa-1308	64	6	images	image	NOUN
ijassa-1308	64	7	for	for	ADP
ijassa-1308	64	8	sandstones	sandstone	NOUN
ijassa-1308	64	9	has	have	VERB
ijassa-1308	64	10	resolution	resolution	NOUN
ijassa-1308	64	11	of	of	ADP
ijassa-1308	64	12	2.5	2.5	NUM
ijassa-1308	64	13	-	-	SYM
ijassa-1308	64	14	5	5	NUM
ijassa-1308	64	15	µm	µm	NOUN
ijassa-1308	64	16	and	and	CCONJ
ijassa-1308	64	17	in	in	ADP
ijassa-1308	64	18	some	some	DET
ijassa-1308	64	19	instances	instance	NOUN
ijassa-1308	64	20	it	it	PRON
ijassa-1308	64	21	is	be	AUX
ijassa-1308	64	22	enough	enough	ADJ
ijassa-1308	64	23	to	to	PART
ijassa-1308	64	24	see	see	VERB
ijassa-1308	64	25	all	all	DET
ijassa-1308	64	26	details	detail	NOUN
ijassa-1308	64	27	relevant	relevant	ADJ
ijassa-1308	64	28	for	for	ADP
ijassa-1308	64	29	structure	structure	NOUN
ijassa-1308	64	30	characterization	characterization	NOUN
ijassa-1308	64	31	and	and	CCONJ
ijassa-1308	64	32	porescale	porescale	NOUN
ijassa-1308	64	33	modelling	modelling	NOUN
ijassa-1308	64	34	.	.	PUNCT
ijassa-1308	65	1	for	for	ADP
ijassa-1308	65	2	carbonates	carbonate	NOUN
ijassa-1308	65	3	and	and	CCONJ
ijassa-1308	65	4	soils	soil	NOUN
ijassa-1308	65	5	this	this	PRON
ijassa-1308	65	6	may	may	AUX
ijassa-1308	65	7	be	be	AUX
ijassa-1308	65	8	different	different	ADJ
ijassa-1308	65	9	due	due	ADP
ijassa-1308	65	10	to	to	ADP
ijassa-1308	65	11	a	a	DET
ijassa-1308	65	12	wide	wide	ADJ
ijassa-1308	65	13	range	range	NOUN
ijassa-1308	65	14	of	of	ADP
ijassa-1308	65	15	pore	pore	ADJ
ijassa-1308	65	16	sizes	size	NOUN
ijassa-1308	65	17	,	,	PUNCT
ijassa-1308	65	18	some	some	PRON
ijassa-1308	65	19	of	of	ADP
ijassa-1308	65	20	them	they	PRON
ijassa-1308	65	21	well	well	ADV
ijassa-1308	65	22	below	below	ADP
ijassa-1308	65	23	1	1	NUM
ijassa-1308	65	24	µm	µm	ADP
ijassa-1308	65	25	which	which	PRON
ijassa-1308	65	26	is	be	AUX
ijassa-1308	65	27	an	an	DET
ijassa-1308	65	28	approximate	approximate	ADJ
ijassa-1308	65	29	limit	limit	NOUN
ijassa-1308	65	30	for	for	ADP
ijassa-1308	65	31	resolution	resolution	NOUN
ijassa-1308	65	32	with	with	ADP
ijassa-1308	65	33	current	current	ADJ
ijassa-1308	65	34	desktop	desktop	NOUN
ijassa-1308	65	35	scanners	scanner	NOUN
ijassa-1308	65	36	such	such	ADJ
ijassa-1308	65	37	as	as	ADP
ijassa-1308	65	38	bruker	bruker	NOUN
ijassa-1308	65	39	-	-	PUNCT
ijassa-1308	65	40	skyscan-1172	skyscan-1172	ADJ
ijassa-1308	65	41	.	.	PUNCT
ijassa-1308	66	1	in	in	ADP
ijassa-1308	66	2	short	short	ADJ
ijassa-1308	66	3	,	,	PUNCT
ijassa-1308	66	4	if	if	SCONJ
ijassa-1308	66	5	the	the	DET
ijassa-1308	66	6	images	image	NOUN
ijassa-1308	66	7	we	we	PRON
ijassa-1308	66	8	want	want	VERB
ijassa-1308	66	9	to	to	PART
ijassa-1308	66	10	segment	segment	NOUN
ijassa-1308	66	11	will	will	AUX
ijassa-1308	66	12	have	have	VERB
ijassa-1308	66	13	the	the	DET
ijassa-1308	66	14	resolution	resolution	NOUN
ijassa-1308	66	15	up	up	ADP
ijassa-1308	66	16	to	to	PART
ijassa-1308	66	17	1	1	NUM
ijassa-1308	66	18	µm	µm	NOUN
ijassa-1308	66	19	,	,	PUNCT
ijassa-1308	66	20	the	the	DET
ijassa-1308	66	21	true	true	ADJ
ijassa-1308	66	22	phase	phase	NOUN
ijassa-1308	66	23	distributions	distribution	NOUN
ijassa-1308	66	24	of	of	ADP
ijassa-1308	66	25	100	100	NUM
ijassa-1308	66	26	nm	nm	NOUN
ijassa-1308	66	27	will	will	AUX
ijassa-1308	66	28	suffice	suffice	VERB
ijassa-1308	66	29	to	to	PART
ijassa-1308	66	30	create	create	VERB
ijassa-1308	66	31	accurate	accurate	ADJ
ijassa-1308	66	32	projections	projection	NOUN
ijassa-1308	66	33	assuming	assume	VERB
ijassa-1308	66	34	the	the	DET
ijassa-1308	66	35	receiver	receiver	ADJ
ijassa-1308	66	36	matrix	matrix	NOUN
ijassa-1308	66	37	(	(	PUNCT
ijassa-1308	66	38	ccd	ccd	NOUN
ijassa-1308	66	39	camera	camera	NOUN
ijassa-1308	66	40	in	in	ADP
ijassa-1308	66	41	real	real	ADJ
ijassa-1308	66	42	scanners	scanner	NOUN
ijassa-1308	66	43	)	)	PUNCT
ijassa-1308	66	44	to	to	PART
ijassa-1308	66	45	end	end	VERB
ijassa-1308	66	46	up	up	ADP
ijassa-1308	66	47	with	with	ADP
ijassa-1308	66	48	1	1	NUM
ijassa-1308	66	49	µm	µm	ADP
ijassa-1308	66	50	pixel	pixel	PROPN
ijassa-1308	66	51	size	size	NOUN
ijassa-1308	66	52	.	.	PUNCT
ijassa-1308	67	1	such	such	ADJ
ijassa-1308	67	2	”	"	PUNCT
ijassa-1308	67	3	magnified	magnify	VERB
ijassa-1308	67	4	”	"	PUNCT
ijassa-1308	67	5	images	image	NOUN
ijassa-1308	67	6	can	can	AUX
ijassa-1308	67	7	be	be	AUX
ijassa-1308	67	8	obtained	obtain	VERB
ijassa-1308	67	9	easily	easily	ADV
ijassa-1308	67	10	using	use	VERB
ijassa-1308	67	11	a	a	DET
ijassa-1308	67	12	number	number	NOUN
ijassa-1308	67	13	of	of	ADP
ijassa-1308	67	14	techniques	technique	NOUN
ijassa-1308	67	15	:	:	PUNCT
ijassa-1308	67	16	discretization	discretization	NOUN
ijassa-1308	67	17	of	of	ADP
ijassa-1308	67	18	a	a	DET
ijassa-1308	67	19	predefined	predefine	VERB
ijassa-1308	67	20	grain	grain	NOUN
ijassa-1308	67	21	packings	packing	NOUN
ijassa-1308	67	22	for	for	ADP
ijassa-1308	67	23	sandstones	sandstone	NOUN
ijassa-1308	67	24	(	(	PUNCT
ijassa-1308	67	25	e.g.	e.g.	ADV
ijassa-1308	67	26	,	,	PUNCT
ijassa-1308	67	27	[	[	X
ijassa-1308	67	28	45	45	NUM
ijassa-1308	67	29	]	]	NUM
ijassa-1308	67	30	)	)	PUNCT
ijassa-1308	67	31	,	,	PUNCT
ijassa-1308	67	32	stochastic	stochastic	ADJ
ijassa-1308	67	33	constructions	construction	NOUN
ijassa-1308	67	34	of	of	ADP
ijassa-1308	67	35	a	a	DET
ijassa-1308	67	36	synthetic	synthetic	ADJ
ijassa-1308	67	37	porous	porous	ADJ
ijassa-1308	67	38	media	medium	NOUN
ijassa-1308	68	1	[	[	X
ijassa-1308	68	2	36,41	36,41	NUM
ijassa-1308	68	3	]	]	SYM
ijassa-1308	68	4	,	,	PUNCT
ijassa-1308	68	5	multiscale	multiscale	ADJ
ijassa-1308	68	6	stochastic	stochastic	ADJ
ijassa-1308	68	7	reconstruction	reconstruction	NOUN
ijassa-1308	68	8	/	/	SYM
ijassa-1308	68	9	image	image	NOUN
ijassa-1308	68	10	fusion	fusion	NOUN
ijassa-1308	69	1	[	[	X
ijassa-1308	69	2	24	24	NUM
ijassa-1308	69	3	,	,	PUNCT
ijassa-1308	69	4	62	62	NUM
ijassa-1308	69	5	]	]	PUNCT
ijassa-1308	69	6	,	,	PUNCT
ijassa-1308	69	7	or	or	CCONJ
ijassa-1308	69	8	super	super	ADJ
ijassa-1308	69	9	-	-	ADJ
ijassa-1308	69	10	resolution	resolution	ADJ
ijassa-1308	69	11	stochastic	stochastic	ADJ
ijassa-1308	69	12	technique	technique	NOUN
ijassa-1308	69	13	[	[	X
ijassa-1308	69	14	49	49	NUM
ijassa-1308	69	15	]	]	PUNCT
ijassa-1308	69	16	.	.	PUNCT
ijassa-1308	70	1	the	the	DET
ijassa-1308	70	2	proxies	proxy	NOUN
ijassa-1308	70	3	for	for	ADP
ijassa-1308	70	4	magnification	magnification	NOUN
ijassa-1308	70	5	can	can	AUX
ijassa-1308	70	6	be	be	AUX
ijassa-1308	70	7	obtained	obtain	VERB
ijassa-1308	70	8	from	from	ADP
ijassa-1308	70	9	real	real	ADJ
ijassa-1308	70	10	porous	porous	ADJ
ijassa-1308	70	11	media	medium	NOUN
ijassa-1308	70	12	images	image	NOUN
ijassa-1308	70	13	by	by	ADP
ijassa-1308	70	14	segmenting	segment	VERB
ijassa-1308	70	15	them	they	PRON
ijassa-1308	70	16	using	use	VERB
ijassa-1308	70	17	current	current	ADJ
ijassa-1308	70	18	state	state	NOUN
ijassa-1308	70	19	-	-	PUNCT
ijassa-1308	70	20	ofthe	ofthe	NOUN
ijassa-1308	70	21	-	-	PUNCT
ijassa-1308	70	22	art	art	NOUN
ijassa-1308	70	23	techniques	technique	NOUN
ijassa-1308	70	24	(	(	PUNCT
ijassa-1308	70	25	online	online	ADJ
ijassa-1308	70	26	reference	reference	NOUN
ijassa-1308	70	27	)	)	PUNCT
ijassa-1308	70	28	enhanced	enhance	VERB
ijassa-1308	70	29	by	by	ADP
ijassa-1308	70	30	mineralogical	mineralogical	ADJ
ijassa-1308	70	31	composition	composition	NOUN
ijassa-1308	70	32	overlay	overlay	NOUN
ijassa-1308	70	33	from	from	ADP
ijassa-1308	70	34	2d	2d	NUM
ijassa-1308	70	35	analysis	analysis	NOUN
ijassa-1308	70	36	[	[	X
ijassa-1308	70	37	13	13	NUM
ijassa-1308	70	38	,	,	PUNCT
ijassa-1308	70	39	32	32	NUM
ijassa-1308	70	40	]	]	PUNCT
ijassa-1308	70	41	.	.	PUNCT
ijassa-1308	71	1	in	in	ADP
ijassa-1308	71	2	the	the	DET
ijassa-1308	71	3	above	above	ADJ
ijassa-1308	71	4	analysis	analysis	NOUN
ijassa-1308	71	5	we	we	PRON
ijassa-1308	71	6	arrive	arrive	VERB
ijassa-1308	71	7	to	to	ADP
ijassa-1308	71	8	a	a	DET
ijassa-1308	71	9	universal	universal	ADJ
ijassa-1308	71	10	framework	framework	NOUN
ijassa-1308	71	11	to	to	PART
ijassa-1308	71	12	create	create	VERB
ijassa-1308	71	13	an	an	DET
ijassa-1308	71	14	ideal	ideal	ADJ
ijassa-1308	71	15	segmentation	segmentation	NOUN
ijassa-1308	71	16	technology	technology	NOUN
ijassa-1308	71	17	based	base	VERB
ijassa-1308	71	18	on	on	ADP
ijassa-1308	71	19	convolutional	convolutional	ADJ
ijassa-1308	71	20	neural	neural	ADJ
ijassa-1308	71	21	networks	network	NOUN
ijassa-1308	71	22	(	(	PUNCT
ijassa-1308	71	23	cnn	cnn	PROPN
ijassa-1308	71	24	)	)	PUNCT
ijassa-1308	71	25	or	or	CCONJ
ijassa-1308	71	26	possibly	possibly	ADV
ijassa-1308	71	27	other	other	ADJ
ijassa-1308	71	28	(	(	PUNCT
ijassa-1308	71	29	better	well	ADV
ijassa-1308	71	30	/	/	SYM
ijassa-1308	71	31	emerging	emerge	VERB
ijassa-1308	71	32	)	)	PUNCT
ijassa-1308	71	33	type	type	NOUN
ijassa-1308	71	34	of	of	ADP
ijassa-1308	71	35	machine	machine	NOUN
ijassa-1308	71	36	learning	learn	VERB
ijassa-1308	71	37	methodology	methodology	NOUN
ijassa-1308	71	38	.	.	PUNCT
ijassa-1308	72	1	the	the	DET
ijassa-1308	72	2	general	general	ADJ
ijassa-1308	72	3	scheme	scheme	NOUN
ijassa-1308	72	4	of	of	ADP
ijassa-1308	72	5	this	this	DET
ijassa-1308	72	6	framework	framework	NOUN
ijassa-1308	72	7	is	be	AUX
ijassa-1308	72	8	shown	show	VERB
ijassa-1308	72	9	in	in	ADP
ijassa-1308	72	10	fig	fig	NOUN
ijassa-1308	72	11	.	.	PUNCT
ijassa-1308	73	1	1.1	1.1	NUM
ijassa-1308	73	2	.	.	PUNCT
ijassa-1308	74	1	but	but	CCONJ
ijassa-1308	74	2	in	in	ADP
ijassa-1308	74	3	this	this	DET
ijassa-1308	74	4	case	case	NOUN
ijassa-1308	74	5	,	,	PUNCT
ijassa-1308	74	6	some	some	DET
ijassa-1308	74	7	data	datum	NOUN
ijassa-1308	74	8	on	on	ADP
ijassa-1308	74	9	the	the	DET
ijassa-1308	74	10	spatial	spatial	ADJ
ijassa-1308	74	11	materials	material	NOUN
ijassa-1308	74	12	’	'	PUNCT
ijassa-1308	74	13	distribution	distribution	NOUN
ijassa-1308	74	14	in	in	ADP
ijassa-1308	74	15	the	the	DET
ijassa-1308	74	16	porous	porous	ADJ
ijassa-1308	74	17	media	medium	NOUN
ijassa-1308	74	18	is	be	AUX
ijassa-1308	74	19	required	require	VERB
ijassa-1308	74	20	.	.	PUNCT
ijassa-1308	75	1	then	then	ADV
ijassa-1308	75	2	the	the	DET
ijassa-1308	75	3	question	question	NOUN
ijassa-1308	75	4	arises	arise	VERB
ijassa-1308	75	5	about	about	ADP
ijassa-1308	75	6	the	the	DET
ijassa-1308	75	7	size	size	NOUN
ijassa-1308	75	8	and	and	CCONJ
ijassa-1308	75	9	diversity	diversity	NOUN
ijassa-1308	75	10	of	of	ADP
ijassa-1308	75	11	the	the	DET
ijassa-1308	75	12	sample	sample	NOUN
ijassa-1308	75	13	that	that	PRON
ijassa-1308	75	14	will	will	AUX
ijassa-1308	75	15	be	be	AUX
ijassa-1308	75	16	copyright	copyright	NOUN
ijassa-1308	75	17	©	©	ADP
ijassa-1308	75	18	2022	2022	NUM
ijassa-1308	75	19	assa	assa	NOUN
ijassa-1308	75	20	.	.	PUNCT
ijassa-1308	76	1	adv	adv	PROPN
ijassa-1308	76	2	syst	syst	PROPN
ijassa-1308	76	3	sci	sci	PROPN
ijassa-1308	76	4	appl	appl	PROPN
ijassa-1308	76	5	(	(	PUNCT
ijassa-1308	76	6	2022	2022	NUM
ijassa-1308	76	7	)	)	PUNCT
ijassa-1308	76	8	34	34	NUM
ijassa-1308	76	9	efim	efim	NOUN
ijassa-1308	76	10	v.	v.	ADP
ijassa-1308	76	11	lavrukhin	lavrukhin	PROPN
ijassa-1308	76	12	,	,	PUNCT
ijassa-1308	76	13	vasily	vasily	NOUN
ijassa-1308	76	14	postnicov	postnicov	NOUN
ijassa-1308	76	15	,	,	PUNCT
ijassa-1308	76	16	kirill	kirill	PROPN
ijassa-1308	76	17	m.	m.	PROPN
ijassa-1308	76	18	gerke	gerke	PROPN
ijassa-1308	76	19	fig	fig	PROPN
ijassa-1308	76	20	.	.	PUNCT
ijassa-1308	77	1	1.1	1.1	NUM
ijassa-1308	77	2	.	.	PUNCT
ijassa-1308	78	1	universal	universal	ADJ
ijassa-1308	78	2	workflow	workflow	NOUN
ijassa-1308	78	3	to	to	PART
ijassa-1308	78	4	train	train	VERB
ijassa-1308	78	5	machine	machine	NOUN
ijassa-1308	78	6	learning	learning	NOUN
ijassa-1308	78	7	based	base	VERB
ijassa-1308	78	8	segmentation	segmentation	NOUN
ijassa-1308	78	9	models	model	NOUN
ijassa-1308	78	10	.	.	PUNCT
ijassa-1308	79	1	used	use	VERB
ijassa-1308	79	2	in	in	ADP
ijassa-1308	79	3	training	training	NOUN
ijassa-1308	79	4	:	:	PUNCT
ijassa-1308	79	5	is	be	AUX
ijassa-1308	79	6	it	it	PRON
ijassa-1308	79	7	necessary	necessary	ADJ
ijassa-1308	79	8	to	to	PART
ijassa-1308	79	9	use	use	VERB
ijassa-1308	79	10	patterns	pattern	NOUN
ijassa-1308	79	11	of	of	ADP
ijassa-1308	79	12	spatial	spatial	ADJ
ijassa-1308	79	13	distribution	distribution	NOUN
ijassa-1308	79	14	from	from	ADP
ijassa-1308	79	15	different	different	ADJ
ijassa-1308	79	16	types	type	NOUN
ijassa-1308	79	17	of	of	ADP
ijassa-1308	79	18	porous	porous	ADJ
ijassa-1308	79	19	media	medium	NOUN
ijassa-1308	79	20	,	,	PUNCT
ijassa-1308	79	21	or	or	CCONJ
ijassa-1308	79	22	how	how	SCONJ
ijassa-1308	79	23	accurately	accurately	ADV
ijassa-1308	79	24	is	be	AUX
ijassa-1308	79	25	it	it	PRON
ijassa-1308	79	26	necessary	necessary	ADJ
ijassa-1308	79	27	to	to	PART
ijassa-1308	79	28	reproduce	reproduce	VERB
ijassa-1308	79	29	the	the	DET
ijassa-1308	79	30	original	original	ADJ
ijassa-1308	79	31	(	(	PUNCT
ijassa-1308	79	32	and	and	CCONJ
ijassa-1308	79	33	unknown	unknown	ADJ
ijassa-1308	79	34	)	)	PUNCT
ijassa-1308	79	35	morphological	morphological	ADJ
ijassa-1308	79	36	structure	structure	NOUN
ijassa-1308	79	37	?	?	PUNCT
ijassa-1308	80	1	the	the	DET
ijassa-1308	80	2	objective	objective	NOUN
ijassa-1308	80	3	of	of	ADP
ijassa-1308	80	4	this	this	DET
ijassa-1308	80	5	paper	paper	NOUN
ijassa-1308	80	6	is	be	AUX
ijassa-1308	80	7	to	to	PART
ijassa-1308	80	8	understand	understand	VERB
ijassa-1308	80	9	how	how	SCONJ
ijassa-1308	80	10	accurate	accurate	ADJ
ijassa-1308	80	11	the	the	DET
ijassa-1308	80	12	morphological	morphological	ADJ
ijassa-1308	80	13	structure	structure	NOUN
ijassa-1308	80	14	of	of	ADP
ijassa-1308	80	15	the	the	DET
ijassa-1308	80	16	samples	sample	NOUN
ijassa-1308	80	17	used	use	VERB
ijassa-1308	80	18	to	to	PART
ijassa-1308	80	19	construct	construct	VERB
ijassa-1308	80	20	a	a	DET
ijassa-1308	80	21	synthetic	synthetic	NOUN
ijassa-1308	80	22	xct	xct	PROPN
ijassa-1308	80	23	should	should	AUX
ijassa-1308	80	24	be	be	AUX
ijassa-1308	80	25	–	–	PUNCT
ijassa-1308	80	26	or	or	CCONJ
ijassa-1308	80	27	in	in	ADP
ijassa-1308	80	28	other	other	ADJ
ijassa-1308	80	29	words	word	NOUN
ijassa-1308	80	30	,	,	PUNCT
ijassa-1308	80	31	how	how	SCONJ
ijassa-1308	80	32	similar	similar	ADJ
ijassa-1308	80	33	to	to	ADP
ijassa-1308	80	34	the	the	DET
ijassa-1308	80	35	images	image	NOUN
ijassa-1308	80	36	we	we	PRON
ijassa-1308	80	37	want	want	VERB
ijassa-1308	80	38	to	to	PART
ijassa-1308	80	39	segment	segment	VERB
ijassa-1308	80	40	.	.	PUNCT
ijassa-1308	81	1	we	we	PRON
ijassa-1308	81	2	also	also	ADV
ijassa-1308	81	3	want	want	VERB
ijassa-1308	81	4	to	to	PART
ijassa-1308	81	5	elucidate	elucidate	VERB
ijassa-1308	81	6	how	how	SCONJ
ijassa-1308	81	7	morphological	morphological	ADJ
ijassa-1308	81	8	structure	structure	NOUN
ijassa-1308	81	9	errors	error	NOUN
ijassa-1308	81	10	of	of	ADP
ijassa-1308	81	11	various	various	ADJ
ijassa-1308	81	12	sizes	size	NOUN
ijassa-1308	81	13	will	will	AUX
ijassa-1308	81	14	affect	affect	VERB
ijassa-1308	81	15	the	the	DET
ijassa-1308	81	16	quality	quality	NOUN
ijassa-1308	81	17	of	of	ADP
ijassa-1308	81	18	the	the	DET
ijassa-1308	81	19	trained	train	VERB
ijassa-1308	81	20	segmentation	segmentation	NOUN
ijassa-1308	81	21	model	model	NOUN
ijassa-1308	81	22	.	.	PUNCT
ijassa-1308	82	1	for	for	ADP
ijassa-1308	82	2	this	this	PRON
ijassa-1308	82	3	,	,	PUNCT
ijassa-1308	82	4	we	we	PRON
ijassa-1308	82	5	construct	construct	VERB
ijassa-1308	82	6	stochastic	stochastic	ADJ
ijassa-1308	82	7	samples	sample	NOUN
ijassa-1308	82	8	with	with	ADP
ijassa-1308	82	9	different	different	ADJ
ijassa-1308	82	10	levels	level	NOUN
ijassa-1308	82	11	of	of	ADP
ijassa-1308	82	12	likelihood	likelihood	NOUN
ijassa-1308	82	13	relative	relative	ADJ
ijassa-1308	82	14	to	to	ADP
ijassa-1308	82	15	the	the	DET
ijassa-1308	82	16	original	original	ADJ
ijassa-1308	82	17	structures	structure	NOUN
ijassa-1308	82	18	.	.	PUNCT
ijassa-1308	83	1	for	for	ADP
ijassa-1308	83	2	all	all	DET
ijassa-1308	83	3	these	these	DET
ijassa-1308	83	4	samples	sample	NOUN
ijassa-1308	83	5	we	we	PRON
ijassa-1308	83	6	create	create	VERB
ijassa-1308	83	7	synthetic	synthetic	ADJ
ijassa-1308	83	8	xct	xct	PROPN
ijassa-1308	83	9	images	image	NOUN
ijassa-1308	83	10	and	and	CCONJ
ijassa-1308	83	11	train	train	NOUN
ijassa-1308	83	12	segmentation	segmentation	NOUN
ijassa-1308	83	13	cnn	cnn	PROPN
ijassa-1308	83	14	model	model	NOUN
ijassa-1308	83	15	on	on	ADP
ijassa-1308	83	16	original	original	ADJ
ijassa-1308	83	17	sample	sample	NOUN
ijassa-1308	83	18	-	-	PUNCT
ijassa-1308	83	19	synthetic	synthetic	ADJ
ijassa-1308	83	20	xct	xct	PROPN
ijassa-1308	83	21	pairs	pair	NOUN
ijassa-1308	83	22	.	.	PUNCT
ijassa-1308	84	1	the	the	DET
ijassa-1308	84	2	segmentation	segmentation	NOUN
ijassa-1308	84	3	quality	quality	NOUN
ijassa-1308	84	4	of	of	ADP
ijassa-1308	84	5	these	these	DET
ijassa-1308	84	6	samples	sample	NOUN
ijassa-1308	84	7	analyzed	analyze	VERB
ijassa-1308	84	8	depending	depend	VERB
ijassa-1308	84	9	on	on	ADP
ijassa-1308	84	10	their	their	PRON
ijassa-1308	84	11	likelihood	likelihood	NOUN
ijassa-1308	84	12	,	,	PUNCT
ijassa-1308	84	13	as	as	ADV
ijassa-1308	84	14	well	well	ADV
ijassa-1308	84	15	as	as	ADP
ijassa-1308	84	16	on	on	ADP
ijassa-1308	84	17	the	the	DET
ijassa-1308	84	18	morphological	morphological	ADJ
ijassa-1308	84	19	properties	property	NOUN
ijassa-1308	84	20	of	of	ADP
ijassa-1308	84	21	the	the	DET
ijassa-1308	84	22	original	original	ADJ
ijassa-1308	84	23	structure	structure	NOUN
ijassa-1308	84	24	.	.	PUNCT
ijassa-1308	85	1	2	2	X
ijassa-1308	85	2	.	.	X
ijassa-1308	85	3	methodology	methodology	NOUN
ijassa-1308	85	4	2.1	2.1	NUM
ijassa-1308	85	5	.	.	PUNCT
ijassa-1308	86	1	convolutional	convolutional	ADJ
ijassa-1308	86	2	neural	neural	ADJ
ijassa-1308	86	3	networks	network	NOUN
ijassa-1308	86	4	(	(	PUNCT
ijassa-1308	86	5	cnns	cnns	PROPN
ijassa-1308	86	6	)	)	PUNCT
ijassa-1308	86	7	for	for	ADP
ijassa-1308	86	8	image	image	NOUN
ijassa-1308	86	9	segmentation	segmentation	NOUN
ijassa-1308	86	10	cnn	cnn	PROPN
ijassa-1308	86	11	for	for	ADP
ijassa-1308	86	12	segmentation	segmentation	NOUN
ijassa-1308	86	13	are	be	AUX
ijassa-1308	86	14	tuned	tune	VERB
ijassa-1308	86	15	to	to	PART
ijassa-1308	86	16	segment	segment	VERB
ijassa-1308	86	17	entire	entire	ADJ
ijassa-1308	86	18	input	input	NOUN
ijassa-1308	86	19	image	image	NOUN
ijassa-1308	86	20	into	into	ADP
ijassa-1308	86	21	sub	sub	NOUN
ijassa-1308	86	22	-	-	NOUN
ijassa-1308	86	23	regions	region	NOUN
ijassa-1308	86	24	of	of	ADP
ijassa-1308	86	25	particular	particular	ADJ
ijassa-1308	86	26	origin	origin	NOUN
ijassa-1308	86	27	,	,	PUNCT
ijassa-1308	86	28	e.g.	e.g.	ADV
ijassa-1308	86	29	,	,	PUNCT
ijassa-1308	86	30	in	in	ADP
ijassa-1308	86	31	landscape	landscape	NOUN
ijassa-1308	86	32	images	image	NOUN
ijassa-1308	86	33	cnn	cnn	PROPN
ijassa-1308	86	34	can	can	AUX
ijassa-1308	86	35	distinguish	distinguish	VERB
ijassa-1308	86	36	between	between	ADP
ijassa-1308	86	37	grass	grass	NOUN
ijassa-1308	86	38	,	,	PUNCT
ijassa-1308	86	39	woods	wood	NOUN
ijassa-1308	86	40	,	,	PUNCT
ijassa-1308	86	41	sky	sky	NOUN
ijassa-1308	86	42	,	,	PUNCT
ijassa-1308	86	43	etc	etc	X
ijassa-1308	86	44	.	.	X
ijassa-1308	86	45	therefore	therefore	ADV
ijassa-1308	86	46	,	,	PUNCT
ijassa-1308	86	47	the	the	DET
ijassa-1308	86	48	task	task	NOUN
ijassa-1308	86	49	is	be	AUX
ijassa-1308	86	50	to	to	PART
ijassa-1308	86	51	identify	identify	VERB
ijassa-1308	86	52	which	which	DET
ijassa-1308	86	53	object	object	VERB
ijassa-1308	86	54	a	a	DET
ijassa-1308	86	55	given	give	VERB
ijassa-1308	86	56	pixel	pixel	NOUN
ijassa-1308	86	57	of	of	ADP
ijassa-1308	86	58	the	the	DET
ijassa-1308	86	59	image	image	NOUN
ijassa-1308	86	60	belongs	belong	VERB
ijassa-1308	86	61	to	to	PART
ijassa-1308	86	62	.	.	PUNCT
ijassa-1308	87	1	thus	thus	ADV
ijassa-1308	87	2	,	,	PUNCT
ijassa-1308	87	3	in	in	ADP
ijassa-1308	87	4	segmentation	segmentation	NOUN
ijassa-1308	87	5	cnns	cnn	NOUN
ijassa-1308	87	6	classifiers	classifier	NOUN
ijassa-1308	87	7	are	be	AUX
ijassa-1308	87	8	applied	apply	VERB
ijassa-1308	87	9	to	to	ADP
ijassa-1308	87	10	each	each	DET
ijassa-1308	87	11	pixel	pixel	NOUN
ijassa-1308	87	12	independently	independently	ADV
ijassa-1308	87	13	.	.	PUNCT
ijassa-1308	88	1	furthermore	furthermore	ADV
ijassa-1308	88	2	,	,	PUNCT
ijassa-1308	88	3	to	to	PART
ijassa-1308	88	4	reduce	reduce	VERB
ijassa-1308	88	5	noise	noise	NOUN
ijassa-1308	88	6	,	,	PUNCT
ijassa-1308	88	7	segmentation	segmentation	NOUN
ijassa-1308	88	8	cnns	cnn	NOUN
ijassa-1308	88	9	use	use	VERB
ijassa-1308	88	10	two	two	NUM
ijassa-1308	88	11	procedures	procedure	NOUN
ijassa-1308	88	12	:	:	PUNCT
ijassa-1308	88	13	1	1	X
ijassa-1308	88	14	.	.	X
ijassa-1308	88	15	down	down	ADV
ijassa-1308	88	16	-	-	PUNCT
ijassa-1308	88	17	sampling	sample	VERB
ijassa-1308	88	18	(	(	PUNCT
ijassa-1308	88	19	encoder	encoder	NOUN
ijassa-1308	88	20	)	)	PUNCT
ijassa-1308	88	21	,	,	PUNCT
ijassa-1308	88	22	when	when	SCONJ
ijassa-1308	88	23	original	original	ADJ
ijassa-1308	88	24	image	image	NOUN
ijassa-1308	88	25	is	be	AUX
ijassa-1308	88	26	compressed	compress	VERB
ijassa-1308	88	27	in	in	ADP
ijassa-1308	88	28	size	size	NOUN
ijassa-1308	88	29	;	;	PUNCT
ijassa-1308	88	30	2	2	X
ijassa-1308	88	31	.	.	X
ijassa-1308	88	32	up	up	ADV
ijassa-1308	88	33	-	-	PUNCT
ijassa-1308	88	34	sampling	sample	VERB
ijassa-1308	88	35	(	(	PUNCT
ijassa-1308	88	36	decoder	decoder	NOUN
ijassa-1308	88	37	)	)	PUNCT
ijassa-1308	88	38	,	,	PUNCT
ijassa-1308	88	39	when	when	SCONJ
ijassa-1308	88	40	compressed	compressed	ADJ
ijassa-1308	88	41	image	image	NOUN
ijassa-1308	88	42	is	be	AUX
ijassa-1308	88	43	restored	restore	VERB
ijassa-1308	88	44	to	to	ADP
ijassa-1308	88	45	the	the	DET
ijassa-1308	88	46	size	size	NOUN
ijassa-1308	88	47	of	of	ADP
ijassa-1308	88	48	the	the	DET
ijassa-1308	88	49	original	original	ADJ
ijassa-1308	88	50	image	image	NOUN
ijassa-1308	88	51	.	.	PUNCT
ijassa-1308	89	1	then	then	ADV
ijassa-1308	89	2	each	each	DET
ijassa-1308	89	3	pixel	pixel	NOUN
ijassa-1308	89	4	of	of	ADP
ijassa-1308	89	5	the	the	DET
ijassa-1308	89	6	up	up	ADV
ijassa-1308	89	7	-	-	PUNCT
ijassa-1308	89	8	sampled	sample	VERB
ijassa-1308	89	9	image	image	NOUN
ijassa-1308	89	10	is	be	AUX
ijassa-1308	89	11	a	a	DET
ijassa-1308	89	12	subject	subject	NOUN
ijassa-1308	89	13	for	for	ADP
ijassa-1308	89	14	it	it	PRON
ijassa-1308	89	15	own	own	ADJ
ijassa-1308	89	16	classifier	classifier	NOUN
ijassa-1308	89	17	,	,	PUNCT
ijassa-1308	89	18	which	which	PRON
ijassa-1308	89	19	is	be	AUX
ijassa-1308	89	20	independent	independent	ADJ
ijassa-1308	89	21	from	from	ADP
ijassa-1308	89	22	the	the	DET
ijassa-1308	89	23	classifiers	classifier	NOUN
ijassa-1308	89	24	of	of	ADP
ijassa-1308	89	25	other	other	ADJ
ijassa-1308	89	26	pixels	pixel	NOUN
ijassa-1308	89	27	.	.	PUNCT
ijassa-1308	90	1	a	a	DET
ijassa-1308	90	2	general	general	ADJ
ijassa-1308	90	3	structure	structure	NOUN
ijassa-1308	90	4	of	of	ADP
ijassa-1308	90	5	the	the	DET
ijassa-1308	90	6	segmentation	segmentation	NOUN
ijassa-1308	90	7	cnn‘s	cnn‘s	PROPN
ijassa-1308	90	8	is	be	AUX
ijassa-1308	90	9	presented	present	VERB
ijassa-1308	90	10	in	in	ADP
ijassa-1308	90	11	fig	fig	NOUN
ijassa-1308	90	12	.	.	PUNCT
ijassa-1308	91	1	(	(	PUNCT
ijassa-1308	91	2	2.2	2.2	NUM
ijassa-1308	91	3	)	)	PUNCT
ijassa-1308	91	4	copyright	copyright	NOUN
ijassa-1308	91	5	©	©	PROPN
ijassa-1308	91	6	2022	2022	NUM
ijassa-1308	91	7	assa	assa	NOUN
ijassa-1308	91	8	.	.	PUNCT
ijassa-1308	92	1	adv	adv	PROPN
ijassa-1308	92	2	syst	syst	PROPN
ijassa-1308	92	3	sci	sci	PROPN
ijassa-1308	92	4	appl	appl	PROPN
ijassa-1308	92	5	(	(	PUNCT
ijassa-1308	92	6	2022	2022	NUM
ijassa-1308	92	7	)	)	PUNCT
ijassa-1308	92	8	the	the	DET
ijassa-1308	92	9	influence	influence	NOUN
ijassa-1308	92	10	of	of	ADP
ijassa-1308	92	11	image	image	NOUN
ijassa-1308	92	12	morphology	morphology	NOUN
ijassa-1308	92	13	...	...	PUNCT
ijassa-1308	92	14	35	35	NUM
ijassa-1308	92	15	fig	fig	NOUN
ijassa-1308	92	16	.	.	PUNCT
ijassa-1308	93	1	2.2	2.2	NUM
ijassa-1308	93	2	.	.	PUNCT
ijassa-1308	93	3	general	general	ADJ
ijassa-1308	93	4	structure	structure	NOUN
ijassa-1308	93	5	of	of	ADP
ijassa-1308	93	6	the	the	DET
ijassa-1308	93	7	encoder	encoder	NOUN
ijassa-1308	93	8	-	-	PUNCT
ijassa-1308	93	9	decoder	decoder	NOUN
ijassa-1308	93	10	cnns	cnn	NOUN
ijassa-1308	93	11	architecture	architecture	NOUN
ijassa-1308	93	12	for	for	ADP
ijassa-1308	93	13	segmentation	segmentation	NOUN
ijassa-1308	93	14	.	.	PUNCT
ijassa-1308	94	1	the	the	DET
ijassa-1308	94	2	most	most	ADV
ijassa-1308	94	3	prominent	prominent	ADJ
ijassa-1308	94	4	networks	network	NOUN
ijassa-1308	94	5	in	in	ADP
ijassa-1308	94	6	image	image	NOUN
ijassa-1308	94	7	segmentations	segmentation	NOUN
ijassa-1308	94	8	cnns	cnn	NOUN
ijassa-1308	94	9	are	be	AUX
ijassa-1308	94	10	u	u	NOUN
ijassa-1308	94	11	-	-	NOUN
ijassa-1308	94	12	net	net	ADJ
ijassa-1308	94	13	[	[	X
ijassa-1308	94	14	56	56	NUM
ijassa-1308	94	15	]	]	PUNCT
ijassa-1308	94	16	and	and	CCONJ
ijassa-1308	94	17	segnet	segnet	NOUN
ijassa-1308	95	1	[	[	X
ijassa-1308	95	2	5	5	NUM
ijassa-1308	95	3	]	]	PUNCT
ijassa-1308	95	4	.	.	PUNCT
ijassa-1308	96	1	in	in	ADP
ijassa-1308	96	2	this	this	DET
ijassa-1308	96	3	paper	paper	NOUN
ijassa-1308	96	4	,	,	PUNCT
ijassa-1308	96	5	we	we	PRON
ijassa-1308	96	6	are	be	AUX
ijassa-1308	96	7	solving	solve	VERB
ijassa-1308	96	8	a	a	DET
ijassa-1308	96	9	task	task	NOUN
ijassa-1308	96	10	of	of	ADP
ijassa-1308	96	11	dissociating	dissociate	VERB
ijassa-1308	96	12	between	between	ADP
ijassa-1308	96	13	porous	porous	ADJ
ijassa-1308	96	14	and	and	CCONJ
ijassa-1308	96	15	non	non	ADJ
ijassa-1308	96	16	-	-	ADJ
ijassa-1308	96	17	porous	porous	ADJ
ijassa-1308	96	18	space	space	NOUN
ijassa-1308	96	19	within	within	ADP
ijassa-1308	96	20	xct	xct	PROPN
ijassa-1308	96	21	images	image	NOUN
ijassa-1308	96	22	.	.	PUNCT
ijassa-1308	97	1	furthermore	furthermore	ADV
ijassa-1308	97	2	,	,	PUNCT
ijassa-1308	97	3	there	there	PRON
ijassa-1308	97	4	can	can	AUX
ijassa-1308	97	5	be	be	AUX
ijassa-1308	97	6	only	only	ADV
ijassa-1308	97	7	either	either	CCONJ
ijassa-1308	97	8	porous	porous	ADJ
ijassa-1308	97	9	or	or	CCONJ
ijassa-1308	97	10	non	non	ADJ
ijassa-1308	97	11	-	-	ADJ
ijassa-1308	97	12	porous	porous	ADJ
ijassa-1308	97	13	space	space	NOUN
ijassa-1308	97	14	in	in	ADP
ijassa-1308	97	15	the	the	DET
ijassa-1308	97	16	image	image	NOUN
ijassa-1308	97	17	,	,	PUNCT
ijassa-1308	97	18	i.e.	i.e.	X
ijassa-1308	97	19	,	,	PUNCT
ijassa-1308	97	20	no	no	DET
ijassa-1308	97	21	background	background	NOUN
ijassa-1308	97	22	pixels	pixel	VERB
ijassa-1308	97	23	.	.	PUNCT
ijassa-1308	98	1	therefore	therefore	ADV
ijassa-1308	98	2	,	,	PUNCT
ijassa-1308	98	3	we	we	PRON
ijassa-1308	98	4	need	need	VERB
ijassa-1308	98	5	to	to	PART
ijassa-1308	98	6	assign	assign	VERB
ijassa-1308	98	7	each	each	DET
ijassa-1308	98	8	pixel	pixel	NOUN
ijassa-1308	98	9	to	to	PART
ijassa-1308	98	10	be	be	AUX
ijassa-1308	98	11	either	either	PRON
ijassa-1308	98	12	of	of	ADP
ijassa-1308	98	13	porous	porous	ADJ
ijassa-1308	98	14	or	or	CCONJ
ijassa-1308	98	15	non	non	ADJ
ijassa-1308	98	16	-	-	ADJ
ijassa-1308	98	17	porous	porous	ADJ
ijassa-1308	98	18	type	type	NOUN
ijassa-1308	98	19	.	.	PUNCT
ijassa-1308	99	1	segmentation	segmentation	NOUN
ijassa-1308	99	2	cnns	cnn	NOUN
ijassa-1308	99	3	are	be	AUX
ijassa-1308	99	4	natural	natural	ADJ
ijassa-1308	99	5	solutions	solution	NOUN
ijassa-1308	99	6	to	to	ADP
ijassa-1308	99	7	this	this	DET
ijassa-1308	99	8	2	2	NUM
ijassa-1308	99	9	-	-	PUNCT
ijassa-1308	99	10	class	class	NOUN
ijassa-1308	99	11	segmentation	segmentation	NOUN
ijassa-1308	99	12	problem	problem	NOUN
ijassa-1308	99	13	.	.	PUNCT
ijassa-1308	100	1	in	in	ADP
ijassa-1308	100	2	this	this	DET
ijassa-1308	100	3	study	study	NOUN
ijassa-1308	100	4	,	,	PUNCT
ijassa-1308	100	5	we	we	PRON
ijassa-1308	100	6	used	use	VERB
ijassa-1308	100	7	a	a	DET
ijassa-1308	100	8	specific	specific	ADJ
ijassa-1308	100	9	version	version	NOUN
ijassa-1308	100	10	of	of	ADP
ijassa-1308	100	11	the	the	DET
ijassa-1308	100	12	u	u	ADJ
ijassa-1308	100	13	-	-	ADJ
ijassa-1308	100	14	net	net	ADJ
ijassa-1308	100	15	architecture	architecture	NOUN
ijassa-1308	100	16	:	:	PUNCT
ijassa-1308	100	17	a	a	DET
ijassa-1308	100	18	u	u	NOUN
ijassa-1308	100	19	-	-	NOUN
ijassa-1308	100	20	net	net	ADJ
ijassa-1308	100	21	with	with	ADP
ijassa-1308	100	22	a	a	DET
ijassa-1308	100	23	res	re	NOUN
ijassa-1308	100	24	-	-	PUNCT
ijassa-1308	100	25	net	net	ADJ
ijassa-1308	100	26	50	50	NUM
ijassa-1308	100	27	[	[	SYM
ijassa-1308	100	28	37	37	NUM
ijassa-1308	100	29	]	]	PUNCT
ijassa-1308	100	30	encoder	encoder	NOUN
ijassa-1308	100	31	that	that	PRON
ijassa-1308	100	32	was	be	AUX
ijassa-1308	100	33	pretrained	pretraine	VERB
ijassa-1308	100	34	on	on	ADP
ijassa-1308	100	35	the	the	DET
ijassa-1308	100	36	imagenet	imagenet	NOUN
ijassa-1308	100	37	dataset	dataset	VERB
ijassa-1308	100	38	[	[	X
ijassa-1308	100	39	44	44	NUM
ijassa-1308	100	40	]	]	PUNCT
ijassa-1308	100	41	.	.	PUNCT
ijassa-1308	101	1	we	we	PRON
ijassa-1308	101	2	expect	expect	VERB
ijassa-1308	101	3	this	this	DET
ijassa-1308	101	4	combination	combination	NOUN
ijassa-1308	101	5	provides	provide	VERB
ijassa-1308	101	6	a	a	DET
ijassa-1308	101	7	balance	balance	NOUN
ijassa-1308	101	8	between	between	ADP
ijassa-1308	101	9	the	the	DET
ijassa-1308	101	10	speed	speed	NOUN
ijassa-1308	101	11	of	of	ADP
ijassa-1308	101	12	the	the	DET
ijassa-1308	101	13	architecture	architecture	NOUN
ijassa-1308	101	14	and	and	CCONJ
ijassa-1308	101	15	the	the	DET
ijassa-1308	101	16	quality	quality	NOUN
ijassa-1308	101	17	of	of	ADP
ijassa-1308	101	18	the	the	DET
ijassa-1308	101	19	segmentation	segmentation	NOUN
ijassa-1308	101	20	result	result	NOUN
ijassa-1308	101	21	.	.	PUNCT
ijassa-1308	102	1	2.2	2.2	NUM
ijassa-1308	102	2	.	.	PUNCT
ijassa-1308	102	3	porous	porous	ADJ
ijassa-1308	102	4	media	medium	NOUN
ijassa-1308	102	5	acquisition	acquisition	NOUN
ijassa-1308	102	6	and	and	CCONJ
ijassa-1308	102	7	specs	spec	NOUN
ijassa-1308	102	8	we	we	PRON
ijassa-1308	102	9	gathered	gather	VERB
ijassa-1308	102	10	a	a	DET
ijassa-1308	102	11	library	library	NOUN
ijassa-1308	102	12	of	of	ADP
ijassa-1308	102	13	xct	xct	PROPN
ijassa-1308	102	14	images	image	NOUN
ijassa-1308	102	15	containing	contain	VERB
ijassa-1308	102	16	4	4	NUM
ijassa-1308	102	17	natural	natural	ADJ
ijassa-1308	102	18	porous	porous	ADJ
ijassa-1308	102	19	media	medium	NOUN
ijassa-1308	102	20	samples	sample	NOUN
ijassa-1308	102	21	of	of	ADP
ijassa-1308	102	22	different	different	ADJ
ijassa-1308	102	23	genesis	genesis	NOUN
ijassa-1308	102	24	.	.	PUNCT
ijassa-1308	103	1	all	all	DET
ijassa-1308	103	2	3d	3d	NOUN
ijassa-1308	103	3	xct	xct	PROPN
ijassa-1308	103	4	images	image	NOUN
ijassa-1308	103	5	were	be	AUX
ijassa-1308	103	6	obtained	obtain	VERB
ijassa-1308	103	7	using	use	VERB
ijassa-1308	103	8	skyscan	skyscan	PROPN
ijassa-1308	103	9	-	-	PUNCT
ijassa-1308	103	10	bruker	bruker	PROPN
ijassa-1308	103	11	1172	1172	NUM
ijassa-1308	103	12	desktop	desktop	NOUN
ijassa-1308	103	13	scanner	scanner	NOUN
ijassa-1308	103	14	with	with	ADP
ijassa-1308	103	15	different	different	ADJ
ijassa-1308	103	16	resolutions	resolution	NOUN
ijassa-1308	103	17	,	,	PUNCT
ijassa-1308	103	18	which	which	PRON
ijassa-1308	103	19	depended	depend	VERB
ijassa-1308	103	20	on	on	ADP
ijassa-1308	103	21	the	the	DET
ijassa-1308	103	22	size	size	NOUN
ijassa-1308	103	23	of	of	ADP
ijassa-1308	103	24	the	the	DET
ijassa-1308	103	25	cylindrical	cylindrical	ADJ
ijassa-1308	103	26	samples	sample	NOUN
ijassa-1308	103	27	subdrilled	subdrille	VERB
ijassa-1308	103	28	(	(	PUNCT
ijassa-1308	103	29	in	in	ADP
ijassa-1308	103	30	case	case	NOUN
ijassa-1308	103	31	of	of	ADP
ijassa-1308	103	32	rocks	rock	NOUN
ijassa-1308	103	33	)	)	PUNCT
ijassa-1308	103	34	from	from	ADP
ijassa-1308	103	35	core	core	NOUN
ijassa-1308	103	36	material	material	NOUN
ijassa-1308	103	37	.	.	PUNCT
ijassa-1308	104	1	all	all	DET
ijassa-1308	104	2	resolutions	resolution	NOUN
ijassa-1308	104	3	were	be	AUX
ijassa-1308	104	4	carefully	carefully	ADV
ijassa-1308	104	5	chosen	choose	VERB
ijassa-1308	104	6	to	to	PART
ijassa-1308	104	7	capture	capture	VERB
ijassa-1308	104	8	major	major	ADJ
ijassa-1308	104	9	pore	pore	ADJ
ijassa-1308	104	10	sizes	size	NOUN
ijassa-1308	104	11	.	.	PUNCT
ijassa-1308	105	1	some	some	DET
ijassa-1308	105	2	amount	amount	NOUN
ijassa-1308	105	3	of	of	ADP
ijassa-1308	105	4	porosity	porosity	NOUN
ijassa-1308	105	5	could	could	AUX
ijassa-1308	105	6	be	be	AUX
ijassa-1308	105	7	below	below	ADP
ijassa-1308	105	8	resolution	resolution	NOUN
ijassa-1308	105	9	and	and	CCONJ
ijassa-1308	105	10	,	,	PUNCT
ijassa-1308	105	11	thus	thus	ADV
ijassa-1308	105	12	,	,	PUNCT
ijassa-1308	105	13	not	not	PART
ijassa-1308	105	14	represented	represent	VERB
ijassa-1308	105	15	on	on	ADP
ijassa-1308	105	16	the	the	DET
ijassa-1308	105	17	images	image	NOUN
ijassa-1308	105	18	.	.	PUNCT
ijassa-1308	106	1	all	all	DET
ijassa-1308	106	2	these	these	DET
ijassa-1308	106	3	samples	sample	NOUN
ijassa-1308	106	4	were	be	AUX
ijassa-1308	106	5	chosen	choose	VERB
ijassa-1308	106	6	to	to	PART
ijassa-1308	106	7	be	be	AUX
ijassa-1308	106	8	very	very	ADV
ijassa-1308	106	9	different	different	ADJ
ijassa-1308	106	10	in	in	ADP
ijassa-1308	106	11	pore	pore	ADJ
ijassa-1308	106	12	structure	structure	NOUN
ijassa-1308	106	13	.	.	PUNCT
ijassa-1308	107	1	moreover	moreover	ADV
ijassa-1308	107	2	,	,	PUNCT
ijassa-1308	107	3	one	one	NUM
ijassa-1308	107	4	of	of	ADP
ijassa-1308	107	5	the	the	DET
ijassa-1308	107	6	samples	sample	NOUN
ijassa-1308	107	7	contains	contain	VERB
ijassa-1308	107	8	cracks	crack	NOUN
ijassa-1308	107	9	and	and	CCONJ
ijassa-1308	107	10	fissures	fissure	NOUN
ijassa-1308	107	11	,	,	PUNCT
ijassa-1308	107	12	that	that	PRON
ijassa-1308	107	13	provide	provide	VERB
ijassa-1308	107	14	additional	additional	ADJ
ijassa-1308	107	15	complexity	complexity	NOUN
ijassa-1308	107	16	to	to	ADP
ijassa-1308	107	17	the	the	DET
ijassa-1308	107	18	segmentation	segmentation	NOUN
ijassa-1308	107	19	procedure	procedure	NOUN
ijassa-1308	107	20	.	.	PUNCT
ijassa-1308	108	1	after	after	ADP
ijassa-1308	108	2	acquisition	acquisition	NOUN
ijassa-1308	108	3	,	,	PUNCT
ijassa-1308	108	4	we	we	PRON
ijassa-1308	108	5	have	have	VERB
ijassa-1308	108	6	cropped	crop	VERB
ijassa-1308	108	7	regions	region	NOUN
ijassa-1308	108	8	of	of	ADP
ijassa-1308	108	9	interest	interest	NOUN
ijassa-1308	108	10	with	with	ADP
ijassa-1308	108	11	volumes	volume	NOUN
ijassa-1308	108	12	of	of	ADP
ijassa-1308	108	13	10003	10003	NUM
ijassa-1308	108	14	voxels	voxel	NOUN
ijassa-1308	108	15	from	from	ADP
ijassa-1308	108	16	each	each	DET
ijassa-1308	108	17	full	full	ADJ
ijassa-1308	108	18	size	size	NOUN
ijassa-1308	108	19	scan	scan	NOUN
ijassa-1308	108	20	.	.	PUNCT
ijassa-1308	109	1	subcropping	subcroppe	VERB
ijassa-1308	109	2	is	be	AUX
ijassa-1308	109	3	useful	useful	ADJ
ijassa-1308	109	4	is	be	AUX
ijassa-1308	109	5	useful	useful	ADJ
ijassa-1308	109	6	for	for	ADP
ijassa-1308	109	7	a	a	DET
ijassa-1308	109	8	number	number	NOUN
ijassa-1308	109	9	of	of	ADP
ijassa-1308	109	10	reasons	reason	NOUN
ijassa-1308	109	11	:	:	PUNCT
ijassa-1308	110	1	1	1	X
ijassa-1308	110	2	.	.	PUNCT
ijassa-1308	110	3	to	to	PART
ijassa-1308	110	4	remove	remove	VERB
ijassa-1308	110	5	all	all	DET
ijassa-1308	110	6	border	border	NOUN
ijassa-1308	110	7	effects	effect	NOUN
ijassa-1308	110	8	due	due	ADJ
ijassa-1308	110	9	to	to	ADP
ijassa-1308	110	10	cylindrical	cylindrical	ADJ
ijassa-1308	110	11	sample	sample	NOUN
ijassa-1308	110	12	shape	shape	NOUN
ijassa-1308	110	13	;	;	PUNCT
ijassa-1308	110	14	2	2	X
ijassa-1308	110	15	.	.	PUNCT
ijassa-1308	110	16	to	to	PART
ijassa-1308	110	17	make	make	VERB
ijassa-1308	110	18	subvolume	subvolume	ADJ
ijassa-1308	110	19	cubic	cubic	ADJ
ijassa-1308	110	20	,	,	PUNCT
ijassa-1308	110	21	such	such	ADJ
ijassa-1308	110	22	shape	shape	NOUN
ijassa-1308	110	23	is	be	AUX
ijassa-1308	110	24	convenient	convenient	ADJ
ijassa-1308	110	25	for	for	ADP
ijassa-1308	110	26	further	further	ADJ
ijassa-1308	110	27	processing	processing	NOUN
ijassa-1308	110	28	,	,	PUNCT
ijassa-1308	110	29	as	as	SCONJ
ijassa-1308	110	30	it	it	PRON
ijassa-1308	110	31	basically	basically	ADV
ijassa-1308	110	32	represents	represent	VERB
ijassa-1308	110	33	a	a	DET
ijassa-1308	110	34	3d	3d	ADJ
ijassa-1308	110	35	matrix	matrix	NOUN
ijassa-1308	110	36	of	of	ADP
ijassa-1308	110	37	the	the	DET
ijassa-1308	110	38	same	same	ADJ
ijassa-1308	110	39	dimension	dimension	NOUN
ijassa-1308	110	40	;	;	PUNCT
ijassa-1308	110	41	3	3	X
ijassa-1308	110	42	.	.	X
ijassa-1308	110	43	to	to	PART
ijassa-1308	110	44	reduce	reduce	VERB
ijassa-1308	110	45	input	input	NOUN
ijassa-1308	110	46	size	size	NOUN
ijassa-1308	110	47	,	,	PUNCT
ijassa-1308	110	48	the	the	DET
ijassa-1308	110	49	size	size	NOUN
ijassa-1308	110	50	of	of	ADP
ijassa-1308	110	51	10003	10003	NUM
ijassa-1308	110	52	voxels	voxel	NOUN
ijassa-1308	110	53	provides	provide	VERB
ijassa-1308	110	54	a	a	DET
ijassa-1308	110	55	good	good	ADJ
ijassa-1308	110	56	compromise	compromise	NOUN
ijassa-1308	110	57	between	between	ADP
ijassa-1308	110	58	image	image	NOUN
ijassa-1308	110	59	representability	representability	NOUN
ijassa-1308	110	60	and	and	CCONJ
ijassa-1308	110	61	computational	computational	ADJ
ijassa-1308	110	62	efforts	effort	NOUN
ijassa-1308	110	63	needed	need	VERB
ijassa-1308	110	64	for	for	ADP
ijassa-1308	110	65	its	its	PRON
ijassa-1308	110	66	processing	processing	NOUN
ijassa-1308	110	67	.	.	PUNCT
ijassa-1308	111	1	next	next	ADV
ijassa-1308	111	2	,	,	PUNCT
ijassa-1308	111	3	the	the	DET
ijassa-1308	111	4	original	original	ADJ
ijassa-1308	111	5	porous	porous	ADJ
ijassa-1308	111	6	media	medium	NOUN
ijassa-1308	111	7	sample	sample	NOUN
ijassa-1308	111	8	was	be	AUX
ijassa-1308	111	9	segmented	segment	VERB
ijassa-1308	111	10	into	into	ADP
ijassa-1308	111	11	two	two	NUM
ijassa-1308	111	12	phases	phase	NOUN
ijassa-1308	111	13	using	use	VERB
ijassa-1308	111	14	the	the	DET
ijassa-1308	111	15	conventional	conventional	ADJ
ijassa-1308	111	16	local	local	ADJ
ijassa-1308	111	17	thresholding	thresholde	VERB
ijassa-1308	111	18	approach	approach	NOUN
ijassa-1308	111	19	–	–	PUNCT
ijassa-1308	111	20	converging	converge	VERB
ijassa-1308	111	21	active	active	ADJ
ijassa-1308	111	22	contours	contours	NOUN
ijassa-1308	111	23	method	method	NOUN
ijassa-1308	111	24	[	[	X
ijassa-1308	111	25	61	61	NUM
ijassa-1308	111	26	]	]	PUNCT
ijassa-1308	111	27	.	.	PUNCT
ijassa-1308	112	1	obtained	obtain	VERB
ijassa-1308	112	2	morphological	morphological	ADJ
ijassa-1308	112	3	binary	binary	ADJ
ijassa-1308	112	4	structures	structure	NOUN
ijassa-1308	112	5	were	be	AUX
ijassa-1308	112	6	used	use	VERB
ijassa-1308	112	7	as	as	ADP
ijassa-1308	112	8	a	a	DET
ijassa-1308	112	9	basis	basis	NOUN
ijassa-1308	112	10	for	for	ADP
ijassa-1308	112	11	constructing	construct	VERB
ijassa-1308	112	12	synthetic	synthetic	ADJ
ijassa-1308	112	13	xct	xct	PROPN
ijassa-1308	112	14	image	image	NOUN
ijassa-1308	112	15	.	.	PUNCT
ijassa-1308	113	1	the	the	DET
ijassa-1308	113	2	pore	pore	ADJ
ijassa-1308	113	3	space	space	NOUN
ijassa-1308	113	4	of	of	ADP
ijassa-1308	113	5	these	these	DET
ijassa-1308	113	6	structures	structure	NOUN
ijassa-1308	113	7	was	be	AUX
ijassa-1308	113	8	filled	fill	VERB
ijassa-1308	113	9	with	with	ADP
ijassa-1308	113	10	air	air	NOUN
ijassa-1308	113	11	,	,	PUNCT
ijassa-1308	113	12	the	the	DET
ijassa-1308	113	13	solid	solid	ADJ
ijassa-1308	113	14	phase	phase	NOUN
ijassa-1308	113	15	was	be	AUX
ijassa-1308	113	16	considered	consider	VERB
ijassa-1308	113	17	to	to	PART
ijassa-1308	113	18	be	be	AUX
ijassa-1308	113	19	made	make	VERB
ijassa-1308	113	20	of	of	ADP
ijassa-1308	113	21	kaolinite	kaolinite	NOUN
ijassa-1308	113	22	(	(	PUNCT
ijassa-1308	113	23	al2si2o5oh4	al2si2o5oh4	NOUN
ijassa-1308	113	24	)	)	PUNCT
ijassa-1308	113	25	.	.	PUNCT
ijassa-1308	114	1	while	while	SCONJ
ijassa-1308	114	2	creating	create	VERB
ijassa-1308	114	3	synthetic	synthetic	ADJ
ijassa-1308	114	4	xct	xct	PROPN
ijassa-1308	114	5	(	(	PUNCT
ijassa-1308	114	6	see	see	VERB
ijassa-1308	114	7	details	detail	NOUN
ijassa-1308	114	8	in	in	ADP
ijassa-1308	114	9	the	the	DET
ijassa-1308	114	10	next	next	ADJ
ijassa-1308	114	11	subsection	subsection	NOUN
ijassa-1308	114	12	)	)	PUNCT
ijassa-1308	114	13	,	,	PUNCT
ijassa-1308	114	14	we	we	PRON
ijassa-1308	114	15	compressed	compress	VERB
ijassa-1308	114	16	the	the	DET
ijassa-1308	114	17	resulting	result	VERB
ijassa-1308	114	18	images	image	NOUN
ijassa-1308	114	19	(	(	PUNCT
ijassa-1308	114	20	as	as	ADV
ijassa-1308	114	21	well	well	ADV
ijassa-1308	114	22	as	as	ADP
ijassa-1308	114	23	the	the	DET
ijassa-1308	114	24	corresponding	correspond	VERB
ijassa-1308	114	25	markup	markup	ADJ
ijassa-1308	114	26	images	image	NOUN
ijassa-1308	114	27	)	)	PUNCT
ijassa-1308	114	28	in	in	ADP
ijassa-1308	114	29	5	5	NUM
ijassa-1308	114	30	times	time	NOUN
ijassa-1308	114	31	to	to	ADP
ijassa-1308	114	32	2003	2003	NUM
ijassa-1308	114	33	in	in	ADP
ijassa-1308	114	34	order	order	NOUN
ijassa-1308	114	35	to	to	PART
ijassa-1308	114	36	obtain	obtain	VERB
ijassa-1308	114	37	and	and	CCONJ
ijassa-1308	114	38	study	study	VERB
ijassa-1308	114	39	the	the	DET
ijassa-1308	114	40	partial	partial	ADJ
ijassa-1308	114	41	volume	volume	NOUN
ijassa-1308	114	42	effect	effect	NOUN
ijassa-1308	114	43	–	–	PUNCT
ijassa-1308	114	44	this	this	PRON
ijassa-1308	114	45	made	make	VERB
ijassa-1308	114	46	segmentation	segmentation	NOUN
ijassa-1308	114	47	task	task	NOUN
ijassa-1308	114	48	on	on	ADP
ijassa-1308	114	49	synthetic	synthetic	ADJ
ijassa-1308	114	50	images	image	NOUN
ijassa-1308	114	51	closer	close	ADV
ijassa-1308	114	52	to	to	ADP
ijassa-1308	114	53	real	real	ADJ
ijassa-1308	114	54	xct	xct	PROPN
ijassa-1308	114	55	conditions	condition	NOUN
ijassa-1308	114	56	.	.	PUNCT
ijassa-1308	115	1	copyright	copyright	NOUN
ijassa-1308	115	2	©	©	ADP
ijassa-1308	115	3	2022	2022	NUM
ijassa-1308	115	4	assa	assa	NOUN
ijassa-1308	115	5	.	.	PUNCT
ijassa-1308	116	1	adv	adv	PROPN
ijassa-1308	116	2	syst	syst	PROPN
ijassa-1308	116	3	sci	sci	PROPN
ijassa-1308	116	4	appl	appl	PROPN
ijassa-1308	116	5	(	(	PUNCT
ijassa-1308	116	6	2022	2022	NUM
ijassa-1308	116	7	)	)	PUNCT
ijassa-1308	116	8	36	36	NUM
ijassa-1308	116	9	efim	efim	NOUN
ijassa-1308	116	10	v.	v.	ADP
ijassa-1308	116	11	lavrukhin	lavrukhin	NOUN
ijassa-1308	116	12	,	,	PUNCT
ijassa-1308	116	13	vasily	vasily	NOUN
ijassa-1308	116	14	postnicov	postnicov	NOUN
ijassa-1308	116	15	,	,	PUNCT
ijassa-1308	116	16	kirill	kirill	PROPN
ijassa-1308	116	17	m.	m.	PROPN
ijassa-1308	116	18	gerke	gerke	PROPN
ijassa-1308	116	19	sample	sample	PROPN
ijassa-1308	116	20	1	1	NUM
ijassa-1308	116	21	sample	sample	NOUN
ijassa-1308	116	22	2	2	NUM
ijassa-1308	116	23	sample	sample	NOUN
ijassa-1308	116	24	3	3	NUM
ijassa-1308	116	25	sample	sample	NOUN
ijassa-1308	116	26	4	4	NUM
ijassa-1308	116	27	fig	fig	NOUN
ijassa-1308	116	28	.	.	PUNCT
ijassa-1308	117	1	2.3	2.3	NUM
ijassa-1308	117	2	.	.	PUNCT
ijassa-1308	118	1	examples	example	NOUN
ijassa-1308	118	2	of	of	ADP
ijassa-1308	118	3	2d	2d	NUM
ijassa-1308	118	4	slices	slice	NOUN
ijassa-1308	118	5	through	through	ADP
ijassa-1308	118	6	3d	3d	PROPN
ijassa-1308	118	7	synthetic	synthetic	NOUN
ijassa-1308	118	8	xct	xct	PROPN
ijassa-1308	118	9	images	image	NOUN
ijassa-1308	118	10	.	.	PUNCT
ijassa-1308	119	1	the	the	DET
ijassa-1308	119	2	example	example	NOUN
ijassa-1308	119	3	2d	2d	NUM
ijassa-1308	119	4	slices	slice	NOUN
ijassa-1308	119	5	from	from	ADP
ijassa-1308	119	6	all	all	DET
ijassa-1308	119	7	synthetic	synthetic	ADJ
ijassa-1308	119	8	xct	xct	PROPN
ijassa-1308	119	9	images	image	NOUN
ijassa-1308	119	10	are	be	AUX
ijassa-1308	119	11	shown	show	VERB
ijassa-1308	119	12	in	in	ADP
ijassa-1308	119	13	fig	fig	NOUN
ijassa-1308	119	14	.	.	PUNCT
ijassa-1308	120	1	2.3	2.3	NUM
ijassa-1308	120	2	.	.	PUNCT
ijassa-1308	121	1	this	this	DET
ijassa-1308	121	2	figure	figure	NOUN
ijassa-1308	121	3	also	also	ADV
ijassa-1308	121	4	identifies	identify	VERB
ijassa-1308	121	5	sample	sample	NOUN
ijassa-1308	121	6	references	reference	NOUN
ijassa-1308	121	7	used	use	VERB
ijassa-1308	121	8	throughout	throughout	ADP
ijassa-1308	121	9	this	this	DET
ijassa-1308	121	10	study	study	NOUN
ijassa-1308	121	11	:	:	PUNCT
ijassa-1308	121	12	sample	sample	NOUN
ijassa-1308	121	13	1	1	NUM
ijassa-1308	121	14	,	,	PUNCT
ijassa-1308	121	15	sample	sample	NOUN
ijassa-1308	121	16	2	2	NUM
ijassa-1308	121	17	,	,	PUNCT
ijassa-1308	121	18	sample	sample	NOUN
ijassa-1308	121	19	3	3	NUM
ijassa-1308	121	20	,	,	PUNCT
ijassa-1308	121	21	and	and	CCONJ
ijassa-1308	121	22	sample	sample	NOUN
ijassa-1308	121	23	4	4	NUM
ijassa-1308	121	24	.	.	NOUN
ijassa-1308	121	25	2.3	2.3	NUM
ijassa-1308	121	26	.	.	PUNCT
ijassa-1308	122	1	synthetic	synthetic	PROPN
ijassa-1308	122	2	xct	xct	PROPN
ijassa-1308	122	3	algorithm	algorithm	PROPN
ijassa-1308	122	4	the	the	DET
ijassa-1308	122	5	synthetic	synthetic	ADJ
ijassa-1308	122	6	tomography	tomography	NOUN
ijassa-1308	122	7	algorithm	algorithm	NOUN
ijassa-1308	122	8	consists	consist	VERB
ijassa-1308	122	9	of	of	ADP
ijassa-1308	122	10	three	three	NUM
ijassa-1308	122	11	stages	stage	NOUN
ijassa-1308	122	12	:	:	PUNCT
ijassa-1308	122	13	1	1	X
ijassa-1308	122	14	.	.	X
ijassa-1308	122	15	construction	construction	NOUN
ijassa-1308	122	16	a	a	DET
ijassa-1308	122	17	sample	sample	NOUN
ijassa-1308	122	18	model	model	NOUN
ijassa-1308	122	19	based	base	VERB
ijassa-1308	122	20	on	on	ADP
ijassa-1308	122	21	physical	physical	ADJ
ijassa-1308	122	22	and	and	CCONJ
ijassa-1308	122	23	morphological	morphological	ADJ
ijassa-1308	122	24	information	information	NOUN
ijassa-1308	122	25	;	;	PUNCT
ijassa-1308	122	26	2	2	X
ijassa-1308	122	27	.	.	X
ijassa-1308	122	28	calculation	calculation	NOUN
ijassa-1308	122	29	of	of	ADP
ijassa-1308	122	30	shadow	shadow	NOUN
ijassa-1308	122	31	projections	projection	NOUN
ijassa-1308	122	32	;	;	PUNCT
ijassa-1308	122	33	3	3	X
ijassa-1308	122	34	.	.	X
ijassa-1308	122	35	reconstruction	reconstruction	NOUN
ijassa-1308	122	36	of	of	ADP
ijassa-1308	122	37	xct	xct	PROPN
ijassa-1308	122	38	image	image	NOUN
ijassa-1308	122	39	.	.	PUNCT
ijassa-1308	123	1	the	the	DET
ijassa-1308	123	2	first	first	ADJ
ijassa-1308	123	3	step	step	NOUN
ijassa-1308	123	4	is	be	AUX
ijassa-1308	123	5	required	require	VERB
ijassa-1308	123	6	to	to	PART
ijassa-1308	123	7	calculate	calculate	VERB
ijassa-1308	123	8	absorption	absorption	NOUN
ijassa-1308	123	9	for	for	ADP
ijassa-1308	123	10	each	each	DET
ijassa-1308	123	11	phase	phase	NOUN
ijassa-1308	123	12	independently	independently	ADV
ijassa-1308	123	13	(	(	PUNCT
ijassa-1308	123	14	2.1	2.1	NUM
ijassa-1308	123	15	)	)	PUNCT
ijassa-1308	123	16	using	use	VERB
ijassa-1308	123	17	the	the	DET
ijassa-1308	123	18	numerical	numerical	ADJ
ijassa-1308	123	19	direct	direct	ADJ
ijassa-1308	123	20	radon	radon	PROPN
ijassa-1308	123	21	transform	transform	NOUN
ijassa-1308	123	22	:	:	PUNCT
ijassa-1308	123	23	al	al	PROPN
ijassa-1308	123	24	m	m	PROPN
ijassa-1308	123	25	=	=	ADJ
ijassa-1308	124	1	σm	σm	X
ijassa-1308	124	2	∫	∫	NOUN
ijassa-1308	124	3	l	l	NOUN
ijassa-1308	124	4	ρm(l)dl	ρm(l)dl	PROPN
ijassa-1308	124	5	,	,	PUNCT
ijassa-1308	124	6	(	(	PUNCT
ijassa-1308	124	7	2.1	2.1	NUM
ijassa-1308	124	8	)	)	PUNCT
ijassa-1308	124	9	where	where	SCONJ
ijassa-1308	124	10	:	:	PUNCT
ijassa-1308	124	11	m	m	NOUN
ijassa-1308	124	12	phase	phase	NOUN
ijassa-1308	124	13	number	number	NOUN
ijassa-1308	124	14	;	;	PUNCT
ijassa-1308	124	15	l	l	NOUN
ijassa-1308	124	16	direction	direction	NOUN
ijassa-1308	124	17	to	to	PART
ijassa-1308	124	18	calculate	calculate	VERB
ijassa-1308	124	19	absorption	absorption	NOUN
ijassa-1308	124	20	;	;	PUNCT
ijassa-1308	124	21	σm	σm	ADP
ijassa-1308	124	22	attenuation	attenuation	NOUN
ijassa-1308	124	23	coefficient	coefficient	NOUN
ijassa-1308	124	24	of	of	ADP
ijassa-1308	124	25	phase	phase	NOUN
ijassa-1308	124	26	m	m	NOUN
ijassa-1308	124	27	material	material	NOUN
ijassa-1308	124	28	;	;	PUNCT
ijassa-1308	124	29	ρm	ρm	DET
ijassa-1308	124	30	linear	linear	ADJ
ijassa-1308	124	31	density	density	NOUN
ijassa-1308	124	32	of	of	ADP
ijassa-1308	124	33	phase	phase	NOUN
ijassa-1308	124	34	m	m	NOUN
ijassa-1308	124	35	material	material	NOUN
ijassa-1308	124	36	.	.	PUNCT
ijassa-1308	125	1	the	the	DET
ijassa-1308	125	2	total	total	ADJ
ijassa-1308	125	3	absorption	absorption	NOUN
ijassa-1308	125	4	(	(	PUNCT
ijassa-1308	125	5	2.2	2.2	NUM
ijassa-1308	125	6	)	)	PUNCT
ijassa-1308	125	7	is	be	AUX
ijassa-1308	125	8	calculated	calculate	VERB
ijassa-1308	125	9	as	as	ADP
ijassa-1308	125	10	the	the	DET
ijassa-1308	125	11	sum	sum	NOUN
ijassa-1308	125	12	of	of	ADP
ijassa-1308	125	13	the	the	DET
ijassa-1308	125	14	absorption	absorption	NOUN
ijassa-1308	125	15	of	of	ADP
ijassa-1308	125	16	all	all	DET
ijassa-1308	125	17	materials	material	NOUN
ijassa-1308	125	18	(	(	PUNCT
ijassa-1308	125	19	2.1	2.1	NUM
ijassa-1308	125	20	):	):	PUNCT
ijassa-1308	125	21	al	al	PROPN
ijassa-1308	125	22	=	=	PUNCT
ijassa-1308	125	23	∑	∑	PROPN
ijassa-1308	125	24	m	m	PROPN
ijassa-1308	125	25	al	al	PROPN
ijassa-1308	125	26	m.	m.	NOUN
ijassa-1308	125	27	(	(	PUNCT
ijassa-1308	125	28	2.2	2.2	NUM
ijassa-1308	125	29	)	)	PUNCT
ijassa-1308	125	30	directional	directional	ADJ
ijassa-1308	125	31	transmittance	transmittance	NOUN
ijassa-1308	125	32	(	(	PUNCT
ijassa-1308	125	33	2.3	2.3	NUM
ijassa-1308	125	34	)	)	PUNCT
ijassa-1308	125	35	is	be	AUX
ijassa-1308	125	36	calculated	calculate	VERB
ijassa-1308	125	37	using	use	VERB
ijassa-1308	125	38	total	total	ADJ
ijassa-1308	125	39	absorption	absorption	NOUN
ijassa-1308	125	40	(	(	PUNCT
ijassa-1308	125	41	2.1	2.1	NUM
ijassa-1308	125	42	)	)	PUNCT
ijassa-1308	125	43	according	accord	VERB
ijassa-1308	125	44	to	to	ADP
ijassa-1308	125	45	:	:	PUNCT
ijassa-1308	125	46	t	t	PROPN
ijassa-1308	125	47	l	l	NOUN
ijassa-1308	125	48	=	=	SYM
ijassa-1308	125	49	ea	ea	X
ijassa-1308	125	50	l	l	NOUN
ijassa-1308	125	51	.	.	PUNCT
ijassa-1308	126	1	(	(	PUNCT
ijassa-1308	126	2	2.3	2.3	NUM
ijassa-1308	126	3	)	)	PUNCT
ijassa-1308	126	4	further	far	ADV
ijassa-1308	126	5	,	,	PUNCT
ijassa-1308	126	6	to	to	PART
ijassa-1308	126	7	complete	complete	VERB
ijassa-1308	126	8	second	second	ADJ
ijassa-1308	126	9	step	step	NOUN
ijassa-1308	126	10	,	,	PUNCT
ijassa-1308	126	11	the	the	DET
ijassa-1308	126	12	shadow	shadow	NOUN
ijassa-1308	126	13	projection	projection	NOUN
ijassa-1308	126	14	for	for	ADP
ijassa-1308	126	15	each	each	DET
ijassa-1308	126	16	detector	detector	NOUN
ijassa-1308	126	17	pixel	pixel	NOUN
ijassa-1308	126	18	and	and	CCONJ
ijassa-1308	126	19	each	each	DET
ijassa-1308	126	20	rotation	rotation	NOUN
ijassa-1308	126	21	angle	angle	NOUN
ijassa-1308	126	22	of	of	ADP
ijassa-1308	126	23	the	the	DET
ijassa-1308	126	24	sample	sample	NOUN
ijassa-1308	126	25	(	(	PUNCT
ijassa-1308	126	26	which	which	PRON
ijassa-1308	126	27	are	be	AUX
ijassa-1308	126	28	set	set	VERB
ijassa-1308	126	29	by	by	ADP
ijassa-1308	126	30	the	the	DET
ijassa-1308	126	31	direction	direction	NOUN
ijassa-1308	126	32	l	l	NOUN
ijassa-1308	126	33	)	)	PUNCT
ijassa-1308	126	34	can	can	AUX
ijassa-1308	126	35	be	be	AUX
ijassa-1308	126	36	calculated	calculate	VERB
ijassa-1308	126	37	as	as	ADP
ijassa-1308	126	38	the	the	DET
ijassa-1308	126	39	number	number	NOUN
ijassa-1308	126	40	of	of	ADP
ijassa-1308	126	41	photons	photon	NOUN
ijassa-1308	126	42	that	that	PRON
ijassa-1308	126	43	reached	reach	VERB
ijassa-1308	126	44	the	the	DET
ijassa-1308	126	45	detector	detector	NOUN
ijassa-1308	126	46	through	through	ADP
ijassa-1308	126	47	the	the	DET
ijassa-1308	126	48	sample	sample	NOUN
ijassa-1308	126	49	.	.	PUNCT
ijassa-1308	127	1	the	the	DET
ijassa-1308	127	2	number	number	NOUN
ijassa-1308	127	3	of	of	ADP
ijassa-1308	127	4	photons	photon	NOUN
ijassa-1308	127	5	(	(	PUNCT
ijassa-1308	127	6	2.4	2.4	NUM
ijassa-1308	127	7	)	)	PUNCT
ijassa-1308	127	8	is	be	AUX
ijassa-1308	127	9	a	a	DET
ijassa-1308	127	10	random	random	ADJ
ijassa-1308	127	11	variable	variable	NOUN
ijassa-1308	127	12	with	with	ADP
ijassa-1308	127	13	a	a	DET
ijassa-1308	127	14	poisson	poisson	NOUN
ijassa-1308	127	15	distribution	distribution	NOUN
ijassa-1308	127	16	,	,	PUNCT
ijassa-1308	127	17	and	and	CCONJ
ijassa-1308	127	18	with	with	ADP
ijassa-1308	127	19	an	an	DET
ijassa-1308	127	20	average	average	ADJ
ijassa-1308	127	21	proportional	proportional	NOUN
ijassa-1308	127	22	to	to	ADP
ijassa-1308	127	23	the	the	DET
ijassa-1308	127	24	number	number	NOUN
ijassa-1308	127	25	of	of	ADP
ijassa-1308	127	26	photons	photon	NOUN
ijassa-1308	127	27	n0	n0	NUM
ijassa-1308	127	28	released	release	VERB
ijassa-1308	127	29	by	by	ADP
ijassa-1308	127	30	source	source	NOUN
ijassa-1308	127	31	,	,	PUNCT
ijassa-1308	127	32	and	and	CCONJ
ijassa-1308	127	33	the	the	DET
ijassa-1308	127	34	transmittance	transmittance	NOUN
ijassa-1308	127	35	in	in	ADP
ijassa-1308	127	36	a	a	DET
ijassa-1308	127	37	given	give	VERB
ijassa-1308	127	38	direction	direction	NOUN
ijassa-1308	127	39	:	:	PUNCT
ijassa-1308	127	40	n	n	DET
ijassa-1308	127	41	l	l	NOUN
ijassa-1308	127	42	∼	∼	NOUN
ijassa-1308	127	43	pois(n0	pois(n0	PROPN
ijassa-1308	127	44	t	t	PROPN
ijassa-1308	127	45	l	l	NOUN
ijassa-1308	127	46	)	)	PUNCT
ijassa-1308	127	47	.	.	PUNCT
ijassa-1308	128	1	(	(	PUNCT
ijassa-1308	128	2	2.4	2.4	NUM
ijassa-1308	128	3	)	)	PUNCT
ijassa-1308	128	4	next	next	ADJ
ijassa-1308	128	5	step	step	NOUN
ijassa-1308	128	6	is	be	AUX
ijassa-1308	128	7	to	to	PART
ijassa-1308	128	8	mathematically	mathematically	ADV
ijassa-1308	128	9	reconstruct	reconstruct	VERB
ijassa-1308	128	10	the	the	DET
ijassa-1308	128	11	image	image	NOUN
ijassa-1308	128	12	from	from	ADP
ijassa-1308	128	13	projections	projection	NOUN
ijassa-1308	128	14	.	.	PUNCT
ijassa-1308	129	1	this	this	PRON
ijassa-1308	129	2	can	can	AUX
ijassa-1308	129	3	be	be	AUX
ijassa-1308	129	4	done	do	VERB
ijassa-1308	129	5	using	use	VERB
ijassa-1308	129	6	the	the	DET
ijassa-1308	129	7	numerical	numerical	ADJ
ijassa-1308	129	8	inverse	inverse	PROPN
ijassa-1308	129	9	radon	radon	PROPN
ijassa-1308	129	10	transform	transform	NOUN
ijassa-1308	129	11	.	.	PUNCT
ijassa-1308	130	1	synthetic	synthetic	ADJ
ijassa-1308	130	2	tomography	tomography	NOUN
ijassa-1308	130	3	was	be	AUX
ijassa-1308	130	4	implemented	implement	VERB
ijassa-1308	130	5	copyright	copyright	NOUN
ijassa-1308	130	6	©	©	ADP
ijassa-1308	130	7	2022	2022	NUM
ijassa-1308	130	8	assa	assa	NOUN
ijassa-1308	130	9	.	.	PUNCT
ijassa-1308	131	1	adv	adv	PROPN
ijassa-1308	131	2	syst	syst	PROPN
ijassa-1308	131	3	sci	sci	PROPN
ijassa-1308	131	4	appl	appl	PROPN
ijassa-1308	131	5	(	(	PUNCT
ijassa-1308	131	6	2022	2022	NUM
ijassa-1308	131	7	)	)	PUNCT
ijassa-1308	131	8	the	the	DET
ijassa-1308	131	9	influence	influence	NOUN
ijassa-1308	131	10	of	of	ADP
ijassa-1308	131	11	image	image	NOUN
ijassa-1308	131	12	morphology	morphology	NOUN
ijassa-1308	131	13	...	...	PUNCT
ijassa-1308	131	14	37	37	NUM
ijassa-1308	131	15	sample	sample	NOUN
ijassa-1308	131	16	1	1	NUM
ijassa-1308	131	17	sample	sample	NOUN
ijassa-1308	131	18	2	2	NUM
ijassa-1308	131	19	sample	sample	NOUN
ijassa-1308	131	20	3	3	NUM
ijassa-1308	131	21	sample	sample	NOUN
ijassa-1308	131	22	4	4	NUM
ijassa-1308	131	23	fig	fig	NOUN
ijassa-1308	131	24	.	.	PUNCT
ijassa-1308	132	1	2.4	2.4	NUM
ijassa-1308	132	2	.	.	PUNCT
ijassa-1308	132	3	example	example	NOUN
ijassa-1308	132	4	2d	2d	NUM
ijassa-1308	132	5	slices	slice	NOUN
ijassa-1308	132	6	from	from	ADP
ijassa-1308	132	7	obtained	obtain	VERB
ijassa-1308	132	8	3d	3d	NUM
ijassa-1308	132	9	stochastic	stochastic	ADJ
ijassa-1308	132	10	reconstructions	reconstruction	NOUN
ijassa-1308	132	11	.	.	PUNCT
ijassa-1308	133	1	in	in	ADP
ijassa-1308	133	2	python	python	NOUN
ijassa-1308	133	3	with	with	ADP
ijassa-1308	133	4	the	the	DET
ijassa-1308	133	5	help	help	NOUN
ijassa-1308	133	6	of	of	ADP
ijassa-1308	133	7	astra	astra	PROPN
ijassa-1308	133	8	toolbox	toolbox	NOUN
ijassa-1308	133	9	[	[	X
ijassa-1308	133	10	1	1	NUM
ijassa-1308	133	11	]	]	PUNCT
ijassa-1308	133	12	,	,	PUNCT
ijassa-1308	133	13	that	that	PRON
ijassa-1308	133	14	includes	include	VERB
ijassa-1308	133	15	forward	forward	ADV
ijassa-1308	133	16	and	and	CCONJ
ijassa-1308	133	17	backward	backward	ADJ
ijassa-1308	133	18	radon	radon	NOUN
ijassa-1308	133	19	transform	transform	NOUN
ijassa-1308	133	20	.	.	PUNCT
ijassa-1308	134	1	at	at	ADP
ijassa-1308	134	2	this	this	DET
ijassa-1308	134	3	point	point	NOUN
ijassa-1308	134	4	we	we	PRON
ijassa-1308	134	5	have	have	VERB
ijassa-1308	134	6	the	the	DET
ijassa-1308	134	7	ground	ground	NOUN
ijassa-1308	134	8	-	-	PUNCT
ijassa-1308	134	9	truth	truth	NOUN
ijassa-1308	134	10	original	original	ADJ
ijassa-1308	134	11	phase	phase	NOUN
ijassa-1308	134	12	distribution	distribution	NOUN
ijassa-1308	134	13	and	and	CCONJ
ijassa-1308	134	14	its	its	PRON
ijassa-1308	134	15	synthetic	synthetic	NOUN
ijassa-1308	134	16	xct	xct	PROPN
ijassa-1308	134	17	3d	3d	PROPN
ijassa-1308	134	18	grayscale	grayscale	NOUN
ijassa-1308	134	19	image	image	NOUN
ijassa-1308	134	20	.	.	PUNCT
ijassa-1308	135	1	moreover	moreover	ADV
ijassa-1308	135	2	,	,	PUNCT
ijassa-1308	135	3	during	during	ADP
ijassa-1308	135	4	projections	projection	NOUN
ijassa-1308	135	5	simulation	simulation	NOUN
ijassa-1308	135	6	and	and	CCONJ
ijassa-1308	135	7	reconstruction	reconstruction	NOUN
ijassa-1308	135	8	procedures	procedure	NOUN
ijassa-1308	135	9	we	we	PRON
ijassa-1308	135	10	can	can	AUX
ijassa-1308	135	11	apply	apply	VERB
ijassa-1308	135	12	any	any	DET
ijassa-1308	135	13	software	software	NOUN
ijassa-1308	135	14	/	/	SYM
ijassa-1308	135	15	hardware	hardware	NOUN
ijassa-1308	135	16	setups	setup	NOUN
ijassa-1308	135	17	and	and	CCONJ
ijassa-1308	135	18	parameters	parameter	NOUN
ijassa-1308	135	19	,	,	PUNCT
ijassa-1308	135	20	including	include	VERB
ijassa-1308	135	21	noise	noise	NOUN
ijassa-1308	135	22	addition	addition	NOUN
ijassa-1308	135	23	and	and	CCONJ
ijassa-1308	135	24	specified	specify	VERB
ijassa-1308	135	25	scanning	scanning	NOUN
ijassa-1308	135	26	resolution	resolution	NOUN
ijassa-1308	135	27	.	.	PUNCT
ijassa-1308	136	1	2.4	2.4	NUM
ijassa-1308	136	2	.	.	PUNCT
ijassa-1308	137	1	stochastic	stochastic	ADJ
ijassa-1308	137	2	reconstruction	reconstruction	NOUN
ijassa-1308	137	3	algorithm	algorithm	NOUN
ijassa-1308	137	4	stochastic	stochastic	NOUN
ijassa-1308	137	5	reconstruction	reconstruction	NOUN
ijassa-1308	137	6	is	be	AUX
ijassa-1308	137	7	an	an	DET
ijassa-1308	137	8	algorithm	algorithm	NOUN
ijassa-1308	137	9	that	that	PRON
ijassa-1308	137	10	iteratively	iteratively	ADV
ijassa-1308	137	11	performs	perform	VERB
ijassa-1308	137	12	permutations	permutation	NOUN
ijassa-1308	137	13	of	of	ADP
ijassa-1308	137	14	voxels	voxel	NOUN
ijassa-1308	137	15	within	within	ADP
ijassa-1308	137	16	an	an	DET
ijassa-1308	137	17	image	image	NOUN
ijassa-1308	137	18	,	,	PUNCT
ijassa-1308	137	19	trying	try	VERB
ijassa-1308	137	20	to	to	PART
ijassa-1308	137	21	match	match	VERB
ijassa-1308	137	22	its	its	PRON
ijassa-1308	137	23	statistical	statistical	ADJ
ijassa-1308	137	24	properties	property	NOUN
ijassa-1308	137	25	to	to	ADP
ijassa-1308	137	26	the	the	DET
ijassa-1308	137	27	original	original	ADJ
ijassa-1308	137	28	(	(	PUNCT
ijassa-1308	137	29	or	or	CCONJ
ijassa-1308	137	30	training	training	NOUN
ijassa-1308	137	31	)	)	PUNCT
ijassa-1308	137	32	image	image	NOUN
ijassa-1308	137	33	.	.	PUNCT
ijassa-1308	138	1	as	as	ADP
ijassa-1308	138	2	input	input	NOUN
ijassa-1308	138	3	data	datum	NOUN
ijassa-1308	138	4	,	,	PUNCT
ijassa-1308	138	5	the	the	DET
ijassa-1308	138	6	stochastic	stochastic	ADJ
ijassa-1308	138	7	reconstruction	reconstruction	NOUN
ijassa-1308	138	8	algorithm	algorithm	NOUN
ijassa-1308	138	9	receives	receive	VERB
ijassa-1308	138	10	the	the	DET
ijassa-1308	138	11	calculated	calculated	ADJ
ijassa-1308	138	12	values	value	NOUN
ijassa-1308	138	13	of	of	ADP
ijassa-1308	138	14	a	a	DET
ijassa-1308	138	15	set	set	NOUN
ijassa-1308	138	16	of	of	ADP
ijassa-1308	138	17	two	two	NUM
ijassa-1308	138	18	-	-	PUNCT
ijassa-1308	138	19	point	point	NOUN
ijassa-1308	138	20	correlation	correlation	NOUN
ijassa-1308	138	21	functions	function	NOUN
ijassa-1308	138	22	(	(	PUNCT
ijassa-1308	138	23	here	here	ADV
ijassa-1308	138	24	:	:	PUNCT
ijassa-1308	138	25	s2	s2	NOUN
ijassa-1308	138	26	,	,	PUNCT
ijassa-1308	138	27	l2	l2	NOUN
ijassa-1308	138	28	,	,	PUNCT
ijassa-1308	138	29	fss	fss	ADJ
ijassa-1308	138	30	)	)	PUNCT
ijassa-1308	138	31	in	in	ADP
ijassa-1308	138	32	orthogonal	orthogonal	ADJ
ijassa-1308	138	33	and	and	CCONJ
ijassa-1308	138	34	diagonal	diagonal	ADJ
ijassa-1308	138	35	directions	direction	NOUN
ijassa-1308	138	36	for	for	ADP
ijassa-1308	138	37	a	a	DET
ijassa-1308	138	38	range	range	NOUN
ijassa-1308	138	39	of	of	ADP
ijassa-1308	138	40	correlation	correlation	NOUN
ijassa-1308	138	41	lengths	length	NOUN
ijassa-1308	138	42	r.	r.	VERB
ijassa-1308	138	43	each	each	DET
ijassa-1308	138	44	correlation	correlation	NOUN
ijassa-1308	138	45	function	function	NOUN
ijassa-1308	138	46	measures	measure	VERB
ijassa-1308	138	47	a	a	DET
ijassa-1308	138	48	probability	probability	NOUN
ijassa-1308	138	49	of	of	ADP
ijassa-1308	138	50	some	some	DET
ijassa-1308	138	51	event	event	NOUN
ijassa-1308	138	52	for	for	ADP
ijassa-1308	138	53	a	a	DET
ijassa-1308	138	54	given	give	VERB
ijassa-1308	138	55	correlation	correlation	NOUN
ijassa-1308	138	56	length	length	NOUN
ijassa-1308	138	57	r.	r.	PROPN
ijassa-1308	138	58	specifically	specifically	ADV
ijassa-1308	138	59	,	,	PUNCT
ijassa-1308	138	60	s2	s2	NOUN
ijassa-1308	138	61	measures	measure	VERB
ijassa-1308	138	62	the	the	DET
ijassa-1308	138	63	probability	probability	NOUN
ijassa-1308	138	64	that	that	SCONJ
ijassa-1308	138	65	both	both	DET
ijassa-1308	138	66	ends	end	VERB
ijassa-1308	138	67	of	of	ADP
ijassa-1308	138	68	the	the	DET
ijassa-1308	138	69	r	r	NOUN
ijassa-1308	138	70	line	line	NOUN
ijassa-1308	138	71	segment	segment	NOUN
ijassa-1308	138	72	lie	lie	VERB
ijassa-1308	138	73	within	within	ADP
ijassa-1308	138	74	the	the	DET
ijassa-1308	138	75	pore	pore	ADJ
ijassa-1308	138	76	phase	phase	NOUN
ijassa-1308	138	77	,	,	PUNCT
ijassa-1308	138	78	l2	l2	NOUN
ijassa-1308	138	79	–	–	PUNCT
ijassa-1308	138	80	the	the	DET
ijassa-1308	138	81	probability	probability	NOUN
ijassa-1308	138	82	that	that	SCONJ
ijassa-1308	138	83	the	the	DET
ijassa-1308	138	84	whole	whole	ADJ
ijassa-1308	138	85	segment	segment	NOUN
ijassa-1308	138	86	lies	lie	VERB
ijassa-1308	138	87	within	within	ADP
ijassa-1308	138	88	the	the	DET
ijassa-1308	138	89	pore	pore	ADJ
ijassa-1308	138	90	space	space	NOUN
ijassa-1308	138	91	,	,	PUNCT
ijassa-1308	138	92	and	and	CCONJ
ijassa-1308	138	93	fss	fss	ADJ
ijassa-1308	138	94	–	–	PUNCT
ijassa-1308	138	95	that	that	PRON
ijassa-1308	138	96	both	both	PRON
ijassa-1308	138	97	ends	end	VERB
ijassa-1308	138	98	fall	fall	VERB
ijassa-1308	138	99	into	into	ADP
ijassa-1308	138	100	a	a	DET
ijassa-1308	138	101	pore	pore	ADJ
ijassa-1308	138	102	-	-	PUNCT
ijassa-1308	138	103	solid	solid	ADJ
ijassa-1308	138	104	interface	interface	NOUN
ijassa-1308	138	105	.	.	PUNCT
ijassa-1308	139	1	comprehensive	comprehensive	ADJ
ijassa-1308	139	2	information	information	NOUN
ijassa-1308	139	3	about	about	ADP
ijassa-1308	139	4	correlation	correlation	NOUN
ijassa-1308	139	5	functions	function	NOUN
ijassa-1308	139	6	can	can	AUX
ijassa-1308	139	7	be	be	AUX
ijassa-1308	139	8	found	find	VERB
ijassa-1308	139	9	in	in	ADP
ijassa-1308	139	10	[	[	X
ijassa-1308	139	11	64	64	NUM
ijassa-1308	139	12	]	]	PUNCT
ijassa-1308	139	13	.	.	PUNCT
ijassa-1308	140	1	the	the	DET
ijassa-1308	140	2	reconstruction	reconstruction	NOUN
ijassa-1308	140	3	algorithm	algorithm	NOUN
ijassa-1308	140	4	starts	start	VERB
ijassa-1308	140	5	with	with	ADP
ijassa-1308	140	6	mono	mono	NOUN
ijassa-1308	140	7	-	-	PUNCT
ijassa-1308	140	8	disperse	disperse	NOUN
ijassa-1308	140	9	sphere	sphere	NOUN
ijassa-1308	140	10	packing	pack	VERB
ijassa-1308	140	11	with	with	ADP
ijassa-1308	140	12	similar	similar	ADJ
ijassa-1308	140	13	porosity	porosity	NOUN
ijassa-1308	140	14	and	and	CCONJ
ijassa-1308	140	15	close	close	ADJ
ijassa-1308	140	16	s2	s2	NOUN
ijassa-1308	140	17	correlation	correlation	NOUN
ijassa-1308	140	18	function	function	NOUN
ijassa-1308	140	19	.	.	PUNCT
ijassa-1308	141	1	the	the	DET
ijassa-1308	141	2	porosity	porosity	NOUN
ijassa-1308	141	3	is	be	AUX
ijassa-1308	141	4	known	know	VERB
ijassa-1308	141	5	from	from	ADP
ijassa-1308	141	6	s2(0	s2(0	PROPN
ijassa-1308	141	7	)	)	PUNCT
ijassa-1308	141	8	or	or	CCONJ
ijassa-1308	141	9	l2(0	l2(0	NOUN
ijassa-1308	141	10	)	)	PUNCT
ijassa-1308	141	11	value	value	NOUN
ijassa-1308	141	12	.	.	PUNCT
ijassa-1308	142	1	with	with	ADP
ijassa-1308	142	2	each	each	DET
ijassa-1308	142	3	iteration	iteration	NOUN
ijassa-1308	142	4	,	,	PUNCT
ijassa-1308	142	5	the	the	DET
ijassa-1308	142	6	algorithm	algorithm	NOUN
ijassa-1308	142	7	swaps	swap	VERB
ijassa-1308	142	8	two	two	NUM
ijassa-1308	142	9	voxels	voxel	NOUN
ijassa-1308	142	10	of	of	ADP
ijassa-1308	142	11	an	an	DET
ijassa-1308	142	12	image	image	NOUN
ijassa-1308	142	13	to	to	PART
ijassa-1308	142	14	minimizes	minimize	VERB
ijassa-1308	142	15	a	a	DET
ijassa-1308	142	16	special	special	ADJ
ijassa-1308	142	17	energy	energy	NOUN
ijassa-1308	142	18	function	function	NOUN
ijassa-1308	142	19	(	(	PUNCT
ijassa-1308	142	20	2.5	2.5	NUM
ijassa-1308	142	21	)	)	PUNCT
ijassa-1308	142	22	,	,	PUNCT
ijassa-1308	142	23	which	which	PRON
ijassa-1308	142	24	is	be	AUX
ijassa-1308	142	25	calculated	calculate	VERB
ijassa-1308	142	26	from	from	ADP
ijassa-1308	142	27	the	the	DET
ijassa-1308	142	28	difference	difference	NOUN
ijassa-1308	142	29	between	between	ADP
ijassa-1308	142	30	the	the	DET
ijassa-1308	142	31	current	current	ADJ
ijassa-1308	142	32	values	value	NOUN
ijassa-1308	142	33	of	of	ADP
ijassa-1308	142	34	the	the	DET
ijassa-1308	142	35	image	image	NOUN
ijassa-1308	142	36	’s	’s	PART
ijassa-1308	142	37	correlation	correlation	NOUN
ijassa-1308	142	38	functions	function	NOUN
ijassa-1308	142	39	f	f	PROPN
ijassa-1308	142	40	and	and	CCONJ
ijassa-1308	142	41	the	the	DET
ijassa-1308	142	42	specified	specify	VERB
ijassa-1308	142	43	correlation	correlation	NOUN
ijassa-1308	142	44	functions	function	NOUN
ijassa-1308	142	45	values	value	NOUN
ijassa-1308	142	46	f̂	f̂	PROPN
ijassa-1308	142	47	summed	sum	VERB
ijassa-1308	142	48	over	over	ADP
ijassa-1308	142	49	all	all	DET
ijassa-1308	142	50	correlation	correlation	NOUN
ijassa-1308	142	51	lengths	length	NOUN
ijassa-1308	142	52	r	r	NOUN
ijassa-1308	142	53	:	:	PUNCT
ijassa-1308	142	54	e(i	e(i	PROPN
ijassa-1308	142	55	)	)	PUNCT
ijassa-1308	142	56	=	=	PUNCT
ijassa-1308	143	1	∑	∑	PUNCT
ijassa-1308	143	2	f	f	X
ijassa-1308	143	3	∑	∑	PROPN
ijassa-1308	143	4	r	r	NOUN
ijassa-1308	143	5	(	(	PUNCT
ijassa-1308	143	6	f(r)−	f(r)−	PROPN
ijassa-1308	143	7	f̂(r	f̂(r	NOUN
ijassa-1308	143	8	)	)	PUNCT
ijassa-1308	143	9	)	)	PUNCT
ijassa-1308	143	10	2	2	NUM
ijassa-1308	143	11	−→	−→	NOUN
ijassa-1308	143	12	min	min	NOUN
ijassa-1308	143	13	.	.	PUNCT
ijassa-1308	144	1	(	(	PUNCT
ijassa-1308	144	2	2.5	2.5	NUM
ijassa-1308	144	3	)	)	PUNCT
ijassa-1308	144	4	the	the	DET
ijassa-1308	144	5	energy	energy	NOUN
ijassa-1308	144	6	function	function	NOUN
ijassa-1308	144	7	is	be	AUX
ijassa-1308	144	8	minimized	minimize	VERB
ijassa-1308	144	9	using	use	VERB
ijassa-1308	144	10	the	the	DET
ijassa-1308	144	11	simulation	simulation	NOUN
ijassa-1308	144	12	annealing	anneal	VERB
ijassa-1308	144	13	algorithm	algorithm	NOUN
ijassa-1308	144	14	.	.	PUNCT
ijassa-1308	145	1	the	the	DET
ijassa-1308	145	2	algorithm	algorithm	NOUN
ijassa-1308	145	3	stops	stop	VERB
ijassa-1308	145	4	after	after	ADP
ijassa-1308	145	5	minimizing	minimize	VERB
ijassa-1308	145	6	the	the	DET
ijassa-1308	145	7	error	error	NOUN
ijassa-1308	145	8	close	close	ADJ
ijassa-1308	145	9	to	to	ADP
ijassa-1308	145	10	zero	zero	NUM
ijassa-1308	145	11	,	,	PUNCT
ijassa-1308	145	12	or	or	CCONJ
ijassa-1308	145	13	after	after	ADP
ijassa-1308	145	14	a	a	DET
ijassa-1308	145	15	large	large	ADJ
ijassa-1308	145	16	number	number	NOUN
ijassa-1308	145	17	of	of	ADP
ijassa-1308	145	18	consecutive	consecutive	ADJ
ijassa-1308	145	19	unsuccessful	unsuccessful	ADJ
ijassa-1308	145	20	attempts	attempt	NOUN
ijassa-1308	145	21	.	.	PUNCT
ijassa-1308	146	1	during	during	ADP
ijassa-1308	146	2	annealing	anneal	VERB
ijassa-1308	146	3	we	we	PRON
ijassa-1308	146	4	saved	save	VERB
ijassa-1308	146	5	the	the	DET
ijassa-1308	146	6	structure	structure	NOUN
ijassa-1308	146	7	dynamics	dynamic	NOUN
ijassa-1308	146	8	after	after	SCONJ
ijassa-1308	146	9	some	some	DET
ijassa-1308	146	10	particular	particular	ADJ
ijassa-1308	146	11	number	number	NOUN
ijassa-1308	146	12	of	of	ADP
ijassa-1308	146	13	permutations	permutation	NOUN
ijassa-1308	146	14	attempts	attempt	VERB
ijassa-1308	146	15	–	–	PUNCT
ijassa-1308	146	16	after	after	ADP
ijassa-1308	146	17	1	1	NUM
ijassa-1308	146	18	,	,	PUNCT
ijassa-1308	146	19	4	4	NUM
ijassa-1308	146	20	,	,	PUNCT
ijassa-1308	146	21	16	16	NUM
ijassa-1308	146	22	and	and	CCONJ
ijassa-1308	146	23	64	64	NUM
ijassa-1308	146	24	×104	×104	NOUN
ijassa-1308	146	25	iterations	iteration	NOUN
ijassa-1308	146	26	.	.	PUNCT
ijassa-1308	147	1	a	a	DET
ijassa-1308	147	2	more	more	ADV
ijassa-1308	147	3	detailed	detailed	ADJ
ijassa-1308	147	4	description	description	NOUN
ijassa-1308	147	5	of	of	ADP
ijassa-1308	147	6	this	this	DET
ijassa-1308	147	7	algorithm	algorithm	NOUN
ijassa-1308	147	8	can	can	AUX
ijassa-1308	147	9	be	be	AUX
ijassa-1308	147	10	found	find	VERB
ijassa-1308	147	11	in	in	ADP
ijassa-1308	147	12	[	[	X
ijassa-1308	147	13	23	23	NUM
ijassa-1308	147	14	,	,	PUNCT
ijassa-1308	147	15	26	26	NUM
ijassa-1308	147	16	]	]	PUNCT
ijassa-1308	147	17	.	.	PUNCT
ijassa-1308	148	1	stochastic	stochastic	ADJ
ijassa-1308	148	2	replicas	replica	NOUN
ijassa-1308	148	3	were	be	AUX
ijassa-1308	148	4	also	also	ADV
ijassa-1308	148	5	used	use	VERB
ijassa-1308	148	6	as	as	ADP
ijassa-1308	148	7	input	input	NOUN
ijassa-1308	148	8	for	for	ADP
ijassa-1308	148	9	synthetic	synthetic	ADJ
ijassa-1308	148	10	xct	xct	PROPN
ijassa-1308	148	11	3d	3d	PROPN
ijassa-1308	148	12	images	image	NOUN
ijassa-1308	148	13	generation	generation	NOUN
ijassa-1308	148	14	,	,	PUNCT
ijassa-1308	148	15	see	see	VERB
ijassa-1308	148	16	examples	example	NOUN
ijassa-1308	148	17	on	on	ADP
ijassa-1308	148	18	fig.2.4	fig.2.4	NOUN
ijassa-1308	148	19	.	.	PUNCT
ijassa-1308	149	1	2.5	2.5	NUM
ijassa-1308	149	2	.	.	PUNCT
ijassa-1308	150	1	image	image	NOUN
ijassa-1308	150	2	preparation	preparation	NOUN
ijassa-1308	150	3	for	for	ADP
ijassa-1308	150	4	cnn	cnn	PROPN
ijassa-1308	150	5	segmentation	segmentation	PROPN
ijassa-1308	150	6	cnn	cnn	PROPN
ijassa-1308	150	7	has	have	VERB
ijassa-1308	150	8	a	a	DET
ijassa-1308	150	9	supervised	supervised	ADJ
ijassa-1308	150	10	learning	learning	NOUN
ijassa-1308	150	11	architecture	architecture	NOUN
ijassa-1308	150	12	.	.	PUNCT
ijassa-1308	151	1	this	this	PRON
ijassa-1308	151	2	means	mean	VERB
ijassa-1308	151	3	that	that	SCONJ
ijassa-1308	151	4	to	to	PART
ijassa-1308	151	5	train	train	VERB
ijassa-1308	151	6	the	the	DET
ijassa-1308	151	7	network	network	NOUN
ijassa-1308	151	8	we	we	PRON
ijassa-1308	151	9	need	need	VERB
ijassa-1308	151	10	a	a	DET
ijassa-1308	151	11	pair	pair	NOUN
ijassa-1308	151	12	of	of	ADP
ijassa-1308	151	13	samples	sample	NOUN
ijassa-1308	151	14	,	,	PUNCT
ijassa-1308	151	15	i.e.	i.e.	X
ijassa-1308	151	16	,	,	PUNCT
ijassa-1308	151	17	the	the	DET
ijassa-1308	151	18	input	input	NOUN
ijassa-1308	151	19	examples	example	NOUN
ijassa-1308	151	20	and	and	CCONJ
ijassa-1308	151	21	desired	desire	VERB
ijassa-1308	151	22	segmentation	segmentation	NOUN
ijassa-1308	151	23	for	for	ADP
ijassa-1308	151	24	each	each	DET
ijassa-1308	151	25	such	such	ADJ
ijassa-1308	151	26	image	image	NOUN
ijassa-1308	151	27	.	.	PUNCT
ijassa-1308	152	1	here	here	ADV
ijassa-1308	152	2	we	we	PRON
ijassa-1308	152	3	describe	describe	VERB
ijassa-1308	152	4	the	the	DET
ijassa-1308	152	5	way	way	NOUN
ijassa-1308	152	6	the	the	DET
ijassa-1308	152	7	images	image	NOUN
ijassa-1308	152	8	to	to	PART
ijassa-1308	152	9	be	be	AUX
ijassa-1308	152	10	fed	feed	VERB
ijassa-1308	152	11	into	into	ADP
ijassa-1308	152	12	the	the	DET
ijassa-1308	152	13	network	network	NOUN
ijassa-1308	152	14	have	have	AUX
ijassa-1308	152	15	been	be	AUX
ijassa-1308	152	16	prepared	prepare	VERB
ijassa-1308	152	17	for	for	ADP
ijassa-1308	152	18	the	the	DET
ijassa-1308	152	19	segmentation	segmentation	NOUN
ijassa-1308	152	20	experiments	experiment	NOUN
ijassa-1308	152	21	.	.	PUNCT
ijassa-1308	153	1	copyright	copyright	NOUN
ijassa-1308	153	2	©	©	PROPN
ijassa-1308	153	3	2022	2022	NUM
ijassa-1308	153	4	assa	assa	NOUN
ijassa-1308	153	5	.	.	PUNCT
ijassa-1308	154	1	adv	adv	PROPN
ijassa-1308	154	2	syst	syst	PROPN
ijassa-1308	154	3	sci	sci	PROPN
ijassa-1308	154	4	appl	appl	PROPN
ijassa-1308	154	5	(	(	PUNCT
ijassa-1308	154	6	2022	2022	NUM
ijassa-1308	154	7	)	)	PUNCT
ijassa-1308	154	8	38	38	NUM
ijassa-1308	154	9	efim	efim	NOUN
ijassa-1308	154	10	v.	v.	ADP
ijassa-1308	154	11	lavrukhin	lavrukhin	NOUN
ijassa-1308	154	12	,	,	PUNCT
ijassa-1308	154	13	vasily	vasily	NOUN
ijassa-1308	154	14	postnicov	postnicov	NOUN
ijassa-1308	154	15	,	,	PUNCT
ijassa-1308	154	16	kirill	kirill	PROPN
ijassa-1308	154	17	m.	m.	PROPN
ijassa-1308	154	18	gerke	gerke	PROPN
ijassa-1308	154	19	we	we	PRON
ijassa-1308	154	20	refer	refer	VERB
ijassa-1308	154	21	to	to	ADP
ijassa-1308	154	22	each	each	DET
ijassa-1308	154	23	3d	3d	NUM
ijassa-1308	154	24	volume	volume	NOUN
ijassa-1308	154	25	of	of	ADP
ijassa-1308	154	26	synthetic	synthetic	NOUN
ijassa-1308	154	27	xct	xct	PROPN
ijassa-1308	154	28	as	as	ADP
ijassa-1308	154	29	a	a	DET
ijassa-1308	154	30	stack	stack	NOUN
ijassa-1308	154	31	.	.	PUNCT
ijassa-1308	155	1	there	there	PRON
ijassa-1308	155	2	are	be	VERB
ijassa-1308	155	3	200	200	NUM
ijassa-1308	155	4	images	image	NOUN
ijassa-1308	155	5	with	with	ADP
ijassa-1308	155	6	resolution	resolution	NOUN
ijassa-1308	155	7	200×	200×	NOUN
ijassa-1308	155	8	200	200	NUM
ijassa-1308	155	9	pixels	pixel	NOUN
ijassa-1308	155	10	within	within	ADP
ijassa-1308	155	11	each	each	DET
ijassa-1308	155	12	such	such	ADJ
ijassa-1308	155	13	stack	stack	NOUN
ijassa-1308	155	14	.	.	PUNCT
ijassa-1308	156	1	we	we	PRON
ijassa-1308	156	2	consider	consider	VERB
ijassa-1308	156	3	each	each	DET
ijassa-1308	156	4	image	image	NOUN
ijassa-1308	156	5	of	of	ADP
ijassa-1308	156	6	resolution	resolution	NOUN
ijassa-1308	156	7	200×	200×	PROPN
ijassa-1308	156	8	200	200	NUM
ijassa-1308	156	9	taken	take	VERB
ijassa-1308	156	10	in	in	ADP
ijassa-1308	156	11	parallel	parallel	NOUN
ijassa-1308	156	12	to	to	ADP
ijassa-1308	156	13	the	the	DET
ijassa-1308	156	14	same	same	ADJ
ijassa-1308	156	15	plane	plane	NOUN
ijassa-1308	156	16	as	as	ADP
ijassa-1308	156	17	a	a	DET
ijassa-1308	156	18	single	single	ADJ
ijassa-1308	156	19	independent	independent	ADJ
ijassa-1308	156	20	image	image	NOUN
ijassa-1308	156	21	,	,	PUNCT
ijassa-1308	156	22	i.e.	i.e.	X
ijassa-1308	156	23	,	,	PUNCT
ijassa-1308	156	24	no	no	DET
ijassa-1308	156	25	3d	3d	NOUN
ijassa-1308	156	26	spatial	spatial	ADJ
ijassa-1308	156	27	information	information	NOUN
ijassa-1308	156	28	about	about	ADP
ijassa-1308	156	29	image	image	NOUN
ijassa-1308	156	30	location	location	NOUN
ijassa-1308	156	31	in	in	ADP
ijassa-1308	156	32	the	the	DET
ijassa-1308	156	33	stack	stack	NOUN
ijassa-1308	156	34	is	be	AUX
ijassa-1308	156	35	provided	provide	VERB
ijassa-1308	156	36	to	to	ADP
ijassa-1308	156	37	cnn	cnn	PROPN
ijassa-1308	156	38	.	.	PUNCT
ijassa-1308	157	1	fig	fig	NOUN
ijassa-1308	157	2	.	.	PUNCT
ijassa-1308	158	1	2.5	2.5	NUM
ijassa-1308	158	2	.	.	PUNCT
ijassa-1308	159	1	preparation	preparation	NOUN
ijassa-1308	159	2	of	of	ADP
ijassa-1308	159	3	the	the	DET
ijassa-1308	159	4	network	network	NOUN
ijassa-1308	159	5	inputs	input	NOUN
ijassa-1308	159	6	:	:	PUNCT
ijassa-1308	159	7	convert	convert	VERB
ijassa-1308	159	8	stack	stack	NOUN
ijassa-1308	159	9	image	image	NOUN
ijassa-1308	159	10	into	into	ADP
ijassa-1308	159	11	image	image	NOUN
ijassa-1308	159	12	samples	sample	NOUN
ijassa-1308	159	13	.	.	PUNCT
ijassa-1308	160	1	next	next	ADV
ijassa-1308	160	2	,	,	PUNCT
ijassa-1308	160	3	we	we	PRON
ijassa-1308	160	4	collect	collect	VERB
ijassa-1308	160	5	a	a	DET
ijassa-1308	160	6	pool	pool	NOUN
ijassa-1308	160	7	of	of	ADP
ijassa-1308	160	8	n	n	NOUN
ijassa-1308	160	9	=	=	SYM
ijassa-1308	160	10	32	32	NUM
ijassa-1308	160	11	samples	sample	NOUN
ijassa-1308	160	12	of	of	ADP
ijassa-1308	160	13	128×	128×	NUM
ijassa-1308	160	14	128	128	NUM
ijassa-1308	160	15	pixels	pixel	NOUN
ijassa-1308	160	16	from	from	ADP
ijassa-1308	160	17	each	each	DET
ijassa-1308	160	18	image	image	NOUN
ijassa-1308	160	19	with	with	ADP
ijassa-1308	160	20	minimal	minimal	ADJ
ijassa-1308	160	21	overlapping	overlapping	NOUN
ijassa-1308	160	22	.	.	PUNCT
ijassa-1308	161	1	this	this	DET
ijassa-1308	161	2	procedure	procedure	NOUN
ijassa-1308	161	3	is	be	AUX
ijassa-1308	161	4	explained	explain	VERB
ijassa-1308	161	5	in	in	ADP
ijassa-1308	161	6	detail	detail	NOUN
ijassa-1308	161	7	on	on	ADP
ijassa-1308	161	8	fig	fig	NOUN
ijassa-1308	161	9	.	.	PUNCT
ijassa-1308	162	1	2.5	2.5	NUM
ijassa-1308	162	2	.	.	PUNCT
ijassa-1308	163	1	the	the	DET
ijassa-1308	163	2	pixel	pixel	PROPN
ijassa-1308	163	3	intensity	intensity	NOUN
ijassa-1308	163	4	within	within	ADP
ijassa-1308	163	5	each	each	DET
ijassa-1308	163	6	sample	sample	NOUN
ijassa-1308	163	7	is	be	AUX
ijassa-1308	163	8	standardized	standardize	VERB
ijassa-1308	163	9	by	by	ADP
ijassa-1308	163	10	scaling	scale	VERB
ijassa-1308	163	11	with	with	ADP
ijassa-1308	163	12	mean	mean	ADJ
ijassa-1308	163	13	and	and	CCONJ
ijassa-1308	163	14	standard	standard	ADJ
ijassa-1308	163	15	deviation	deviation	NOUN
ijassa-1308	163	16	from	from	ADP
ijassa-1308	163	17	imagenet	imagenet	NOUN
ijassa-1308	163	18	(	(	PUNCT
ijassa-1308	163	19	due	due	ADP
ijassa-1308	163	20	to	to	ADP
ijassa-1308	163	21	the	the	DET
ijassa-1308	163	22	use	use	NOUN
ijassa-1308	163	23	of	of	ADP
ijassa-1308	163	24	an	an	DET
ijassa-1308	163	25	imagenet	imagenet	NOUN
ijassa-1308	163	26	-	-	PUNCT
ijassa-1308	163	27	pretrained	pretraine	VERB
ijassa-1308	163	28	encoder	encoder	NOUN
ijassa-1308	163	29	)	)	PUNCT
ijassa-1308	163	30	.	.	PUNCT
ijassa-1308	164	1	this	this	DET
ijassa-1308	164	2	pool	pool	NOUN
ijassa-1308	164	3	of	of	ADP
ijassa-1308	164	4	samples	sample	NOUN
ijassa-1308	164	5	constitutes	constitute	VERB
ijassa-1308	164	6	the	the	DET
ijassa-1308	164	7	input	input	NOUN
ijassa-1308	164	8	samples	sample	NOUN
ijassa-1308	164	9	to	to	PART
ijassa-1308	164	10	be	be	AUX
ijassa-1308	164	11	fed	feed	VERB
ijassa-1308	164	12	into	into	ADP
ijassa-1308	164	13	the	the	DET
ijassa-1308	164	14	segmentation	segmentation	NOUN
ijassa-1308	164	15	cnn	cnn	PROPN
ijassa-1308	164	16	.	.	PUNCT
ijassa-1308	165	1	2.6	2.6	NUM
ijassa-1308	165	2	.	.	PUNCT
ijassa-1308	166	1	implementation	implementation	NOUN
ijassa-1308	166	2	the	the	DET
ijassa-1308	166	3	stochastic	stochastic	ADJ
ijassa-1308	166	4	reconstructions	reconstruction	NOUN
ijassa-1308	166	5	algorithm	algorithm	NOUN
ijassa-1308	166	6	is	be	AUX
ijassa-1308	166	7	implemented	implement	VERB
ijassa-1308	166	8	on	on	ADP
ijassa-1308	166	9	the	the	DET
ijassa-1308	166	10	julia	julia	PROPN
ijassa-1308	166	11	programming	programming	PROPN
ijassa-1308	166	12	language	language	NOUN
ijassa-1308	166	13	.	.	PUNCT
ijassa-1308	167	1	the	the	DET
ijassa-1308	167	2	synthetic	synthetic	ADJ
ijassa-1308	167	3	tomography	tomography	NOUN
ijassa-1308	167	4	algorithm	algorithm	NOUN
ijassa-1308	167	5	is	be	AUX
ijassa-1308	167	6	implemented	implement	VERB
ijassa-1308	167	7	on	on	ADP
ijassa-1308	167	8	the	the	DET
ijassa-1308	167	9	python	python	NOUN
ijassa-1308	167	10	programming	programming	NOUN
ijassa-1308	167	11	language	language	NOUN
ijassa-1308	167	12	using	use	VERB
ijassa-1308	167	13	the	the	DET
ijassa-1308	167	14	astra	astra	NOUN
ijassa-1308	167	15	framework	framework	NOUN
ijassa-1308	167	16	for	for	ADP
ijassa-1308	167	17	calculating	calculate	VERB
ijassa-1308	167	18	linear	linear	ADJ
ijassa-1308	167	19	projections	projection	NOUN
ijassa-1308	167	20	and	and	CCONJ
ijassa-1308	167	21	the	the	DET
ijassa-1308	167	22	numpy	numpy	NOUN
ijassa-1308	167	23	and	and	CCONJ
ijassa-1308	167	24	pytorch	pytorch	NOUN
ijassa-1308	167	25	libraries	library	NOUN
ijassa-1308	167	26	for	for	ADP
ijassa-1308	167	27	matrix	matrix	NOUN
ijassa-1308	167	28	calculations	calculation	NOUN
ijassa-1308	167	29	parallelization	parallelization	NOUN
ijassa-1308	167	30	.	.	PUNCT
ijassa-1308	168	1	all	all	DET
ijassa-1308	168	2	neural	neural	ADJ
ijassa-1308	168	3	networks	network	NOUN
ijassa-1308	168	4	models	model	NOUN
ijassa-1308	168	5	were	be	AUX
ijassa-1308	168	6	trained	train	VERB
ijassa-1308	168	7	on	on	ADP
ijassa-1308	168	8	the	the	DET
ijassa-1308	168	9	python	python	NOUN
ijassa-1308	168	10	programming	programming	NOUN
ijassa-1308	168	11	language	language	NOUN
ijassa-1308	168	12	using	use	VERB
ijassa-1308	168	13	the	the	DET
ijassa-1308	168	14	pytorch	pytorch	NOUN
ijassa-1308	168	15	library	library	NOUN
ijassa-1308	168	16	.	.	PUNCT
ijassa-1308	169	1	we	we	PRON
ijassa-1308	169	2	used	use	VERB
ijassa-1308	169	3	a	a	DET
ijassa-1308	169	4	computer	computer	NOUN
ijassa-1308	169	5	with	with	ADP
ijassa-1308	169	6	ubuntu	ubuntu	ADJ
ijassa-1308	169	7	18.04	18.04	NUM
ijassa-1308	169	8	operation	operation	NOUN
ijassa-1308	169	9	system	system	NOUN
ijassa-1308	169	10	,	,	PUNCT
ijassa-1308	169	11	128	128	NUM
ijassa-1308	169	12	gb	gb	NOUN
ijassa-1308	169	13	ram	ram	NOUN
ijassa-1308	169	14	and	and	CCONJ
ijassa-1308	169	15	a	a	DET
ijassa-1308	169	16	nvidia	nvidia	PROPN
ijassa-1308	169	17	geforce	geforce	NOUN
ijassa-1308	169	18	rtx	rtx	PROPN
ijassa-1308	169	19	2090	2090	NUM
ijassa-1308	169	20	graphics	graphic	NOUN
ijassa-1308	169	21	card	card	NOUN
ijassa-1308	169	22	as	as	ADP
ijassa-1308	169	23	a	a	DET
ijassa-1308	169	24	working	working	NOUN
ijassa-1308	169	25	station	station	NOUN
ijassa-1308	169	26	for	for	ADP
ijassa-1308	169	27	computational	computational	ADJ
ijassa-1308	169	28	experiments	experiment	NOUN
ijassa-1308	169	29	.	.	PUNCT
ijassa-1308	170	1	3	3	X
ijassa-1308	170	2	.	.	X
ijassa-1308	170	3	experiments	experiment	NOUN
ijassa-1308	170	4	3.1	3.1	NUM
ijassa-1308	170	5	.	.	PUNCT
ijassa-1308	170	6	model	model	NOUN
ijassa-1308	170	7	description	description	NOUN
ijassa-1308	170	8	for	for	ADP
ijassa-1308	170	9	the	the	DET
ijassa-1308	170	10	purpose	purpose	NOUN
ijassa-1308	170	11	of	of	ADP
ijassa-1308	170	12	this	this	DET
ijassa-1308	170	13	study	study	NOUN
ijassa-1308	170	14	,	,	PUNCT
ijassa-1308	170	15	we	we	PRON
ijassa-1308	170	16	have	have	AUX
ijassa-1308	170	17	selected	select	VERB
ijassa-1308	170	18	the	the	DET
ijassa-1308	170	19	u	u	ADJ
ijassa-1308	170	20	-	-	ADJ
ijassa-1308	170	21	net	net	ADJ
ijassa-1308	170	22	segmentation	segmentation	NOUN
ijassa-1308	170	23	cnn	cnn	PROPN
ijassa-1308	170	24	architecture	architecture	NOUN
ijassa-1308	170	25	[	[	X
ijassa-1308	170	26	56	56	NUM
ijassa-1308	170	27	]	]	PUNCT
ijassa-1308	170	28	,	,	PUNCT
ijassa-1308	170	29	as	as	SCONJ
ijassa-1308	170	30	shown	show	VERB
ijassa-1308	170	31	in	in	ADP
ijassa-1308	170	32	fig.3.6	fig.3.6	PROPN
ijassa-1308	170	33	.	.	PUNCT
ijassa-1308	171	1	the	the	DET
ijassa-1308	171	2	u	u	NOUN
ijassa-1308	171	3	-	-	NOUN
ijassa-1308	171	4	net	net	ADJ
ijassa-1308	171	5	is	be	AUX
ijassa-1308	171	6	a	a	DET
ijassa-1308	171	7	fully	fully	ADV
ijassa-1308	171	8	-	-	PUNCT
ijassa-1308	171	9	convolutional	convolutional	ADJ
ijassa-1308	171	10	encoder	encoder	NOUN
ijassa-1308	171	11	-	-	PUNCT
ijassa-1308	171	12	decoder	decoder	NOUN
ijassa-1308	171	13	architecture	architecture	NOUN
ijassa-1308	171	14	with	with	ADP
ijassa-1308	171	15	skip	skip	NOUN
ijassa-1308	171	16	-	-	PUNCT
ijassa-1308	171	17	connections	connection	NOUN
ijassa-1308	171	18	,	,	PUNCT
ijassa-1308	171	19	which	which	PRON
ijassa-1308	171	20	are	be	AUX
ijassa-1308	171	21	feedforward	feedforward	ADJ
ijassa-1308	171	22	connections	connection	NOUN
ijassa-1308	171	23	from	from	ADP
ijassa-1308	171	24	encoder	encoder	NOUN
ijassa-1308	171	25	to	to	AUX
ijassa-1308	171	26	decoder	decoder	NOUN
ijassa-1308	171	27	layers	layer	NOUN
ijassa-1308	171	28	.	.	PUNCT
ijassa-1308	172	1	u	u	ADJ
ijassa-1308	172	2	-	-	ADJ
ijassa-1308	172	3	net	net	ADJ
ijassa-1308	172	4	uses	use	VERB
ijassa-1308	172	5	convolution	convolution	NOUN
ijassa-1308	172	6	and	and	CCONJ
ijassa-1308	172	7	max	max	PROPN
ijassa-1308	172	8	-	-	PUNCT
ijassa-1308	172	9	pooling	pool	VERB
ijassa-1308	172	10	layers	layer	NOUN
ijassa-1308	172	11	for	for	ADP
ijassa-1308	172	12	compression	compression	NOUN
ijassa-1308	172	13	(	(	PUNCT
ijassa-1308	172	14	down	down	ADV
ijassa-1308	172	15	-	-	PUNCT
ijassa-1308	172	16	sampling	sampling	NOUN
ijassa-1308	172	17	)	)	PUNCT
ijassa-1308	172	18	in	in	ADP
ijassa-1308	172	19	the	the	DET
ijassa-1308	172	20	encoder	encoder	NOUN
ijassa-1308	172	21	part	part	NOUN
ijassa-1308	172	22	.	.	PUNCT
ijassa-1308	173	1	transposed	transpose	VERB
ijassa-1308	173	2	convolutional	convolutional	ADJ
ijassa-1308	173	3	layers	layer	NOUN
ijassa-1308	173	4	and	and	CCONJ
ijassa-1308	173	5	concatenation	concatenation	NOUN
ijassa-1308	173	6	with	with	ADP
ijassa-1308	173	7	skip	skip	NOUN
ijassa-1308	173	8	-	-	PUNCT
ijassa-1308	173	9	connected	connected	ADJ
ijassa-1308	173	10	encoder	encoder	NOUN
ijassa-1308	173	11	feature	feature	NOUN
ijassa-1308	173	12	map	map	NOUN
ijassa-1308	173	13	for	for	ADP
ijassa-1308	173	14	decompression	decompression	NOUN
ijassa-1308	173	15	(	(	PUNCT
ijassa-1308	173	16	up	up	ADV
ijassa-1308	173	17	-	-	PUNCT
ijassa-1308	173	18	sampling	sampling	NOUN
ijassa-1308	173	19	)	)	PUNCT
ijassa-1308	173	20	in	in	ADP
ijassa-1308	173	21	the	the	DET
ijassa-1308	173	22	decoder	decoder	NOUN
ijassa-1308	173	23	part	part	NOUN
ijassa-1308	173	24	.	.	PUNCT
ijassa-1308	174	1	convolutional	convolutional	ADJ
ijassa-1308	174	2	layers	layer	NOUN
ijassa-1308	174	3	use	use	VERB
ijassa-1308	174	4	only	only	ADV
ijassa-1308	174	5	with	with	ADP
ijassa-1308	174	6	3x3	3x3	NUM
ijassa-1308	174	7	filters	filter	NOUN
ijassa-1308	174	8	.	.	PUNCT
ijassa-1308	175	1	in	in	ADP
ijassa-1308	175	2	this	this	DET
ijassa-1308	175	3	study	study	NOUN
ijassa-1308	175	4	we	we	PRON
ijassa-1308	175	5	used	use	VERB
ijassa-1308	175	6	a	a	DET
ijassa-1308	175	7	u	u	ADJ
ijassa-1308	175	8	-	-	ADJ
ijassa-1308	175	9	net	net	ADJ
ijassa-1308	175	10	architecture	architecture	NOUN
ijassa-1308	175	11	with	with	ADP
ijassa-1308	175	12	a	a	DET
ijassa-1308	175	13	imagenet	imagenet	NOUN
ijassa-1308	175	14	-	-	PUNCT
ijassa-1308	175	15	pretrained	pretraine	VERB
ijassa-1308	175	16	res	re	NOUN
ijassa-1308	175	17	-	-	PUNCT
ijassa-1308	175	18	net	net	ADJ
ijassa-1308	175	19	50	50	NUM
ijassa-1308	175	20	encoder	encoder	NOUN
ijassa-1308	175	21	.	.	PUNCT
ijassa-1308	176	1	3.2	3.2	NUM
ijassa-1308	176	2	.	.	PUNCT
ijassa-1308	176	3	training	training	NOUN
ijassa-1308	176	4	process	process	NOUN
ijassa-1308	176	5	as	as	ADP
ijassa-1308	176	6	input	input	NOUN
ijassa-1308	176	7	to	to	ADP
ijassa-1308	176	8	the	the	DET
ijassa-1308	176	9	network	network	NOUN
ijassa-1308	176	10	we	we	PRON
ijassa-1308	176	11	use	use	VERB
ijassa-1308	176	12	128×	128×	NUM
ijassa-1308	176	13	128	128	NUM
ijassa-1308	176	14	from	from	ADP
ijassa-1308	176	15	the	the	DET
ijassa-1308	176	16	pool	pool	NOUN
ijassa-1308	176	17	of	of	ADP
ijassa-1308	176	18	samples	sample	NOUN
ijassa-1308	176	19	with	with	ADP
ijassa-1308	176	20	corresponding	correspond	VERB
ijassa-1308	176	21	binarized	binarize	VERB
ijassa-1308	176	22	128×	128×	NUM
ijassa-1308	176	23	128	128	NUM
ijassa-1308	176	24	desired	desire	VERB
ijassa-1308	176	25	output	output	NOUN
ijassa-1308	176	26	samples	sample	NOUN
ijassa-1308	176	27	.	.	PUNCT
ijassa-1308	177	1	these	these	DET
ijassa-1308	177	2	input	input	NOUN
ijassa-1308	177	3	samples	sample	NOUN
ijassa-1308	177	4	are	be	AUX
ijassa-1308	177	5	arranged	arrange	VERB
ijassa-1308	177	6	into	into	ADP
ijassa-1308	177	7	batches	batch	NOUN
ijassa-1308	177	8	copyright	copyright	NOUN
ijassa-1308	177	9	©	©	ADP
ijassa-1308	177	10	2022	2022	NUM
ijassa-1308	177	11	assa	assa	NOUN
ijassa-1308	177	12	.	.	PUNCT
ijassa-1308	178	1	adv	adv	PROPN
ijassa-1308	178	2	syst	syst	PROPN
ijassa-1308	178	3	sci	sci	PROPN
ijassa-1308	178	4	appl	appl	PROPN
ijassa-1308	178	5	(	(	PUNCT
ijassa-1308	178	6	2022	2022	NUM
ijassa-1308	178	7	)	)	PUNCT
ijassa-1308	178	8	the	the	DET
ijassa-1308	178	9	influence	influence	NOUN
ijassa-1308	178	10	of	of	ADP
ijassa-1308	178	11	image	image	NOUN
ijassa-1308	178	12	morphology	morphology	NOUN
ijassa-1308	178	13	...	...	PUNCT
ijassa-1308	178	14	39	39	NUM
ijassa-1308	178	15	3232	3232	NUM
ijassa-1308	178	16	i	i	PRON
ijassa-1308	178	17	64	64	NUM
ijassa-1308	178	18	64	64	NUM
ijassa-1308	178	19	i/2	i/2	PROPN
ijassa-1308	178	20	128	128	NUM
ijassa-1308	178	21	128	128	NUM
ijassa-1308	178	22	i/4	i/4	NUM
ijassa-1308	178	23	256	256	NUM
ijassa-1308	178	24	256	256	NUM
ijassa-1308	178	25	i/8	i/8	NOUN
ijassa-1308	178	26	512	512	NUM
ijassa-1308	178	27	512	512	NUM
ijassa-1308	178	28	i/16	i/16	NOUN
ijassa-1308	178	29	256	256	NUM
ijassa-1308	178	30	256	256	NUM
ijassa-1308	178	31	256	256	NUM
ijassa-1308	178	32	256	256	NUM
ijassa-1308	178	33	i/8	i/8	NOUN
ijassa-1308	178	34	128	128	NUM
ijassa-1308	178	35	128	128	NUM
ijassa-1308	178	36	128	128	NUM
ijassa-1308	178	37	128	128	NUM
ijassa-1308	178	38	i/4	i/4	NUM
ijassa-1308	178	39	64	64	NUM
ijassa-1308	178	40	64	64	NUM
ijassa-1308	178	41	64	64	NUM
ijassa-1308	178	42	64	64	NUM
ijassa-1308	178	43	i/2	i/2	PROPN
ijassa-1308	178	44	32	32	NUM
ijassa-1308	178	45	32	32	NUM
ijassa-1308	178	46	32	32	NUM
ijassa-1308	178	47	32	32	NUM
ijassa-1308	178	48	i	i	PRON
ijassa-1308	178	49	fig	fig	VERB
ijassa-1308	178	50	.	.	PUNCT
ijassa-1308	179	1	3.6	3.6	NUM
ijassa-1308	179	2	.	.	X
ijassa-1308	180	1	u	u	NOUN
ijassa-1308	180	2	-	-	ADJ
ijassa-1308	180	3	net	net	ADJ
ijassa-1308	180	4	’s	’s	PART
ijassa-1308	180	5	architecture	architecture	NOUN
ijassa-1308	180	6	.	.	PUNCT
ijassa-1308	181	1	of	of	ADP
ijassa-1308	181	2	size	size	NOUN
ijassa-1308	181	3	32	32	NUM
ijassa-1308	181	4	for	for	ADP
ijassa-1308	181	5	model	model	NOUN
ijassa-1308	181	6	training	training	NOUN
ijassa-1308	181	7	.	.	PUNCT
ijassa-1308	182	1	therefore	therefore	ADV
ijassa-1308	182	2	,	,	PUNCT
ijassa-1308	182	3	the	the	DET
ijassa-1308	182	4	output	output	NOUN
ijassa-1308	182	5	of	of	ADP
ijassa-1308	182	6	the	the	DET
ijassa-1308	182	7	model	model	NOUN
ijassa-1308	182	8	constitutes	constitute	VERB
ijassa-1308	182	9	tensor	tensor	NOUN
ijassa-1308	182	10	with	with	ADP
ijassa-1308	182	11	pore	pore	ADJ
ijassa-1308	182	12	and	and	CCONJ
ijassa-1308	182	13	non	non	ADJ
ijassa-1308	182	14	-	-	ADJ
ijassa-1308	182	15	pore	pore	ADJ
ijassa-1308	182	16	probabilities	probability	NOUN
ijassa-1308	182	17	within	within	ADP
ijassa-1308	182	18	each	each	DET
ijassa-1308	182	19	pixel	pixel	NOUN
ijassa-1308	182	20	.	.	PUNCT
ijassa-1308	183	1	we	we	PRON
ijassa-1308	183	2	use	use	VERB
ijassa-1308	183	3	combination	combination	NOUN
ijassa-1308	183	4	of	of	ADP
ijassa-1308	183	5	cross	cross	NOUN
ijassa-1308	183	6	-	-	NOUN
ijassa-1308	183	7	entropy	entropy	ADJ
ijassa-1308	183	8	(	(	PUNCT
ijassa-1308	183	9	3.6	3.6	NUM
ijassa-1308	183	10	)	)	PUNCT
ijassa-1308	183	11	and	and	CCONJ
ijassa-1308	183	12	smoothed	smooth	VERB
ijassa-1308	183	13	intersection	intersection	NOUN
ijassa-1308	183	14	jaccard	jaccard	PROPN
ijassa-1308	183	15	index	index	NOUN
ijassa-1308	183	16	(	(	PUNCT
ijassa-1308	183	17	3.7	3.7	NUM
ijassa-1308	183	18	)	)	PUNCT
ijassa-1308	183	19	as	as	ADP
ijassa-1308	183	20	loss	loss	NOUN
ijassa-1308	183	21	function	function	NOUN
ijassa-1308	183	22	:	:	PUNCT
ijassa-1308	183	23	ce(x	ce(x	NUM
ijassa-1308	183	24	,	,	PUNCT
ijassa-1308	183	25	y	y	NOUN
ijassa-1308	183	26	)	)	PUNCT
ijassa-1308	183	27	=	=	SYM
ijassa-1308	184	1	−	−	PROPN
ijassa-1308	184	2	(	(	PUNCT
ijassa-1308	184	3	y	y	PROPN
ijassa-1308	184	4	log	log	PROPN
ijassa-1308	184	5	p(x	p(x	PROPN
ijassa-1308	184	6	)	)	PUNCT
ijassa-1308	184	7	+	+	CCONJ
ijassa-1308	184	8	(	(	PUNCT
ijassa-1308	184	9	1−	1−	NUM
ijassa-1308	184	10	y	y	NOUN
ijassa-1308	184	11	)	)	PUNCT
ijassa-1308	184	12	log	log	NOUN
ijassa-1308	184	13	(	(	PUNCT
ijassa-1308	184	14	1−	1−	NUM
ijassa-1308	184	15	p(x	p(x	PROPN
ijassa-1308	184	16	)	)	PUNCT
ijassa-1308	184	17	)	)	PUNCT
ijassa-1308	184	18	)	)	PUNCT
ijassa-1308	184	19	,	,	PUNCT
ijassa-1308	184	20	(	(	PUNCT
ijassa-1308	184	21	3.6	3.6	NUM
ijassa-1308	184	22	)	)	PUNCT
ijassa-1308	184	23	jaccard(x	jaccard(x	PROPN
ijassa-1308	184	24	,	,	PUNCT
ijassa-1308	184	25	y	y	NOUN
ijassa-1308	184	26	)	)	PUNCT
ijassa-1308	184	27	=	=	SYM
ijassa-1308	185	1	−	−	PROPN
ijassa-1308	185	2	log	log	NOUN
ijassa-1308	185	3	(	(	PUNCT
ijassa-1308	185	4	p(x)y	p(x)y	PROPN
ijassa-1308	185	5	+	+	CCONJ
ijassa-1308	185	6	ε	ε	PROPN
ijassa-1308	185	7	p(x	p(x	PROPN
ijassa-1308	185	8	)	)	PUNCT
ijassa-1308	185	9	+	+	CCONJ
ijassa-1308	185	10	y	y	PROPN
ijassa-1308	185	11	−	−	PROPN
ijassa-1308	185	12	p(x)y	p(x)y	PROPN
ijassa-1308	185	13	+	+	NUM
ijassa-1308	185	14	ε	ε	PROPN
ijassa-1308	185	15	)	)	PUNCT
ijassa-1308	185	16	,	,	PUNCT
ijassa-1308	185	17	(	(	PUNCT
ijassa-1308	185	18	3.7	3.7	NUM
ijassa-1308	185	19	)	)	PUNCT
ijassa-1308	185	20	l(i	l(i	NOUN
ijassa-1308	185	21	,	,	PUNCT
ijassa-1308	185	22	m	m	NOUN
ijassa-1308	185	23	)	)	PUNCT
ijassa-1308	185	24	=	=	SYM
ijassa-1308	185	25	1	1	NUM
ijassa-1308	185	26	n	n	NUM
ijassa-1308	185	27	n∑	n∑	NOUN
ijassa-1308	185	28	i=1	i=1	PROPN
ijassa-1308	185	29	∑	∑	PROPN
ijassa-1308	185	30	x	x	X
ijassa-1308	185	31	,	,	PUNCT
ijassa-1308	185	32	y∈ii	y∈ii	NOUN
ijassa-1308	185	33	,	,	PUNCT
ijassa-1308	185	34	mi	mi	PROPN
ijassa-1308	185	35	1	1	NUM
ijassa-1308	185	36	wh	wh	NOUN
ijassa-1308	185	37	(	(	PUNCT
ijassa-1308	185	38	ce(x	ce(x	PROPN
ijassa-1308	185	39	,	,	PUNCT
ijassa-1308	185	40	y	y	NOUN
ijassa-1308	185	41	)	)	PUNCT
ijassa-1308	185	42	+	+	CCONJ
ijassa-1308	185	43	αjaccard(x	αjaccard(x	NUM
ijassa-1308	185	44	,	,	PUNCT
ijassa-1308	185	45	y	y	NOUN
ijassa-1308	185	46	)	)	PUNCT
ijassa-1308	185	47	)	)	PUNCT
ijassa-1308	185	48	,	,	PUNCT
ijassa-1308	185	49	(	(	PUNCT
ijassa-1308	185	50	3.8	3.8	NUM
ijassa-1308	185	51	)	)	PUNCT
ijassa-1308	185	52	where	where	SCONJ
ijassa-1308	185	53	:	:	PUNCT
ijassa-1308	185	54	n	n	PRON
ijassa-1308	185	55	total	total	ADJ
ijassa-1308	185	56	number	number	NOUN
ijassa-1308	185	57	of	of	ADP
ijassa-1308	185	58	images	image	NOUN
ijassa-1308	185	59	;	;	PUNCT
ijassa-1308	185	60	ii	ii	PROPN
ijassa-1308	185	61	i	i	PROPN
ijassa-1308	185	62	-	-	PUNCT
ijassa-1308	185	63	th	th	X
ijassa-1308	185	64	image	image	NOUN
ijassa-1308	185	65	to	to	PART
ijassa-1308	185	66	segment	segment	VERB
ijassa-1308	185	67	;	;	PUNCT
ijassa-1308	185	68	mi	mi	PROPN
ijassa-1308	185	69	i	i	PROPN
ijassa-1308	185	70	-	-	PUNCT
ijassa-1308	185	71	th	th	X
ijassa-1308	185	72	true	true	ADJ
ijassa-1308	185	73	segmentation	segmentation	NOUN
ijassa-1308	185	74	mask	mask	NOUN
ijassa-1308	185	75	;	;	PUNCT
ijassa-1308	185	76	w	w	NOUN
ijassa-1308	185	77	width	width	NOUN
ijassa-1308	185	78	of	of	ADP
ijassa-1308	185	79	the	the	DET
ijassa-1308	185	80	output	output	NOUN
ijassa-1308	185	81	image	image	NOUN
ijassa-1308	185	82	;	;	PUNCT
ijassa-1308	185	83	h	h	NOUN
ijassa-1308	185	84	height	height	NOUN
ijassa-1308	185	85	of	of	ADP
ijassa-1308	185	86	the	the	DET
ijassa-1308	185	87	output	output	NOUN
ijassa-1308	185	88	image	image	NOUN
ijassa-1308	185	89	;	;	PUNCT
ijassa-1308	185	90	x	x	X
ijassa-1308	185	91	,	,	PUNCT
ijassa-1308	185	92	y	y	PROPN
ijassa-1308	185	93	image	image	NOUN
ijassa-1308	185	94	/	/	SYM
ijassa-1308	185	95	mask	mask	NOUN
ijassa-1308	185	96	pixels	pixel	NOUN
ijassa-1308	185	97	with	with	ADP
ijassa-1308	185	98	corresponding	correspond	VERB
ijassa-1308	185	99	spatial	spatial	ADJ
ijassa-1308	185	100	positions	position	NOUN
ijassa-1308	185	101	;	;	PUNCT
ijassa-1308	185	102	p(x	p(x	PROPN
ijassa-1308	185	103	)	)	PUNCT
ijassa-1308	185	104	neural	neural	ADJ
ijassa-1308	185	105	network	network	NOUN
ijassa-1308	185	106	prediction	prediction	NOUN
ijassa-1308	185	107	for	for	ADP
ijassa-1308	185	108	pixel	pixel	NOUN
ijassa-1308	185	109	x	x	SYM
ijassa-1308	185	110	;	;	PUNCT
ijassa-1308	185	111	ε	ε	PROPN
ijassa-1308	185	112	=	=	SYM
ijassa-1308	185	113	10−6	10−6	NUM
ijassa-1308	185	114	;	;	PUNCT
ijassa-1308	185	115	α	α	NOUN
ijassa-1308	185	116	=	=	SYM
ijassa-1308	185	117	1	1	X
ijassa-1308	185	118	.	.	PUNCT
ijassa-1308	186	1	we	we	PRON
ijassa-1308	186	2	used	use	VERB
ijassa-1308	186	3	adam	adam	PROPN
ijassa-1308	186	4	optimizer	optimizer	NOUN
ijassa-1308	186	5	[	[	X
ijassa-1308	186	6	57	57	NUM
ijassa-1308	186	7	]	]	PUNCT
ijassa-1308	186	8	with	with	ADP
ijassa-1308	186	9	following	follow	VERB
ijassa-1308	186	10	parameters	parameter	NOUN
ijassa-1308	186	11	:	:	PUNCT
ijassa-1308	186	12	lr	lr	X
ijassa-1308	186	13	=	=	SYM
ijassa-1308	186	14	10−2	10−2	NUM
ijassa-1308	186	15	initial	initial	ADJ
ijassa-1308	186	16	learning	learning	NOUN
ijassa-1308	186	17	rate	rate	NOUN
ijassa-1308	186	18	;	;	PUNCT
ijassa-1308	186	19	wd	wd	PROPN
ijassa-1308	186	20	=	=	SYM
ijassa-1308	186	21	10−2	10−2	NUM
ijassa-1308	186	22	weight	weight	NOUN
ijassa-1308	186	23	decay	decay	NOUN
ijassa-1308	186	24	;	;	PUNCT
ijassa-1308	186	25	β1	β1	PROPN
ijassa-1308	186	26	=	=	SYM
ijassa-1308	186	27	0.95	0.95	NUM
ijassa-1308	186	28	coefficient	coefficient	NOUN
ijassa-1308	186	29	used	use	VERB
ijassa-1308	186	30	for	for	ADP
ijassa-1308	186	31	computing	compute	VERB
ijassa-1308	186	32	running	running	NOUN
ijassa-1308	186	33	averages	average	NOUN
ijassa-1308	186	34	of	of	ADP
ijassa-1308	186	35	gradient	gradient	NOUN
ijassa-1308	186	36	;	;	PUNCT
ijassa-1308	186	37	β2	β2	NOUN
ijassa-1308	186	38	=	=	NOUN
ijassa-1308	186	39	0.999	0.999	NUM
ijassa-1308	186	40	coefficient	coefficient	NOUN
ijassa-1308	186	41	used	use	VERB
ijassa-1308	186	42	for	for	ADP
ijassa-1308	186	43	computing	compute	VERB
ijassa-1308	186	44	running	running	NOUN
ijassa-1308	186	45	averages	average	NOUN
ijassa-1308	186	46	of	of	ADP
ijassa-1308	186	47	gradient	gradient	ADJ
ijassa-1308	186	48	square	square	NOUN
ijassa-1308	186	49	;	;	PUNCT
ijassa-1308	186	50	lrd	lrd	PROPN
ijassa-1308	186	51	=	=	PROPN
ijassa-1308	186	52	0.5	0.5	NUM
ijassa-1308	186	53	multiplicative	multiplicative	ADJ
ijassa-1308	186	54	learning	learning	NOUN
ijassa-1308	186	55	rate	rate	NOUN
ijassa-1308	186	56	decay	decay	NOUN
ijassa-1308	186	57	on	on	ADP
ijassa-1308	186	58	validation	validation	NOUN
ijassa-1308	186	59	loss	loss	NOUN
ijassa-1308	186	60	plateau	plateau	NOUN
ijassa-1308	186	61	;	;	PUNCT
ijassa-1308	186	62	lrmin	lrmin	NOUN
ijassa-1308	186	63	=	=	SYM
ijassa-1308	186	64	10−6	10−6	NUM
ijassa-1308	186	65	minimal	minimal	ADJ
ijassa-1308	186	66	learning	learning	NOUN
ijassa-1308	186	67	rate	rate	NOUN
ijassa-1308	186	68	.	.	PUNCT
ijassa-1308	187	1	3.3	3.3	NUM
ijassa-1308	187	2	.	.	PUNCT
ijassa-1308	188	1	experimental	experimental	ADJ
ijassa-1308	188	2	setup	setup	NOUN
ijassa-1308	188	3	after	after	ADP
ijassa-1308	188	4	the	the	DET
ijassa-1308	188	5	preparation	preparation	NOUN
ijassa-1308	188	6	of	of	ADP
ijassa-1308	188	7	binarized	binarize	VERB
ijassa-1308	188	8	and	and	CCONJ
ijassa-1308	188	9	synthetic	synthetic	ADJ
ijassa-1308	188	10	xct	xct	PROPN
ijassa-1308	188	11	images	image	NOUN
ijassa-1308	188	12	as	as	SCONJ
ijassa-1308	188	13	was	be	AUX
ijassa-1308	188	14	described	describe	VERB
ijassa-1308	188	15	in	in	ADP
ijassa-1308	188	16	the	the	DET
ijassa-1308	188	17	previous	previous	ADJ
ijassa-1308	188	18	sections	section	NOUN
ijassa-1308	188	19	,	,	PUNCT
ijassa-1308	188	20	we	we	PRON
ijassa-1308	188	21	split	split	VERB
ijassa-1308	188	22	each	each	DET
ijassa-1308	188	23	stack	stack	NOUN
ijassa-1308	188	24	into	into	ADP
ijassa-1308	188	25	4–1–1	4–1–1	VERB
ijassa-1308	188	26	proportion	proportion	NOUN
ijassa-1308	188	27	–	–	PUNCT
ijassa-1308	188	28	training	training	NOUN
ijassa-1308	188	29	,	,	PUNCT
ijassa-1308	188	30	validation	validation	NOUN
ijassa-1308	188	31	and	and	CCONJ
ijassa-1308	188	32	testing	testing	NOUN
ijassa-1308	188	33	datasets	dataset	NOUN
ijassa-1308	188	34	.	.	PUNCT
ijassa-1308	189	1	we	we	PRON
ijassa-1308	189	2	trained	train	VERB
ijassa-1308	189	3	the	the	DET
ijassa-1308	189	4	model	model	NOUN
ijassa-1308	189	5	on	on	ADP
ijassa-1308	189	6	the	the	DET
ijassa-1308	189	7	training	training	NOUN
ijassa-1308	189	8	samples	sample	NOUN
ijassa-1308	189	9	(	(	PUNCT
ijassa-1308	189	10	fig	fig	NOUN
ijassa-1308	189	11	.	.	PUNCT
ijassa-1308	190	1	3.7	3.7	NUM
ijassa-1308	190	2	)	)	PUNCT
ijassa-1308	191	1	and	and	CCONJ
ijassa-1308	191	2	tuned	tune	VERB
ijassa-1308	191	3	the	the	DET
ijassa-1308	191	4	hyperparameters	hyperparameter	NOUN
ijassa-1308	191	5	to	to	ADP
ijassa-1308	191	6	copyright	copyright	NOUN
ijassa-1308	191	7	©	©	PROPN
ijassa-1308	191	8	2022	2022	NUM
ijassa-1308	191	9	assa	assa	NOUN
ijassa-1308	191	10	.	.	PUNCT
ijassa-1308	192	1	adv	adv	PROPN
ijassa-1308	192	2	syst	syst	PROPN
ijassa-1308	192	3	sci	sci	PROPN
ijassa-1308	192	4	appl	appl	PROPN
ijassa-1308	192	5	(	(	PUNCT
ijassa-1308	192	6	2022	2022	NUM
ijassa-1308	192	7	)	)	PUNCT
ijassa-1308	192	8	40	40	NUM
ijassa-1308	192	9	efim	efim	NOUN
ijassa-1308	192	10	v.	v.	ADP
ijassa-1308	192	11	lavrukhin	lavrukhin	NOUN
ijassa-1308	192	12	,	,	PUNCT
ijassa-1308	192	13	vasily	vasily	NOUN
ijassa-1308	192	14	postnicov	postnicov	NOUN
ijassa-1308	192	15	,	,	PUNCT
ijassa-1308	192	16	kirill	kirill	PROPN
ijassa-1308	192	17	m.	m.	PROPN
ijassa-1308	192	18	gerke	gerke	PROPN
ijassa-1308	192	19	fig	fig	PROPN
ijassa-1308	192	20	.	.	PUNCT
ijassa-1308	193	1	3.7	3.7	NUM
ijassa-1308	193	2	.	.	PUNCT
ijassa-1308	194	1	u	u	ADJ
ijassa-1308	194	2	-	-	ADJ
ijassa-1308	194	3	net	net	ADJ
ijassa-1308	194	4	training	training	NOUN
ijassa-1308	194	5	process	process	NOUN
ijassa-1308	194	6	.	.	PUNCT
ijassa-1308	195	1	minimize	minimize	VERB
ijassa-1308	195	2	the	the	DET
ijassa-1308	195	3	loss	loss	NOUN
ijassa-1308	195	4	function	function	NOUN
ijassa-1308	195	5	on	on	ADP
ijassa-1308	195	6	the	the	DET
ijassa-1308	195	7	validation	validation	NOUN
ijassa-1308	195	8	samples	sample	NOUN
ijassa-1308	195	9	.	.	PUNCT
ijassa-1308	196	1	as	as	ADP
ijassa-1308	196	2	a	a	DET
ijassa-1308	196	3	result	result	NOUN
ijassa-1308	196	4	,	,	PUNCT
ijassa-1308	196	5	we	we	PRON
ijassa-1308	196	6	obtained	obtain	VERB
ijassa-1308	196	7	the	the	DET
ijassa-1308	196	8	model	model	NOUN
ijassa-1308	196	9	trained	train	VERB
ijassa-1308	196	10	on	on	ADP
ijassa-1308	196	11	samples	sample	NOUN
ijassa-1308	196	12	with	with	ADP
ijassa-1308	196	13	real	real	ADJ
ijassa-1308	196	14	porous	porous	ADJ
ijassa-1308	196	15	media	medium	NOUN
ijassa-1308	196	16	morphological	morphological	ADJ
ijassa-1308	196	17	properties	property	NOUN
ijassa-1308	196	18	.	.	PUNCT
ijassa-1308	197	1	we	we	PRON
ijassa-1308	197	2	used	use	VERB
ijassa-1308	197	3	this	this	DET
ijassa-1308	197	4	model	model	NOUN
ijassa-1308	197	5	for	for	ADP
ijassa-1308	197	6	segmentation	segmentation	NOUN
ijassa-1308	197	7	of	of	ADP
ijassa-1308	197	8	the	the	DET
ijassa-1308	197	9	images	image	NOUN
ijassa-1308	197	10	from	from	ADP
ijassa-1308	197	11	the	the	DET
ijassa-1308	197	12	test	test	NOUN
ijassa-1308	197	13	dataset	dataset	NOUN
ijassa-1308	197	14	,	,	PUNCT
ijassa-1308	197	15	as	as	ADV
ijassa-1308	197	16	well	well	ADV
ijassa-1308	197	17	as	as	ADP
ijassa-1308	197	18	for	for	ADP
ijassa-1308	197	19	the	the	DET
ijassa-1308	197	20	segmentation	segmentation	NOUN
ijassa-1308	197	21	of	of	ADP
ijassa-1308	197	22	four	four	NUM
ijassa-1308	197	23	sequences	sequence	NOUN
ijassa-1308	197	24	of	of	ADP
ijassa-1308	197	25	synthetic	synthetic	ADJ
ijassa-1308	197	26	xct	xct	PROPN
ijassa-1308	197	27	images	image	NOUN
ijassa-1308	197	28	,	,	PUNCT
ijassa-1308	197	29	that	that	PRON
ijassa-1308	197	30	were	be	AUX
ijassa-1308	197	31	created	create	VERB
ijassa-1308	197	32	from	from	ADP
ijassa-1308	197	33	stochastic	stochastic	ADJ
ijassa-1308	197	34	reconstructions	reconstruction	NOUN
ijassa-1308	197	35	(	(	PUNCT
ijassa-1308	197	36	fig	fig	NOUN
ijassa-1308	197	37	.	.	PUNCT
ijassa-1308	197	38	3.8	3.8	NUM
ijassa-1308	197	39	)	)	PUNCT
ijassa-1308	197	40	.	.	PUNCT
ijassa-1308	198	1	finally	finally	ADV
ijassa-1308	198	2	,	,	PUNCT
ijassa-1308	198	3	we	we	PRON
ijassa-1308	198	4	measured	measure	VERB
ijassa-1308	198	5	the	the	DET
ijassa-1308	198	6	segmentation	segmentation	NOUN
ijassa-1308	198	7	quality	quality	NOUN
ijassa-1308	198	8	metric	metric	ADJ
ijassa-1308	198	9	by	by	ADP
ijassa-1308	198	10	the	the	DET
ijassa-1308	198	11	initial	initial	ADJ
ijassa-1308	198	12	morphological	morphological	ADJ
ijassa-1308	198	13	properties	property	NOUN
ijassa-1308	198	14	and	and	CCONJ
ijassa-1308	198	15	by	by	ADP
ijassa-1308	198	16	the	the	DET
ijassa-1308	198	17	number	number	NOUN
ijassa-1308	198	18	of	of	ADP
ijassa-1308	198	19	annealing	anneal	VERB
ijassa-1308	198	20	iterations	iteration	NOUN
ijassa-1308	198	21	(	(	PUNCT
ijassa-1308	198	22	iterations	iteration	NOUN
ijassa-1308	198	23	numbers	number	NOUN
ijassa-1308	198	24	1	1	NUM
ijassa-1308	198	25	,	,	PUNCT
ijassa-1308	198	26	4	4	NUM
ijassa-1308	198	27	,	,	PUNCT
ijassa-1308	198	28	16	16	NUM
ijassa-1308	198	29	,	,	PUNCT
ijassa-1308	198	30	64	64	NUM
ijassa-1308	198	31	)	)	PUNCT
ijassa-1308	198	32	against	against	ADP
ijassa-1308	198	33	the	the	DET
ijassa-1308	198	34	morphological	morphological	ADJ
ijassa-1308	198	35	properties	property	NOUN
ijassa-1308	198	36	original	original	ADJ
ijassa-1308	198	37	porous	porous	ADJ
ijassa-1308	198	38	media	medium	NOUN
ijassa-1308	198	39	ground	ground	NOUN
ijassa-1308	198	40	-	-	PUNCT
ijassa-1308	198	41	truth	truth	NOUN
ijassa-1308	198	42	images	image	NOUN
ijassa-1308	198	43	.	.	PUNCT
ijassa-1308	199	1	3.4	3.4	NUM
ijassa-1308	199	2	.	.	PUNCT
ijassa-1308	199	3	segmentation	segmentation	NOUN
ijassa-1308	199	4	accuracy	accuracy	NOUN
ijassa-1308	199	5	metrics	metric	NOUN
ijassa-1308	199	6	to	to	PART
ijassa-1308	199	7	measure	measure	VERB
ijassa-1308	199	8	model	model	NOUN
ijassa-1308	199	9	performance	performance	NOUN
ijassa-1308	199	10	in	in	ADP
ijassa-1308	199	11	our	our	PRON
ijassa-1308	199	12	experiments	experiment	NOUN
ijassa-1308	199	13	we	we	PRON
ijassa-1308	199	14	employed	employ	VERB
ijassa-1308	199	15	intersection	intersection	NOUN
ijassa-1308	199	16	over	over	ADP
ijassa-1308	199	17	union	union	NOUN
ijassa-1308	199	18	,	,	PUNCT
ijassa-1308	199	19	or	or	CCONJ
ijassa-1308	199	20	iou	iou	VERB
ijassa-1308	199	21	metric	metric	ADJ
ijassa-1308	199	22	–	–	PUNCT
ijassa-1308	199	23	the	the	DET
ijassa-1308	199	24	jaccard	jaccard	ADJ
ijassa-1308	199	25	index	index	NOUN
ijassa-1308	199	26	.	.	PUNCT
ijassa-1308	200	1	it	it	PRON
ijassa-1308	200	2	describes	describe	VERB
ijassa-1308	200	3	the	the	DET
ijassa-1308	200	4	ratio	ratio	NOUN
ijassa-1308	200	5	between	between	ADP
ijassa-1308	200	6	the	the	DET
ijassa-1308	200	7	size	size	NOUN
ijassa-1308	200	8	of	of	ADP
ijassa-1308	200	9	the	the	DET
ijassa-1308	200	10	intersection	intersection	NOUN
ijassa-1308	200	11	of	of	ADP
ijassa-1308	200	12	true	true	ADJ
ijassa-1308	200	13	and	and	CCONJ
ijassa-1308	200	14	predicted	predict	VERB
ijassa-1308	200	15	labels	label	NOUN
ijassa-1308	200	16	sets	set	NOUN
ijassa-1308	200	17	,	,	PUNCT
ijassa-1308	200	18	and	and	CCONJ
ijassa-1308	200	19	the	the	DET
ijassa-1308	200	20	size	size	NOUN
ijassa-1308	200	21	of	of	ADP
ijassa-1308	200	22	the	the	DET
ijassa-1308	200	23	union	union	NOUN
ijassa-1308	200	24	of	of	ADP
ijassa-1308	200	25	these	these	DET
ijassa-1308	200	26	sets	set	NOUN
ijassa-1308	200	27	.	.	PUNCT
ijassa-1308	201	1	this	this	DET
ijassa-1308	201	2	metric	metric	NOUN
ijassa-1308	201	3	is	be	AUX
ijassa-1308	201	4	widely	widely	ADV
ijassa-1308	201	5	used	use	VERB
ijassa-1308	201	6	to	to	PART
ijassa-1308	201	7	assess	assess	VERB
ijassa-1308	201	8	quality	quality	NOUN
ijassa-1308	201	9	in	in	ADP
ijassa-1308	201	10	segmentation	segmentation	NOUN
ijassa-1308	201	11	studies	study	NOUN
ijassa-1308	201	12	.	.	PUNCT
ijassa-1308	202	1	we	we	PRON
ijassa-1308	202	2	calculate	calculate	VERB
ijassa-1308	202	3	it	it	PRON
ijassa-1308	202	4	for	for	ADP
ijassa-1308	202	5	the	the	DET
ijassa-1308	202	6	positive	positive	ADJ
ijassa-1308	202	7	class	class	NOUN
ijassa-1308	202	8	(	(	PUNCT
ijassa-1308	202	9	i.e.	i.e.	X
ijassa-1308	202	10	,	,	PUNCT
ijassa-1308	202	11	pore	pore	ADJ
ijassa-1308	202	12	phase	phase	NOUN
ijassa-1308	202	13	)	)	PUNCT
ijassa-1308	202	14	for	for	ADP
ijassa-1308	202	15	greater	great	ADJ
ijassa-1308	202	16	sensitivity	sensitivity	NOUN
ijassa-1308	202	17	.	.	PUNCT
ijassa-1308	203	1	in	in	ADP
ijassa-1308	203	2	order	order	NOUN
ijassa-1308	203	3	to	to	PART
ijassa-1308	203	4	get	get	VERB
ijassa-1308	203	5	the	the	DET
ijassa-1308	203	6	class	class	NOUN
ijassa-1308	203	7	labels	label	NOUN
ijassa-1308	203	8	from	from	ADP
ijassa-1308	203	9	the	the	DET
ijassa-1308	203	10	probabilities	probability	NOUN
ijassa-1308	203	11	that	that	PRON
ijassa-1308	203	12	are	be	AUX
ijassa-1308	203	13	returned	return	VERB
ijassa-1308	203	14	by	by	ADP
ijassa-1308	203	15	the	the	DET
ijassa-1308	203	16	model	model	NOUN
ijassa-1308	203	17	,	,	PUNCT
ijassa-1308	203	18	we	we	PRON
ijassa-1308	203	19	used	use	VERB
ijassa-1308	203	20	the	the	DET
ijassa-1308	203	21	probability	probability	NOUN
ijassa-1308	203	22	threshold	threshold	NOUN
ijassa-1308	203	23	of	of	ADP
ijassa-1308	203	24	0.5	0.5	NUM
ijassa-1308	203	25	.	.	PUNCT
ijassa-1308	204	1	the	the	DET
ijassa-1308	204	2	iou	iou	PROPN
ijassa-1308	204	3	metric	metric	NOUN
ijassa-1308	204	4	was	be	AUX
ijassa-1308	204	5	measured	measure	VERB
ijassa-1308	204	6	for	for	ADP
ijassa-1308	204	7	each	each	DET
ijassa-1308	204	8	synthetic	synthetic	NOUN
ijassa-1308	204	9	xct	xct	PROPN
ijassa-1308	204	10	–	–	PUNCT
ijassa-1308	204	11	ground	ground	NOUN
ijassa-1308	204	12	-	-	PUNCT
ijassa-1308	204	13	truth	truth	NOUN
ijassa-1308	204	14	pair	pair	NOUN
ijassa-1308	204	15	.	.	PUNCT
ijassa-1308	205	1	4	4	X
ijassa-1308	205	2	.	.	X
ijassa-1308	205	3	results	result	NOUN
ijassa-1308	205	4	we	we	PRON
ijassa-1308	205	5	obtained	obtain	VERB
ijassa-1308	205	6	an	an	DET
ijassa-1308	205	7	average	average	ADJ
ijassa-1308	205	8	iou	iou	NOUN
ijassa-1308	205	9	=	=	NOUN
ijassa-1308	205	10	0.81	0.81	NUM
ijassa-1308	205	11	for	for	ADP
ijassa-1308	205	12	the	the	DET
ijassa-1308	205	13	pore	pore	ADJ
ijassa-1308	205	14	phase	phase	NOUN
ijassa-1308	205	15	,	,	PUNCT
ijassa-1308	205	16	which	which	PRON
ijassa-1308	205	17	is	be	AUX
ijassa-1308	205	18	a	a	DET
ijassa-1308	205	19	relatively	relatively	ADV
ijassa-1308	205	20	good	good	ADJ
ijassa-1308	205	21	result	result	NOUN
ijassa-1308	205	22	.	.	PUNCT
ijassa-1308	206	1	it	it	PRON
ijassa-1308	206	2	should	should	AUX
ijassa-1308	206	3	also	also	ADV
ijassa-1308	206	4	be	be	AUX
ijassa-1308	206	5	noted	note	VERB
ijassa-1308	206	6	that	that	SCONJ
ijassa-1308	206	7	measurements	measurement	NOUN
ijassa-1308	206	8	are	be	AUX
ijassa-1308	206	9	carried	carry	VERB
ijassa-1308	206	10	out	out	ADP
ijassa-1308	206	11	against	against	ADP
ijassa-1308	206	12	true	true	ADJ
ijassa-1308	206	13	ground	ground	NOUN
ijassa-1308	206	14	-	-	PUNCT
ijassa-1308	206	15	truth	truth	NOUN
ijassa-1308	206	16	labels	label	NOUN
ijassa-1308	206	17	(	(	PUNCT
ijassa-1308	206	18	which	which	PRON
ijassa-1308	206	19	were	be	AUX
ijassa-1308	206	20	used	use	VERB
ijassa-1308	206	21	to	to	PART
ijassa-1308	206	22	produce	produce	VERB
ijassa-1308	206	23	synthetic	synthetic	NOUN
ijassa-1308	206	24	xct	xct	PROPN
ijassa-1308	206	25	images	image	NOUN
ijassa-1308	206	26	)	)	PUNCT
ijassa-1308	206	27	.	.	PUNCT
ijassa-1308	207	1	most	most	ADJ
ijassa-1308	207	2	segmentation	segmentation	NOUN
ijassa-1308	207	3	errors	error	NOUN
ijassa-1308	207	4	are	be	AUX
ijassa-1308	207	5	located	locate	VERB
ijassa-1308	207	6	around	around	ADP
ijassa-1308	207	7	the	the	DET
ijassa-1308	207	8	phase	phase	NOUN
ijassa-1308	207	9	separation	separation	NOUN
ijassa-1308	207	10	boundaries	boundary	NOUN
ijassa-1308	207	11	and	and	CCONJ
ijassa-1308	207	12	can	can	AUX
ijassa-1308	207	13	be	be	AUX
ijassa-1308	207	14	explained	explain	VERB
ijassa-1308	207	15	by	by	ADP
ijassa-1308	207	16	the	the	DET
ijassa-1308	207	17	influence	influence	NOUN
ijassa-1308	207	18	of	of	ADP
ijassa-1308	207	19	partial	partial	ADJ
ijassa-1308	207	20	volume	volume	NOUN
ijassa-1308	207	21	effect	effect	NOUN
ijassa-1308	207	22	.	.	PUNCT
ijassa-1308	208	1	copyright	copyright	NOUN
ijassa-1308	208	2	©	©	PROPN
ijassa-1308	208	3	2022	2022	NUM
ijassa-1308	208	4	assa	assa	NOUN
ijassa-1308	208	5	.	.	PUNCT
ijassa-1308	209	1	adv	adv	PROPN
ijassa-1308	209	2	syst	syst	PROPN
ijassa-1308	209	3	sci	sci	PROPN
ijassa-1308	209	4	appl	appl	PROPN
ijassa-1308	209	5	(	(	PUNCT
ijassa-1308	209	6	2022	2022	NUM
ijassa-1308	209	7	)	)	PUNCT
ijassa-1308	209	8	the	the	DET
ijassa-1308	209	9	influence	influence	NOUN
ijassa-1308	209	10	of	of	ADP
ijassa-1308	209	11	image	image	NOUN
ijassa-1308	209	12	morphology	morphology	NOUN
ijassa-1308	209	13	...	...	PUNCT
ijassa-1308	209	14	41	41	NUM
ijassa-1308	209	15	iteration	iteration	NOUN
ijassa-1308	209	16	1	1	NUM
ijassa-1308	209	17	iteration	iteration	NOUN
ijassa-1308	209	18	4	4	NUM
ijassa-1308	209	19	iteration	iteration	NOUN
ijassa-1308	209	20	16	16	NUM
ijassa-1308	209	21	iteration	iteration	NOUN
ijassa-1308	209	22	64	64	NUM
ijassa-1308	209	23	fig	fig	NOUN
ijassa-1308	209	24	.	.	PUNCT
ijassa-1308	210	1	3.8	3.8	NUM
ijassa-1308	210	2	.	.	PUNCT
ijassa-1308	211	1	examples	example	NOUN
ijassa-1308	211	2	of	of	ADP
ijassa-1308	211	3	2d	2d	NUM
ijassa-1308	211	4	slices	slice	NOUN
ijassa-1308	211	5	from	from	ADP
ijassa-1308	211	6	3d	3d	NUM
ijassa-1308	211	7	sequences	sequence	NOUN
ijassa-1308	211	8	of	of	ADP
ijassa-1308	211	9	samples	sample	NOUN
ijassa-1308	211	10	produced	produce	VERB
ijassa-1308	211	11	by	by	ADP
ijassa-1308	211	12	stochastic	stochastic	ADJ
ijassa-1308	211	13	reconstruction	reconstruction	NOUN
ijassa-1308	211	14	algorithm	algorithm	NOUN
ijassa-1308	211	15	.	.	PUNCT
ijassa-1308	212	1	4.1	4.1	NUM
ijassa-1308	212	2	.	.	PUNCT
ijassa-1308	212	3	visual	visual	ADJ
ijassa-1308	212	4	segmentation	segmentation	NOUN
ijassa-1308	212	5	results	result	VERB
ijassa-1308	212	6	in	in	ADP
ijassa-1308	212	7	this	this	DET
ijassa-1308	212	8	section	section	NOUN
ijassa-1308	212	9	we	we	PRON
ijassa-1308	212	10	show	show	VERB
ijassa-1308	212	11	visual	visual	ADJ
ijassa-1308	212	12	results	result	NOUN
ijassa-1308	212	13	of	of	ADP
ijassa-1308	212	14	the	the	DET
ijassa-1308	212	15	cnn	cnn	PROPN
ijassa-1308	212	16	-	-	PUNCT
ijassa-1308	212	17	based	base	VERB
ijassa-1308	212	18	segmentation	segmentation	NOUN
ijassa-1308	212	19	(	(	PUNCT
ijassa-1308	212	20	fig	fig	NOUN
ijassa-1308	212	21	.	.	PUNCT
ijassa-1308	213	1	4.9	4.9	NUM
ijassa-1308	213	2	,	,	PUNCT
ijassa-1308	213	3	4.10	4.10	NUM
ijassa-1308	213	4	,	,	PUNCT
ijassa-1308	213	5	4.11	4.11	NUM
ijassa-1308	213	6	,	,	PUNCT
ijassa-1308	213	7	4.12	4.12	NUM
ijassa-1308	213	8	)	)	PUNCT
ijassa-1308	213	9	.	.	PUNCT
ijassa-1308	214	1	fig	fig	NOUN
ijassa-1308	214	2	.	.	PUNCT
ijassa-1308	215	1	4.9	4.9	NUM
ijassa-1308	215	2	.	.	PUNCT
ijassa-1308	216	1	examples	example	NOUN
ijassa-1308	216	2	of	of	ADP
ijassa-1308	216	3	2d	2d	NUM
ijassa-1308	216	4	slices	slice	NOUN
ijassa-1308	216	5	through	through	ADP
ijassa-1308	216	6	3d	3d	NUM
ijassa-1308	216	7	segmented	segment	VERB
ijassa-1308	216	8	images	image	NOUN
ijassa-1308	216	9	for	for	ADP
ijassa-1308	216	10	sample	sample	NOUN
ijassa-1308	216	11	1	1	NUM
ijassa-1308	216	12	.	.	PUNCT
ijassa-1308	217	1	also	also	ADV
ijassa-1308	217	2	we	we	PRON
ijassa-1308	217	3	can	can	AUX
ijassa-1308	217	4	see	see	VERB
ijassa-1308	217	5	(	(	PUNCT
ijassa-1308	217	6	fig	fig	NOUN
ijassa-1308	217	7	.	.	PUNCT
ijassa-1308	218	1	4.13	4.13	NUM
ijassa-1308	218	2	)	)	PUNCT
ijassa-1308	218	3	the	the	DET
ijassa-1308	218	4	visualization	visualization	NOUN
ijassa-1308	218	5	of	of	ADP
ijassa-1308	218	6	false	false	ADJ
ijassa-1308	218	7	-	-	PUNCT
ijassa-1308	218	8	positive	positive	ADJ
ijassa-1308	218	9	(	(	PUNCT
ijassa-1308	218	10	shown	show	VERB
ijassa-1308	218	11	in	in	ADP
ijassa-1308	218	12	red	red	ADJ
ijassa-1308	218	13	)	)	PUNCT
ijassa-1308	218	14	and	and	CCONJ
ijassa-1308	218	15	falsenegative	falsenegative	ADJ
ijassa-1308	218	16	(	(	PUNCT
ijassa-1308	218	17	shown	show	VERB
ijassa-1308	218	18	in	in	ADP
ijassa-1308	218	19	blue	blue	ADJ
ijassa-1308	218	20	)	)	PUNCT
ijassa-1308	218	21	segmentation	segmentation	NOUN
ijassa-1308	218	22	errors	error	NOUN
ijassa-1308	218	23	.	.	PUNCT
ijassa-1308	219	1	copyright	copyright	NOUN
ijassa-1308	219	2	©	©	PROPN
ijassa-1308	219	3	2022	2022	NUM
ijassa-1308	219	4	assa	assa	NOUN
ijassa-1308	219	5	.	.	PUNCT
ijassa-1308	220	1	adv	adv	PROPN
ijassa-1308	220	2	syst	syst	PROPN
ijassa-1308	220	3	sci	sci	PROPN
ijassa-1308	220	4	appl	appl	PROPN
ijassa-1308	220	5	(	(	PUNCT
ijassa-1308	220	6	2022	2022	NUM
ijassa-1308	220	7	)	)	PUNCT
ijassa-1308	220	8	42	42	NUM
ijassa-1308	220	9	efim	efim	NOUN
ijassa-1308	220	10	v.	v.	ADP
ijassa-1308	220	11	lavrukhin	lavrukhin	NOUN
ijassa-1308	220	12	,	,	PUNCT
ijassa-1308	220	13	vasily	vasily	NOUN
ijassa-1308	220	14	postnicov	postnicov	NOUN
ijassa-1308	220	15	,	,	PUNCT
ijassa-1308	220	16	kirill	kirill	PROPN
ijassa-1308	220	17	m.	m.	PROPN
ijassa-1308	220	18	gerke	gerke	PROPN
ijassa-1308	220	19	fig	fig	PROPN
ijassa-1308	220	20	.	.	PUNCT
ijassa-1308	221	1	4.10	4.10	NUM
ijassa-1308	221	2	.	.	PUNCT
ijassa-1308	222	1	examples	example	NOUN
ijassa-1308	222	2	of	of	ADP
ijassa-1308	222	3	2d	2d	PROPN
ijassa-1308	222	4	slices	slice	NOUN
ijassa-1308	222	5	through	through	ADP
ijassa-1308	222	6	3d	3d	NUM
ijassa-1308	222	7	segmented	segment	VERB
ijassa-1308	222	8	images	image	NOUN
ijassa-1308	222	9	for	for	ADP
ijassa-1308	222	10	sample	sample	NOUN
ijassa-1308	222	11	2	2	NUM
ijassa-1308	222	12	.	.	PUNCT
ijassa-1308	222	13	fig	fig	NOUN
ijassa-1308	222	14	.	.	PUNCT
ijassa-1308	223	1	4.11	4.11	NUM
ijassa-1308	223	2	.	.	PUNCT
ijassa-1308	224	1	examples	example	NOUN
ijassa-1308	224	2	of	of	ADP
ijassa-1308	224	3	2d	2d	PROPN
ijassa-1308	224	4	slices	slice	NOUN
ijassa-1308	224	5	through	through	ADP
ijassa-1308	224	6	3d	3d	NUM
ijassa-1308	224	7	segmented	segment	VERB
ijassa-1308	224	8	images	image	NOUN
ijassa-1308	224	9	for	for	ADP
ijassa-1308	224	10	sample	sample	NOUN
ijassa-1308	224	11	3	3	NUM
ijassa-1308	224	12	.	.	PUNCT
ijassa-1308	224	13	fig	fig	NOUN
ijassa-1308	224	14	.	.	PUNCT
ijassa-1308	225	1	4.12	4.12	NUM
ijassa-1308	225	2	.	.	PUNCT
ijassa-1308	226	1	examples	example	NOUN
ijassa-1308	226	2	of	of	ADP
ijassa-1308	226	3	2d	2d	PROPN
ijassa-1308	226	4	slices	slice	NOUN
ijassa-1308	226	5	through	through	ADP
ijassa-1308	226	6	3d	3d	NUM
ijassa-1308	226	7	segmented	segment	VERB
ijassa-1308	226	8	images	image	NOUN
ijassa-1308	226	9	for	for	ADP
ijassa-1308	226	10	sample	sample	NOUN
ijassa-1308	226	11	4	4	NUM
ijassa-1308	226	12	.	.	PUNCT
ijassa-1308	227	1	as	as	SCONJ
ijassa-1308	227	2	we	we	PRON
ijassa-1308	227	3	can	can	AUX
ijassa-1308	227	4	see	see	VERB
ijassa-1308	227	5	,	,	PUNCT
ijassa-1308	227	6	our	our	PRON
ijassa-1308	227	7	model	model	NOUN
ijassa-1308	227	8	is	be	AUX
ijassa-1308	227	9	uncertain	uncertain	ADJ
ijassa-1308	227	10	only	only	ADV
ijassa-1308	227	11	about	about	ADP
ijassa-1308	227	12	interface	interface	NOUN
ijassa-1308	227	13	pixels	pixel	NOUN
ijassa-1308	227	14	,	,	PUNCT
ijassa-1308	227	15	the	the	DET
ijassa-1308	227	16	amount	amount	NOUN
ijassa-1308	227	17	of	of	ADP
ijassa-1308	227	18	falsenegative	falsenegative	ADJ
ijassa-1308	227	19	and	and	CCONJ
ijassa-1308	227	20	false	false	ADJ
ijassa-1308	227	21	-	-	PUNCT
ijassa-1308	227	22	positive	positive	ADJ
ijassa-1308	227	23	errors	error	NOUN
ijassa-1308	227	24	is	be	AUX
ijassa-1308	227	25	almost	almost	ADV
ijassa-1308	227	26	equal	equal	ADJ
ijassa-1308	227	27	.	.	PUNCT
ijassa-1308	228	1	4.2	4.2	NUM
ijassa-1308	228	2	.	.	PUNCT
ijassa-1308	229	1	quantitative	quantitative	ADJ
ijassa-1308	229	2	segmentation	segmentation	NOUN
ijassa-1308	229	3	results	result	NOUN
ijassa-1308	229	4	to	to	PART
ijassa-1308	229	5	quantitatively	quantitatively	ADV
ijassa-1308	229	6	describe	describe	VERB
ijassa-1308	229	7	the	the	DET
ijassa-1308	229	8	observed	observe	VERB
ijassa-1308	229	9	results	result	NOUN
ijassa-1308	229	10	,	,	PUNCT
ijassa-1308	229	11	we	we	PRON
ijassa-1308	229	12	built	build	VERB
ijassa-1308	229	13	a	a	DET
ijassa-1308	229	14	bar	bar	NOUN
ijassa-1308	229	15	charts	chart	NOUN
ijassa-1308	229	16	to	to	PART
ijassa-1308	229	17	compare	compare	VERB
ijassa-1308	229	18	the	the	DET
ijassa-1308	229	19	following	follow	VERB
ijassa-1308	229	20	options	option	NOUN
ijassa-1308	229	21	:	:	PUNCT
ijassa-1308	229	22	copyright	copyright	NOUN
ijassa-1308	229	23	©	©	PROPN
ijassa-1308	229	24	2022	2022	NUM
ijassa-1308	229	25	assa	assa	NOUN
ijassa-1308	229	26	.	.	PUNCT
ijassa-1308	230	1	adv	adv	PROPN
ijassa-1308	230	2	syst	syst	PROPN
ijassa-1308	230	3	sci	sci	PROPN
ijassa-1308	230	4	appl	appl	PROPN
ijassa-1308	230	5	(	(	PUNCT
ijassa-1308	230	6	2022	2022	NUM
ijassa-1308	230	7	)	)	PUNCT
ijassa-1308	230	8	the	the	DET
ijassa-1308	230	9	influence	influence	NOUN
ijassa-1308	230	10	of	of	ADP
ijassa-1308	230	11	image	image	NOUN
ijassa-1308	230	12	morphology	morphology	NOUN
ijassa-1308	230	13	...	...	PUNCT
ijassa-1308	231	1	43	43	NUM
ijassa-1308	231	2	sample	sample	NOUN
ijassa-1308	231	3	1	1	NUM
ijassa-1308	231	4	sample	sample	NOUN
ijassa-1308	231	5	2	2	NUM
ijassa-1308	231	6	sample	sample	NOUN
ijassa-1308	231	7	3	3	NUM
ijassa-1308	231	8	sample	sample	NOUN
ijassa-1308	231	9	4	4	NUM
ijassa-1308	231	10	fig	fig	NOUN
ijassa-1308	231	11	.	.	PUNCT
ijassa-1308	232	1	4.13	4.13	NUM
ijassa-1308	232	2	.	.	PUNCT
ijassa-1308	233	1	visualization	visualization	NOUN
ijassa-1308	233	2	of	of	ADP
ijassa-1308	233	3	false	false	ADJ
ijassa-1308	233	4	-	-	PUNCT
ijassa-1308	233	5	positive	positive	ADJ
ijassa-1308	233	6	and	and	CCONJ
ijassa-1308	233	7	false	false	ADJ
ijassa-1308	233	8	-	-	PUNCT
ijassa-1308	233	9	negative	negative	ADJ
ijassa-1308	233	10	segmentation	segmentation	NOUN
ijassa-1308	233	11	errors	error	NOUN
ijassa-1308	233	12	.	.	PUNCT
ijassa-1308	234	1	1	1	X
ijassa-1308	234	2	.	.	X
ijassa-1308	234	3	segmentation	segmentation	NOUN
ijassa-1308	234	4	quality	quality	NOUN
ijassa-1308	234	5	depending	depend	VERB
ijassa-1308	234	6	on	on	ADP
ijassa-1308	234	7	the	the	DET
ijassa-1308	234	8	number	number	NOUN
ijassa-1308	234	9	of	of	ADP
ijassa-1308	234	10	the	the	DET
ijassa-1308	234	11	annealing	anneal	VERB
ijassa-1308	234	12	iterations	iteration	NOUN
ijassa-1308	234	13	for	for	ADP
ijassa-1308	234	14	each	each	DET
ijassa-1308	234	15	sample	sample	NOUN
ijassa-1308	234	16	separately	separately	ADV
ijassa-1308	234	17	(	(	PUNCT
ijassa-1308	234	18	fig	fig	NOUN
ijassa-1308	234	19	.	.	PUNCT
ijassa-1308	234	20	4.14	4.14	NUM
ijassa-1308	234	21	)	)	PUNCT
ijassa-1308	234	22	;	;	PUNCT
ijassa-1308	234	23	2	2	X
ijassa-1308	234	24	.	.	X
ijassa-1308	234	25	segmentation	segmentation	NOUN
ijassa-1308	234	26	quality	quality	NOUN
ijassa-1308	234	27	of	of	ADP
ijassa-1308	234	28	the	the	DET
ijassa-1308	234	29	original	original	ADJ
ijassa-1308	234	30	porous	porous	ADJ
ijassa-1308	234	31	media	medium	NOUN
ijassa-1308	234	32	stacks	stack	NOUN
ijassa-1308	234	33	(	(	PUNCT
ijassa-1308	234	34	fig	fig	NOUN
ijassa-1308	234	35	.	.	PUNCT
ijassa-1308	235	1	4.15	4.15	NUM
ijassa-1308	235	2	)	)	PUNCT
ijassa-1308	235	3	;	;	PUNCT
ijassa-1308	235	4	3	3	X
ijassa-1308	235	5	.	.	X
ijassa-1308	235	6	segmentation	segmentation	NOUN
ijassa-1308	235	7	quality	quality	NOUN
ijassa-1308	235	8	depending	depend	VERB
ijassa-1308	235	9	on	on	ADP
ijassa-1308	235	10	the	the	DET
ijassa-1308	235	11	number	number	NOUN
ijassa-1308	235	12	of	of	ADP
ijassa-1308	235	13	the	the	DET
ijassa-1308	235	14	annealing	anneal	VERB
ijassa-1308	235	15	iterations	iteration	NOUN
ijassa-1308	235	16	in	in	ADP
ijassa-1308	235	17	average	average	ADJ
ijassa-1308	235	18	over	over	ADP
ijassa-1308	235	19	all	all	DET
ijassa-1308	235	20	stacks	stack	NOUN
ijassa-1308	235	21	(	(	PUNCT
ijassa-1308	235	22	fig	fig	NOUN
ijassa-1308	235	23	.	.	PUNCT
ijassa-1308	236	1	4.16	4.16	NUM
ijassa-1308	236	2	)	)	PUNCT
ijassa-1308	236	3	.	.	PUNCT
ijassa-1308	237	1	sample	sample	NOUN
ijassa-1308	237	2	1	1	NUM
ijassa-1308	237	3	sample	sample	NOUN
ijassa-1308	237	4	2	2	NUM
ijassa-1308	237	5	sample	sample	NOUN
ijassa-1308	237	6	3	3	NUM
ijassa-1308	237	7	sample	sample	NOUN
ijassa-1308	237	8	4	4	NUM
ijassa-1308	237	9	fig	fig	NOUN
ijassa-1308	237	10	.	.	PUNCT
ijassa-1308	238	1	4.14	4.14	NUM
ijassa-1308	238	2	.	.	PUNCT
ijassa-1308	239	1	metrics	metric	NOUN
ijassa-1308	239	2	for	for	ADP
ijassa-1308	239	3	each	each	DET
ijassa-1308	239	4	stack	stack	NOUN
ijassa-1308	239	5	.	.	PUNCT
ijassa-1308	240	1	fig	fig	NOUN
ijassa-1308	240	2	.	.	PUNCT
ijassa-1308	241	1	4.15	4.15	NUM
ijassa-1308	241	2	.	.	PUNCT
ijassa-1308	242	1	separate	separate	ADJ
ijassa-1308	242	2	iou	iou	NOUN
ijassa-1308	242	3	metrics	metric	NOUN
ijassa-1308	242	4	for	for	ADP
ijassa-1308	242	5	original	original	ADJ
ijassa-1308	242	6	(	(	PUNCT
ijassa-1308	242	7	real	real	ADJ
ijassa-1308	242	8	porous	porous	ADJ
ijassa-1308	242	9	media	medium	NOUN
ijassa-1308	242	10	)	)	PUNCT
ijassa-1308	242	11	samples	sample	NOUN
ijassa-1308	242	12	.	.	PUNCT
ijassa-1308	243	1	copyright	copyright	NOUN
ijassa-1308	243	2	©	©	ADP
ijassa-1308	243	3	2022	2022	NUM
ijassa-1308	243	4	assa	assa	NOUN
ijassa-1308	243	5	.	.	PUNCT
ijassa-1308	244	1	adv	adv	PROPN
ijassa-1308	244	2	syst	syst	PROPN
ijassa-1308	244	3	sci	sci	PROPN
ijassa-1308	244	4	appl	appl	PROPN
ijassa-1308	244	5	(	(	PUNCT
ijassa-1308	244	6	2022	2022	NUM
ijassa-1308	244	7	)	)	PUNCT
ijassa-1308	244	8	44	44	NUM
ijassa-1308	244	9	efim	efim	NOUN
ijassa-1308	244	10	v.	v.	ADP
ijassa-1308	244	11	lavrukhin	lavrukhin	NOUN
ijassa-1308	244	12	,	,	PUNCT
ijassa-1308	244	13	vasily	vasily	NOUN
ijassa-1308	244	14	postnicov	postnicov	NOUN
ijassa-1308	244	15	,	,	PUNCT
ijassa-1308	244	16	kirill	kirill	PROPN
ijassa-1308	244	17	m.	m.	PROPN
ijassa-1308	244	18	gerke	gerke	PROPN
ijassa-1308	244	19	fig	fig	PROPN
ijassa-1308	244	20	.	.	PUNCT
ijassa-1308	245	1	4.16	4.16	NUM
ijassa-1308	245	2	.	.	PUNCT
ijassa-1308	245	3	averaged	average	VERB
ijassa-1308	245	4	iou	iou	NOUN
ijassa-1308	245	5	metrics	metric	NOUN
ijassa-1308	245	6	over	over	ADP
ijassa-1308	245	7	all	all	DET
ijassa-1308	245	8	samples	sample	NOUN
ijassa-1308	245	9	5	5	NUM
ijassa-1308	245	10	.	.	PUNCT
ijassa-1308	245	11	discussion	discussion	NOUN
ijassa-1308	245	12	first	first	ADV
ijassa-1308	245	13	of	of	ADP
ijassa-1308	245	14	all	all	PRON
ijassa-1308	245	15	,	,	PUNCT
ijassa-1308	245	16	we	we	PRON
ijassa-1308	245	17	tried	try	VERB
ijassa-1308	245	18	to	to	PART
ijassa-1308	245	19	understand	understand	VERB
ijassa-1308	245	20	why	why	SCONJ
ijassa-1308	245	21	the	the	DET
ijassa-1308	245	22	segmentation	segmentation	NOUN
ijassa-1308	245	23	quality	quality	NOUN
ijassa-1308	245	24	for	for	ADP
ijassa-1308	245	25	sample	sample	NOUN
ijassa-1308	245	26	2	2	NUM
ijassa-1308	245	27	was	be	AUX
ijassa-1308	245	28	much	much	ADV
ijassa-1308	245	29	better	well	ADJ
ijassa-1308	245	30	than	than	ADP
ijassa-1308	245	31	for	for	ADP
ijassa-1308	245	32	the	the	DET
ijassa-1308	245	33	rest	rest	NOUN
ijassa-1308	245	34	of	of	ADP
ijassa-1308	245	35	samples	sample	NOUN
ijassa-1308	245	36	.	.	PUNCT
ijassa-1308	246	1	we	we	PRON
ijassa-1308	246	2	believe	believe	VERB
ijassa-1308	246	3	that	that	SCONJ
ijassa-1308	246	4	this	this	PRON
ijassa-1308	246	5	is	be	AUX
ijassa-1308	246	6	due	due	ADJ
ijassa-1308	246	7	to	to	ADP
ijassa-1308	246	8	the	the	DET
ijassa-1308	246	9	fact	fact	NOUN
ijassa-1308	246	10	that	that	SCONJ
ijassa-1308	246	11	this	this	DET
ijassa-1308	246	12	sample	sample	NOUN
ijassa-1308	246	13	differs	differ	VERB
ijassa-1308	246	14	from	from	ADP
ijassa-1308	246	15	others	other	NOUN
ijassa-1308	246	16	in	in	ADP
ijassa-1308	246	17	its	its	PRON
ijassa-1308	246	18	morphological	morphological	ADJ
ijassa-1308	246	19	properties	property	NOUN
ijassa-1308	246	20	(	(	PUNCT
ijassa-1308	246	21	in	in	ADP
ijassa-1308	246	22	terms	term	NOUN
ijassa-1308	246	23	of	of	ADP
ijassa-1308	246	24	correlation	correlation	NOUN
ijassa-1308	246	25	functions	function	NOUN
ijassa-1308	246	26	)	)	PUNCT
ijassa-1308	246	27	.	.	PUNCT
ijassa-1308	247	1	samples	sample	NOUN
ijassa-1308	247	2	1	1	NUM
ijassa-1308	247	3	,	,	PUNCT
ijassa-1308	247	4	3	3	NUM
ijassa-1308	247	5	,	,	PUNCT
ijassa-1308	247	6	4	4	NUM
ijassa-1308	247	7	are	be	AUX
ijassa-1308	247	8	similar	similar	ADJ
ijassa-1308	247	9	to	to	ADP
ijassa-1308	247	10	each	each	DET
ijassa-1308	247	11	other	other	ADJ
ijassa-1308	247	12	in	in	ADP
ijassa-1308	247	13	correlation	correlation	NOUN
ijassa-1308	247	14	functions	function	NOUN
ijassa-1308	247	15	l2	l2	NOUN
ijassa-1308	247	16	(	(	PUNCT
ijassa-1308	247	17	sample	sample	NOUN
ijassa-1308	247	18	3	3	NUM
ijassa-1308	247	19	slightly	slightly	ADV
ijassa-1308	247	20	differ	differ	VERB
ijassa-1308	247	21	from	from	ADP
ijassa-1308	247	22	samples	sample	NOUN
ijassa-1308	247	23	1	1	NUM
ijassa-1308	247	24	,	,	PUNCT
ijassa-1308	247	25	4	4	NUM
ijassa-1308	247	26	)	)	PUNCT
ijassa-1308	247	27	and	and	CCONJ
ijassa-1308	247	28	fss	fss	ADJ
ijassa-1308	247	29	(	(	PUNCT
ijassa-1308	247	30	all	all	DET
ijassa-1308	247	31	samples	sample	NOUN
ijassa-1308	247	32	are	be	AUX
ijassa-1308	247	33	close	close	ADJ
ijassa-1308	247	34	in	in	ADP
ijassa-1308	247	35	all	all	DET
ijassa-1308	247	36	directions	direction	NOUN
ijassa-1308	247	37	)	)	PUNCT
ijassa-1308	247	38	,	,	PUNCT
ijassa-1308	247	39	all	all	DET
ijassa-1308	247	40	samples	sample	NOUN
ijassa-1308	247	41	are	be	AUX
ijassa-1308	247	42	pretty	pretty	ADV
ijassa-1308	247	43	close	close	ADJ
ijassa-1308	247	44	to	to	ADP
ijassa-1308	247	45	each	each	DET
ijassa-1308	247	46	other	other	ADJ
ijassa-1308	247	47	in	in	ADP
ijassa-1308	247	48	s2	s2	PROPN
ijassa-1308	247	49	,	,	PUNCT
ijassa-1308	247	50	the	the	DET
ijassa-1308	247	51	sample	sample	NOUN
ijassa-1308	247	52	2	2	NUM
ijassa-1308	247	53	is	be	AUX
ijassa-1308	247	54	not	not	PART
ijassa-1308	247	55	similar	similar	ADJ
ijassa-1308	247	56	to	to	ADP
ijassa-1308	247	57	the	the	DET
ijassa-1308	247	58	others	other	NOUN
ijassa-1308	247	59	in	in	ADP
ijassa-1308	247	60	any	any	DET
ijassa-1308	247	61	correlation	correlation	NOUN
ijassa-1308	247	62	function	function	NOUN
ijassa-1308	247	63	,	,	PUNCT
ijassa-1308	247	64	except	except	SCONJ
ijassa-1308	247	65	s2	s2	PROPN
ijassa-1308	247	66	(	(	PUNCT
ijassa-1308	247	67	see	see	VERB
ijassa-1308	247	68	fig	fig	NOUN
ijassa-1308	247	69	.	.	PUNCT
ijassa-1308	248	1	5.17	5.17	NUM
ijassa-1308	248	2	)	)	PUNCT
ijassa-1308	248	3	.	.	PUNCT
ijassa-1308	249	1	next	next	ADV
ijassa-1308	249	2	,	,	PUNCT
ijassa-1308	249	3	we	we	PRON
ijassa-1308	249	4	analyzed	analyze	VERB
ijassa-1308	249	5	why	why	SCONJ
ijassa-1308	249	6	metrics	metric	NOUN
ijassa-1308	249	7	dynamics	dynamic	NOUN
ijassa-1308	249	8	(	(	PUNCT
ijassa-1308	249	9	changes	change	NOUN
ijassa-1308	249	10	in	in	ADP
ijassa-1308	249	11	segmentation	segmentation	NOUN
ijassa-1308	249	12	accuracy	accuracy	NOUN
ijassa-1308	249	13	with	with	ADP
ijassa-1308	249	14	each	each	DET
ijassa-1308	249	15	annealing	anneal	VERB
ijassa-1308	249	16	iteration	iteration	NOUN
ijassa-1308	249	17	)	)	PUNCT
ijassa-1308	249	18	for	for	ADP
ijassa-1308	249	19	stochastic	stochastic	ADJ
ijassa-1308	249	20	reconstructions	reconstruction	NOUN
ijassa-1308	249	21	is	be	AUX
ijassa-1308	249	22	multidirectional	multidirectional	ADJ
ijassa-1308	249	23	for	for	ADP
ijassa-1308	249	24	different	different	ADJ
ijassa-1308	249	25	samples	sample	NOUN
ijassa-1308	249	26	.	.	PUNCT
ijassa-1308	250	1	in	in	ADP
ijassa-1308	250	2	particular	particular	ADJ
ijassa-1308	250	3	sample	sample	NOUN
ijassa-1308	250	4	2	2	NUM
ijassa-1308	250	5	is	be	AUX
ijassa-1308	250	6	different	different	ADJ
ijassa-1308	250	7	to	to	ADP
ijassa-1308	250	8	other	other	ADJ
ijassa-1308	250	9	samples	sample	NOUN
ijassa-1308	250	10	.	.	PUNCT
ijassa-1308	251	1	in	in	ADP
ijassa-1308	251	2	this	this	DET
ijassa-1308	251	3	regard	regard	NOUN
ijassa-1308	251	4	,	,	PUNCT
ijassa-1308	251	5	we	we	PRON
ijassa-1308	251	6	established	establish	VERB
ijassa-1308	251	7	that	that	DET
ijassa-1308	251	8	sample	sample	NOUN
ijassa-1308	251	9	2	2	NUM
ijassa-1308	251	10	has	have	VERB
ijassa-1308	251	11	the	the	DET
ijassa-1308	251	12	simplest	simple	ADJ
ijassa-1308	251	13	structure	structure	NOUN
ijassa-1308	251	14	(	(	PUNCT
ijassa-1308	251	15	fig	fig	NOUN
ijassa-1308	251	16	.	.	PUNCT
ijassa-1308	252	1	2.3	2.3	NUM
ijassa-1308	252	2	)	)	PUNCT
ijassa-1308	252	3	,	,	PUNCT
ijassa-1308	252	4	and	and	CCONJ
ijassa-1308	252	5	therefore	therefore	ADV
ijassa-1308	252	6	showed	show	VERB
ijassa-1308	252	7	the	the	DET
ijassa-1308	252	8	best	good	ADJ
ijassa-1308	252	9	segmentation	segmentation	NOUN
ijassa-1308	252	10	metrics	metric	NOUN
ijassa-1308	252	11	.	.	PUNCT
ijassa-1308	253	1	moreover	moreover	ADV
ijassa-1308	253	2	,	,	PUNCT
ijassa-1308	253	3	stochastic	stochastic	ADJ
ijassa-1308	253	4	”	"	PUNCT
ijassa-1308	253	5	deconstruction	deconstruction	NOUN
ijassa-1308	253	6	”	"	PUNCT
ijassa-1308	253	7	(	(	PUNCT
ijassa-1308	253	8	structural	structural	ADJ
ijassa-1308	253	9	dynamics	dynamic	NOUN
ijassa-1308	253	10	in	in	ADP
ijassa-1308	253	11	reversed	reversed	ADJ
ijassa-1308	253	12	direction	direction	NOUN
ijassa-1308	253	13	on	on	ADP
ijassa-1308	253	14	fig.3.8	fig.3.8	ADJ
ijassa-1308	253	15	)	)	PUNCT
ijassa-1308	253	16	further	further	ADJ
ijassa-1308	253	17	simplifies	simplifie	NOUN
ijassa-1308	253	18	its	its	PRON
ijassa-1308	253	19	structure	structure	NOUN
ijassa-1308	253	20	(	(	PUNCT
ijassa-1308	253	21	fig	fig	NOUN
ijassa-1308	253	22	.	.	PUNCT
ijassa-1308	253	23	3.8	3.8	NUM
ijassa-1308	253	24	)	)	PUNCT
ijassa-1308	253	25	by	by	ADP
ijassa-1308	253	26	increasing	increase	VERB
ijassa-1308	253	27	the	the	DET
ijassa-1308	253	28	iou	iou	NOUN
ijassa-1308	253	29	metric	metric	NOUN
ijassa-1308	253	30	.	.	PUNCT
ijassa-1308	254	1	the	the	DET
ijassa-1308	254	2	presence	presence	NOUN
ijassa-1308	254	3	of	of	ADP
ijassa-1308	254	4	the	the	DET
ijassa-1308	254	5	peak	peak	NOUN
ijassa-1308	254	6	in	in	ADP
ijassa-1308	254	7	metrics	metric	NOUN
ijassa-1308	254	8	at	at	ADP
ijassa-1308	254	9	16	16	NUM
ijassa-1308	254	10	and	and	CCONJ
ijassa-1308	254	11	64	64	NUM
ijassa-1308	254	12	iterations	iteration	NOUN
ijassa-1308	254	13	raised	raise	VERB
ijassa-1308	254	14	some	some	DET
ijassa-1308	254	15	questions	question	NOUN
ijassa-1308	254	16	.	.	PUNCT
ijassa-1308	255	1	after	after	ADP
ijassa-1308	255	2	reviewing	review	VERB
ijassa-1308	255	3	the	the	DET
ijassa-1308	255	4	corresponding	correspond	VERB
ijassa-1308	255	5	stochastic	stochastic	ADJ
ijassa-1308	255	6	reconstructions	reconstruction	NOUN
ijassa-1308	255	7	(	(	PUNCT
ijassa-1308	255	8	fig	fig	NOUN
ijassa-1308	255	9	.	.	PUNCT
ijassa-1308	255	10	3.8	3.8	NUM
ijassa-1308	255	11	)	)	PUNCT
ijassa-1308	255	12	,	,	PUNCT
ijassa-1308	255	13	we	we	PRON
ijassa-1308	255	14	can	can	AUX
ijassa-1308	255	15	conclude	conclude	VERB
ijassa-1308	255	16	that	that	SCONJ
ijassa-1308	255	17	they	they	PRON
ijassa-1308	255	18	are	be	AUX
ijassa-1308	255	19	visually	visually	ADV
ijassa-1308	255	20	much	much	ADV
ijassa-1308	255	21	more	more	ADV
ijassa-1308	255	22	similar	similar	ADJ
ijassa-1308	255	23	to	to	ADP
ijassa-1308	255	24	the	the	DET
ijassa-1308	255	25	original	original	ADJ
ijassa-1308	255	26	samples	sample	NOUN
ijassa-1308	255	27	than	than	ADP
ijassa-1308	255	28	the	the	DET
ijassa-1308	255	29	reconstructions	reconstruction	NOUN
ijassa-1308	255	30	at	at	ADP
ijassa-1308	255	31	the	the	DET
ijassa-1308	255	32	final	final	ADJ
ijassa-1308	255	33	iterations	iteration	NOUN
ijassa-1308	255	34	.	.	PUNCT
ijassa-1308	256	1	this	this	PRON
ijassa-1308	256	2	means	mean	VERB
ijassa-1308	256	3	that	that	SCONJ
ijassa-1308	256	4	the	the	DET
ijassa-1308	256	5	limited	limited	ADJ
ijassa-1308	256	6	information	information	NOUN
ijassa-1308	256	7	content	content	NOUN
ijassa-1308	256	8	of	of	ADP
ijassa-1308	256	9	the	the	DET
ijassa-1308	256	10	correlation	correlation	NOUN
ijassa-1308	256	11	functions	function	NOUN
ijassa-1308	256	12	does	do	AUX
ijassa-1308	256	13	not	not	PART
ijassa-1308	256	14	fully	fully	ADV
ijassa-1308	256	15	convey	convey	VERB
ijassa-1308	256	16	the	the	DET
ijassa-1308	256	17	morphological	morphological	ADJ
ijassa-1308	256	18	properties	property	NOUN
ijassa-1308	256	19	of	of	ADP
ijassa-1308	256	20	the	the	DET
ijassa-1308	256	21	original	original	ADJ
ijassa-1308	256	22	stacks	stack	NOUN
ijassa-1308	256	23	.	.	PUNCT
ijassa-1308	257	1	the	the	DET
ijassa-1308	257	2	above	above	ADV
ijassa-1308	257	3	-	-	PUNCT
ijassa-1308	257	4	mentioned	mention	VERB
ijassa-1308	257	5	considerations	consideration	NOUN
ijassa-1308	257	6	allow	allow	VERB
ijassa-1308	257	7	to	to	PART
ijassa-1308	257	8	suspect	suspect	VERB
ijassa-1308	257	9	that	that	SCONJ
ijassa-1308	257	10	the	the	DET
ijassa-1308	257	11	deconstruction	deconstruction	NOUN
ijassa-1308	257	12	of	of	ADP
ijassa-1308	257	13	the	the	DET
ijassa-1308	257	14	initial	initial	ADJ
ijassa-1308	257	15	samples	sample	NOUN
ijassa-1308	257	16	’	'	PUNCT
ijassa-1308	257	17	structure	structure	NOUN
ijassa-1308	257	18	has	have	VERB
ijassa-1308	257	19	less	less	ADJ
ijassa-1308	257	20	effect	effect	NOUN
ijassa-1308	257	21	on	on	ADP
ijassa-1308	257	22	the	the	DET
ijassa-1308	257	23	segmentation	segmentation	NOUN
ijassa-1308	257	24	metrics	metric	NOUN
ijassa-1308	257	25	than	than	ADP
ijassa-1308	257	26	the	the	DET
ijassa-1308	257	27	initial	initial	ADJ
ijassa-1308	257	28	difference	difference	NOUN
ijassa-1308	257	29	in	in	ADP
ijassa-1308	257	30	the	the	DET
ijassa-1308	257	31	morphological	morphological	ADJ
ijassa-1308	257	32	properties	property	NOUN
ijassa-1308	257	33	between	between	ADP
ijassa-1308	257	34	replicas	replica	NOUN
ijassa-1308	257	35	and	and	CCONJ
ijassa-1308	257	36	original	original	ADJ
ijassa-1308	257	37	porous	porous	ADJ
ijassa-1308	257	38	media	medium	NOUN
ijassa-1308	257	39	images	image	NOUN
ijassa-1308	257	40	.	.	PUNCT
ijassa-1308	258	1	to	to	PART
ijassa-1308	258	2	test	test	VERB
ijassa-1308	258	3	this	this	DET
ijassa-1308	258	4	hypothesis	hypothesis	NOUN
ijassa-1308	258	5	,	,	PUNCT
ijassa-1308	258	6	it	it	PRON
ijassa-1308	258	7	is	be	AUX
ijassa-1308	258	8	necessary	necessary	ADJ
ijassa-1308	258	9	to	to	PART
ijassa-1308	258	10	carry	carry	VERB
ijassa-1308	258	11	out	out	ADP
ijassa-1308	258	12	a	a	DET
ijassa-1308	258	13	similar	similar	ADJ
ijassa-1308	258	14	experiment	experiment	NOUN
ijassa-1308	258	15	with	with	ADP
ijassa-1308	258	16	a	a	DET
ijassa-1308	258	17	large	large	ADJ
ijassa-1308	258	18	number	number	NOUN
ijassa-1308	258	19	of	of	ADP
ijassa-1308	258	20	different	different	ADJ
ijassa-1308	258	21	original	original	ADJ
ijassa-1308	258	22	samples	sample	NOUN
ijassa-1308	258	23	.	.	PUNCT
ijassa-1308	259	1	porosity	porosity	NOUN
ijassa-1308	259	2	of	of	ADP
ijassa-1308	259	3	the	the	DET
ijassa-1308	259	4	sample	sample	NOUN
ijassa-1308	259	5	can	can	AUX
ijassa-1308	259	6	be	be	AUX
ijassa-1308	259	7	of	of	ADP
ijassa-1308	259	8	great	great	ADJ
ijassa-1308	259	9	importance	importance	NOUN
ijassa-1308	259	10	on	on	ADP
ijassa-1308	259	11	the	the	DET
ijassa-1308	259	12	results	result	NOUN
ijassa-1308	259	13	,	,	PUNCT
ijassa-1308	259	14	therefore	therefore	ADV
ijassa-1308	259	15	,	,	PUNCT
ijassa-1308	259	16	it	it	PRON
ijassa-1308	259	17	is	be	AUX
ijassa-1308	259	18	necessary	necessary	ADJ
ijassa-1308	259	19	to	to	PART
ijassa-1308	259	20	neutralize	neutralize	VERB
ijassa-1308	259	21	its	its	PRON
ijassa-1308	259	22	influence	influence	NOUN
ijassa-1308	259	23	.	.	PUNCT
ijassa-1308	260	1	this	this	PRON
ijassa-1308	260	2	can	can	AUX
ijassa-1308	260	3	be	be	AUX
ijassa-1308	260	4	achieved	achieve	VERB
ijassa-1308	260	5	by	by	ADP
ijassa-1308	260	6	collecting	collect	VERB
ijassa-1308	260	7	a	a	DET
ijassa-1308	260	8	a	a	DET
ijassa-1308	260	9	library	library	NOUN
ijassa-1308	260	10	of	of	ADP
ijassa-1308	260	11	original	original	ADJ
ijassa-1308	260	12	samples	sample	NOUN
ijassa-1308	260	13	with	with	ADP
ijassa-1308	260	14	the	the	DET
ijassa-1308	260	15	same	same	ADJ
ijassa-1308	260	16	initial	initial	ADJ
ijassa-1308	260	17	porosity	porosity	NOUN
ijassa-1308	260	18	(	(	PUNCT
ijassa-1308	260	19	stochastic	stochastic	ADJ
ijassa-1308	260	20	reconstructions	reconstruction	NOUN
ijassa-1308	260	21	preserve	preserve	VERB
ijassa-1308	260	22	the	the	DET
ijassa-1308	260	23	porosity	porosity	NOUN
ijassa-1308	260	24	of	of	ADP
ijassa-1308	260	25	the	the	DET
ijassa-1308	260	26	original	original	NOUN
ijassa-1308	260	27	)	)	PUNCT
ijassa-1308	260	28	.	.	PUNCT
ijassa-1308	261	1	6	6	X
ijassa-1308	261	2	.	.	X
ijassa-1308	261	3	conclusion	conclusion	NOUN
ijassa-1308	261	4	in	in	ADP
ijassa-1308	261	5	this	this	DET
ijassa-1308	261	6	paper	paper	NOUN
ijassa-1308	261	7	we	we	PRON
ijassa-1308	261	8	presented	present	VERB
ijassa-1308	261	9	the	the	DET
ijassa-1308	261	10	initial	initial	ADJ
ijassa-1308	261	11	results	result	NOUN
ijassa-1308	261	12	of	of	ADP
ijassa-1308	261	13	measuring	measure	VERB
ijassa-1308	261	14	the	the	DET
ijassa-1308	261	15	influence	influence	NOUN
ijassa-1308	261	16	of	of	ADP
ijassa-1308	261	17	samples	sample	NOUN
ijassa-1308	261	18	morphology	morphology	NOUN
ijassa-1308	261	19	on	on	ADP
ijassa-1308	261	20	cnn	cnn	PROPN
ijassa-1308	261	21	-	-	PUNCT
ijassa-1308	261	22	based	base	VERB
ijassa-1308	261	23	segmentation	segmentation	NOUN
ijassa-1308	261	24	quality	quality	NOUN
ijassa-1308	261	25	.	.	PUNCT
ijassa-1308	262	1	to	to	PART
ijassa-1308	262	2	do	do	VERB
ijassa-1308	262	3	this	this	PRON
ijassa-1308	262	4	,	,	PUNCT
ijassa-1308	262	5	we	we	PRON
ijassa-1308	262	6	segmented	segment	VERB
ijassa-1308	262	7	four	four	NUM
ijassa-1308	262	8	different	different	ADJ
ijassa-1308	262	9	copyright	copyright	NOUN
ijassa-1308	262	10	©	©	ADP
ijassa-1308	262	11	2022	2022	NUM
ijassa-1308	262	12	assa	assa	NOUN
ijassa-1308	262	13	.	.	PUNCT
ijassa-1308	263	1	adv	adv	PROPN
ijassa-1308	263	2	syst	syst	PROPN
ijassa-1308	263	3	sci	sci	PROPN
ijassa-1308	263	4	appl	appl	PROPN
ijassa-1308	263	5	(	(	PUNCT
ijassa-1308	263	6	2022	2022	NUM
ijassa-1308	263	7	)	)	PUNCT
ijassa-1308	263	8	the	the	DET
ijassa-1308	263	9	influence	influence	NOUN
ijassa-1308	263	10	of	of	ADP
ijassa-1308	263	11	image	image	NOUN
ijassa-1308	263	12	morphology	morphology	NOUN
ijassa-1308	263	13	...	...	PUNCT
ijassa-1308	263	14	45	45	NUM
ijassa-1308	263	15	sx	sx	NOUN
ijassa-1308	263	16	2	2	NUM
ijassa-1308	263	17	sy	sy	PROPN
ijassa-1308	263	18	2	2	NUM
ijassa-1308	263	19	sz	sz	NOUN
ijassa-1308	263	20	2	2	NUM
ijassa-1308	263	21	lx	lx	ADP
ijassa-1308	263	22	2	2	NUM
ijassa-1308	263	23	ly	ly	ADP
ijassa-1308	263	24	2	2	NUM
ijassa-1308	263	25	lz	lz	ADP
ijassa-1308	263	26	2	2	NUM
ijassa-1308	263	27	f	f	NOUN
ijassa-1308	263	28	x	x	NOUN
ijassa-1308	263	29	ss	ss	NOUN
ijassa-1308	263	30	f	f	PROPN
ijassa-1308	264	1	y	y	PROPN
ijassa-1308	264	2	ss	ss	PROPN
ijassa-1308	265	1	f	f	PROPN
ijassa-1308	265	2	z	z	NOUN
ijassa-1308	265	3	ss	ss	PROPN
ijassa-1308	265	4	fig	fig	NOUN
ijassa-1308	265	5	.	.	PUNCT
ijassa-1308	266	1	5.17	5.17	NUM
ijassa-1308	266	2	.	.	PUNCT
ijassa-1308	267	1	plot	plot	NOUN
ijassa-1308	267	2	of	of	ADP
ijassa-1308	267	3	the	the	DET
ijassa-1308	267	4	used	use	VERB
ijassa-1308	267	5	correlation	correlation	NOUN
ijassa-1308	267	6	functions	function	NOUN
ijassa-1308	267	7	set	set	VERB
ijassa-1308	267	8	along	along	ADP
ijassa-1308	267	9	all	all	DET
ijassa-1308	267	10	directions	direction	NOUN
ijassa-1308	267	11	.	.	PUNCT
ijassa-1308	268	1	porous	porous	ADJ
ijassa-1308	268	2	media	medium	NOUN
ijassa-1308	268	3	samples	sample	NOUN
ijassa-1308	268	4	using	use	VERB
ijassa-1308	268	5	an	an	DET
ijassa-1308	268	6	unsupervised	unsupervised	ADJ
ijassa-1308	268	7	converging	converge	VERB
ijassa-1308	268	8	active	active	ADJ
ijassa-1308	268	9	contours	contours	NOUN
ijassa-1308	268	10	algorithm	algorithm	PROPN
ijassa-1308	268	11	.	.	PUNCT
ijassa-1308	269	1	next	next	ADV
ijassa-1308	269	2	,	,	PUNCT
ijassa-1308	269	3	we	we	PRON
ijassa-1308	269	4	obtained	obtain	VERB
ijassa-1308	269	5	the	the	DET
ijassa-1308	269	6	xct	xct	PROPN
ijassa-1308	269	7	–	–	PUNCT
ijassa-1308	269	8	ground	ground	NOUN
ijassa-1308	269	9	-	-	PUNCT
ijassa-1308	269	10	truth	truth	NOUN
ijassa-1308	269	11	pairs	pair	NOUN
ijassa-1308	269	12	for	for	ADP
ijassa-1308	269	13	these	these	DET
ijassa-1308	269	14	samples	sample	NOUN
ijassa-1308	269	15	with	with	ADP
ijassa-1308	269	16	the	the	DET
ijassa-1308	269	17	help	help	NOUN
ijassa-1308	269	18	of	of	ADP
ijassa-1308	269	19	synthetic	synthetic	ADJ
ijassa-1308	269	20	tomography	tomography	NOUN
ijassa-1308	269	21	algorithm	algorithm	NOUN
ijassa-1308	269	22	.	.	PUNCT
ijassa-1308	270	1	we	we	PRON
ijassa-1308	270	2	acquired	acquire	VERB
ijassa-1308	270	3	a	a	DET
ijassa-1308	270	4	set	set	NOUN
ijassa-1308	270	5	of	of	ADP
ijassa-1308	270	6	samples	sample	NOUN
ijassa-1308	270	7	with	with	ADP
ijassa-1308	270	8	varying	vary	VERB
ijassa-1308	270	9	degrees	degree	NOUN
ijassa-1308	270	10	of	of	ADP
ijassa-1308	270	11	morphological	morphological	ADJ
ijassa-1308	270	12	properties	property	NOUN
ijassa-1308	270	13	similar	similar	ADJ
ijassa-1308	270	14	to	to	ADP
ijassa-1308	270	15	the	the	DET
ijassa-1308	270	16	original	original	ADJ
ijassa-1308	270	17	stacks	stack	NOUN
ijassa-1308	270	18	with	with	ADP
ijassa-1308	270	19	the	the	DET
ijassa-1308	270	20	help	help	NOUN
ijassa-1308	270	21	of	of	ADP
ijassa-1308	270	22	stochastic	stochastic	ADJ
ijassa-1308	270	23	reconstructions	reconstruction	NOUN
ijassa-1308	270	24	.	.	PUNCT
ijassa-1308	271	1	we	we	PRON
ijassa-1308	271	2	trained	train	VERB
ijassa-1308	271	3	u	u	ADJ
ijassa-1308	271	4	-	-	ADJ
ijassa-1308	271	5	net	net	ADJ
ijassa-1308	271	6	model	model	NOUN
ijassa-1308	271	7	with	with	ADP
ijassa-1308	271	8	resnet50	resnet50	NOUN
ijassa-1308	271	9	encoder	encoder	NOUN
ijassa-1308	271	10	on	on	ADP
ijassa-1308	271	11	pairs	pair	NOUN
ijassa-1308	271	12	for	for	ADP
ijassa-1308	271	13	the	the	DET
ijassa-1308	271	14	original	original	ADJ
ijassa-1308	271	15	porous	porous	ADJ
ijassa-1308	271	16	media	medium	NOUN
ijassa-1308	271	17	samples	sample	NOUN
ijassa-1308	271	18	.	.	PUNCT
ijassa-1308	272	1	next	next	ADV
ijassa-1308	272	2	,	,	PUNCT
ijassa-1308	272	3	we	we	PRON
ijassa-1308	272	4	assessed	assess	VERB
ijassa-1308	272	5	the	the	DET
ijassa-1308	272	6	segmentation	segmentation	NOUN
ijassa-1308	272	7	quality	quality	NOUN
ijassa-1308	272	8	of	of	ADP
ijassa-1308	272	9	synthetic	synthetic	ADJ
ijassa-1308	272	10	xct	xct	PROPN
ijassa-1308	272	11	obtained	obtain	VERB
ijassa-1308	272	12	from	from	ADP
ijassa-1308	272	13	stochastically	stochastically	ADV
ijassa-1308	272	14	reconstructed	reconstruct	VERB
ijassa-1308	272	15	samples	sample	NOUN
ijassa-1308	272	16	,	,	PUNCT
ijassa-1308	272	17	and	and	CCONJ
ijassa-1308	272	18	checked	check	VERB
ijassa-1308	272	19	the	the	DET
ijassa-1308	272	20	effect	effect	NOUN
ijassa-1308	272	21	of	of	ADP
ijassa-1308	272	22	morphological	morphological	ADJ
ijassa-1308	272	23	properties	property	NOUN
ijassa-1308	272	24	on	on	ADP
ijassa-1308	272	25	the	the	DET
ijassa-1308	272	26	segmentation	segmentation	NOUN
ijassa-1308	272	27	quality	quality	NOUN
ijassa-1308	272	28	.	.	PUNCT
ijassa-1308	273	1	based	base	VERB
ijassa-1308	273	2	on	on	ADP
ijassa-1308	273	3	the	the	DET
ijassa-1308	273	4	metrics	metric	NOUN
ijassa-1308	273	5	,	,	PUNCT
ijassa-1308	273	6	we	we	PRON
ijassa-1308	273	7	concluded	conclude	VERB
ijassa-1308	273	8	that	that	SCONJ
ijassa-1308	273	9	the	the	DET
ijassa-1308	273	10	quality	quality	NOUN
ijassa-1308	273	11	of	of	ADP
ijassa-1308	273	12	segmentation	segmentation	NOUN
ijassa-1308	273	13	is	be	AUX
ijassa-1308	273	14	influenced	influence	VERB
ijassa-1308	273	15	more	more	ADV
ijassa-1308	273	16	by	by	ADP
ijassa-1308	273	17	the	the	DET
ijassa-1308	273	18	morphological	morphological	ADJ
ijassa-1308	273	19	differences	difference	NOUN
ijassa-1308	273	20	between	between	ADP
ijassa-1308	273	21	the	the	DET
ijassa-1308	273	22	original	original	ADJ
ijassa-1308	273	23	soil	soil	NOUN
ijassa-1308	273	24	samples	sample	NOUN
ijassa-1308	273	25	than	than	ADP
ijassa-1308	273	26	by	by	ADP
ijassa-1308	273	27	difference	difference	NOUN
ijassa-1308	273	28	from	from	ADP
ijassa-1308	273	29	copyright	copyright	NOUN
ijassa-1308	273	30	©	©	PROPN
ijassa-1308	273	31	2022	2022	NUM
ijassa-1308	273	32	assa	assa	NOUN
ijassa-1308	273	33	.	.	PUNCT
ijassa-1308	274	1	adv	adv	PROPN
ijassa-1308	274	2	syst	syst	PROPN
ijassa-1308	274	3	sci	sci	PROPN
ijassa-1308	274	4	appl	appl	PROPN
ijassa-1308	274	5	(	(	PUNCT
ijassa-1308	274	6	2022	2022	NUM
ijassa-1308	274	7	)	)	PUNCT
ijassa-1308	274	8	46	46	NUM
ijassa-1308	274	9	efim	efim	NOUN
ijassa-1308	275	1	v.	v.	ADP
ijassa-1308	275	2	lavrukhin	lavrukhin	NOUN
ijassa-1308	275	3	,	,	PUNCT
ijassa-1308	275	4	vasily	vasily	NOUN
ijassa-1308	275	5	postnicov	postnicov	NOUN
ijassa-1308	275	6	,	,	PUNCT
ijassa-1308	275	7	kirill	kirill	PROPN
ijassa-1308	275	8	m.	m.	PROPN
ijassa-1308	275	9	gerke	gerke	PROPN
ijassa-1308	275	10	the	the	DET
ijassa-1308	275	11	generated	generate	VERB
ijassa-1308	275	12	stochastic	stochastic	ADJ
ijassa-1308	275	13	reconstructions	reconstruction	NOUN
ijassa-1308	275	14	.	.	PUNCT
ijassa-1308	276	1	we	we	PRON
ijassa-1308	276	2	discussed	discuss	VERB
ijassa-1308	276	3	possible	possible	ADJ
ijassa-1308	276	4	ways	way	NOUN
ijassa-1308	276	5	to	to	PART
ijassa-1308	276	6	improve	improve	VERB
ijassa-1308	276	7	the	the	DET
ijassa-1308	276	8	future	future	ADJ
ijassa-1308	276	9	model	model	NOUN
ijassa-1308	276	10	experiment	experiment	NOUN
ijassa-1308	276	11	design	design	NOUN
ijassa-1308	276	12	in	in	ADP
ijassa-1308	276	13	order	order	NOUN
ijassa-1308	276	14	to	to	PART
ijassa-1308	276	15	finally	finally	ADV
ijassa-1308	276	16	uncover	uncover	VERB
ijassa-1308	276	17	the	the	DET
ijassa-1308	276	18	relationship	relationship	NOUN
ijassa-1308	276	19	between	between	ADP
ijassa-1308	276	20	morphology	morphology	NOUN
ijassa-1308	276	21	variations	variation	NOUN
ijassa-1308	276	22	ans	an	NOUN
ijassa-1308	276	23	segmentation	segmentation	NOUN
ijassa-1308	276	24	accuracies	accuracy	NOUN
ijassa-1308	276	25	.	.	PUNCT
ijassa-1308	277	1	the	the	DET
ijassa-1308	277	2	results	result	NOUN
ijassa-1308	277	3	as	as	SCONJ
ijassa-1308	277	4	presented	present	VERB
ijassa-1308	277	5	here	here	ADV
ijassa-1308	277	6	can	can	AUX
ijassa-1308	277	7	help	help	VERB
ijassa-1308	277	8	in	in	ADP
ijassa-1308	277	9	simplifying	simplify	VERB
ijassa-1308	277	10	the	the	DET
ijassa-1308	277	11	construction	construction	NOUN
ijassa-1308	277	12	of	of	ADP
ijassa-1308	277	13	a	a	DET
ijassa-1308	277	14	general	general	ADJ
ijassa-1308	277	15	segmentation	segmentation	NOUN
ijassa-1308	277	16	pipelines	pipeline	NOUN
ijassa-1308	277	17	.	.	PUNCT
ijassa-1308	278	1	we	we	PRON
ijassa-1308	278	2	showed	show	VERB
ijassa-1308	278	3	that	that	SCONJ
ijassa-1308	278	4	it	it	PRON
ijassa-1308	278	5	is	be	AUX
ijassa-1308	278	6	not	not	PART
ijassa-1308	278	7	necessary	necessary	ADJ
ijassa-1308	278	8	to	to	PART
ijassa-1308	278	9	segment	segment	VERB
ijassa-1308	278	10	the	the	DET
ijassa-1308	278	11	original	original	ADJ
ijassa-1308	278	12	images	image	NOUN
ijassa-1308	278	13	perfectly	perfectly	ADV
ijassa-1308	278	14	.	.	PUNCT
ijassa-1308	279	1	to	to	PART
ijassa-1308	279	2	build	build	VERB
ijassa-1308	279	3	a	a	DET
ijassa-1308	279	4	universal	universal	ADJ
ijassa-1308	279	5	pipeline	pipeline	NOUN
ijassa-1308	279	6	,	,	PUNCT
ijassa-1308	279	7	it	it	PRON
ijassa-1308	279	8	is	be	AUX
ijassa-1308	279	9	necessary	necessary	ADJ
ijassa-1308	279	10	to	to	PART
ijassa-1308	279	11	continue	continue	VERB
ijassa-1308	279	12	this	this	DET
ijassa-1308	279	13	research	research	NOUN
ijassa-1308	279	14	direction	direction	NOUN
ijassa-1308	279	15	with	with	ADP
ijassa-1308	279	16	a	a	DET
ijassa-1308	279	17	much	much	ADV
ijassa-1308	279	18	larger	large	ADJ
ijassa-1308	279	19	library	library	NOUN
ijassa-1308	279	20	of	of	ADP
ijassa-1308	279	21	images	image	NOUN
ijassa-1308	279	22	with	with	ADP
ijassa-1308	279	23	various	various	ADJ
ijassa-1308	279	24	morphological	morphological	ADJ
ijassa-1308	279	25	properties	property	NOUN
ijassa-1308	279	26	.	.	PUNCT
ijassa-1308	280	1	acknowledgements	acknowledgement	NOUN
ijassa-1308	280	2	this	this	DET
ijassa-1308	280	3	work	work	NOUN
ijassa-1308	280	4	was	be	AUX
ijassa-1308	280	5	supported	support	VERB
ijassa-1308	280	6	by	by	ADP
ijassa-1308	280	7	the	the	DET
ijassa-1308	280	8	russian	russian	ADJ
ijassa-1308	280	9	foundation	foundation	NOUN
ijassa-1308	280	10	for	for	ADP
ijassa-1308	280	11	basic	basic	ADJ
ijassa-1308	280	12	research	research	NOUN
ijassa-1308	280	13	grant	grant	NOUN
ijassa-1308	280	14	20	20	NUM
ijassa-1308	280	15	-	-	PUNCT
ijassa-1308	280	16	3190118\20	3190118\20	NOUN
ijassa-1308	280	17	(	(	PUNCT
ijassa-1308	280	18	the	the	DET
ijassa-1308	280	19	application	application	NOUN
ijassa-1308	280	20	of	of	ADP
ijassa-1308	280	21	neural	neural	ADJ
ijassa-1308	280	22	networks	network	NOUN
ijassa-1308	280	23	to	to	PART
ijassa-1308	280	24	solve	solve	VERB
ijassa-1308	280	25	the	the	DET
ijassa-1308	280	26	problem	problem	NOUN
ijassa-1308	280	27	of	of	ADP
ijassa-1308	280	28	optimal	optimal	ADJ
ijassa-1308	280	29	segmentation	segmentation	NOUN
ijassa-1308	280	30	of	of	ADP
ijassa-1308	280	31	tomographic	tomographic	ADJ
ijassa-1308	280	32	images	image	NOUN
ijassa-1308	280	33	of	of	ADP
ijassa-1308	280	34	geological	geological	ADJ
ijassa-1308	280	35	rocks	rock	NOUN
ijassa-1308	280	36	)	)	PUNCT
ijassa-1308	280	37	.	.	PUNCT
ijassa-1308	281	1	references	reference	NOUN
ijassa-1308	281	2	1	1	NUM
ijassa-1308	281	3	.	.	PUNCT
ijassa-1308	282	1	van	van	PROPN
ijassa-1308	282	2	aarle	aarle	PROPN
ijassa-1308	282	3	,	,	PUNCT
ijassa-1308	282	4	w.	w.	PROPN
ijassa-1308	282	5	et	et	PROPN
ijassa-1308	282	6	al	al	PROPN
ijassa-1308	282	7	.	.	PROPN
ijassa-1308	282	8	(	(	PUNCT
ijassa-1308	282	9	2015	2015	NUM
ijassa-1308	282	10	)	)	PUNCT
ijassa-1308	282	11	.	.	PUNCT
ijassa-1308	283	1	the	the	DET
ijassa-1308	283	2	astra	astra	PROPN
ijassa-1308	283	3	toolbox	toolbox	NOUN
ijassa-1308	283	4	:	:	PUNCT
ijassa-1308	283	5	a	a	DET
ijassa-1308	283	6	platform	platform	NOUN
ijassa-1308	283	7	for	for	ADP
ijassa-1308	283	8	advanced	advanced	ADJ
ijassa-1308	283	9	algorithm	algorithm	NOUN
ijassa-1308	283	10	development	development	NOUN
ijassa-1308	283	11	in	in	ADP
ijassa-1308	283	12	electron	electron	NOUN
ijassa-1308	283	13	tomography	tomography	NOUN
ijassa-1308	283	14	.	.	PUNCT
ijassa-1308	284	1	ultramicroscopy	ultramicroscopy	NOUN
ijassa-1308	284	2	,	,	PUNCT
ijassa-1308	284	3	157	157	NUM
ijassa-1308	284	4	,	,	PUNCT
ijassa-1308	284	5	35–47	35–47	NUM
ijassa-1308	284	6	.	.	NOUN
ijassa-1308	284	7	2	2	NUM
ijassa-1308	284	8	.	.	X
ijassa-1308	284	9	adler	adler	PROPN
ijassa-1308	284	10	,	,	PUNCT
ijassa-1308	284	11	p.	p.	NOUN
ijassa-1308	284	12	(	(	PUNCT
ijassa-1308	284	13	1992	1992	NUM
ijassa-1308	284	14	)	)	PUNCT
ijassa-1308	284	15	.	.	PUNCT
ijassa-1308	285	1	porous	porous	ADJ
ijassa-1308	285	2	media	medium	NOUN
ijassa-1308	285	3	:	:	PUNCT
ijassa-1308	285	4	geometry	geometry	NOUN
ijassa-1308	285	5	and	and	CCONJ
ijassa-1308	285	6	transports	transport	NOUN
ijassa-1308	285	7	.	.	PUNCT
ijassa-1308	286	1	oxford	oxford	PROPN
ijassa-1308	286	2	,	,	PUNCT
ijassa-1308	286	3	uk	uk	PROPN
ijassa-1308	286	4	:	:	PUNCT
ijassa-1308	286	5	butterworthheinemann	butterworthheinemann	NOUN
ijassa-1308	286	6	.	.	PUNCT
ijassa-1308	287	1	3	3	X
ijassa-1308	287	2	.	.	X
ijassa-1308	287	3	adler	adler	PROPN
ijassa-1308	287	4	,	,	PUNCT
ijassa-1308	287	5	p.m.	p.m.	NOUN
ijassa-1308	287	6	,	,	PUNCT
ijassa-1308	287	7	jacquin	jacquin	PROPN
ijassa-1308	287	8	,	,	PUNCT
ijassa-1308	287	9	c.g	c.g	PROPN
ijassa-1308	287	10	.	.	PROPN
ijassa-1308	287	11	&	&	CCONJ
ijassa-1308	287	12	quiblier	quiblier	PROPN
ijassa-1308	287	13	,	,	PUNCT
ijassa-1308	287	14	j.a	j.a	PROPN
ijassa-1308	287	15	.	.	PROPN
ijassa-1308	287	16	(	(	PUNCT
ijassa-1308	287	17	1990	1990	NUM
ijassa-1308	287	18	)	)	PUNCT
ijassa-1308	287	19	.	.	PUNCT
ijassa-1308	288	1	flow	flow	NOUN
ijassa-1308	288	2	in	in	ADP
ijassa-1308	288	3	simulated	simulated	ADJ
ijassa-1308	288	4	porous	porous	ADJ
ijassa-1308	288	5	media	medium	NOUN
ijassa-1308	288	6	.	.	PUNCT
ijassa-1308	289	1	int	int	NOUN
ijassa-1308	289	2	.	.	PUNCT
ijassa-1308	290	1	j.	j.	PROPN
ijassa-1308	290	2	multiph	multiph	PROPN
ijassa-1308	290	3	.	.	PUNCT
ijassa-1308	291	1	flow	flow	NOUN
ijassa-1308	291	2	16	16	NUM
ijassa-1308	291	3	,	,	PUNCT
ijassa-1308	291	4	691–712	691–712	NUM
ijassa-1308	291	5	.	.	PUNCT
ijassa-1308	292	1	https://doi.org/10.1016/0301-9322(90)90025-e	https://doi.org/10.1016/0301-9322(90)90025-e	PROPN
ijassa-1308	292	2	4	4	NUM
ijassa-1308	292	3	.	.	X
ijassa-1308	293	1	albert	albert	PROPN
ijassa-1308	293	2	,	,	PUNCT
ijassa-1308	293	3	a.	a.	PROPN
ijassa-1308	293	4	,	,	PUNCT
ijassa-1308	293	5	kaur	kaur	PROPN
ijassa-1308	293	6	,	,	PUNCT
ijassa-1308	293	7	j.	j.	PROPN
ijassa-1308	293	8	,	,	PUNCT
ijassa-1308	293	9	&	&	CCONJ
ijassa-1308	293	10	gonzales	gonzales	PROPN
ijassa-1308	293	11	,	,	PUNCT
ijassa-1308	293	12	m.c	m.c	PROPN
ijassa-1308	293	13	.	.	PROPN
ijassa-1308	293	14	(	(	PUNCT
ijassa-1308	293	15	2017	2017	NUM
ijassa-1308	293	16	)	)	PUNCT
ijassa-1308	293	17	using	use	VERB
ijassa-1308	293	18	convolutional	convolutional	ADJ
ijassa-1308	293	19	networks	network	NOUN
ijassa-1308	293	20	and	and	CCONJ
ijassa-1308	293	21	satellite	satellite	NOUN
ijassa-1308	293	22	imagery	imagery	NOUN
ijassa-1308	293	23	to	to	PART
ijassa-1308	293	24	identify	identify	VERB
ijassa-1308	293	25	patterns	pattern	NOUN
ijassa-1308	293	26	in	in	ADP
ijassa-1308	293	27	urban	urban	ADJ
ijassa-1308	293	28	environments	environment	NOUN
ijassa-1308	293	29	at	at	ADP
ijassa-1308	293	30	a	a	DET
ijassa-1308	293	31	large	large	ADJ
ijassa-1308	293	32	scale	scale	NOUN
ijassa-1308	293	33	.	.	PUNCT
ijassa-1308	294	1	arxiv	arxiv	NOUN
ijassa-1308	294	2	:	:	PUNCT
ijassa-1308	295	1	1704.02965v5	1704.02965v5	NUM
ijassa-1308	295	2	,	,	PUNCT
ijassa-1308	295	3	[	[	X
ijassa-1308	295	4	online	online	X
ijassa-1308	295	5	]	]	X
ijassa-1308	295	6	.	.	PUNCT
ijassa-1308	295	7	available	available	ADJ
ijassa-1308	295	8	:	:	PUNCT
ijassa-1308	295	9	https://arxiv.org/abs/1704.02965	https://arxiv.org/abs/1704.02965	PROPN
ijassa-1308	295	10	5	5	NUM
ijassa-1308	295	11	.	.	X
ijassa-1308	295	12	badrinarayanan	badrinarayanan	PROPN
ijassa-1308	296	1	v.	v.	PROPN
ijassa-1308	296	2	,	,	PUNCT
ijassa-1308	296	3	alex	alex	PROPN
ijassa-1308	296	4	k.a	k.a	PROPN
ijassa-1308	296	5	.	.	PROPN
ijassa-1308	296	6	,	,	PUNCT
ijassa-1308	296	7	cipolla	cipolla	PROPN
ijassa-1308	296	8	r.	r.	PROPN
ijassa-1308	296	9	(	(	PUNCT
ijassa-1308	296	10	2016	2016	NUM
ijassa-1308	296	11	)	)	PUNCT
ijassa-1308	296	12	segnet	segnet	NOUN
ijassa-1308	296	13	:	:	PUNCT
ijassa-1308	296	14	a	a	DET
ijassa-1308	296	15	deep	deep	ADJ
ijassa-1308	296	16	convolutional	convolutional	ADJ
ijassa-1308	296	17	encoderdecoder	encoderdecoder	NOUN
ijassa-1308	296	18	architecture	architecture	NOUN
ijassa-1308	296	19	for	for	ADP
ijassa-1308	296	20	image	image	NOUN
ijassa-1308	296	21	segmentation	segmentation	NOUN
ijassa-1308	296	22	.	.	PUNCT
ijassa-1308	297	1	arxiv	arxiv	NOUN
ijassa-1308	297	2	:	:	PUNCT
ijassa-1308	297	3	1511.00561v3	1511.00561v3	NUM
ijassa-1308	297	4	,	,	PUNCT
ijassa-1308	298	1	[	[	X
ijassa-1308	298	2	online	online	X
ijassa-1308	298	3	]	]	X
ijassa-1308	298	4	.	.	PUNCT
ijassa-1308	299	1	available	available	ADJ
ijassa-1308	299	2	:	:	PUNCT
ijassa-1308	299	3	https://arxiv.org/abs/1511.00561	https://arxiv.org/abs/1511.00561	PROPN
ijassa-1308	299	4	6	6	NUM
ijassa-1308	299	5	.	.	X
ijassa-1308	300	1	barbosa	barbosa	PROPN
ijassa-1308	300	2	,	,	PUNCT
ijassa-1308	300	3	l.a.p	l.a.p	PROPN
ijassa-1308	300	4	.	.	PROPN
ijassa-1308	300	5	,	,	PUNCT
ijassa-1308	300	6	gerke	gerke	PROPN
ijassa-1308	300	7	,	,	PUNCT
ijassa-1308	300	8	k.m	k.m	PROPN
ijassa-1308	300	9	.	.	PROPN
ijassa-1308	300	10	&	&	CCONJ
ijassa-1308	300	11	gerke	gerke	PROPN
ijassa-1308	300	12	,	,	PUNCT
ijassa-1308	300	13	h.h	h.h	PROPN
ijassa-1308	300	14	.	.	PROPN
ijassa-1308	300	15	(	(	PUNCT
ijassa-1308	300	16	2022	2022	NUM
ijassa-1308	300	17	)	)	PUNCT
ijassa-1308	300	18	.	.	PUNCT
ijassa-1308	301	1	modelling	modelling	NOUN
ijassa-1308	301	2	of	of	ADP
ijassa-1308	301	3	soil	soil	NOUN
ijassa-1308	301	4	mechanical	mechanical	ADJ
ijassa-1308	301	5	stability	stability	NOUN
ijassa-1308	301	6	and	and	CCONJ
ijassa-1308	301	7	hydraulic	hydraulic	ADJ
ijassa-1308	301	8	permeability	permeability	NOUN
ijassa-1308	301	9	of	of	ADP
ijassa-1308	301	10	the	the	DET
ijassa-1308	301	11	interface	interface	NOUN
ijassa-1308	301	12	between	between	ADP
ijassa-1308	301	13	coated	coated	ADJ
ijassa-1308	301	14	biopore	biopore	NOUN
ijassa-1308	301	15	and	and	CCONJ
ijassa-1308	301	16	matrix	matrix	VERB
ijassa-1308	301	17	pore	pore	ADJ
ijassa-1308	301	18	regions	region	NOUN
ijassa-1308	301	19	.	.	PUNCT
ijassa-1308	302	1	geoderma	geoderma	PROPN
ijassa-1308	302	2	,	,	PUNCT
ijassa-1308	302	3	410	410	NUM
ijassa-1308	302	4	,	,	PUNCT
ijassa-1308	302	5	115673	115673	NUM
ijassa-1308	302	6	.	.	PUNCT
ijassa-1308	303	1	7	7	X
ijassa-1308	303	2	.	.	X
ijassa-1308	303	3	baveye	baveye	NOUN
ijassa-1308	303	4	,	,	PUNCT
ijassa-1308	303	5	p.c	p.c	PROPN
ijassa-1308	303	6	.	.	PROPN
ijassa-1308	303	7	,	,	PUNCT
ijassa-1308	303	8	laba	laba	PROPN
ijassa-1308	303	9	,	,	PUNCT
ijassa-1308	303	10	m.	m.	NOUN
ijassa-1308	303	11	,	,	PUNCT
ijassa-1308	303	12	otten	otten	PROPN
ijassa-1308	303	13	,	,	PUNCT
ijassa-1308	303	14	w.	w.	PROPN
ijassa-1308	303	15	,	,	PUNCT
ijassa-1308	303	16	bouckaert	bouckaert	PROPN
ijassa-1308	303	17	,	,	PUNCT
ijassa-1308	303	18	l.	l.	PROPN
ijassa-1308	303	19	,	,	PUNCT
ijassa-1308	303	20	sterpaio	sterpaio	NOUN
ijassa-1308	303	21	,	,	PUNCT
ijassa-1308	303	22	p.	p.	PROPN
ijassa-1308	303	23	d.	d.	PROPN
ijassa-1308	303	24	et	et	PROPN
ijassa-1308	303	25	al	al	PROPN
ijassa-1308	303	26	.	.	PROPN
ijassa-1308	304	1	(	(	PUNCT
ijassa-1308	304	2	2010	2010	NUM
ijassa-1308	304	3	)	)	PUNCT
ijassa-1308	304	4	.	.	PUNCT
ijassa-1308	305	1	observerdependent	observerdependent	NOUN
ijassa-1308	305	2	variability	variability	NOUN
ijassa-1308	305	3	of	of	ADP
ijassa-1308	305	4	the	the	DET
ijassa-1308	305	5	thresholding	thresholde	VERB
ijassa-1308	305	6	step	step	NOUN
ijassa-1308	305	7	in	in	ADP
ijassa-1308	305	8	the	the	DET
ijassa-1308	305	9	quantitative	quantitative	ADJ
ijassa-1308	305	10	analysis	analysis	NOUN
ijassa-1308	305	11	of	of	ADP
ijassa-1308	305	12	soil	soil	NOUN
ijassa-1308	305	13	images	image	NOUN
ijassa-1308	305	14	and	and	CCONJ
ijassa-1308	305	15	x	x	NOUN
ijassa-1308	305	16	-	-	NOUN
ijassa-1308	305	17	ray	ray	NOUN
ijassa-1308	305	18	microtomography	microtomography	NOUN
ijassa-1308	305	19	data	data	PROPN
ijassa-1308	305	20	.	.	PUNCT
ijassa-1308	306	1	geoderma	geoderma	PROPN
ijassa-1308	306	2	,	,	PUNCT
ijassa-1308	306	3	157(1–2	157(1–2	NUM
ijassa-1308	306	4	)	)	PUNCT
ijassa-1308	306	5	,	,	PUNCT
ijassa-1308	306	6	51–63	51–63	NUM
ijassa-1308	306	7	.	.	NOUN
ijassa-1308	306	8	8	8	NUM
ijassa-1308	306	9	.	.	PUNCT
ijassa-1308	307	1	berg	berg	PROPN
ijassa-1308	307	2	,	,	PUNCT
ijassa-1308	307	3	s.	s.	PROPN
ijassa-1308	307	4	,	,	PUNCT
ijassa-1308	307	5	saxena	saxena	PROPN
ijassa-1308	307	6	,	,	PUNCT
ijassa-1308	307	7	n.	n.	PROPN
ijassa-1308	307	8	,	,	PUNCT
ijassa-1308	307	9	shaik	shaik	PROPN
ijassa-1308	307	10	,	,	PUNCT
ijassa-1308	307	11	m.	m.	NOUN
ijassa-1308	307	12	&	&	CCONJ
ijassa-1308	307	13	pradhan	pradhan	PROPN
ijassa-1308	307	14	,	,	PUNCT
ijassa-1308	307	15	c.	c.	PROPN
ijassa-1308	307	16	(	(	PUNCT
ijassa-1308	307	17	2018	2018	NUM
ijassa-1308	307	18	)	)	PUNCT
ijassa-1308	307	19	.	.	PUNCT
ijassa-1308	308	1	generation	generation	NOUN
ijassa-1308	308	2	of	of	ADP
ijassa-1308	308	3	ground	ground	NOUN
ijassa-1308	308	4	truth	truth	NOUN
ijassa-1308	308	5	images	image	NOUN
ijassa-1308	308	6	to	to	PART
ijassa-1308	308	7	validate	validate	VERB
ijassa-1308	308	8	micro	micro	ADJ
ijassa-1308	308	9	-	-	ADJ
ijassa-1308	308	10	ct	ct	ADJ
ijassa-1308	308	11	image	image	NOUN
ijassa-1308	308	12	-	-	PUNCT
ijassa-1308	308	13	processing	process	VERB
ijassa-1308	308	14	pipelines	pipeline	NOUN
ijassa-1308	308	15	.	.	PUNCT
ijassa-1308	309	1	the	the	DET
ijassa-1308	309	2	leading	lead	VERB
ijassa-1308	309	3	edge	edge	NOUN
ijassa-1308	309	4	,	,	PUNCT
ijassa-1308	309	5	37(6	37(6	NUM
ijassa-1308	309	6	)	)	PUNCT
ijassa-1308	309	7	,	,	PUNCT
ijassa-1308	309	8	412–420	412–420	NUM
ijassa-1308	309	9	.	.	PUNCT
ijassa-1308	309	10	9	9	NUM
ijassa-1308	309	11	.	.	X
ijassa-1308	309	12	bernal	bernal	PROPN
ijassa-1308	309	13	,	,	PUNCT
ijassa-1308	309	14	j.	j.	PROPN
ijassa-1308	309	15	,	,	PUNCT
ijassa-1308	309	16	kushibar	kushibar	PROPN
ijassa-1308	309	17	,	,	PUNCT
ijassa-1308	309	18	k.	k.	PROPN
ijassa-1308	309	19	,	,	PUNCT
ijassa-1308	309	20	asfaw	asfaw	PROPN
ijassa-1308	309	21	,	,	PUNCT
ijassa-1308	309	22	d.s	d.s	PROPN
ijassa-1308	309	23	.	.	PROPN
ijassa-1308	309	24	,	,	PUNCT
ijassa-1308	309	25	valverde	valverde	PROPN
ijassa-1308	309	26	,	,	PUNCT
ijassa-1308	309	27	s.	s.	PROPN
ijassa-1308	309	28	,	,	PUNCT
ijassa-1308	309	29	oliver	oliver	PROPN
ijassa-1308	309	30	,	,	PUNCT
ijassa-1308	309	31	a.	a.	PROPN
ijassa-1308	309	32	et	et	PROPN
ijassa-1308	309	33	al	al	PROPN
ijassa-1308	309	34	.	.	PROPN
ijassa-1308	309	35	(	(	PUNCT
ijassa-1308	309	36	2017	2017	NUM
ijassa-1308	309	37	)	)	PUNCT
ijassa-1308	309	38	deep	deep	ADJ
ijassa-1308	309	39	convolutional	convolutional	ADJ
ijassa-1308	309	40	neural	neural	ADJ
ijassa-1308	309	41	networks	network	NOUN
ijassa-1308	309	42	for	for	ADP
ijassa-1308	309	43	brain	brain	NOUN
ijassa-1308	309	44	image	image	NOUN
ijassa-1308	309	45	analysis	analysis	NOUN
ijassa-1308	309	46	on	on	ADP
ijassa-1308	309	47	magnetic	magnetic	ADJ
ijassa-1308	309	48	resonance	resonance	NOUN
ijassa-1308	309	49	imagesing	imagesing	NOUN
ijassa-1308	309	50	:	:	PUNCT
ijassa-1308	309	51	a	a	DET
ijassa-1308	309	52	review	review	NOUN
ijassa-1308	309	53	.	.	PUNCT
ijassa-1308	310	1	arxiv	arxiv	NOUN
ijassa-1308	310	2	:	:	PUNCT
ijassa-1308	311	1	1712.03747v3	1712.03747v3	NUM
ijassa-1308	311	2	,	,	PUNCT
ijassa-1308	311	3	[	[	X
ijassa-1308	311	4	online	online	X
ijassa-1308	311	5	]	]	X
ijassa-1308	311	6	.	.	PUNCT
ijassa-1308	312	1	available	available	ADJ
ijassa-1308	312	2	:	:	PUNCT
ijassa-1308	312	3	https://arxiv.org/abs/1712.03747v3	https://arxiv.org/abs/1712.03747v3	ADP
ijassa-1308	312	4	10	10	NUM
ijassa-1308	312	5	.	.	PUNCT
ijassa-1308	312	6	bilger	bilger	NOUN
ijassa-1308	312	7	,	,	PUNCT
ijassa-1308	312	8	c.	c.	PROPN
ijassa-1308	312	9	,	,	PUNCT
ijassa-1308	312	10	aboukhedr	aboukhedr	PROPN
ijassa-1308	312	11	,	,	PUNCT
ijassa-1308	312	12	m.	m.	NOUN
ijassa-1308	312	13	,	,	PUNCT
ijassa-1308	312	14	vogiatzaki	vogiatzaki	NOUN
ijassa-1308	312	15	,	,	PUNCT
ijassa-1308	312	16	k.	k.	PROPN
ijassa-1308	312	17	&	&	CCONJ
ijassa-1308	312	18	ca	can	AUX
ijassa-1308	312	19	nt	not	PART
ijassa-1308	312	20	,	,	PUNCT
ijassa-1308	312	21	r.	r.	PROPN
ijassa-1308	312	22	s.	s.	PROPN
ijassa-1308	312	23	(	(	PUNCT
ijassa-1308	312	24	2017	2017	NUM
ijassa-1308	312	25	)	)	PUNCT
ijassa-1308	312	26	.	.	PUNCT
ijassa-1308	313	1	evaluation	evaluation	NOUN
ijassa-1308	313	2	of	of	ADP
ijassa-1308	313	3	two	two	NUM
ijassa-1308	313	4	-	-	PUNCT
ijassa-1308	313	5	phase	phase	NOUN
ijassa-1308	313	6	flow	flow	NOUN
ijassa-1308	313	7	solvers	solver	NOUN
ijassa-1308	313	8	using	use	VERB
ijassa-1308	313	9	level	level	NOUN
ijassa-1308	313	10	set	set	VERB
ijassa-1308	313	11	and	and	CCONJ
ijassa-1308	313	12	volume	volume	NOUN
ijassa-1308	313	13	of	of	ADP
ijassa-1308	313	14	fluid	fluid	ADJ
ijassa-1308	313	15	methods	method	NOUN
ijassa-1308	313	16	.	.	PUNCT
ijassa-1308	314	1	journal	journal	NOUN
ijassa-1308	314	2	of	of	ADP
ijassa-1308	314	3	computational	computational	ADJ
ijassa-1308	314	4	physics	physics	NOUN
ijassa-1308	314	5	,	,	PUNCT
ijassa-1308	314	6	345	345	NUM
ijassa-1308	314	7	,	,	PUNCT
ijassa-1308	314	8	665–686	665–686	NUM
ijassa-1308	314	9	.	.	NOUN
ijassa-1308	314	10	11	11	NUM
ijassa-1308	314	11	.	.	PUNCT
ijassa-1308	315	1	blunt	blunt	ADJ
ijassa-1308	315	2	,	,	PUNCT
ijassa-1308	315	3	m.	m.	NOUN
ijassa-1308	315	4	j.	j.	PROPN
ijassa-1308	315	5	(	(	PUNCT
ijassa-1308	315	6	2017	2017	NUM
ijassa-1308	315	7	)	)	PUNCT
ijassa-1308	315	8	.	.	PUNCT
ijassa-1308	316	1	multiphase	multiphase	NOUN
ijassa-1308	316	2	flow	flow	NOUN
ijassa-1308	316	3	in	in	ADP
ijassa-1308	316	4	permeable	permeable	ADJ
ijassa-1308	316	5	media	medium	NOUN
ijassa-1308	316	6	:	:	PUNCT
ijassa-1308	316	7	a	a	DET
ijassa-1308	316	8	pore	pore	ADJ
ijassa-1308	316	9	-	-	PUNCT
ijassa-1308	316	10	scale	scale	NOUN
ijassa-1308	316	11	perspective	perspective	NOUN
ijassa-1308	316	12	.	.	PUNCT
ijassa-1308	317	1	cambridge	cambridge	PROPN
ijassa-1308	317	2	,	,	PUNCT
ijassa-1308	317	3	uk	uk	PROPN
ijassa-1308	317	4	:	:	PUNCT
ijassa-1308	317	5	cambridge	cambridge	PROPN
ijassa-1308	317	6	university	university	PROPN
ijassa-1308	317	7	press	press	NOUN
ijassa-1308	317	8	.	.	PUNCT
ijassa-1308	318	1	12	12	NUM
ijassa-1308	318	2	.	.	PUNCT
ijassa-1308	319	1	blunt	blunt	ADJ
ijassa-1308	319	2	,	,	PUNCT
ijassa-1308	319	3	m.j	m.j	PROPN
ijassa-1308	319	4	.	.	PROPN
ijassa-1308	319	5	,	,	PUNCT
ijassa-1308	319	6	bijeljic	bijeljic	PROPN
ijassa-1308	319	7	,	,	PUNCT
ijassa-1308	319	8	b.	b.	PROPN
ijassa-1308	319	9	,	,	PUNCT
ijassa-1308	319	10	dong	dong	PROPN
ijassa-1308	319	11	,	,	PUNCT
ijassa-1308	319	12	h.	h.	PROPN
ijassa-1308	319	13	,	,	PUNCT
ijassa-1308	319	14	gharbi	gharbi	PROPN
ijassa-1308	319	15	,	,	PUNCT
ijassa-1308	319	16	o.	o.	PROPN
ijassa-1308	319	17	,	,	PUNCT
ijassa-1308	319	18	iglauer	iglauer	PROPN
ijassa-1308	319	19	,	,	PUNCT
ijassa-1308	319	20	s.	s.	PROPN
ijassa-1308	319	21	et	et	PROPN
ijassa-1308	319	22	al	al	PROPN
ijassa-1308	319	23	.	.	PROPN
ijassa-1308	320	1	(	(	PUNCT
ijassa-1308	320	2	2013	2013	NUM
ijassa-1308	320	3	)	)	PUNCT
ijassa-1308	320	4	pore	pore	ADJ
ijassa-1308	320	5	-	-	PUNCT
ijassa-1308	320	6	scale	scale	NOUN
ijassa-1308	320	7	imaging	imaging	NOUN
ijassa-1308	320	8	and	and	CCONJ
ijassa-1308	320	9	modelling	modelling	NOUN
ijassa-1308	320	10	.	.	PUNCT
ijassa-1308	321	1	advances	advance	NOUN
ijassa-1308	321	2	in	in	ADP
ijassa-1308	321	3	water	water	NOUN
ijassa-1308	321	4	resources	resource	NOUN
ijassa-1308	321	5	,	,	PUNCT
ijassa-1308	321	6	51	51	NUM
ijassa-1308	321	7	,	,	PUNCT
ijassa-1308	321	8	197–216	197–216	NUM
ijassa-1308	321	9	.	.	PUNCT
ijassa-1308	322	1	https://doi.org—10.1016	https://doi.org—10.1016	PROPN
ijassa-1308	322	2	/	/	SYM
ijassa-1308	322	3	j.advwatres.2012.03.003	j.advwatres.2012.03.003	PROPN
ijassa-1308	322	4	.	.	PROPN
ijassa-1308	322	5	13	13	NUM
ijassa-1308	322	6	.	.	X
ijassa-1308	322	7	de	de	PROPN
ijassa-1308	322	8	boever	boever	PROPN
ijassa-1308	322	9	,	,	PUNCT
ijassa-1308	322	10	w.	w.	PROPN
ijassa-1308	322	11	,	,	PUNCT
ijassa-1308	322	12	derluyn	derluyn	NOUN
ijassa-1308	322	13	,	,	PUNCT
ijassa-1308	322	14	h.	h.	PROPN
ijassa-1308	322	15	,	,	PUNCT
ijassa-1308	322	16	van	van	PROPN
ijassa-1308	322	17	loo	loo	PROPN
ijassa-1308	322	18	,	,	PUNCT
ijassa-1308	322	19	d.	d.	PROPN
ijassa-1308	322	20	,	,	PUNCT
ijassa-1308	322	21	van	van	PROPN
ijassa-1308	322	22	hoorebeke	hoorebeke	PROPN
ijassa-1308	322	23	,	,	PUNCT
ijassa-1308	322	24	l.	l.	PROPN
ijassa-1308	322	25	&	&	CCONJ
ijassa-1308	322	26	cnudde	cnudde	PROPN
ijassa-1308	322	27	,	,	PUNCT
ijassa-1308	322	28	v.	v.	PROPN
ijassa-1308	322	29	(	(	PUNCT
ijassa-1308	322	30	2015	2015	NUM
ijassa-1308	322	31	)	)	PUNCT
ijassa-1308	322	32	.	.	PUNCT
ijassa-1308	323	1	datafusion	datafusion	NOUN
ijassa-1308	323	2	of	of	ADP
ijassa-1308	323	3	high	high	ADJ
ijassa-1308	323	4	resolution	resolution	NOUN
ijassa-1308	323	5	x	x	NOUN
ijassa-1308	323	6	-	-	NOUN
ijassa-1308	323	7	ray	ray	NOUN
ijassa-1308	323	8	ct	ct	PROPN
ijassa-1308	323	9	,	,	PUNCT
ijassa-1308	323	10	sem	sem	NOUN
ijassa-1308	323	11	and	and	CCONJ
ijassa-1308	323	12	eds	ed	NOUN
ijassa-1308	323	13	for	for	ADP
ijassa-1308	323	14	3d	3d	NUM
ijassa-1308	323	15	and	and	CCONJ
ijassa-1308	323	16	pseudo-3d	pseudo-3d	NOUN
ijassa-1308	323	17	chemical	chemical	NOUN
ijassa-1308	323	18	and	and	CCONJ
ijassa-1308	323	19	structural	structural	ADJ
ijassa-1308	323	20	characterization	characterization	NOUN
ijassa-1308	323	21	of	of	ADP
ijassa-1308	323	22	sandstone	sandstone	NOUN
ijassa-1308	323	23	.	.	PUNCT
ijassa-1308	324	1	micron	micron	NOUN
ijassa-1308	324	2	,	,	PUNCT
ijassa-1308	324	3	74	74	NUM
ijassa-1308	324	4	,	,	PUNCT
ijassa-1308	324	5	15–21	15–21	NUM
ijassa-1308	324	6	.	.	PUNCT
ijassa-1308	325	1	copyright	copyright	NOUN
ijassa-1308	325	2	©	©	PROPN
ijassa-1308	325	3	2022	2022	NUM
ijassa-1308	325	4	assa	assa	NOUN
ijassa-1308	325	5	.	.	PUNCT
ijassa-1308	326	1	adv	adv	PROPN
ijassa-1308	326	2	syst	syst	PROPN
ijassa-1308	326	3	sci	sci	PROPN
ijassa-1308	326	4	appl	appl	PROPN
ijassa-1308	326	5	(	(	PUNCT
ijassa-1308	326	6	2022	2022	NUM
ijassa-1308	326	7	)	)	PUNCT
ijassa-1308	326	8	the	the	DET
ijassa-1308	326	9	influence	influence	NOUN
ijassa-1308	326	10	of	of	ADP
ijassa-1308	326	11	image	image	NOUN
ijassa-1308	326	12	morphology	morphology	NOUN
ijassa-1308	326	13	...	...	PUNCT
ijassa-1308	327	1	47	47	NUM
ijassa-1308	327	2	14	14	NUM
ijassa-1308	327	3	.	.	PUNCT
ijassa-1308	327	4	bultreys	bultrey	NOUN
ijassa-1308	327	5	,	,	PUNCT
ijassa-1308	327	6	t.	t.	PROPN
ijassa-1308	327	7	,	,	PUNCT
ijassa-1308	327	8	brabant	brabant	PROPN
ijassa-1308	327	9	,	,	PUNCT
ijassa-1308	327	10	l.	l.	PROPN
ijassa-1308	327	11	,	,	PUNCT
ijassa-1308	327	12	boone	boone	PROPN
ijassa-1308	327	13	,	,	PUNCT
ijassa-1308	327	14	m.	m.	NOUN
ijassa-1308	327	15	,	,	PUNCT
ijassa-1308	327	16	cnudde	cnudde	PROPN
ijassa-1308	327	17	,	,	PUNCT
ijassa-1308	327	18	v.	v.	PROPN
ijassa-1308	327	19	,	,	PUNCT
ijassa-1308	327	20	&	&	CCONJ
ijassa-1308	327	21	van	van	PROPN
ijassa-1308	327	22	hoorebeke	hoorebeke	PROPN
ijassa-1308	327	23	,	,	PUNCT
ijassa-1308	327	24	l.	l.	PROPN
ijassa-1308	327	25	(	(	PUNCT
ijassa-1308	327	26	2013	2013	NUM
ijassa-1308	327	27	)	)	PUNCT
ijassa-1308	327	28	.	.	PUNCT
ijassa-1308	328	1	unsupervised	unsupervised	ADJ
ijassa-1308	328	2	segmentation	segmentation	NOUN
ijassa-1308	328	3	evaluation	evaluation	NOUN
ijassa-1308	328	4	measures	measure	NOUN
ijassa-1308	328	5	for	for	ADP
ijassa-1308	328	6	parameter	parameter	NOUN
ijassa-1308	328	7	optimization	optimization	NOUN
ijassa-1308	328	8	in	in	ADP
ijassa-1308	328	9	indicatorkriging	indicatorkrige	VERB
ijassa-1308	328	10	.	.	PUNCT
ijassa-1308	329	1	tomography	tomography	NOUN
ijassa-1308	329	2	of	of	ADP
ijassa-1308	329	3	materials	material	NOUN
ijassa-1308	329	4	and	and	CCONJ
ijassa-1308	329	5	structures	structure	NOUN
ijassa-1308	329	6	:	:	PUNCT
ijassa-1308	329	7	book	book	NOUN
ijassa-1308	329	8	of	of	ADP
ijassa-1308	329	9	abstracts	abstract	NOUN
ijassa-1308	329	10	:	:	PUNCT
ijassa-1308	329	11	posters	poster	NOUN
ijassa-1308	329	12	,	,	PUNCT
ijassa-1308	329	13	pp	pp	ADJ
ijassa-1308	329	14	.	.	PUNCT
ijassa-1308	330	1	147	147	NUM
ijassa-1308	330	2	–	–	PUNCT
ijassa-1308	330	3	150	150	NUM
ijassa-1308	330	4	.	.	NOUN
ijassa-1308	331	1	15	15	NUM
ijassa-1308	331	2	.	.	PUNCT
ijassa-1308	332	1	chauhan	chauhan	PROPN
ijassa-1308	332	2	,	,	PUNCT
ijassa-1308	332	3	s.	s.	PROPN
ijassa-1308	332	4	,	,	PUNCT
ijassa-1308	332	5	rühaak	rühaak	PROPN
ijassa-1308	332	6	,	,	PUNCT
ijassa-1308	332	7	w.	w.	PROPN
ijassa-1308	332	8	,	,	PUNCT
ijassa-1308	332	9	anbergen	anbergen	PROPN
ijassa-1308	332	10	,	,	PUNCT
ijassa-1308	332	11	h.	h.	PROPN
ijassa-1308	332	12	,	,	PUNCT
ijassa-1308	332	13	kabdenov	kabdenov	PROPN
ijassa-1308	332	14	,	,	PUNCT
ijassa-1308	332	15	a.	a.	NOUN
ijassa-1308	332	16	,	,	PUNCT
ijassa-1308	332	17	freise	freise	INTJ
ijassa-1308	332	18	,	,	PUNCT
ijassa-1308	332	19	m.	m.	NOUN
ijassa-1308	332	20	et	et	PROPN
ijassa-1308	332	21	al	al	PROPN
ijassa-1308	332	22	.	.	PUNCT
ijassa-1308	332	23	(	(	PUNCT
ijassa-1308	332	24	2016	2016	NUM
ijassa-1308	332	25	)	)	PUNCT
ijassa-1308	332	26	.	.	PUNCT
ijassa-1308	333	1	phase	phase	NOUN
ijassa-1308	333	2	segmentation	segmentation	NOUN
ijassa-1308	333	3	of	of	ADP
ijassa-1308	333	4	x	x	ADJ
ijassa-1308	333	5	-	-	NOUN
ijassa-1308	333	6	ray	ray	NOUN
ijassa-1308	333	7	computer	computer	NOUN
ijassa-1308	333	8	tomography	tomography	NOUN
ijassa-1308	333	9	rock	rock	NOUN
ijassa-1308	333	10	images	image	NOUN
ijassa-1308	333	11	using	use	VERB
ijassa-1308	333	12	machine	machine	NOUN
ijassa-1308	333	13	learning	learn	VERB
ijassa-1308	333	14	techniques	technique	NOUN
ijassa-1308	333	15	:	:	PUNCT
ijassa-1308	333	16	an	an	DET
ijassa-1308	333	17	accuracy	accuracy	NOUN
ijassa-1308	333	18	and	and	CCONJ
ijassa-1308	333	19	performance	performance	NOUN
ijassa-1308	333	20	study	study	NOUN
ijassa-1308	333	21	.	.	PUNCT
ijassa-1308	334	1	solid	solid	ADJ
ijassa-1308	334	2	earth	earth	NOUN
ijassa-1308	334	3	,	,	PUNCT
ijassa-1308	334	4	7(4	7(4	NUM
ijassa-1308	334	5	)	)	PUNCT
ijassa-1308	334	6	,	,	PUNCT
ijassa-1308	334	7	1125–1139	1125–1139	NUM
ijassa-1308	334	8	.	.	PUNCT
ijassa-1308	335	1	16	16	NUM
ijassa-1308	335	2	.	.	PUNCT
ijassa-1308	336	1	chauhan	chauhan	PROPN
ijassa-1308	336	2	,	,	PUNCT
ijassa-1308	336	3	s.	s.	PROPN
ijassa-1308	336	4	,	,	PUNCT
ijassa-1308	336	5	rühaak	rühaak	PROPN
ijassa-1308	336	6	,	,	PUNCT
ijassa-1308	336	7	w.	w.	PROPN
ijassa-1308	336	8	,	,	PUNCT
ijassa-1308	336	9	khan	khan	PROPN
ijassa-1308	336	10	,	,	PUNCT
ijassa-1308	336	11	f.	f.	PROPN
ijassa-1308	336	12	,	,	PUNCT
ijassa-1308	336	13	enzmann	enzmann	PROPN
ijassa-1308	336	14	,	,	PUNCT
ijassa-1308	336	15	f.	f.	PROPN
ijassa-1308	336	16	,	,	PUNCT
ijassa-1308	336	17	mielke	mielke	ADV
ijassa-1308	336	18	,	,	PUNCT
ijassa-1308	336	19	p.	p.	NOUN
ijassa-1308	336	20	et	et	NOUN
ijassa-1308	337	1	al	al	PROPN
ijassa-1308	337	2	.	.	PUNCT
ijassa-1308	338	1	(	(	PUNCT
ijassa-1308	338	2	2016	2016	NUM
ijassa-1308	338	3	)	)	PUNCT
ijassa-1308	338	4	.	.	PUNCT
ijassa-1308	339	1	processing	processing	NOUN
ijassa-1308	339	2	of	of	ADP
ijassa-1308	339	3	rock	rock	NOUN
ijassa-1308	339	4	core	core	NOUN
ijassa-1308	339	5	microtomography	microtomography	NOUN
ijassa-1308	339	6	images	image	NOUN
ijassa-1308	339	7	:	:	PUNCT
ijassa-1308	339	8	using	use	VERB
ijassa-1308	339	9	seven	seven	NUM
ijassa-1308	339	10	different	different	ADJ
ijassa-1308	339	11	machine	machine	NOUN
ijassa-1308	339	12	learning	learn	VERB
ijassa-1308	339	13	algorithms	algorithm	NOUN
ijassa-1308	339	14	.	.	PUNCT
ijassa-1308	340	1	computers	computer	NOUN
ijassa-1308	340	2	&	&	CCONJ
ijassa-1308	340	3	geosciences	geoscience	NOUN
ijassa-1308	340	4	,	,	PUNCT
ijassa-1308	340	5	86	86	NUM
ijassa-1308	340	6	,	,	PUNCT
ijassa-1308	340	7	120–128	120–128	NUM
ijassa-1308	340	8	.	.	PUNCT
ijassa-1308	341	1	17	17	NUM
ijassa-1308	341	2	.	.	PUNCT
ijassa-1308	341	3	cherkasov	cherkasov	PROPN
ijassa-1308	341	4	,	,	PUNCT
ijassa-1308	341	5	a.	a.	PROPN
ijassa-1308	341	6	,	,	PUNCT
ijassa-1308	341	7	ananev	ananev	PROPN
ijassa-1308	341	8	,	,	PUNCT
ijassa-1308	341	9	a.	a.	PROPN
ijassa-1308	341	10	,	,	PUNCT
ijassa-1308	341	11	karsanina	karsanina	PROPN
ijassa-1308	341	12	,	,	PUNCT
ijassa-1308	341	13	m.	m.	NOUN
ijassa-1308	341	14	,	,	PUNCT
ijassa-1308	341	15	khlyupin	khlyupin	PROPN
ijassa-1308	341	16	,	,	PUNCT
ijassa-1308	341	17	a.	a.	NOUN
ijassa-1308	341	18	&	&	CCONJ
ijassa-1308	341	19	gerke	gerke	PROPN
ijassa-1308	341	20	,	,	PUNCT
ijassa-1308	341	21	k.	k.	PROPN
ijassa-1308	341	22	(	(	PUNCT
ijassa-1308	341	23	2021	2021	NUM
ijassa-1308	341	24	)	)	PUNCT
ijassa-1308	341	25	adaptive	adaptive	ADJ
ijassa-1308	341	26	phase	phase	NOUN
ijassa-1308	341	27	-	-	PUNCT
ijassa-1308	341	28	retrieval	retrieval	NOUN
ijassa-1308	341	29	stochastic	stochastic	ADJ
ijassa-1308	341	30	reconstruction	reconstruction	NOUN
ijassa-1308	341	31	with	with	ADP
ijassa-1308	341	32	correlation	correlation	NOUN
ijassa-1308	341	33	functions	function	NOUN
ijassa-1308	341	34	:	:	PUNCT
ijassa-1308	341	35	three	three	NUM
ijassa-1308	341	36	-	-	PUNCT
ijassa-1308	341	37	dimensional	dimensional	ADJ
ijassa-1308	341	38	images	image	NOUN
ijassa-1308	341	39	from	from	ADP
ijassa-1308	341	40	two	two	NUM
ijassa-1308	341	41	-	-	PUNCT
ijassa-1308	341	42	dimensional	dimensional	ADJ
ijassa-1308	341	43	cuts	cut	NOUN
ijassa-1308	341	44	.	.	PUNCT
ijassa-1308	342	1	physical	physical	ADJ
ijassa-1308	342	2	review	review	PROPN
ijassa-1308	342	3	e	e	NOUN
ijassa-1308	342	4	,	,	PUNCT
ijassa-1308	342	5	104(3	104(3	NUM
ijassa-1308	342	6	)	)	PUNCT
ijassa-1308	342	7	,	,	PUNCT
ijassa-1308	342	8	035304	035304	NUM
ijassa-1308	342	9	.	.	PUNCT
ijassa-1308	343	1	18	18	NUM
ijassa-1308	343	2	.	.	PUNCT
ijassa-1308	344	1	ciresan	ciresan	PROPN
ijassa-1308	344	2	,	,	PUNCT
ijassa-1308	344	3	d.c	d.c	PROPN
ijassa-1308	344	4	.	.	PROPN
ijassa-1308	344	5	,	,	PUNCT
ijassa-1308	344	6	giusti	giusti	PROPN
ijassa-1308	344	7	,	,	PUNCT
ijassa-1308	344	8	a.	a.	NOUN
ijassa-1308	344	9	,	,	PUNCT
ijassa-1308	344	10	gambardella	gambardella	PROPN
ijassa-1308	344	11	,	,	PUNCT
ijassa-1308	344	12	l.m	l.m	PROPN
ijassa-1308	344	13	.	.	PROPN
ijassa-1308	344	14	,	,	PUNCT
ijassa-1308	344	15	&	&	CCONJ
ijassa-1308	344	16	schmidhuber	schmidhuber	PROPN
ijassa-1308	344	17	,	,	PUNCT
ijassa-1308	344	18	j.	j.	PROPN
ijassa-1308	344	19	(	(	PUNCT
ijassa-1308	344	20	2012	2012	NUM
ijassa-1308	344	21	)	)	PUNCT
ijassa-1308	344	22	deep	deep	ADJ
ijassa-1308	344	23	neural	neural	ADJ
ijassa-1308	344	24	networks	network	NOUN
ijassa-1308	344	25	segment	segment	NOUN
ijassa-1308	344	26	neuronal	neuronal	ADJ
ijassa-1308	344	27	membranes	membrane	NOUN
ijassa-1308	344	28	in	in	ADP
ijassa-1308	344	29	electron	electron	NOUN
ijassa-1308	344	30	microscopy	microscopy	NOUN
ijassa-1308	344	31	images	image	NOUN
ijassa-1308	344	32	,	,	PUNCT
ijassa-1308	344	33	proc	proc	NOUN
ijassa-1308	344	34	.	.	PUNCT
ijassa-1308	344	35	of	of	ADP
ijassa-1308	344	36	the	the	DET
ijassa-1308	344	37	25th	25th	ADJ
ijassa-1308	344	38	international	international	ADJ
ijassa-1308	344	39	conference	conference	NOUN
ijassa-1308	344	40	on	on	ADP
ijassa-1308	344	41	neural	neural	ADJ
ijassa-1308	344	42	information	information	NOUN
ijassa-1308	344	43	processing	processing	NOUN
ijassa-1308	344	44	systems	system	NOUN
ijassa-1308	344	45	,	,	PUNCT
ijassa-1308	344	46	stateline	stateline	NOUN
ijassa-1308	344	47	,	,	PUNCT
ijassa-1308	344	48	nv	nv	PROPN
ijassa-1308	344	49	,	,	PUNCT
ijassa-1308	344	50	1–9	1–9	PROPN
ijassa-1308	344	51	.	.	PROPN
ijassa-1308	344	52	19	19	NUM
ijassa-1308	344	53	.	.	PUNCT
ijassa-1308	345	1	cnudde	cnudde	VERB
ijassa-1308	345	2	,	,	PUNCT
ijassa-1308	345	3	v.	v.	PROPN
ijassa-1308	345	4	&	&	CCONJ
ijassa-1308	345	5	boone	boone	PROPN
ijassa-1308	345	6	,	,	PUNCT
ijassa-1308	345	7	m.n	m.n	PROPN
ijassa-1308	345	8	.	.	PROPN
ijassa-1308	346	1	(	(	PUNCT
ijassa-1308	346	2	2013	2013	NUM
ijassa-1308	346	3	)	)	PUNCT
ijassa-1308	346	4	high	high	ADJ
ijassa-1308	346	5	-	-	PUNCT
ijassa-1308	346	6	resolution	resolution	NOUN
ijassa-1308	346	7	x	x	NOUN
ijassa-1308	346	8	-	-	NOUN
ijassa-1308	346	9	ray	ray	NOUN
ijassa-1308	346	10	computed	compute	VERB
ijassa-1308	346	11	tomography	tomography	NOUN
ijassa-1308	346	12	in	in	ADP
ijassa-1308	346	13	geosciences	geoscience	NOUN
ijassa-1308	346	14	:	:	PUNCT
ijassa-1308	346	15	a	a	DET
ijassa-1308	346	16	review	review	NOUN
ijassa-1308	346	17	of	of	ADP
ijassa-1308	346	18	the	the	DET
ijassa-1308	346	19	current	current	ADJ
ijassa-1308	346	20	technology	technology	NOUN
ijassa-1308	346	21	and	and	CCONJ
ijassa-1308	346	22	applications	application	NOUN
ijassa-1308	346	23	.	.	PUNCT
ijassa-1308	347	1	earth	earth	NOUN
ijassa-1308	347	2	-	-	PUNCT
ijassa-1308	347	3	science	science	NOUN
ijassa-1308	347	4	reviews	review	NOUN
ijassa-1308	347	5	,	,	PUNCT
ijassa-1308	347	6	123	123	NUM
ijassa-1308	347	7	,	,	PUNCT
ijassa-1308	347	8	1–17	1–17	PROPN
ijassa-1308	347	9	.	.	PUNCT
ijassa-1308	348	1	https://doi.org/10.1016/j.earscirev.2013.04.003	https://doi.org/10.1016/j.earscirev.2013.04.003	PROPN
ijassa-1308	348	2	20	20	NUM
ijassa-1308	348	3	.	.	PUNCT
ijassa-1308	349	1	cnudde	cnudde	VERB
ijassa-1308	349	2	,	,	PUNCT
ijassa-1308	349	3	v.	v.	PROPN
ijassa-1308	349	4	,	,	PUNCT
ijassa-1308	349	5	masschaele	masschaele	PROPN
ijassa-1308	349	6	,	,	PUNCT
ijassa-1308	349	7	b.	b.	PROPN
ijassa-1308	349	8	,	,	PUNCT
ijassa-1308	349	9	dierick	dierick	PROPN
ijassa-1308	349	10	,	,	PUNCT
ijassa-1308	349	11	m.	m.	NOUN
ijassa-1308	349	12	,	,	PUNCT
ijassa-1308	349	13	vlassenbroeck	vlassenbroeck	PROPN
ijassa-1308	349	14	,	,	PUNCT
ijassa-1308	349	15	j.	j.	PROPN
ijassa-1308	349	16	,	,	PUNCT
ijassa-1308	349	17	van	van	PROPN
ijassa-1308	349	18	hoorebeke	hoorebeke	PROPN
ijassa-1308	349	19	,	,	PUNCT
ijassa-1308	349	20	l.	l.	PROPN
ijassa-1308	349	21	et	et	PROPN
ijassa-1308	349	22	al	al	PROPN
ijassa-1308	349	23	.	.	PROPN
ijassa-1308	350	1	(	(	PUNCT
ijassa-1308	350	2	2006	2006	NUM
ijassa-1308	350	3	)	)	PUNCT
ijassa-1308	350	4	.	.	PUNCT
ijassa-1308	351	1	recent	recent	ADJ
ijassa-1308	351	2	progress	progress	NOUN
ijassa-1308	351	3	in	in	ADP
ijassa-1308	351	4	x	x	NOUN
ijassa-1308	351	5	-	-	NOUN
ijassa-1308	351	6	ray	ray	NOUN
ijassa-1308	351	7	ct	ct	NOUN
ijassa-1308	351	8	as	as	ADP
ijassa-1308	351	9	a	a	DET
ijassa-1308	351	10	geosciences	geoscience	NOUN
ijassa-1308	351	11	tool	tool	NOUN
ijassa-1308	351	12	.	.	PUNCT
ijassa-1308	352	1	applied	apply	VERB
ijassa-1308	352	2	geochemistry	geochemistry	NOUN
ijassa-1308	352	3	,	,	PUNCT
ijassa-1308	352	4	21(5	21(5	NUM
ijassa-1308	352	5	)	)	PUNCT
ijassa-1308	352	6	,	,	PUNCT
ijassa-1308	352	7	826–832	826–832	NUM
ijassa-1308	352	8	.	.	NOUN
ijassa-1308	352	9	21	21	NUM
ijassa-1308	352	10	.	.	PUNCT
ijassa-1308	353	1	derossi	derossi	NOUN
ijassa-1308	353	2	,	,	PUNCT
ijassa-1308	353	3	a.	a.	NOUN
ijassa-1308	353	4	,	,	PUNCT
ijassa-1308	353	5	gerke	gerke	NOUN
ijassa-1308	353	6	,	,	PUNCT
ijassa-1308	353	7	k.m	k.m	PROPN
ijassa-1308	353	8	.	.	PROPN
ijassa-1308	353	9	,	,	PUNCT
ijassa-1308	353	10	karsanina	karsanina	PROPN
ijassa-1308	353	11	,	,	PUNCT
ijassa-1308	353	12	m.v	m.v	PROPN
ijassa-1308	353	13	.	.	PROPN
ijassa-1308	353	14	,	,	PUNCT
ijassa-1308	353	15	nicolai	nicolai	PROPN
ijassa-1308	353	16	,	,	PUNCT
ijassa-1308	353	17	b.	b.	PROPN
ijassa-1308	353	18	,	,	PUNCT
ijassa-1308	353	19	verboven	verboven	NOUN
ijassa-1308	353	20	,	,	PUNCT
ijassa-1308	353	21	b.	b.	PROPN
ijassa-1308	353	22	et	et	PROPN
ijassa-1308	353	23	al	al	PROPN
ijassa-1308	353	24	.	.	PROPN
ijassa-1308	354	1	(	(	PUNCT
ijassa-1308	354	2	2018	2018	NUM
ijassa-1308	354	3	)	)	PUNCT
ijassa-1308	354	4	.	.	PUNCT
ijassa-1308	355	1	mimicking	mimic	VERB
ijassa-1308	355	2	3d	3d	NUM
ijassa-1308	355	3	food	food	NOUN
ijassa-1308	355	4	microstructure	microstructure	NOUN
ijassa-1308	355	5	using	use	VERB
ijassa-1308	355	6	limited	limited	ADJ
ijassa-1308	355	7	statistical	statistical	ADJ
ijassa-1308	355	8	information	information	NOUN
ijassa-1308	355	9	from	from	ADP
ijassa-1308	355	10	2d	2d	NUM
ijassa-1308	355	11	crosssectional	crosssectional	ADJ
ijassa-1308	355	12	image	image	NOUN
ijassa-1308	355	13	.	.	PUNCT
ijassa-1308	356	1	journal	journal	NOUN
ijassa-1308	356	2	of	of	ADP
ijassa-1308	356	3	food	food	NOUN
ijassa-1308	356	4	engineering	engineering	NOUN
ijassa-1308	356	5	,	,	PUNCT
ijassa-1308	356	6	241(5	241(5	NUM
ijassa-1308	356	7	)	)	PUNCT
ijassa-1308	356	8	,	,	PUNCT
ijassa-1308	356	9	116–126	116–126	NUM
ijassa-1308	356	10	.	.	PUNCT
ijassa-1308	357	1	22	22	NUM
ijassa-1308	357	2	.	.	PUNCT
ijassa-1308	358	1	gerke	gerke	NOUN
ijassa-1308	358	2	,	,	PUNCT
ijassa-1308	358	3	k.m	k.m	PROPN
ijassa-1308	358	4	.	.	PROPN
ijassa-1308	358	5	et	et	PROPN
ijassa-1308	358	6	al	al	PROPN
ijassa-1308	358	7	.	.	PROPN
ijassa-1308	359	1	(	(	PUNCT
ijassa-1308	359	2	2020	2020	NUM
ijassa-1308	359	3	)	)	PUNCT
ijassa-1308	359	4	improving	improve	VERB
ijassa-1308	359	5	watershed	watershed	NOUN
ijassa-1308	359	6	-	-	PUNCT
ijassa-1308	359	7	based	base	VERB
ijassa-1308	359	8	pore	pore	ADJ
ijassa-1308	359	9	-	-	PUNCT
ijassa-1308	359	10	network	network	NOUN
ijassa-1308	359	11	extraction	extraction	NOUN
ijassa-1308	359	12	method	method	NOUN
ijassa-1308	359	13	using	use	VERB
ijassa-1308	359	14	maximum	maximum	ADV
ijassa-1308	359	15	inscribed	inscribe	VERB
ijassa-1308	359	16	ball	ball	NOUN
ijassa-1308	359	17	pore	pore	ADJ
ijassa-1308	359	18	-	-	PUNCT
ijassa-1308	359	19	body	body	NOUN
ijassa-1308	359	20	positioning	positioning	NOUN
ijassa-1308	359	21	.	.	PUNCT
ijassa-1308	360	1	advances	advance	NOUN
ijassa-1308	360	2	in	in	ADP
ijassa-1308	360	3	water	water	NOUN
ijassa-1308	360	4	resources,140	resources,140	PROPN
ijassa-1308	360	5	,	,	PUNCT
ijassa-1308	360	6	103576	103576	NUM
ijassa-1308	360	7	.	.	PUNCT
ijassa-1308	361	1	23	23	NUM
ijassa-1308	361	2	.	.	PUNCT
ijassa-1308	362	1	gerke	gerke	NOUN
ijassa-1308	362	2	,	,	PUNCT
ijassa-1308	362	3	k.m	k.m	PROPN
ijassa-1308	362	4	.	.	PROPN
ijassa-1308	362	5	,	,	PUNCT
ijassa-1308	362	6	karsanina	karsanina	PROPN
ijassa-1308	362	7	,	,	PUNCT
ijassa-1308	362	8	m.	m.	NOUN
ijassa-1308	362	9	v.	v.	PROPN
ijassa-1308	362	10	(	(	PUNCT
ijassa-1308	362	11	2015	2015	NUM
ijassa-1308	362	12	)	)	PUNCT
ijassa-1308	362	13	.	.	PUNCT
ijassa-1308	363	1	improving	improve	VERB
ijassa-1308	363	2	stochastic	stochastic	ADJ
ijassa-1308	363	3	reconstructions	reconstruction	NOUN
ijassa-1308	363	4	by	by	ADP
ijassa-1308	363	5	weighting	weight	VERB
ijassa-1308	363	6	correlation	correlation	NOUN
ijassa-1308	363	7	functions	function	NOUN
ijassa-1308	363	8	in	in	ADP
ijassa-1308	363	9	an	an	DET
ijassa-1308	363	10	objective	objective	ADJ
ijassa-1308	363	11	function	function	NOUN
ijassa-1308	363	12	.	.	PUNCT
ijassa-1308	364	1	europhysics	europhysics	PROPN
ijassa-1308	364	2	lett	lett	PROPN
ijassa-1308	364	3	.	.	PROPN
ijassa-1308	364	4	,	,	PUNCT
ijassa-1308	364	5	111	111	NUM
ijassa-1308	364	6	,	,	PUNCT
ijassa-1308	364	7	56002	56002	NUM
ijassa-1308	364	8	.	.	PUNCT
ijassa-1308	365	1	https://doi.org/10.1209/0295-5075/111/56002	https://doi.org/10.1209/0295-5075/111/56002	PROPN
ijassa-1308	366	1	24	24	NUM
ijassa-1308	366	2	.	.	PUNCT
ijassa-1308	366	3	gerke	gerke	PROPN
ijassa-1308	366	4	,	,	PUNCT
ijassa-1308	366	5	k.m	k.m	PROPN
ijassa-1308	366	6	.	.	PROPN
ijassa-1308	366	7	,	,	PUNCT
ijassa-1308	366	8	karsanina	karsanina	PROPN
ijassa-1308	366	9	,	,	PUNCT
ijassa-1308	366	10	m.	m.	PROPN
ijassa-1308	366	11	v.	v.	PROPN
ijassa-1308	366	12	&	&	CCONJ
ijassa-1308	366	13	mallants	mallants	PROPN
ijassa-1308	366	14	,	,	PUNCT
ijassa-1308	366	15	d.	d.	PROPN
ijassa-1308	366	16	(	(	PUNCT
ijassa-1308	366	17	2015	2015	NUM
ijassa-1308	366	18	)	)	PUNCT
ijassa-1308	366	19	.	.	PUNCT
ijassa-1308	367	1	universal	universal	ADJ
ijassa-1308	367	2	stochastic	stochastic	ADJ
ijassa-1308	367	3	multiscale	multiscale	ADJ
ijassa-1308	367	4	image	image	NOUN
ijassa-1308	367	5	fusion	fusion	NOUN
ijassa-1308	367	6	:	:	PUNCT
ijassa-1308	367	7	an	an	DET
ijassa-1308	367	8	example	example	NOUN
ijassa-1308	367	9	application	application	NOUN
ijassa-1308	367	10	for	for	ADP
ijassa-1308	367	11	shale	shale	NOUN
ijassa-1308	367	12	rock	rock	NOUN
ijassa-1308	367	13	.	.	PUNCT
ijassa-1308	368	1	sci	sci	PROPN
ijassa-1308	368	2	.	.	PROPN
ijassa-1308	368	3	rep	rep	PROPN
ijassa-1308	368	4	.	.	PROPN
ijassa-1308	368	5	,5	,5	PROPN
ijassa-1308	368	6	,	,	PUNCT
ijassa-1308	368	7	15880	15880	NUM
ijassa-1308	368	8	.	.	PUNCT
ijassa-1308	369	1	https://doi.org/10.1038/srep15880	https://doi.org/10.1038/srep15880	PROPN
ijassa-1308	369	2	25	25	NUM
ijassa-1308	369	3	.	.	PUNCT
ijassa-1308	370	1	gerke	gerke	PROPN
ijassa-1308	370	2	k.m	k.m	PROPN
ijassa-1308	370	3	.	.	PROPN
ijassa-1308	370	4	,	,	PUNCT
ijassa-1308	370	5	karsanina	karsanina	PROPN
ijassa-1308	370	6	m.v	m.v	PROPN
ijassa-1308	370	7	.	.	PROPN
ijassa-1308	370	8	,	,	PUNCT
ijassa-1308	371	1	sizonenko	sizonenko	PROPN
ijassa-1308	371	2	t.o	t.o	PROPN
ijassa-1308	371	3	.	.	PROPN
ijassa-1308	371	4	,	,	PUNCT
ijassa-1308	371	5	miao	miao	PROPN
ijassa-1308	371	6	x.	x.	PROPN
ijassa-1308	371	7	,	,	PUNCT
ijassa-1308	371	8	gafurova	gafurova	PROPN
ijassa-1308	371	9	d.r	d.r	PROPN
ijassa-1308	371	10	.	.	PROPN
ijassa-1308	371	11	et	et	PROPN
ijassa-1308	371	12	al	al	PROPN
ijassa-1308	371	13	.	.	PROPN
ijassa-1308	372	1	(	(	PUNCT
ijassa-1308	372	2	2017	2017	NUM
ijassa-1308	372	3	)	)	PUNCT
ijassa-1308	372	4	multi	multi	ADJ
ijassa-1308	372	5	-	-	ADJ
ijassa-1308	372	6	scale	scale	ADJ
ijassa-1308	372	7	image	image	NOUN
ijassa-1308	372	8	fusion	fusion	NOUN
ijassa-1308	372	9	of	of	ADP
ijassa-1308	372	10	x	x	NOUN
ijassa-1308	372	11	-	-	NOUN
ijassa-1308	372	12	ray	ray	NOUN
ijassa-1308	372	13	microtomography	microtomography	NOUN
ijassa-1308	372	14	and	and	CCONJ
ijassa-1308	372	15	sem	sem	NOUN
ijassa-1308	372	16	data	datum	NOUN
ijassa-1308	372	17	to	to	ADP
ijassa-1308	372	18	model	model	NOUN
ijassa-1308	372	19	flow	flow	NOUN
ijassa-1308	372	20	and	and	CCONJ
ijassa-1308	372	21	transport	transport	NOUN
ijassa-1308	372	22	properties	property	NOUN
ijassa-1308	372	23	for	for	ADP
ijassa-1308	372	24	complex	complex	ADJ
ijassa-1308	372	25	rocks	rock	NOUN
ijassa-1308	372	26	on	on	ADP
ijassa-1308	372	27	pore	pore	ADJ
ijassa-1308	372	28	-	-	PUNCT
ijassa-1308	372	29	level	level	NOUN
ijassa-1308	372	30	.	.	PUNCT
ijassa-1308	373	1	spe	spe	PROPN
ijassa-1308	373	2	russian	russian	ADJ
ijassa-1308	373	3	petroleum	petroleum	NOUN
ijassa-1308	373	4	technology	technology	PROPN
ijassa-1308	373	5	conference	conference	NOUN
ijassa-1308	373	6	moscow	moscow	PROPN
ijassa-1308	373	7	,	,	PUNCT
ijassa-1308	373	8	russia	russia	PROPN
ijassa-1308	373	9	.	.	PUNCT
ijassa-1308	374	1	https://doi.org/10.2118/187874-ms	https://doi.org/10.2118/187874-ms	PROPN
ijassa-1308	374	2	.	.	PUNCT
ijassa-1308	375	1	26	26	NUM
ijassa-1308	375	2	.	.	PUNCT
ijassa-1308	376	1	gerke	gerke	PROPN
ijassa-1308	376	2	,	,	PUNCT
ijassa-1308	376	3	k.m	k.m	PROPN
ijassa-1308	376	4	.	.	PROPN
ijassa-1308	376	5	,	,	PUNCT
ijassa-1308	376	6	karsanina	karsanina	PROPN
ijassa-1308	376	7	,	,	PUNCT
ijassa-1308	376	8	m.	m.	NOUN
ijassa-1308	376	9	v.	v.	PROPN
ijassa-1308	376	10	,	,	PUNCT
ijassa-1308	376	11	vasilyev	vasilyev	PROPN
ijassa-1308	376	12	,	,	PUNCT
ijassa-1308	376	13	r.	r.	PROPN
ijassa-1308	376	14	v.	v.	PROPN
ijassa-1308	376	15	&	&	CCONJ
ijassa-1308	376	16	mallants	mallants	PROPN
ijassa-1308	376	17	,	,	PUNCT
ijassa-1308	376	18	d.	d.	PROPN
ijassa-1308	376	19	(	(	PUNCT
ijassa-1308	376	20	2014	2014	NUM
ijassa-1308	376	21	)	)	PUNCT
ijassa-1308	376	22	.	.	PUNCT
ijassa-1308	377	1	improving	improve	VERB
ijassa-1308	377	2	pattern	pattern	NOUN
ijassa-1308	377	3	reconstruction	reconstruction	NOUN
ijassa-1308	377	4	using	use	VERB
ijassa-1308	377	5	directional	directional	ADJ
ijassa-1308	377	6	correlation	correlation	NOUN
ijassa-1308	377	7	functions	function	NOUN
ijassa-1308	377	8	.	.	PUNCT
ijassa-1308	378	1	europhysics	europhysics	PROPN
ijassa-1308	378	2	lett	lett	PROPN
ijassa-1308	378	3	.	.	PROPN
ijassa-1308	378	4	,	,	PUNCT
ijassa-1308	378	5	106	106	NUM
ijassa-1308	378	6	,	,	PUNCT
ijassa-1308	378	7	66002	66002	NUM
ijassa-1308	378	8	.	.	PUNCT
ijassa-1308	379	1	https://doi.org/10.1209/0295-5075/106/66002	https://doi.org/10.1209/0295-5075/106/66002	NOUN
ijassa-1308	380	1	27	27	NUM
ijassa-1308	380	2	.	.	PUNCT
ijassa-1308	381	1	gerke	gerke	NOUN
ijassa-1308	381	2	,	,	PUNCT
ijassa-1308	381	3	k.m	k.m	PROPN
ijassa-1308	381	4	.	.	PROPN
ijassa-1308	381	5	,	,	PUNCT
ijassa-1308	381	6	sidle	sidle	PROPN
ijassa-1308	381	7	,	,	PUNCT
ijassa-1308	381	8	r.c	r.c	PROPN
ijassa-1308	381	9	.	.	PROPN
ijassa-1308	381	10	&	&	CCONJ
ijassa-1308	381	11	mallants	mallants	PROPN
ijassa-1308	381	12	,	,	PUNCT
ijassa-1308	381	13	d.	d.	PROPN
ijassa-1308	381	14	(	(	PUNCT
ijassa-1308	381	15	2015	2015	NUM
ijassa-1308	381	16	)	)	PUNCT
ijassa-1308	381	17	.	.	PUNCT
ijassa-1308	382	1	preferential	preferential	ADJ
ijassa-1308	382	2	flow	flow	NOUN
ijassa-1308	382	3	mechanisms	mechanism	NOUN
ijassa-1308	382	4	identified	identify	VERB
ijassa-1308	382	5	from	from	ADP
ijassa-1308	382	6	staining	stain	VERB
ijassa-1308	382	7	experiments	experiment	NOUN
ijassa-1308	382	8	in	in	ADP
ijassa-1308	382	9	forested	forested	ADJ
ijassa-1308	382	10	hillslopes	hillslope	NOUN
ijassa-1308	382	11	.	.	PUNCT
ijassa-1308	383	1	hydrol	hydrol	NOUN
ijassa-1308	383	2	.	.	PUNCT
ijassa-1308	384	1	process	process	NOUN
ijassa-1308	384	2	.	.	PUNCT
ijassa-1308	385	1	,29	,29	PROPN
ijassa-1308	385	2	,	,	PUNCT
ijassa-1308	385	3	4562	4562	NUM
ijassa-1308	385	4	–	–	PUNCT
ijassa-1308	385	5	4578	4578	NUM
ijassa-1308	385	6	.	.	PUNCT
ijassa-1308	386	1	https://doi.org/10.1002/hyp.10468	https://doi.org/10.1002/hyp.10468	NOUN
ijassa-1308	386	2	28	28	NUM
ijassa-1308	386	3	.	.	PUNCT
ijassa-1308	387	1	gerke	gerke	PROPN
ijassa-1308	387	2	,	,	PUNCT
ijassa-1308	387	3	k.m	k.m	PROPN
ijassa-1308	387	4	.	.	PROPN
ijassa-1308	387	5	,	,	PUNCT
ijassa-1308	387	6	skvortsova	skvortsova	PROPN
ijassa-1308	387	7	,	,	PUNCT
ijassa-1308	387	8	e.b	e.b	PROPN
ijassa-1308	387	9	.	.	PROPN
ijassa-1308	387	10	&	&	CCONJ
ijassa-1308	387	11	korost	korost	PROPN
ijassa-1308	387	12	,	,	PUNCT
ijassa-1308	387	13	d.	d.	PROPN
ijassa-1308	387	14	v.	v.	PROPN
ijassa-1308	387	15	(	(	PUNCT
ijassa-1308	387	16	2012	2012	NUM
ijassa-1308	387	17	)	)	PUNCT
ijassa-1308	387	18	.	.	PUNCT
ijassa-1308	388	1	tomographic	tomographic	ADJ
ijassa-1308	388	2	method	method	NOUN
ijassa-1308	388	3	of	of	ADP
ijassa-1308	388	4	studying	study	VERB
ijassa-1308	388	5	soil	soil	NOUN
ijassa-1308	388	6	pore	pore	ADJ
ijassa-1308	388	7	space	space	NOUN
ijassa-1308	388	8	:	:	PUNCT
ijassa-1308	388	9	current	current	ADJ
ijassa-1308	388	10	perspectives	perspective	NOUN
ijassa-1308	388	11	and	and	CCONJ
ijassa-1308	388	12	results	result	NOUN
ijassa-1308	388	13	for	for	ADP
ijassa-1308	388	14	some	some	DET
ijassa-1308	388	15	russian	russian	ADJ
ijassa-1308	388	16	soils	soil	NOUN
ijassa-1308	388	17	.	.	PUNCT
ijassa-1308	389	1	eurasian	eurasian	ADJ
ijassa-1308	389	2	soil	soil	PROPN
ijassa-1308	389	3	sci	sci	PROPN
ijassa-1308	389	4	.	.	PROPN
ijassa-1308	389	5	,	,	PUNCT
ijassa-1308	389	6	45	45	NUM
ijassa-1308	389	7	,	,	PUNCT
ijassa-1308	389	8	700–709	700–709	NUM
ijassa-1308	389	9	.	.	PUNCT
ijassa-1308	390	1	https://doi.org/10.1134/s1064229312070034	https://doi.org/10.1134/s1064229312070034	NUM
ijassa-1308	390	2	29	29	NUM
ijassa-1308	390	3	.	.	PUNCT
ijassa-1308	391	1	gerke	gerke	PROPN
ijassa-1308	391	2	k.m	k.m	PROPN
ijassa-1308	391	3	.	.	PROPN
ijassa-1308	391	4	,	,	PUNCT
ijassa-1308	391	5	vasilyev	vasilyev	PROPN
ijassa-1308	391	6	r.v	r.v	PROPN
ijassa-1308	391	7	.	.	PROPN
ijassa-1308	391	8	,	,	PUNCT
ijassa-1308	391	9	khirevich	khirevich	PROPN
ijassa-1308	391	10	s.	s.	PROPN
ijassa-1308	391	11	,	,	PUNCT
ijassa-1308	391	12	karsanina	karsanina	PROPN
ijassa-1308	391	13	m.v	m.v	PROPN
ijassa-1308	391	14	.	.	PROPN
ijassa-1308	391	15	,	,	PUNCT
ijassa-1308	391	16	collins	collins	PROPN
ijassa-1308	391	17	d.	d.	PROPN
ijassa-1308	391	18	et	et	PROPN
ijassa-1308	391	19	al	al	PROPN
ijassa-1308	391	20	.	.	PROPN
ijassa-1308	392	1	(	(	PUNCT
ijassa-1308	392	2	2018	2018	NUM
ijassa-1308	392	3	)	)	PUNCT
ijassa-1308	392	4	finite	finite	ADJ
ijassa-1308	392	5	-	-	PUNCT
ijassa-1308	392	6	difference	difference	NOUN
ijassa-1308	392	7	method	method	NOUN
ijassa-1308	392	8	stokes	stokes	PROPN
ijassa-1308	392	9	solver	solver	PROPN
ijassa-1308	392	10	(	(	PUNCT
ijassa-1308	392	11	fdmss	fdmss	NOUN
ijassa-1308	392	12	)	)	PUNCT
ijassa-1308	392	13	for	for	ADP
ijassa-1308	392	14	3d	3d	NUM
ijassa-1308	392	15	pore	pore	ADJ
ijassa-1308	392	16	geometries	geometry	NOUN
ijassa-1308	392	17	:	:	PUNCT
ijassa-1308	392	18	software	software	NOUN
ijassa-1308	392	19	development	development	NOUN
ijassa-1308	392	20	,	,	PUNCT
ijassa-1308	392	21	validation	validation	NOUN
ijassa-1308	392	22	and	and	CCONJ
ijassa-1308	392	23	case	case	NOUN
ijassa-1308	392	24	studies	study	NOUN
ijassa-1308	392	25	.	.	PUNCT
ijassa-1308	393	1	computers	computer	NOUN
ijassa-1308	393	2	&	&	CCONJ
ijassa-1308	393	3	geosciences	geoscience	NOUN
ijassa-1308	393	4	,	,	PUNCT
ijassa-1308	393	5	114	114	NUM
ijassa-1308	393	6	,	,	PUNCT
ijassa-1308	393	7	41–58	41–58	NUM
ijassa-1308	393	8	.	.	PUNCT
ijassa-1308	394	1	https://doi.org/10.1016/j.cageo.2018.01.005	https://doi.org/10.1016/j.cageo.2018.01.005	PROPN
ijassa-1308	394	2	copyright	copyright	NOUN
ijassa-1308	394	3	©	©	ADP
ijassa-1308	394	4	2022	2022	NUM
ijassa-1308	394	5	assa	assa	NOUN
ijassa-1308	394	6	.	.	PUNCT
ijassa-1308	395	1	adv	adv	PROPN
ijassa-1308	395	2	syst	syst	PROPN
ijassa-1308	395	3	sci	sci	PROPN
ijassa-1308	395	4	appl	appl	PROPN
ijassa-1308	395	5	(	(	PUNCT
ijassa-1308	395	6	2022	2022	NUM
ijassa-1308	395	7	)	)	PUNCT
ijassa-1308	395	8	48	48	NUM
ijassa-1308	395	9	efim	efim	NOUN
ijassa-1308	395	10	v.	v.	ADP
ijassa-1308	395	11	lavrukhin	lavrukhin	NOUN
ijassa-1308	395	12	,	,	PUNCT
ijassa-1308	395	13	vasily	vasily	NOUN
ijassa-1308	395	14	postnicov	postnicov	NOUN
ijassa-1308	395	15	,	,	PUNCT
ijassa-1308	395	16	kirill	kirill	PROPN
ijassa-1308	395	17	m.	m.	PROPN
ijassa-1308	395	18	gerke	gerke	PROPN
ijassa-1308	395	19	30	30	NUM
ijassa-1308	395	20	.	.	PUNCT
ijassa-1308	396	1	godinho	godinho	PROPN
ijassa-1308	396	2	,	,	PUNCT
ijassa-1308	396	3	j.r	j.r	PROPN
ijassa-1308	396	4	.	.	PROPN
ijassa-1308	396	5	,	,	PUNCT
ijassa-1308	396	6	gerke	gerke	PROPN
ijassa-1308	396	7	,	,	PUNCT
ijassa-1308	396	8	k.m	k.m	PROPN
ijassa-1308	396	9	.	.	PROPN
ijassa-1308	396	10	,	,	PUNCT
ijassa-1308	396	11	stack	stack	NOUN
ijassa-1308	396	12	,	,	PUNCT
ijassa-1308	396	13	a.g	a.g	PROPN
ijassa-1308	396	14	.	.	PROPN
ijassa-1308	396	15	&	&	CCONJ
ijassa-1308	396	16	lee	lee	PROPN
ijassa-1308	396	17	,	,	PUNCT
ijassa-1308	396	18	p.d	p.d	PROPN
ijassa-1308	396	19	.	.	PROPN
ijassa-1308	396	20	(	(	PUNCT
ijassa-1308	396	21	2016	2016	NUM
ijassa-1308	396	22	)	)	PUNCT
ijassa-1308	396	23	the	the	DET
ijassa-1308	396	24	dynamic	dynamic	ADJ
ijassa-1308	396	25	nature	nature	NOUN
ijassa-1308	396	26	of	of	ADP
ijassa-1308	396	27	crystal	crystal	NOUN
ijassa-1308	396	28	growth	growth	NOUN
ijassa-1308	396	29	in	in	ADP
ijassa-1308	396	30	pores	pore	NOUN
ijassa-1308	396	31	.	.	PUNCT
ijassa-1308	397	1	scientific	scientific	ADJ
ijassa-1308	397	2	reports	report	NOUN
ijassa-1308	397	3	,	,	PUNCT
ijassa-1308	397	4	6	6	NUM
ijassa-1308	397	5	,	,	PUNCT
ijassa-1308	397	6	33086	33086	NUM
ijassa-1308	397	7	.	.	PUNCT
ijassa-1308	398	1	https://doi.org/10.1038/srep33086	https://doi.org/10.1038/srep33086	PROPN
ijassa-1308	398	2	31	31	NUM
ijassa-1308	398	3	.	.	PUNCT
ijassa-1308	399	1	hashemi	hashemi	PROPN
ijassa-1308	399	2	,	,	PUNCT
ijassa-1308	399	3	m.	m.	NOUN
ijassa-1308	399	4	a.	a.	PROPN
ijassa-1308	399	5	,	,	PUNCT
ijassa-1308	399	6	khaddour	khaddour	PROPN
ijassa-1308	399	7	,	,	PUNCT
ijassa-1308	399	8	g.	g.	PROPN
ijassa-1308	399	9	,	,	PUNCT
ijassa-1308	399	10	françois	françois	PROPN
ijassa-1308	399	11	,	,	PUNCT
ijassa-1308	399	12	b.	b.	PROPN
ijassa-1308	399	13	,	,	PUNCT
ijassa-1308	399	14	massart	massart	PROPN
ijassa-1308	399	15	,	,	PUNCT
ijassa-1308	399	16	t.	t.	PROPN
ijassa-1308	399	17	j.	j.	PROPN
ijassa-1308	399	18	&	&	CCONJ
ijassa-1308	399	19	salager	salager	PROPN
ijassa-1308	399	20	,	,	PUNCT
ijassa-1308	399	21	s.	s.	PROPN
ijassa-1308	399	22	(	(	PUNCT
ijassa-1308	399	23	2014	2014	NUM
ijassa-1308	399	24	)	)	PUNCT
ijassa-1308	399	25	.	.	PUNCT
ijassa-1308	400	1	a	a	DET
ijassa-1308	400	2	tomographic	tomographic	ADJ
ijassa-1308	400	3	imagery	imagery	NOUN
ijassa-1308	400	4	segmentation	segmentation	NOUN
ijassa-1308	400	5	methodology	methodology	NOUN
ijassa-1308	400	6	for	for	ADP
ijassa-1308	400	7	three	three	NUM
ijassa-1308	400	8	-	-	PUNCT
ijassa-1308	400	9	phase	phase	NOUN
ijassa-1308	400	10	geomaterials	geomaterial	NOUN
ijassa-1308	400	11	based	base	VERB
ijassa-1308	400	12	on	on	ADP
ijassa-1308	400	13	simultaneous	simultaneous	ADJ
ijassa-1308	400	14	region	region	NOUN
ijassa-1308	400	15	growing	grow	VERB
ijassa-1308	400	16	.	.	PUNCT
ijassa-1308	401	1	acta	acta	PROPN
ijassa-1308	401	2	geotechnica	geotechnica	PROPN
ijassa-1308	401	3	,	,	PUNCT
ijassa-1308	401	4	9(5	9(5	NUM
ijassa-1308	401	5	)	)	PUNCT
ijassa-1308	401	6	,	,	PUNCT
ijassa-1308	401	7	831–846	831–846	NUM
ijassa-1308	401	8	.	.	PUNCT
ijassa-1308	401	9	https://doi.org/10.1007/s11440-013-0289-5	https://doi.org/10.1007/s11440-013-0289-5	PROPN
ijassa-1308	401	10	.	.	PUNCT
ijassa-1308	402	1	32	32	NUM
ijassa-1308	402	2	.	.	PUNCT
ijassa-1308	403	1	he	he	PRON
ijassa-1308	403	2	y.	y.	PROPN
ijassa-1308	403	3	,	,	PUNCT
ijassa-1308	403	4	pu	pu	PROPN
ijassa-1308	403	5	c.	c.	PROPN
ijassa-1308	403	6	,	,	PUNCT
ijassa-1308	403	7	jing	jing	PROPN
ijassa-1308	403	8	c.	c.	PROPN
ijassa-1308	403	9	,	,	PUNCT
ijassa-1308	403	10	gu	gu	PROPN
ijassa-1308	403	11	x.	x.	PROPN
ijassa-1308	403	12	,	,	PUNCT
ijassa-1308	403	13	chen	chen	PROPN
ijassa-1308	403	14	q.	q.	PROPN
ijassa-1308	403	15	et	et	PROPN
ijassa-1308	403	16	al	al	PROPN
ijassa-1308	403	17	.	.	PROPN
ijassa-1308	403	18	(	(	PUNCT
ijassa-1308	403	19	2017	2017	NUM
ijassa-1308	403	20	)	)	PUNCT
ijassa-1308	403	21	.	.	PUNCT
ijassa-1308	404	1	reconstruction	reconstruction	NOUN
ijassa-1308	404	2	of	of	ADP
ijassa-1308	404	3	a	a	DET
ijassa-1308	404	4	digital	digital	ADJ
ijassa-1308	404	5	core	core	NOUN
ijassa-1308	404	6	containing	contain	VERB
ijassa-1308	404	7	clay	clay	NOUN
ijassa-1308	404	8	minerals	mineral	NOUN
ijassa-1308	404	9	based	base	VERB
ijassa-1308	404	10	on	on	ADP
ijassa-1308	404	11	a	a	DET
ijassa-1308	404	12	clustering	clustering	ADJ
ijassa-1308	404	13	algorithm	algorithm	NOUN
ijassa-1308	404	14	.	.	PUNCT
ijassa-1308	405	1	physical	physical	ADJ
ijassa-1308	405	2	review	review	PROPN
ijassa-1308	405	3	e	e	NOUN
ijassa-1308	405	4	,	,	PUNCT
ijassa-1308	405	5	96(4	96(4	NOUN
ijassa-1308	405	6	)	)	PUNCT
ijassa-1308	405	7	,	,	PUNCT
ijassa-1308	405	8	043304	043304	NUM
ijassa-1308	405	9	.	.	PUNCT
ijassa-1308	406	1	33	33	NUM
ijassa-1308	406	2	.	.	PUNCT
ijassa-1308	407	1	hu	hu	PROPN
ijassa-1308	407	2	,	,	PUNCT
ijassa-1308	407	3	d.	d.	PROPN
ijassa-1308	407	4	,	,	PUNCT
ijassa-1308	407	5	ronhovde	ronhovde	PROPN
ijassa-1308	407	6	,	,	PUNCT
ijassa-1308	407	7	p.	p.	PROPN
ijassa-1308	407	8	&	&	CCONJ
ijassa-1308	407	9	nussinov	nussinov	PROPN
ijassa-1308	407	10	,	,	PUNCT
ijassa-1308	407	11	z.	z.	PROPN
ijassa-1308	407	12	(	(	PUNCT
ijassa-1308	407	13	2012	2012	NUM
ijassa-1308	407	14	)	)	PUNCT
ijassa-1308	407	15	.	.	PUNCT
ijassa-1308	408	1	replica	replica	PROPN
ijassa-1308	408	2	inference	inference	NOUN
ijassa-1308	408	3	approach	approach	NOUN
ijassa-1308	408	4	to	to	ADP
ijassa-1308	408	5	unsupervised	unsupervised	ADJ
ijassa-1308	408	6	multiscale	multiscale	ADJ
ijassa-1308	408	7	image	image	NOUN
ijassa-1308	408	8	segmentation	segmentation	NOUN
ijassa-1308	408	9	.	.	PUNCT
ijassa-1308	409	1	physical	physical	ADJ
ijassa-1308	409	2	review	review	PROPN
ijassa-1308	409	3	e	e	NOUN
ijassa-1308	409	4	,	,	PUNCT
ijassa-1308	409	5	85(1	85(1	NOUN
ijassa-1308	409	6	)	)	PUNCT
ijassa-1308	409	7	,	,	PUNCT
ijassa-1308	409	8	016101	016101	NUM
ijassa-1308	409	9	.	.	PUNCT
ijassa-1308	410	1	34	34	NUM
ijassa-1308	410	2	.	.	X
ijassa-1308	410	3	iassonov	iassonov	PROPN
ijassa-1308	410	4	,	,	PUNCT
ijassa-1308	410	5	p.	p.	NOUN
ijassa-1308	410	6	,	,	PUNCT
ijassa-1308	410	7	gebrenegus	gebrenegus	NOUN
ijassa-1308	410	8	,	,	PUNCT
ijassa-1308	410	9	t.	t.	PROPN
ijassa-1308	410	10	&	&	CCONJ
ijassa-1308	410	11	tuller	tuller	NOUN
ijassa-1308	410	12	,	,	PUNCT
ijassa-1308	410	13	m.	m.	NOUN
ijassa-1308	410	14	(	(	PUNCT
ijassa-1308	410	15	2009	2009	NUM
ijassa-1308	410	16	)	)	PUNCT
ijassa-1308	410	17	.	.	PUNCT
ijassa-1308	411	1	segmentation	segmentation	NOUN
ijassa-1308	411	2	of	of	ADP
ijassa-1308	411	3	x	x	NOUN
ijassa-1308	411	4	-	-	NOUN
ijassa-1308	411	5	ray	ray	NOUN
ijassa-1308	411	6	computed	compute	VERB
ijassa-1308	411	7	tomography	tomography	NOUN
ijassa-1308	411	8	images	image	NOUN
ijassa-1308	411	9	of	of	ADP
ijassa-1308	411	10	porous	porous	ADJ
ijassa-1308	411	11	materials	material	NOUN
ijassa-1308	411	12	:	:	PUNCT
ijassa-1308	411	13	a	a	DET
ijassa-1308	411	14	crucial	crucial	ADJ
ijassa-1308	411	15	step	step	NOUN
ijassa-1308	411	16	for	for	ADP
ijassa-1308	411	17	characterization	characterization	NOUN
ijassa-1308	411	18	and	and	CCONJ
ijassa-1308	411	19	quantitative	quantitative	ADJ
ijassa-1308	411	20	analysis	analysis	NOUN
ijassa-1308	411	21	of	of	ADP
ijassa-1308	411	22	pore	pore	ADJ
ijassa-1308	411	23	structures	structure	NOUN
ijassa-1308	411	24	.	.	PUNCT
ijassa-1308	412	1	water	water	NOUN
ijassa-1308	412	2	resources	resource	NOUN
ijassa-1308	412	3	research	research	NOUN
ijassa-1308	412	4	,	,	PUNCT
ijassa-1308	412	5	45(9	45(9	NOUN
ijassa-1308	412	6	)	)	PUNCT
ijassa-1308	412	7	,	,	PUNCT
ijassa-1308	412	8	1–12	1–12	NOUN
ijassa-1308	412	9	.	.	PUNCT
ijassa-1308	413	1	35	35	NUM
ijassa-1308	413	2	.	.	PUNCT
ijassa-1308	414	1	jiao	jiao	PROPN
ijassa-1308	414	2	,	,	PUNCT
ijassa-1308	414	3	y.	y.	PROPN
ijassa-1308	414	4	&	&	CCONJ
ijassa-1308	414	5	chawla	chawla	PROPN
ijassa-1308	414	6	,	,	PUNCT
ijassa-1308	414	7	n.	n.	PROPN
ijassa-1308	414	8	(	(	PUNCT
ijassa-1308	414	9	2014	2014	NUM
ijassa-1308	414	10	)	)	PUNCT
ijassa-1308	414	11	.	.	PUNCT
ijassa-1308	415	1	modeling	modeling	NOUN
ijassa-1308	415	2	and	and	CCONJ
ijassa-1308	415	3	characterizing	characterize	VERB
ijassa-1308	415	4	anisotropic	anisotropic	NOUN
ijassa-1308	415	5	inclusion	inclusion	NOUN
ijassa-1308	415	6	orientation	orientation	NOUN
ijassa-1308	415	7	in	in	ADP
ijassa-1308	415	8	heterogeneous	heterogeneous	ADJ
ijassa-1308	415	9	material	material	NOUN
ijassa-1308	415	10	via	via	ADP
ijassa-1308	415	11	directional	directional	ADJ
ijassa-1308	415	12	cluster	cluster	NOUN
ijassa-1308	415	13	functions	function	NOUN
ijassa-1308	415	14	and	and	CCONJ
ijassa-1308	415	15	stochastic	stochastic	ADJ
ijassa-1308	415	16	microstructure	microstructure	ADJ
ijassa-1308	415	17	reconstruction	reconstruction	NOUN
ijassa-1308	415	18	.	.	PUNCT
ijassa-1308	416	1	j.	j.	PROPN
ijassa-1308	416	2	appl	appl	PROPN
ijassa-1308	416	3	.	.	PUNCT
ijassa-1308	417	1	phys	phy	NOUN
ijassa-1308	417	2	.	.	PUNCT
ijassa-1308	417	3	,	,	PUNCT
ijassa-1308	417	4	115	115	NUM
ijassa-1308	417	5	,	,	PUNCT
ijassa-1308	417	6	093511	093511	NUM
ijassa-1308	417	7	.	.	PUNCT
ijassa-1308	418	1	https://doi.org/10.1063/1.4867611	https://doi.org/10.1063/1.4867611	PROPN
ijassa-1308	418	2	36	36	NUM
ijassa-1308	418	3	.	.	PUNCT
ijassa-1308	419	1	jiao	jiao	PROPN
ijassa-1308	419	2	,	,	PUNCT
ijassa-1308	419	3	y.	y.	PROPN
ijassa-1308	419	4	,	,	PUNCT
ijassa-1308	419	5	stillinger	stillinger	AUX
ijassa-1308	419	6	,	,	PUNCT
ijassa-1308	419	7	f.h	f.h	PROPN
ijassa-1308	419	8	.	.	PROPN
ijassa-1308	419	9	&	&	CCONJ
ijassa-1308	419	10	torquato	torquato	PROPN
ijassa-1308	419	11	,	,	PUNCT
ijassa-1308	419	12	s.	s.	PROPN
ijassa-1308	419	13	(	(	PUNCT
ijassa-1308	419	14	2007	2007	NUM
ijassa-1308	419	15	)	)	PUNCT
ijassa-1308	419	16	.	.	PUNCT
ijassa-1308	420	1	modeling	model	VERB
ijassa-1308	420	2	heterogeneous	heterogeneous	ADJ
ijassa-1308	420	3	materials	material	NOUN
ijassa-1308	420	4	via	via	ADP
ijassa-1308	420	5	two	two	NUM
ijassa-1308	420	6	-	-	PUNCT
ijassa-1308	420	7	point	point	NOUN
ijassa-1308	420	8	correlation	correlation	NOUN
ijassa-1308	420	9	functions	function	NOUN
ijassa-1308	420	10	:	:	PUNCT
ijassa-1308	420	11	basic	basic	ADJ
ijassa-1308	420	12	principles	principle	NOUN
ijassa-1308	420	13	.	.	PUNCT
ijassa-1308	421	1	physical	physical	ADJ
ijassa-1308	421	2	review	review	PROPN
ijassa-1308	421	3	e	e	NOUN
ijassa-1308	421	4	,	,	PUNCT
ijassa-1308	421	5	76(3	76(3	PROPN
ijassa-1308	421	6	)	)	PUNCT
ijassa-1308	421	7	,	,	PUNCT
ijassa-1308	421	8	031110	031110	NUM
ijassa-1308	421	9	.	.	PUNCT
ijassa-1308	422	1	37	37	NUM
ijassa-1308	422	2	.	.	PUNCT
ijassa-1308	423	1	kaiming	kaiming	NOUN
ijassa-1308	423	2	,	,	PUNCT
ijassa-1308	423	3	h.	h.	PROPN
ijassa-1308	423	4	,	,	PUNCT
ijassa-1308	423	5	xiangyu	xiangyu	PROPN
ijassa-1308	423	6	,	,	PUNCT
ijassa-1308	423	7	z.	z.	PROPN
ijassa-1308	423	8	,	,	PUNCT
ijassa-1308	423	9	shaoqing	shaoqing	PROPN
ijassa-1308	423	10	,	,	PUNCT
ijassa-1308	423	11	r.	r.	PROPN
ijassa-1308	423	12	&	&	CCONJ
ijassa-1308	423	13	jian	jian	PROPN
ijassa-1308	423	14	,	,	PUNCT
ijassa-1308	423	15	s.	s.	PROPN
ijassa-1308	423	16	(	(	PUNCT
ijassa-1308	423	17	2015	2015	NUM
ijassa-1308	423	18	)	)	PUNCT
ijassa-1308	423	19	deep	deep	ADJ
ijassa-1308	423	20	residual	residual	ADJ
ijassa-1308	423	21	learning	learning	NOUN
ijassa-1308	423	22	for	for	ADP
ijassa-1308	423	23	image	image	NOUN
ijassa-1308	423	24	recognition	recognition	NOUN
ijassa-1308	423	25	.	.	PUNCT
ijassa-1308	424	1	arxiv	arxiv	NOUN
ijassa-1308	424	2	:	:	PUNCT
ijassa-1308	425	1	1512.03385	1512.03385	NUM
ijassa-1308	425	2	,	,	PUNCT
ijassa-1308	425	3	[	[	X
ijassa-1308	425	4	online	online	X
ijassa-1308	425	5	]	]	X
ijassa-1308	425	6	.	.	PUNCT
ijassa-1308	426	1	available	available	ADJ
ijassa-1308	426	2	:	:	PUNCT
ijassa-1308	426	3	https://arxiv.org/abs/1512.03385	https://arxiv.org/abs/1512.03385	PROPN
ijassa-1308	426	4	38	38	NUM
ijassa-1308	426	5	.	.	PUNCT
ijassa-1308	427	1	karimpouli	karimpouli	PROPN
ijassa-1308	427	2	,	,	PUNCT
ijassa-1308	427	3	s.	s.	PROPN
ijassa-1308	427	4	&	&	CCONJ
ijassa-1308	427	5	pejman	pejman	PROPN
ijassa-1308	427	6	,	,	PUNCT
ijassa-1308	427	7	t.	t.	PROPN
ijassa-1308	427	8	(	(	PUNCT
ijassa-1308	427	9	2019	2019	NUM
ijassa-1308	427	10	)	)	PUNCT
ijassa-1308	427	11	segmentation	segmentation	NOUN
ijassa-1308	427	12	of	of	ADP
ijassa-1308	427	13	digital	digital	ADJ
ijassa-1308	427	14	rock	rock	NOUN
ijassa-1308	427	15	images	image	NOUN
ijassa-1308	427	16	using	use	VERB
ijassa-1308	427	17	deep	deep	ADJ
ijassa-1308	427	18	convolutional	convolutional	ADJ
ijassa-1308	427	19	autoencoder	autoencoder	NOUN
ijassa-1308	427	20	networks	network	NOUN
ijassa-1308	427	21	.	.	PUNCT
ijassa-1308	428	1	computers	computer	NOUN
ijassa-1308	428	2	&	&	CCONJ
ijassa-1308	428	3	geosciences	geoscience	NOUN
ijassa-1308	428	4	,	,	PUNCT
ijassa-1308	428	5	126	126	NUM
ijassa-1308	428	6	,	,	PUNCT
ijassa-1308	428	7	142–150	142–150	NUM
ijassa-1308	428	8	.	.	NOUN
ijassa-1308	428	9	39	39	NUM
ijassa-1308	428	10	.	.	PUNCT
ijassa-1308	429	1	karsanina	karsanina	PROPN
ijassa-1308	429	2	,	,	PUNCT
ijassa-1308	429	3	m.v	m.v	PROPN
ijassa-1308	429	4	.	.	PROPN
ijassa-1308	429	5	&	&	CCONJ
ijassa-1308	429	6	gerke	gerke	PROPN
ijassa-1308	429	7	,	,	PUNCT
ijassa-1308	429	8	k.m	k.m	PROPN
ijassa-1308	429	9	.	.	PROPN
ijassa-1308	429	10	(	(	PUNCT
ijassa-1308	429	11	2018	2018	NUM
ijassa-1308	429	12	)	)	PUNCT
ijassa-1308	429	13	hierarchical	hierarchical	ADJ
ijassa-1308	429	14	optimization	optimization	NOUN
ijassa-1308	429	15	:	:	PUNCT
ijassa-1308	429	16	fast	fast	ADJ
ijassa-1308	429	17	and	and	CCONJ
ijassa-1308	429	18	robust	robust	ADJ
ijassa-1308	429	19	multiscale	multiscale	ADJ
ijassa-1308	429	20	stochastic	stochastic	ADJ
ijassa-1308	429	21	reconstructions	reconstruction	NOUN
ijassa-1308	429	22	with	with	ADP
ijassa-1308	429	23	rescaled	rescaled	ADJ
ijassa-1308	429	24	correlation	correlation	NOUN
ijassa-1308	429	25	functions	function	NOUN
ijassa-1308	429	26	.	.	PUNCT
ijassa-1308	430	1	physical	physical	ADJ
ijassa-1308	430	2	review	review	NOUN
ijassa-1308	430	3	letters	letter	NOUN
ijassa-1308	430	4	,	,	PUNCT
ijassa-1308	430	5	121(26	121(26	NUM
ijassa-1308	430	6	)	)	PUNCT
ijassa-1308	430	7	,	,	PUNCT
ijassa-1308	430	8	265501	265501	NUM
ijassa-1308	430	9	.	.	PUNCT
ijassa-1308	431	1	40	40	NUM
ijassa-1308	431	2	.	.	PUNCT
ijassa-1308	432	1	karsanina	karsanina	PROPN
ijassa-1308	432	2	,	,	PUNCT
ijassa-1308	432	3	m.v	m.v	PROPN
ijassa-1308	432	4	.	.	PROPN
ijassa-1308	432	5	,	,	PUNCT
ijassa-1308	432	6	gerke	gerke	PROPN
ijassa-1308	432	7	,	,	PUNCT
ijassa-1308	432	8	k.m	k.m	PROPN
ijassa-1308	432	9	.	.	PROPN
ijassa-1308	432	10	,	,	PUNCT
ijassa-1308	432	11	skvortsova	skvortsova	PROPN
ijassa-1308	432	12	,	,	PUNCT
ijassa-1308	432	13	e.b	e.b	PROPN
ijassa-1308	432	14	.	.	PROPN
ijassa-1308	432	15	,	,	PUNCT
ijassa-1308	432	16	ivanov	ivanov	PROPN
ijassa-1308	432	17	,	,	PUNCT
ijassa-1308	432	18	a.l	a.l	PROPN
ijassa-1308	432	19	.	.	PROPN
ijassa-1308	432	20	&	&	CCONJ
ijassa-1308	432	21	mallants	mallants	PROPN
ijassa-1308	432	22	,	,	PUNCT
ijassa-1308	432	23	d.	d.	PROPN
ijassa-1308	432	24	(	(	PUNCT
ijassa-1308	432	25	2018	2018	NUM
ijassa-1308	432	26	)	)	PUNCT
ijassa-1308	432	27	enhancing	enhance	VERB
ijassa-1308	432	28	image	image	NOUN
ijassa-1308	432	29	resolution	resolution	NOUN
ijassa-1308	432	30	of	of	ADP
ijassa-1308	432	31	soils	soil	NOUN
ijassa-1308	432	32	by	by	ADP
ijassa-1308	432	33	stochastic	stochastic	ADJ
ijassa-1308	432	34	multiscale	multiscale	ADJ
ijassa-1308	432	35	image	image	NOUN
ijassa-1308	432	36	fusion	fusion	NOUN
ijassa-1308	432	37	.	.	PUNCT
ijassa-1308	433	1	geoderma	geoderma	PROPN
ijassa-1308	433	2	,	,	PUNCT
ijassa-1308	433	3	314	314	NUM
ijassa-1308	433	4	,	,	PUNCT
ijassa-1308	433	5	138–145	138–145	NUM
ijassa-1308	433	6	.	.	PUNCT
ijassa-1308	434	1	https://doi.org/10.1016/j.geoderma.2017.10.055	https://doi.org/10.1016/j.geoderma.2017.10.055	NOUN
ijassa-1308	434	2	41	41	NUM
ijassa-1308	434	3	.	.	PUNCT
ijassa-1308	435	1	karsanina	karsanina	PROPN
ijassa-1308	435	2	,	,	PUNCT
ijassa-1308	435	3	m.v	m.v	PROPN
ijassa-1308	435	4	.	.	PROPN
ijassa-1308	435	5	,	,	PUNCT
ijassa-1308	435	6	gerke	gerke	PROPN
ijassa-1308	435	7	,	,	PUNCT
ijassa-1308	435	8	k.m	k.m	PROPN
ijassa-1308	435	9	.	.	PROPN
ijassa-1308	435	10	,	,	PUNCT
ijassa-1308	435	11	vasilyev	vasilyev	PROPN
ijassa-1308	435	12	,	,	PUNCT
ijassa-1308	435	13	r.v	r.v	PROPN
ijassa-1308	435	14	.	.	PROPN
ijassa-1308	435	15	&	&	CCONJ
ijassa-1308	435	16	korost	korost	PROPN
ijassa-1308	435	17	,	,	PUNCT
ijassa-1308	435	18	d.v	d.v	PROPN
ijassa-1308	435	19	.	.	PROPN
ijassa-1308	435	20	(	(	PUNCT
ijassa-1308	435	21	2015	2015	NUM
ijassa-1308	435	22	)	)	PUNCT
ijassa-1308	435	23	.	.	PUNCT
ijassa-1308	436	1	using	use	VERB
ijassa-1308	436	2	correlation	correlation	NOUN
ijassa-1308	436	3	functions	function	NOUN
ijassa-1308	436	4	to	to	PART
ijassa-1308	436	5	model	model	NOUN
ijassa-1308	436	6	material	material	NOUN
ijassa-1308	436	7	’s	’s	PART
ijassa-1308	436	8	structure	structure	NOUN
ijassa-1308	436	9	with	with	ADP
ijassa-1308	436	10	desired	desire	VERB
ijassa-1308	436	11	physical	physical	ADJ
ijassa-1308	436	12	properties	property	NOUN
ijassa-1308	436	13	.	.	PUNCT
ijassa-1308	437	1	math	math	NOUN
ijassa-1308	437	2	.	.	PUNCT
ijassa-1308	438	1	model	model	PROPN
ijassa-1308	438	2	.	.	PUNCT
ijassa-1308	439	1	comput	comput	NOUN
ijassa-1308	439	2	.	.	PUNCT
ijassa-1308	440	1	simulations	simulation	NOUN
ijassa-1308	440	2	,	,	PUNCT
ijassa-1308	440	3	27	27	NUM
ijassa-1308	440	4	,	,	PUNCT
ijassa-1308	440	5	50–63	50–63	NUM
ijassa-1308	440	6	.	.	PUNCT
ijassa-1308	441	1	42	42	NUM
ijassa-1308	441	2	.	.	PUNCT
ijassa-1308	442	1	khan	khan	PROPN
ijassa-1308	442	2	,	,	PUNCT
ijassa-1308	442	3	f.	f.	PROPN
ijassa-1308	442	4	,	,	PUNCT
ijassa-1308	442	5	enzmann	enzmann	PROPN
ijassa-1308	442	6	,	,	PUNCT
ijassa-1308	442	7	f.	f.	PROPN
ijassa-1308	442	8	&	&	CCONJ
ijassa-1308	442	9	kersten	kersten	PROPN
ijassa-1308	442	10	,	,	PUNCT
ijassa-1308	442	11	m.	m.	NOUN
ijassa-1308	442	12	(	(	PUNCT
ijassa-1308	442	13	2016	2016	NUM
ijassa-1308	442	14	)	)	PUNCT
ijassa-1308	442	15	.	.	PUNCT
ijassa-1308	443	1	multi	multi	ADJ
ijassa-1308	443	2	-	-	ADJ
ijassa-1308	443	3	phase	phase	NOUN
ijassa-1308	443	4	classification	classification	NOUN
ijassa-1308	443	5	by	by	ADP
ijassa-1308	443	6	a	a	DET
ijassa-1308	443	7	leastsquares	leastsquare	NOUN
ijassa-1308	443	8	support	support	VERB
ijassa-1308	443	9	vector	vector	NOUN
ijassa-1308	443	10	machine	machine	NOUN
ijassa-1308	443	11	approach	approach	NOUN
ijassa-1308	443	12	in	in	ADP
ijassa-1308	443	13	tomography	tomography	NOUN
ijassa-1308	443	14	images	image	NOUN
ijassa-1308	443	15	of	of	ADP
ijassa-1308	443	16	geological	geological	ADJ
ijassa-1308	443	17	samples	sample	NOUN
ijassa-1308	443	18	.	.	PUNCT
ijassa-1308	444	1	solid	solid	ADJ
ijassa-1308	444	2	earth	earth	NOUN
ijassa-1308	444	3	,	,	PUNCT
ijassa-1308	444	4	7(2	7(2	NUM
ijassa-1308	444	5	)	)	PUNCT
ijassa-1308	444	6	,	,	PUNCT
ijassa-1308	444	7	481–492	481–492	NUM
ijassa-1308	444	8	43	43	NUM
ijassa-1308	444	9	.	.	PUNCT
ijassa-1308	445	1	khirevich	khirevich	PROPN
ijassa-1308	445	2	,	,	PUNCT
ijassa-1308	445	3	s.	s.	PROPN
ijassa-1308	445	4	,	,	PUNCT
ijassa-1308	445	5	ginzburg	ginzburg	NOUN
ijassa-1308	445	6	,	,	PUNCT
ijassa-1308	445	7	i.	i.	PROPN
ijassa-1308	445	8	&	&	CCONJ
ijassa-1308	445	9	tallarek	tallarek	PROPN
ijassa-1308	445	10	,	,	PUNCT
ijassa-1308	445	11	u.	u.	NOUN
ijassa-1308	445	12	(	(	PUNCT
ijassa-1308	445	13	2015	2015	NUM
ijassa-1308	445	14	)	)	PUNCT
ijassa-1308	445	15	.	.	PUNCT
ijassa-1308	446	1	coarse	coarse	NOUN
ijassa-1308	446	2	-	-	PUNCT
ijassa-1308	446	3	and	and	CCONJ
ijassa-1308	446	4	fine	fine	ADJ
ijassa-1308	446	5	-	-	PUNCT
ijassa-1308	446	6	grid	grid	NOUN
ijassa-1308	446	7	numerical	numerical	ADJ
ijassa-1308	446	8	behavior	behavior	NOUN
ijassa-1308	446	9	of	of	ADP
ijassa-1308	446	10	mrt	mrt	PROPN
ijassa-1308	446	11	/	/	SYM
ijassa-1308	446	12	trt	trt	PROPN
ijassa-1308	446	13	lattice	lattice	PROPN
ijassa-1308	446	14	-	-	PUNCT
ijassa-1308	446	15	boltzmann	boltzmann	PROPN
ijassa-1308	446	16	schemes	scheme	NOUN
ijassa-1308	446	17	in	in	ADP
ijassa-1308	446	18	regular	regular	ADJ
ijassa-1308	446	19	and	and	CCONJ
ijassa-1308	446	20	random	random	ADJ
ijassa-1308	446	21	sphere	sphere	NOUN
ijassa-1308	446	22	packings	packing	NOUN
ijassa-1308	446	23	.	.	PUNCT
ijassa-1308	447	1	j.	j.	PROPN
ijassa-1308	447	2	comput	comput	PROPN
ijassa-1308	447	3	.	.	PUNCT
ijassa-1308	448	1	phys	phy	NOUN
ijassa-1308	448	2	.	.	PUNCT
ijassa-1308	448	3	,	,	PUNCT
ijassa-1308	448	4	281	281	NUM
ijassa-1308	448	5	,	,	PUNCT
ijassa-1308	448	6	708–742	708–742	NUM
ijassa-1308	448	7	.	.	PUNCT
ijassa-1308	449	1	https://doi.org/10.1016/j.jcp.2014.10.038	https://doi.org/10.1016/j.jcp.2014.10.038	PROPN
ijassa-1308	449	2	44	44	NUM
ijassa-1308	449	3	.	.	PUNCT
ijassa-1308	450	1	krizhevsky	krizhevsky	PROPN
ijassa-1308	450	2	,	,	PUNCT
ijassa-1308	450	3	a.	a.	PROPN
ijassa-1308	450	4	,	,	PUNCT
ijassa-1308	450	5	sutskever	sutskever	PROPN
ijassa-1308	450	6	i.	i.	PROPN
ijassa-1308	450	7	&	&	CCONJ
ijassa-1308	450	8	hinton	hinton	PROPN
ijassa-1308	450	9	g.e	g.e	PROPN
ijassa-1308	450	10	.	.	PUNCT
ijassa-1308	451	1	(	(	PUNCT
ijassa-1308	451	2	2012	2012	NUM
ijassa-1308	451	3	)	)	PUNCT
ijassa-1308	451	4	imagenet	imagenet	NOUN
ijassa-1308	451	5	classification	classification	NOUN
ijassa-1308	451	6	with	with	ADP
ijassa-1308	451	7	deep	deep	ADJ
ijassa-1308	451	8	convolutional	convolutional	ADJ
ijassa-1308	451	9	neural	neural	ADJ
ijassa-1308	451	10	networks	network	NOUN
ijassa-1308	451	11	.	.	PUNCT
ijassa-1308	452	1	proc	proc	PROPN
ijassa-1308	452	2	.	.	PUNCT
ijassa-1308	453	1	of	of	ADP
ijassa-1308	453	2	the	the	DET
ijassa-1308	453	3	25th	25th	ADJ
ijassa-1308	453	4	international	international	ADJ
ijassa-1308	453	5	conference	conference	NOUN
ijassa-1308	453	6	on	on	ADP
ijassa-1308	453	7	neural	neural	ADJ
ijassa-1308	453	8	information	information	NOUN
ijassa-1308	453	9	processing	processing	NOUN
ijassa-1308	453	10	systems	system	NOUN
ijassa-1308	453	11	,	,	PUNCT
ijassa-1308	453	12	stateline	stateline	NOUN
ijassa-1308	453	13	,	,	PUNCT
ijassa-1308	453	14	nv	nv	PROPN
ijassa-1308	453	15	,	,	PUNCT
ijassa-1308	453	16	1097–1105	1097–1105	NUM
ijassa-1308	453	17	.	.	PUNCT
ijassa-1308	454	1	45	45	NUM
ijassa-1308	454	2	.	.	X
ijassa-1308	454	3	latief	latief	NOUN
ijassa-1308	454	4	,	,	PUNCT
ijassa-1308	454	5	f.d.e	f.d.e	NOUN
ijassa-1308	454	6	.	.	PROPN
ijassa-1308	454	7	,	,	PUNCT
ijassa-1308	454	8	biswal	biswal	PROPN
ijassa-1308	454	9	,	,	PUNCT
ijassa-1308	454	10	b.	b.	PROPN
ijassa-1308	454	11	,	,	PUNCT
ijassa-1308	454	12	fauzi	fauzi	PROPN
ijassa-1308	454	13	,	,	PUNCT
ijassa-1308	454	14	u.	u.	PROPN
ijassa-1308	454	15	&	&	CCONJ
ijassa-1308	454	16	hilfer	hilfer	PROPN
ijassa-1308	454	17	,	,	PUNCT
ijassa-1308	454	18	r.	r.	PROPN
ijassa-1308	454	19	(	(	PUNCT
ijassa-1308	454	20	2010	2010	NUM
ijassa-1308	454	21	)	)	PUNCT
ijassa-1308	454	22	.	.	PUNCT
ijassa-1308	455	1	continuum	continuum	ADJ
ijassa-1308	455	2	reconstruction	reconstruction	NOUN
ijassa-1308	455	3	of	of	ADP
ijassa-1308	455	4	the	the	DET
ijassa-1308	455	5	pore	pore	ADJ
ijassa-1308	455	6	scale	scale	NOUN
ijassa-1308	455	7	microstructure	microstructure	NOUN
ijassa-1308	455	8	for	for	ADP
ijassa-1308	455	9	fontainebleau	fontainebleau	PROPN
ijassa-1308	455	10	sandstone	sandstone	NOUN
ijassa-1308	455	11	.	.	PUNCT
ijassa-1308	456	1	physica	physica	PROPN
ijassa-1308	456	2	a	a	DET
ijassa-1308	456	3	:	:	PUNCT
ijassa-1308	456	4	statistical	statistical	ADJ
ijassa-1308	456	5	mechanics	mechanic	NOUN
ijassa-1308	456	6	and	and	CCONJ
ijassa-1308	456	7	its	its	PRON
ijassa-1308	456	8	applications	application	NOUN
ijassa-1308	456	9	,	,	PUNCT
ijassa-1308	456	10	389(8	389(8	NUM
ijassa-1308	456	11	)	)	PUNCT
ijassa-1308	456	12	,	,	PUNCT
ijassa-1308	456	13	1607–1618	1607–1618	NUM
ijassa-1308	456	14	.	.	PUNCT
ijassa-1308	457	1	46	46	NUM
ijassa-1308	457	2	.	.	PUNCT
ijassa-1308	458	1	lavrukhin	lavrukhin	PROPN
ijassa-1308	458	2	,	,	PUNCT
ijassa-1308	458	3	e.v	e.v	PROPN
ijassa-1308	458	4	.	.	PROPN
ijassa-1308	458	5	,	,	PUNCT
ijassa-1308	458	6	gerke	gerke	PROPN
ijassa-1308	458	7	,	,	PUNCT
ijassa-1308	458	8	k.m	k.m	PROPN
ijassa-1308	458	9	.	.	PROPN
ijassa-1308	458	10	,	,	PUNCT
ijassa-1308	458	11	romanenko	romanenko	PROPN
ijassa-1308	458	12	,	,	PUNCT
ijassa-1308	458	13	k.a	k.a	PROPN
ijassa-1308	458	14	.	.	PROPN
ijassa-1308	458	15	,	,	PUNCT
ijassa-1308	458	16	abrosimov	abrosimov	PROPN
ijassa-1308	458	17	,	,	PUNCT
ijassa-1308	458	18	k.n	k.n	PROPN
ijassa-1308	458	19	.	.	PROPN
ijassa-1308	458	20	&	&	CCONJ
ijassa-1308	458	21	karsanina	karsanina	PROPN
ijassa-1308	458	22	,	,	PUNCT
ijassa-1308	458	23	m.v	m.v	PROPN
ijassa-1308	458	24	.	.	PROPN
ijassa-1308	459	1	(	(	PUNCT
ijassa-1308	459	2	2021	2021	NUM
ijassa-1308	459	3	)	)	PUNCT
ijassa-1308	459	4	assessing	assess	VERB
ijassa-1308	459	5	the	the	DET
ijassa-1308	459	6	fidelity	fidelity	NOUN
ijassa-1308	459	7	of	of	ADP
ijassa-1308	459	8	neural	neural	ADJ
ijassa-1308	459	9	network	network	NOUN
ijassa-1308	459	10	-	-	PUNCT
ijassa-1308	459	11	based	base	VERB
ijassa-1308	459	12	segmentation	segmentation	NOUN
ijassa-1308	459	13	of	of	ADP
ijassa-1308	459	14	soil	soil	NOUN
ijassa-1308	459	15	xct	xct	PROPN
ijassa-1308	459	16	images	image	NOUN
ijassa-1308	459	17	based	base	VERB
ijassa-1308	459	18	on	on	ADP
ijassa-1308	459	19	pore	pore	ADJ
ijassa-1308	459	20	-	-	PUNCT
ijassa-1308	459	21	scale	scale	NOUN
ijassa-1308	459	22	modelling	modelling	NOUN
ijassa-1308	459	23	of	of	ADP
ijassa-1308	459	24	saturated	saturate	VERB
ijassa-1308	459	25	flow	flow	NOUN
ijassa-1308	459	26	properties	property	NOUN
ijassa-1308	459	27	.	.	PUNCT
ijassa-1308	460	1	soil	soil	NOUN
ijassa-1308	460	2	and	and	CCONJ
ijassa-1308	460	3	tillage	tillage	NOUN
ijassa-1308	460	4	research	research	NOUN
ijassa-1308	460	5	,	,	PUNCT
ijassa-1308	460	6	209	209	NUM
ijassa-1308	460	7	,	,	PUNCT
ijassa-1308	460	8	104942	104942	NUM
ijassa-1308	460	9	.	.	PUNCT
ijassa-1308	461	1	47	47	NUM
ijassa-1308	461	2	.	.	PUNCT
ijassa-1308	462	1	li	li	PROPN
ijassa-1308	462	2	,	,	PUNCT
ijassa-1308	462	3	h.	h.	PROPN
ijassa-1308	462	4	,	,	PUNCT
ijassa-1308	462	5	chawla	chawla	PROPN
ijassa-1308	462	6	,	,	PUNCT
ijassa-1308	462	7	n.	n.	PROPN
ijassa-1308	462	8	&	&	CCONJ
ijassa-1308	462	9	jiao	jiao	PROPN
ijassa-1308	462	10	,	,	PUNCT
ijassa-1308	462	11	y.	y.	PROPN
ijassa-1308	462	12	(	(	PUNCT
ijassa-1308	462	13	2014	2014	NUM
ijassa-1308	462	14	)	)	PUNCT
ijassa-1308	462	15	.	.	PUNCT
ijassa-1308	463	1	reconstruction	reconstruction	NOUN
ijassa-1308	463	2	of	of	ADP
ijassa-1308	463	3	heterogeneous	heterogeneous	ADJ
ijassa-1308	463	4	materials	material	NOUN
ijassa-1308	463	5	via	via	ADP
ijassa-1308	463	6	stochastic	stochastic	ADJ
ijassa-1308	463	7	optimization	optimization	NOUN
ijassa-1308	463	8	of	of	ADP
ijassa-1308	463	9	limited	limited	ADJ
ijassa-1308	463	10	-	-	PUNCT
ijassa-1308	463	11	angle	angle	NOUN
ijassa-1308	463	12	x	x	ADJ
ijassa-1308	463	13	-	-	NOUN
ijassa-1308	463	14	ray	ray	ADJ
ijassa-1308	463	15	tomographic	tomographic	NOUN
ijassa-1308	463	16	projections	projection	NOUN
ijassa-1308	463	17	.	.	PUNCT
ijassa-1308	464	1	scripta	scripta	PROPN
ijassa-1308	464	2	materialia	materialia	PROPN
ijassa-1308	464	3	,	,	PUNCT
ijassa-1308	464	4	86	86	NUM
ijassa-1308	464	5	,	,	PUNCT
ijassa-1308	464	6	48–51	48–51	NUM
ijassa-1308	464	7	.	.	PUNCT
ijassa-1308	465	1	copyright	copyright	NOUN
ijassa-1308	465	2	©	©	PROPN
ijassa-1308	465	3	2022	2022	NUM
ijassa-1308	465	4	assa	assa	NOUN
ijassa-1308	465	5	.	.	PUNCT
ijassa-1308	466	1	adv	adv	PROPN
ijassa-1308	466	2	syst	syst	PROPN
ijassa-1308	466	3	sci	sci	PROPN
ijassa-1308	466	4	appl	appl	PROPN
ijassa-1308	466	5	(	(	PUNCT
ijassa-1308	466	6	2022	2022	NUM
ijassa-1308	466	7	)	)	PUNCT
ijassa-1308	466	8	the	the	DET
ijassa-1308	466	9	influence	influence	NOUN
ijassa-1308	466	10	of	of	ADP
ijassa-1308	466	11	image	image	NOUN
ijassa-1308	466	12	morphology	morphology	NOUN
ijassa-1308	466	13	...	...	PUNCT
ijassa-1308	466	14	49	49	NUM
ijassa-1308	466	15	48	48	NUM
ijassa-1308	466	16	.	.	PUNCT
ijassa-1308	467	1	li	li	PROPN
ijassa-1308	467	2	,	,	PUNCT
ijassa-1308	467	3	h.	h.	PROPN
ijassa-1308	467	4	,	,	PUNCT
ijassa-1308	467	5	chen	chen	PROPN
ijassa-1308	467	6	,	,	PUNCT
ijassa-1308	467	7	p.	p.	PROPN
ijassa-1308	467	8	e.	e.	PROPN
ijassa-1308	467	9	&	&	CCONJ
ijassa-1308	467	10	jiao	jiao	PROPN
ijassa-1308	467	11	,	,	PUNCT
ijassa-1308	467	12	y.	y.	PROPN
ijassa-1308	467	13	(	(	PUNCT
ijassa-1308	467	14	2018	2018	NUM
ijassa-1308	467	15	)	)	PUNCT
ijassa-1308	467	16	.	.	PUNCT
ijassa-1308	468	1	accurate	accurate	ADJ
ijassa-1308	468	2	reconstruction	reconstruction	NOUN
ijassa-1308	468	3	of	of	ADP
ijassa-1308	468	4	porous	porous	ADJ
ijassa-1308	468	5	materials	material	NOUN
ijassa-1308	468	6	via	via	ADP
ijassa-1308	468	7	stochastic	stochastic	ADJ
ijassa-1308	468	8	fusion	fusion	NOUN
ijassa-1308	468	9	of	of	ADP
ijassa-1308	468	10	limited	limited	ADJ
ijassa-1308	468	11	bimodal	bimodal	NOUN
ijassa-1308	468	12	microstructural	microstructural	ADJ
ijassa-1308	468	13	data	datum	NOUN
ijassa-1308	468	14	.	.	PUNCT
ijassa-1308	469	1	transport	transport	NOUN
ijassa-1308	469	2	in	in	ADP
ijassa-1308	469	3	porous	porous	ADJ
ijassa-1308	469	4	media	medium	NOUN
ijassa-1308	469	5	,	,	PUNCT
ijassa-1308	469	6	125	125	NUM
ijassa-1308	469	7	,	,	PUNCT
ijassa-1308	469	8	5–22	5–22	PROPN
ijassa-1308	469	9	.	.	PUNCT
ijassa-1308	470	1	49	49	NUM
ijassa-1308	470	2	.	.	PUNCT
ijassa-1308	471	1	mariethoz	mariethoz	PROPN
ijassa-1308	471	2	,	,	PUNCT
ijassa-1308	471	3	g.	g.	PROPN
ijassa-1308	471	4	,	,	PUNCT
ijassa-1308	471	5	renard	renard	PROPN
ijassa-1308	471	6	,	,	PUNCT
ijassa-1308	471	7	p.	p.	NOUN
ijassa-1308	471	8	&	&	CCONJ
ijassa-1308	471	9	straubhaar	straubhaar	PROPN
ijassa-1308	471	10	,	,	PUNCT
ijassa-1308	471	11	j.	j.	PROPN
ijassa-1308	471	12	(	(	PUNCT
ijassa-1308	471	13	2011	2011	NUM
ijassa-1308	471	14	)	)	PUNCT
ijassa-1308	471	15	extrapolating	extrapolate	VERB
ijassa-1308	471	16	the	the	DET
ijassa-1308	471	17	fractal	fractal	ADJ
ijassa-1308	471	18	characteristics	characteristic	NOUN
ijassa-1308	471	19	of	of	ADP
ijassa-1308	471	20	an	an	DET
ijassa-1308	471	21	image	image	NOUN
ijassa-1308	471	22	using	use	VERB
ijassa-1308	471	23	scale	scale	NOUN
ijassa-1308	471	24	-	-	PUNCT
ijassa-1308	471	25	invariant	invariant	ADJ
ijassa-1308	471	26	multiple	multiple	ADJ
ijassa-1308	471	27	-	-	PUNCT
ijassa-1308	471	28	point	point	NOUN
ijassa-1308	471	29	statistics	statistic	NOUN
ijassa-1308	471	30	.	.	PUNCT
ijassa-1308	472	1	mathematical	mathematical	ADJ
ijassa-1308	472	2	geosciences	geoscience	NOUN
ijassa-1308	472	3	,	,	PUNCT
ijassa-1308	472	4	43(7	43(7	NUM
ijassa-1308	472	5	)	)	PUNCT
ijassa-1308	472	6	,	,	PUNCT
ijassa-1308	472	7	783–797	783–797	NUM
ijassa-1308	472	8	.	.	PUNCT
ijassa-1308	473	1	https://doi.org/10.1007/s11004-011-9362-5	https://doi.org/10.1007/s11004-011-9362-5	NUM
ijassa-1308	473	2	50	50	NUM
ijassa-1308	473	3	.	.	PUNCT
ijassa-1308	474	1	miao	miao	NOUN
ijassa-1308	474	2	x.	x.	PROPN
ijassa-1308	474	3	,	,	PUNCT
ijassa-1308	474	4	gerke	gerke	PROPN
ijassa-1308	474	5	,	,	PUNCT
ijassa-1308	474	6	k.m	k.m	PROPN
ijassa-1308	474	7	.	.	PROPN
ijassa-1308	474	8	&	&	CCONJ
ijassa-1308	474	9	sizonenko	sizonenko	PROPN
ijassa-1308	474	10	,	,	PUNCT
ijassa-1308	474	11	t.o	t.o	PROPN
ijassa-1308	474	12	.	.	PROPN
ijassa-1308	474	13	,	,	PUNCT
ijassa-1308	474	14	(	(	PUNCT
ijassa-1308	474	15	2017	2017	NUM
ijassa-1308	474	16	)	)	PUNCT
ijassa-1308	474	17	.	.	PUNCT
ijassa-1308	475	1	a	a	DET
ijassa-1308	475	2	new	new	ADJ
ijassa-1308	475	3	way	way	NOUN
ijassa-1308	475	4	to	to	PART
ijassa-1308	475	5	parameterize	parameterize	VERB
ijassa-1308	475	6	hydraulic	hydraulic	ADJ
ijassa-1308	475	7	conductances	conductance	NOUN
ijassa-1308	475	8	of	of	ADP
ijassa-1308	475	9	pore	pore	ADJ
ijassa-1308	475	10	elements	element	NOUN
ijassa-1308	475	11	:	:	PUNCT
ijassa-1308	475	12	a	a	DET
ijassa-1308	475	13	step	step	NOUN
ijassa-1308	475	14	forward	forward	ADV
ijassa-1308	475	15	to	to	PART
ijassa-1308	475	16	create	create	VERB
ijassa-1308	475	17	porenetworks	porenetwork	NOUN
ijassa-1308	475	18	without	without	ADP
ijassa-1308	475	19	pore	pore	ADJ
ijassa-1308	475	20	shape	shape	NOUN
ijassa-1308	475	21	simplifications	simplification	NOUN
ijassa-1308	475	22	.	.	PUNCT
ijassa-1308	476	1	adv	adv	PROPN
ijassa-1308	476	2	.	.	PUNCT
ijassa-1308	476	3	water	water	NOUN
ijassa-1308	476	4	resour	resour	PROPN
ijassa-1308	476	5	.	.	PUNCT
ijassa-1308	476	6	,	,	PUNCT
ijassa-1308	476	7	105	105	NUM
ijassa-1308	476	8	,	,	PUNCT
ijassa-1308	476	9	162–172	162–172	NUM
ijassa-1308	476	10	.	.	PUNCT
ijassa-1308	477	1	https://doi.org/10.1016/j.advwatres.2017.04.021	https://doi.org/10.1016/j.advwatres.2017.04.021	NUM
ijassa-1308	477	2	51	51	NUM
ijassa-1308	477	3	.	.	PUNCT
ijassa-1308	478	1	nogueira	nogueira	PROPN
ijassa-1308	478	2	,	,	PUNCT
ijassa-1308	478	3	k.	k.	PROPN
ijassa-1308	478	4	,	,	PUNCT
ijassa-1308	478	5	fadel	fadel	PROPN
ijassa-1308	478	6	,	,	PUNCT
ijassa-1308	478	7	s.g	s.g	PROPN
ijassa-1308	478	8	.	.	PROPN
ijassa-1308	478	9	,	,	PUNCT
ijassa-1308	478	10	dourado	dourado	PROPN
ijassa-1308	478	11	,	,	PUNCT
ijassa-1308	478	12	i.c	i.c	PROPN
ijassa-1308	478	13	.	.	PROPN
ijassa-1308	478	14	,	,	PUNCT
ijassa-1308	478	15	de	de	PROPN
ijassa-1308	478	16	o.	o.	PROPN
ijassa-1308	478	17	werneck	werneck	PROPN
ijassa-1308	478	18	,	,	PUNCT
ijassa-1308	478	19	r.	r.	PROPN
ijassa-1308	478	20	,	,	PUNCT
ijassa-1308	478	21	munoz	munoz	PROPN
ijassa-1308	478	22	,	,	PUNCT
ijassa-1308	478	23	j.a.v	j.a.v	NOUN
ijassa-1308	478	24	.	.	PUNCT
ijassa-1308	478	25	et	et	PROPN
ijassa-1308	478	26	al	al	PROPN
ijassa-1308	478	27	.	.	PROPN
ijassa-1308	478	28	(	(	PUNCT
ijassa-1308	478	29	2017	2017	NUM
ijassa-1308	478	30	)	)	PUNCT
ijassa-1308	478	31	exploring	explore	VERB
ijassa-1308	478	32	convnet	convnet	ADJ
ijassa-1308	478	33	diversity	diversity	NOUN
ijassa-1308	478	34	for	for	ADP
ijassa-1308	478	35	flooding	flood	VERB
ijassa-1308	478	36	identification	identification	NOUN
ijassa-1308	478	37	.	.	PUNCT
ijassa-1308	479	1	arxiv	arxiv	NOUN
ijassa-1308	479	2	:	:	PUNCT
ijassa-1308	480	1	1711.03564v2	1711.03564v2	NUM
ijassa-1308	480	2	,	,	PUNCT
ijassa-1308	480	3	[	[	X
ijassa-1308	480	4	online	online	X
ijassa-1308	480	5	]	]	X
ijassa-1308	480	6	.	.	PUNCT
ijassa-1308	481	1	available	available	ADJ
ijassa-1308	481	2	:	:	PUNCT
ijassa-1308	481	3	https://arxiv.org/abs/1711.03564	https://arxiv.org/abs/1711.03564	PROPN
ijassa-1308	481	4	52	52	NUM
ijassa-1308	481	5	.	.	PUNCT
ijassa-1308	482	1	oh	oh	INTJ
ijassa-1308	482	2	,	,	PUNCT
ijassa-1308	482	3	w.	w.	PROPN
ijassa-1308	482	4	&	&	CCONJ
ijassa-1308	482	5	lindquist	lindquist	PROPN
ijassa-1308	482	6	,	,	PUNCT
ijassa-1308	482	7	b.w	b.w	PROPN
ijassa-1308	482	8	.	.	PROPN
ijassa-1308	482	9	(	(	PUNCT
ijassa-1308	482	10	1999	1999	NUM
ijassa-1308	482	11	)	)	PUNCT
ijassa-1308	482	12	.	.	PUNCT
ijassa-1308	483	1	image	image	NOUN
ijassa-1308	483	2	thresholding	thresholde	VERB
ijassa-1308	483	3	by	by	ADP
ijassa-1308	483	4	indicator	indicator	NOUN
ijassa-1308	483	5	kriging	kriging	PROPN
ijassa-1308	483	6	.	.	PUNCT
ijassa-1308	484	1	ieee	ieee	PROPN
ijassa-1308	484	2	trans	trans	PROPN
ijassa-1308	484	3	.	.	PUNCT
ijassa-1308	484	4	pattern	pattern	PROPN
ijassa-1308	484	5	anal	anal	PROPN
ijassa-1308	484	6	.	.	PUNCT
ijassa-1308	485	1	mach	mach	PROPN
ijassa-1308	485	2	.	.	PUNCT
ijassa-1308	486	1	intell	intell	PROPN
ijassa-1308	486	2	.	.	PUNCT
ijassa-1308	486	3	,	,	PUNCT
ijassa-1308	486	4	21	21	NUM
ijassa-1308	486	5	,	,	PUNCT
ijassa-1308	486	6	590–602	590–602	NUM
ijassa-1308	486	7	.	.	PUNCT
ijassa-1308	487	1	https://doi.org/10.1109/34.777370	https://doi.org/10.1109/34.777370	NOUN
ijassa-1308	488	1	53	53	NUM
ijassa-1308	488	2	.	.	PUNCT
ijassa-1308	488	3	otsu	otsu	PROPN
ijassa-1308	488	4	,	,	PUNCT
ijassa-1308	488	5	n.	n.	NOUN
ijassa-1308	488	6	(	(	PUNCT
ijassa-1308	488	7	1979	1979	NUM
ijassa-1308	488	8	)	)	PUNCT
ijassa-1308	488	9	.	.	PUNCT
ijassa-1308	489	1	a	a	DET
ijassa-1308	489	2	threshold	threshold	NOUN
ijassa-1308	489	3	selection	selection	NOUN
ijassa-1308	489	4	method	method	NOUN
ijassa-1308	489	5	from	from	ADP
ijassa-1308	489	6	gray	gray	ADJ
ijassa-1308	489	7	-	-	PUNCT
ijassa-1308	489	8	level	level	NOUN
ijassa-1308	489	9	histograms	histogram	NOUN
ijassa-1308	489	10	.	.	PUNCT
ijassa-1308	490	1	ieee	ieee	NOUN
ijassa-1308	490	2	transactions	transaction	NOUN
ijassa-1308	490	3	on	on	ADP
ijassa-1308	490	4	systems	system	NOUN
ijassa-1308	490	5	,	,	PUNCT
ijassa-1308	490	6	man	man	NOUN
ijassa-1308	490	7	,	,	PUNCT
ijassa-1308	490	8	and	and	CCONJ
ijassa-1308	490	9	cybernetics	cybernetic	NOUN
ijassa-1308	490	10	,	,	PUNCT
ijassa-1308	490	11	9(1	9(1	NUM
ijassa-1308	490	12	)	)	PUNCT
ijassa-1308	490	13	,	,	PUNCT
ijassa-1308	490	14	62–66	62–66	PROPN
ijassa-1308	490	15	.	.	PROPN
ijassa-1308	490	16	54	54	NUM
ijassa-1308	490	17	.	.	PUNCT
ijassa-1308	491	1	raeini	raeini	PROPN
ijassa-1308	491	2	,	,	PUNCT
ijassa-1308	491	3	a.q	a.q	PROPN
ijassa-1308	491	4	.	.	PROPN
ijassa-1308	491	5	,	,	PUNCT
ijassa-1308	491	6	bijeljic	bijeljic	PROPN
ijassa-1308	491	7	,	,	PUNCT
ijassa-1308	491	8	b.	b.	PROPN
ijassa-1308	491	9	&	&	CCONJ
ijassa-1308	491	10	blunt	blunt	PROPN
ijassa-1308	491	11	,	,	PUNCT
ijassa-1308	491	12	m.	m.	NOUN
ijassa-1308	491	13	j.	j.	PROPN
ijassa-1308	491	14	(	(	PUNCT
ijassa-1308	491	15	2017	2017	NUM
ijassa-1308	491	16	)	)	PUNCT
ijassa-1308	491	17	.	.	PUNCT
ijassa-1308	492	1	generalized	generalized	ADJ
ijassa-1308	492	2	network	network	NOUN
ijassa-1308	492	3	modeling	modeling	NOUN
ijassa-1308	492	4	:	:	PUNCT
ijassa-1308	492	5	network	network	NOUN
ijassa-1308	492	6	extraction	extraction	NOUN
ijassa-1308	492	7	as	as	ADP
ijassa-1308	492	8	a	a	DET
ijassa-1308	492	9	coarse	coarse	ADJ
ijassa-1308	492	10	-	-	PUNCT
ijassa-1308	492	11	scale	scale	NOUN
ijassa-1308	492	12	discretization	discretization	NOUN
ijassa-1308	492	13	of	of	ADP
ijassa-1308	492	14	the	the	DET
ijassa-1308	492	15	void	void	ADJ
ijassa-1308	492	16	space	space	NOUN
ijassa-1308	492	17	of	of	ADP
ijassa-1308	492	18	porous	porous	ADJ
ijassa-1308	492	19	media	medium	NOUN
ijassa-1308	492	20	.	.	PUNCT
ijassa-1308	493	1	physical	physical	ADJ
ijassa-1308	493	2	review	review	PROPN
ijassa-1308	493	3	e	e	NOUN
ijassa-1308	493	4	,	,	PUNCT
ijassa-1308	493	5	96(1	96(1	PROPN
ijassa-1308	493	6	)	)	PUNCT
ijassa-1308	493	7	,	,	PUNCT
ijassa-1308	493	8	013312	013312	NUM
ijassa-1308	493	9	.	.	PUNCT
ijassa-1308	494	1	55	55	NUM
ijassa-1308	494	2	.	.	PUNCT
ijassa-1308	495	1	raeini	raeini	PROPN
ijassa-1308	495	2	,	,	PUNCT
ijassa-1308	495	3	a.q	a.q	PROPN
ijassa-1308	495	4	.	.	PROPN
ijassa-1308	495	5	,	,	PUNCT
ijassa-1308	495	6	blunt	blunt	ADJ
ijassa-1308	495	7	,	,	PUNCT
ijassa-1308	495	8	m.j	m.j	PROPN
ijassa-1308	495	9	.	.	PROPN
ijassa-1308	495	10	&	&	CCONJ
ijassa-1308	495	11	bijeljic	bijeljic	PROPN
ijassa-1308	495	12	,	,	PUNCT
ijassa-1308	495	13	b.	b.	PROPN
ijassa-1308	495	14	(	(	PUNCT
ijassa-1308	495	15	2012	2012	NUM
ijassa-1308	495	16	)	)	PUNCT
ijassa-1308	495	17	.	.	PUNCT
ijassa-1308	496	1	modelling	model	VERB
ijassa-1308	496	2	two	two	NUM
ijassa-1308	496	3	-	-	PUNCT
ijassa-1308	496	4	phase	phase	NOUN
ijassa-1308	496	5	flow	flow	NOUN
ijassa-1308	496	6	in	in	ADP
ijassa-1308	496	7	porous	porous	ADJ
ijassa-1308	496	8	media	medium	NOUN
ijassa-1308	496	9	at	at	ADP
ijassa-1308	496	10	the	the	DET
ijassa-1308	496	11	pore	pore	ADJ
ijassa-1308	496	12	scale	scale	NOUN
ijassa-1308	496	13	using	use	VERB
ijassa-1308	496	14	the	the	DET
ijassa-1308	496	15	volume	volume	NOUN
ijassa-1308	496	16	-	-	PUNCT
ijassa-1308	496	17	of	of	ADP
ijassa-1308	496	18	-	-	PUNCT
ijassa-1308	496	19	fluid	fluid	NOUN
ijassa-1308	496	20	method	method	NOUN
ijassa-1308	496	21	.	.	PUNCT
ijassa-1308	497	1	comput	comput	NOUN
ijassa-1308	497	2	.	.	PUNCT
ijassa-1308	498	1	phys	phy	NOUN
ijassa-1308	498	2	.	.	PUNCT
ijassa-1308	498	3	,	,	PUNCT
ijassa-1308	498	4	231	231	NUM
ijassa-1308	498	5	,	,	PUNCT
ijassa-1308	498	6	5653–5668	5653–5668	NUM
ijassa-1308	498	7	.	.	PUNCT
ijassa-1308	499	1	https://doi.org/10.1016/j.jcp.2012.04.011	https://doi.org/10.1016/j.jcp.2012.04.011	ADP
ijassa-1308	499	2	56	56	NUM
ijassa-1308	499	3	.	.	PUNCT
ijassa-1308	499	4	ronneberger	ronneberger	NOUN
ijassa-1308	499	5	,	,	PUNCT
ijassa-1308	499	6	o.	o.	PROPN
ijassa-1308	499	7	,	,	PUNCT
ijassa-1308	499	8	fischer	fischer	PROPN
ijassa-1308	499	9	p.	p.	PROPN
ijassa-1308	499	10	&	&	CCONJ
ijassa-1308	499	11	brox	brox	PROPN
ijassa-1308	499	12	t.	t.	PROPN
ijassa-1308	499	13	(	(	PUNCT
ijassa-1308	499	14	2015	2015	NUM
ijassa-1308	499	15	)	)	PUNCT
ijassa-1308	499	16	u	u	NOUN
ijassa-1308	499	17	-	-	NOUN
ijassa-1308	499	18	net	net	ADJ
ijassa-1308	499	19	:	:	PUNCT
ijassa-1308	499	20	convolutional	convolutional	ADJ
ijassa-1308	499	21	networks	network	NOUN
ijassa-1308	499	22	for	for	ADP
ijassa-1308	499	23	biomedical	biomedical	ADJ
ijassa-1308	499	24	image	image	NOUN
ijassa-1308	499	25	segmentation	segmentation	NOUN
ijassa-1308	499	26	.	.	PUNCT
ijassa-1308	500	1	arxiv	arxiv	NOUN
ijassa-1308	500	2	:	:	PUNCT
ijassa-1308	501	1	1505.04597v1	1505.04597v1	NUM
ijassa-1308	501	2	,	,	PUNCT
ijassa-1308	501	3	[	[	X
ijassa-1308	501	4	online	online	X
ijassa-1308	501	5	]	]	X
ijassa-1308	501	6	.	.	PUNCT
ijassa-1308	502	1	available	available	ADJ
ijassa-1308	502	2	:	:	PUNCT
ijassa-1308	503	1	https://arxiv.org/abs/1505.04597v1	https://arxiv.org/abs/1505.04597v1	PROPN
ijassa-1308	503	2	57	57	NUM
ijassa-1308	503	3	.	.	PUNCT
ijassa-1308	503	4	ruder	rude	ADJ
ijassa-1308	503	5	s.	s.	PROPN
ijassa-1308	503	6	(	(	PUNCT
ijassa-1308	503	7	2016	2016	NUM
ijassa-1308	503	8	)	)	PUNCT
ijassa-1308	503	9	an	an	DET
ijassa-1308	503	10	overview	overview	NOUN
ijassa-1308	503	11	of	of	ADP
ijassa-1308	503	12	gradient	gradient	ADJ
ijassa-1308	503	13	descent	descent	NOUN
ijassa-1308	503	14	optimization	optimization	NOUN
ijassa-1308	503	15	algorithms	algorithm	NOUN
ijassa-1308	503	16	.	.	PUNCT
ijassa-1308	504	1	arxiv	arxiv	NOUN
ijassa-1308	504	2	:	:	PUNCT
ijassa-1308	505	1	1609.04747v2	1609.04747v2	NUM
ijassa-1308	505	2	,	,	PUNCT
ijassa-1308	505	3	[	[	X
ijassa-1308	505	4	online	online	X
ijassa-1308	505	5	]	]	X
ijassa-1308	505	6	.	.	PUNCT
ijassa-1308	506	1	available	available	ADJ
ijassa-1308	506	2	:	:	PUNCT
ijassa-1308	506	3	https://arxiv.org/abs/1609.04747	https://arxiv.org/abs/1609.04747	PROPN
ijassa-1308	506	4	58	58	NUM
ijassa-1308	506	5	.	.	PUNCT
ijassa-1308	507	1	sahimi	sahimi	PROPN
ijassa-1308	507	2	,	,	PUNCT
ijassa-1308	507	3	m.	m.	NOUN
ijassa-1308	507	4	(	(	PUNCT
ijassa-1308	507	5	2011	2011	NUM
ijassa-1308	507	6	)	)	PUNCT
ijassa-1308	507	7	.	.	PUNCT
ijassa-1308	508	1	flow	flow	NOUN
ijassa-1308	508	2	and	and	CCONJ
ijassa-1308	508	3	transport	transport	NOUN
ijassa-1308	508	4	in	in	ADP
ijassa-1308	508	5	porous	porous	ADJ
ijassa-1308	508	6	media	medium	NOUN
ijassa-1308	508	7	and	and	CCONJ
ijassa-1308	508	8	fractured	fracture	VERB
ijassa-1308	508	9	rock	rock	NOUN
ijassa-1308	508	10	:	:	PUNCT
ijassa-1308	508	11	from	from	ADP
ijassa-1308	508	12	classical	classical	ADJ
ijassa-1308	508	13	methods	method	NOUN
ijassa-1308	508	14	to	to	ADP
ijassa-1308	508	15	modern	modern	ADJ
ijassa-1308	508	16	approaches	approach	NOUN
ijassa-1308	508	17	.	.	PUNCT
ijassa-1308	509	1	new	new	PROPN
ijassa-1308	509	2	york	york	PROPN
ijassa-1308	509	3	,	,	PUNCT
ijassa-1308	509	4	ny	ny	PROPN
ijassa-1308	509	5	:	:	PUNCT
ijassa-1308	509	6	john	john	PROPN
ijassa-1308	509	7	wiley	wiley	PROPN
ijassa-1308	509	8	&	&	CCONJ
ijassa-1308	509	9	sons	son	NOUN
ijassa-1308	509	10	.	.	PUNCT
ijassa-1308	510	1	59	59	NUM
ijassa-1308	510	2	.	.	X
ijassa-1308	511	1	schlüter	schlüter	PROPN
ijassa-1308	511	2	,	,	PUNCT
ijassa-1308	511	3	s.	s.	PROPN
ijassa-1308	511	4	,	,	PUNCT
ijassa-1308	511	5	sheppard	sheppard	PROPN
ijassa-1308	511	6	,	,	PUNCT
ijassa-1308	511	7	a.	a.	NOUN
ijassa-1308	511	8	,	,	PUNCT
ijassa-1308	511	9	brown	brown	PROPN
ijassa-1308	511	10	,	,	PUNCT
ijassa-1308	511	11	k.	k.	PROPN
ijassa-1308	511	12	&	&	CCONJ
ijassa-1308	511	13	wildenschild	wildenschild	PROPN
ijassa-1308	511	14	,	,	PUNCT
ijassa-1308	511	15	d.	d.	PROPN
ijassa-1308	511	16	(	(	PUNCT
ijassa-1308	511	17	2014	2014	NUM
ijassa-1308	511	18	)	)	PUNCT
ijassa-1308	511	19	.	.	PUNCT
ijassa-1308	512	1	image	image	NOUN
ijassa-1308	512	2	processing	processing	NOUN
ijassa-1308	512	3	of	of	ADP
ijassa-1308	512	4	multiphase	multiphase	NOUN
ijassa-1308	512	5	images	image	NOUN
ijassa-1308	512	6	obtained	obtain	VERB
ijassa-1308	512	7	via	via	ADP
ijassa-1308	512	8	x	x	NOUN
ijassa-1308	512	9	-	-	NOUN
ijassa-1308	512	10	ray	ray	NOUN
ijassa-1308	512	11	microtomography	microtomography	NOUN
ijassa-1308	512	12	:	:	PUNCT
ijassa-1308	512	13	a	a	DET
ijassa-1308	512	14	review	review	NOUN
ijassa-1308	512	15	.	.	PUNCT
ijassa-1308	513	1	water	water	NOUN
ijassa-1308	513	2	resources	resource	NOUN
ijassa-1308	513	3	research	research	NOUN
ijassa-1308	513	4	,	,	PUNCT
ijassa-1308	513	5	50(4	50(4	NUM
ijassa-1308	513	6	)	)	PUNCT
ijassa-1308	513	7	,	,	PUNCT
ijassa-1308	513	8	3615–3639	3615–3639	NUM
ijassa-1308	513	9	.	.	PUNCT
ijassa-1308	514	1	60	60	NUM
ijassa-1308	514	2	.	.	PUNCT
ijassa-1308	515	1	schlüter	schlüter	PROPN
ijassa-1308	515	2	,	,	PUNCT
ijassa-1308	515	3	s.	s.	PROPN
ijassa-1308	515	4	,	,	PUNCT
ijassa-1308	515	5	weller	weller	PROPN
ijassa-1308	515	6	,	,	PUNCT
ijassa-1308	515	7	u.	u.	PROPN
ijassa-1308	515	8	&	&	CCONJ
ijassa-1308	515	9	vogel	vogel	PROPN
ijassa-1308	515	10	,	,	PUNCT
ijassa-1308	515	11	h.j	h.j	PROPN
ijassa-1308	515	12	.	.	PROPN
ijassa-1308	515	13	(	(	PUNCT
ijassa-1308	515	14	2010	2010	NUM
ijassa-1308	515	15	)	)	PUNCT
ijassa-1308	515	16	.	.	PUNCT
ijassa-1308	516	1	segmentation	segmentation	NOUN
ijassa-1308	516	2	of	of	ADP
ijassa-1308	516	3	x	x	NOUN
ijassa-1308	516	4	-	-	NOUN
ijassa-1308	516	5	ray	ray	NOUN
ijassa-1308	516	6	microtomography	microtomography	NOUN
ijassa-1308	516	7	images	image	NOUN
ijassa-1308	516	8	of	of	ADP
ijassa-1308	516	9	soil	soil	NOUN
ijassa-1308	516	10	using	use	VERB
ijassa-1308	516	11	gradient	gradient	ADJ
ijassa-1308	516	12	masks	mask	NOUN
ijassa-1308	516	13	.	.	PUNCT
ijassa-1308	517	1	comput	comput	NOUN
ijassa-1308	517	2	.	.	PUNCT
ijassa-1308	518	1	geosci	geosci	PROPN
ijassa-1308	518	2	.	.	PUNCT
ijassa-1308	518	3	,	,	PUNCT
ijassa-1308	518	4	36	36	NUM
ijassa-1308	518	5	,	,	PUNCT
ijassa-1308	518	6	1246–1251	1246–1251	NUM
ijassa-1308	518	7	.	.	PUNCT
ijassa-1308	519	1	https://doi.org/10.1016/j.cageo.2010.02.007	https://doi.org/10.1016/j.cageo.2010.02.007	NOUN
ijassa-1308	519	2	61	61	NUM
ijassa-1308	519	3	.	.	PUNCT
ijassa-1308	520	1	sheppard	sheppard	PROPN
ijassa-1308	520	2	,	,	PUNCT
ijassa-1308	520	3	a.p	a.p	PROPN
ijassa-1308	520	4	.	.	PROPN
ijassa-1308	520	5	,	,	PUNCT
ijassa-1308	520	6	sok	sok	PROPN
ijassa-1308	520	7	,	,	PUNCT
ijassa-1308	520	8	r.m	r.m	PROPN
ijassa-1308	520	9	.	.	PROPN
ijassa-1308	520	10	&	&	CCONJ
ijassa-1308	520	11	averdunk	averdunk	PROPN
ijassa-1308	520	12	,	,	PUNCT
ijassa-1308	520	13	h.	h.	PROPN
ijassa-1308	520	14	(	(	PUNCT
ijassa-1308	520	15	2004	2004	NUM
ijassa-1308	520	16	)	)	PUNCT
ijassa-1308	520	17	techniques	technique	NOUN
ijassa-1308	520	18	for	for	ADP
ijassa-1308	520	19	image	image	NOUN
ijassa-1308	520	20	enhancement	enhancement	NOUN
ijassa-1308	520	21	and	and	CCONJ
ijassa-1308	520	22	segmentation	segmentation	NOUN
ijassa-1308	520	23	of	of	ADP
ijassa-1308	520	24	tomographic	tomographic	ADJ
ijassa-1308	520	25	images	image	NOUN
ijassa-1308	520	26	of	of	ADP
ijassa-1308	520	27	porous	porous	ADJ
ijassa-1308	520	28	materials	material	NOUN
ijassa-1308	520	29	.	.	PUNCT
ijassa-1308	521	1	physica	physica	VERB
ijassa-1308	521	2	a	a	DET
ijassa-1308	521	3	:	:	PUNCT
ijassa-1308	521	4	statistical	statistical	ADJ
ijassa-1308	521	5	mechanics	mechanic	NOUN
ijassa-1308	521	6	and	and	CCONJ
ijassa-1308	521	7	its	its	PRON
ijassa-1308	521	8	applications	application	NOUN
ijassa-1308	521	9	,	,	PUNCT
ijassa-1308	521	10	339(1	339(1	NUM
ijassa-1308	521	11	)	)	PUNCT
ijassa-1308	521	12	,	,	PUNCT
ijassa-1308	521	13	145–151	145–151	NUM
ijassa-1308	521	14	.	.	PUNCT
ijassa-1308	522	1	https://doi.org/10.1016/j.physa.2004.03.057	https://doi.org/10.1016/j.physa.2004.03.057	NOUN
ijassa-1308	522	2	62	62	NUM
ijassa-1308	522	3	.	.	PUNCT
ijassa-1308	523	1	tahmasebi	tahmasebi	ADJ
ijassa-1308	523	2	,	,	PUNCT
ijassa-1308	523	3	p.	p.	NOUN
ijassa-1308	523	4	(	(	PUNCT
ijassa-1308	523	5	2018	2018	NUM
ijassa-1308	523	6	)	)	PUNCT
ijassa-1308	523	7	.	.	PUNCT
ijassa-1308	524	1	nanoscale	nanoscale	NOUN
ijassa-1308	524	2	and	and	CCONJ
ijassa-1308	524	3	multiresolution	multiresolution	NOUN
ijassa-1308	524	4	models	model	NOUN
ijassa-1308	524	5	for	for	ADP
ijassa-1308	524	6	shale	shale	NOUN
ijassa-1308	524	7	samples	sample	NOUN
ijassa-1308	524	8	.	.	PUNCT
ijassa-1308	525	1	fuel	fuel	NOUN
ijassa-1308	525	2	,	,	PUNCT
ijassa-1308	525	3	217	217	NUM
ijassa-1308	525	4	,	,	PUNCT
ijassa-1308	525	5	218–225	218–225	NUM
ijassa-1308	525	6	.	.	PUNCT
ijassa-1308	526	1	63	63	NUM
ijassa-1308	526	2	.	.	X
ijassa-1308	527	1	thovert	thovert	PROPN
ijassa-1308	527	2	,	,	PUNCT
ijassa-1308	527	3	j.f	j.f	PROPN
ijassa-1308	527	4	.	.	PROPN
ijassa-1308	527	5	&	&	CCONJ
ijassa-1308	527	6	adler	adler	PROPN
ijassa-1308	527	7	,	,	PUNCT
ijassa-1308	527	8	p.m.	p.m.	PROPN
ijassa-1308	527	9	(	(	PUNCT
ijassa-1308	527	10	2011	2011	NUM
ijassa-1308	527	11	)	)	PUNCT
ijassa-1308	527	12	.	.	PUNCT
ijassa-1308	528	1	grain	grain	NOUN
ijassa-1308	528	2	reconstruction	reconstruction	NOUN
ijassa-1308	528	3	of	of	ADP
ijassa-1308	528	4	porous	porous	ADJ
ijassa-1308	528	5	media	medium	NOUN
ijassa-1308	528	6	:	:	PUNCT
ijassa-1308	528	7	application	application	NOUN
ijassa-1308	528	8	to	to	ADP
ijassa-1308	528	9	a	a	DET
ijassa-1308	528	10	bentheim	bentheim	NOUN
ijassa-1308	528	11	sandstone	sandstone	NOUN
ijassa-1308	528	12	.	.	PUNCT
ijassa-1308	529	1	phys	phy	NOUN
ijassa-1308	529	2	.	.	PUNCT
ijassa-1308	530	1	rev	rev	PROPN
ijassa-1308	530	2	.	.	PUNCT
ijassa-1308	531	1	e	e	PROPN
ijassa-1308	531	2	stat	stat	PROPN
ijassa-1308	531	3	.	.	PUNCT
ijassa-1308	532	1	nonlinear	nonlinear	ADJ
ijassa-1308	532	2	,	,	PUNCT
ijassa-1308	532	3	soft	soft	ADJ
ijassa-1308	532	4	matter	matter	NOUN
ijassa-1308	532	5	phys	phy	NOUN
ijassa-1308	532	6	.	.	PUNCT
ijassa-1308	532	7	,	,	PUNCT
ijassa-1308	532	8	83	83	NUM
ijassa-1308	532	9	,	,	PUNCT
ijassa-1308	532	10	056116	056116	NUM
ijassa-1308	532	11	.	.	PUNCT
ijassa-1308	533	1	https://doi.org/10.1103/physreve.83.056116	https://doi.org/10.1103/physreve.83.056116	PROPN
ijassa-1308	533	2	64	64	NUM
ijassa-1308	533	3	.	.	PUNCT
ijassa-1308	534	1	torquato	torquato	PROPN
ijassa-1308	534	2	,	,	PUNCT
ijassa-1308	534	3	s.	s.	PROPN
ijassa-1308	534	4	(	(	PUNCT
ijassa-1308	534	5	2013	2013	NUM
ijassa-1308	534	6	)	)	PUNCT
ijassa-1308	534	7	.	.	PUNCT
ijassa-1308	535	1	random	random	ADJ
ijassa-1308	535	2	heterogeneous	heterogeneous	ADJ
ijassa-1308	535	3	materials	material	NOUN
ijassa-1308	535	4	:	:	PUNCT
ijassa-1308	535	5	microstructure	microstructure	ADJ
ijassa-1308	535	6	and	and	CCONJ
ijassa-1308	535	7	macroscopic	macroscopic	ADJ
ijassa-1308	535	8	properties	property	NOUN
ijassa-1308	535	9	.	.	PUNCT
ijassa-1308	536	1	new	new	PROPN
ijassa-1308	536	2	york	york	PROPN
ijassa-1308	536	3	,	,	PUNCT
ijassa-1308	536	4	ny	ny	PROPN
ijassa-1308	536	5	:	:	PUNCT
ijassa-1308	536	6	springer	springer	NOUN
ijassa-1308	536	7	.	.	PUNCT
ijassa-1308	537	1	65	65	NUM
ijassa-1308	537	2	.	.	PUNCT
ijassa-1308	537	3	varfolomeev	varfolomeev	PROPN
ijassa-1308	537	4	,	,	PUNCT
ijassa-1308	537	5	i.	i.	PROPN
ijassa-1308	537	6	,	,	PUNCT
ijassa-1308	537	7	yakimchuk	yakimchuk	NOUN
ijassa-1308	537	8	,	,	PUNCT
ijassa-1308	537	9	i.	i.	PROPN
ijassa-1308	537	10	&	&	CCONJ
ijassa-1308	537	11	safonov	safonov	PROPN
ijassa-1308	537	12	,	,	PUNCT
ijassa-1308	537	13	i	i	PRON
ijassa-1308	537	14	(	(	PUNCT
ijassa-1308	537	15	2019	2019	NUM
ijassa-1308	537	16	)	)	PUNCT
ijassa-1308	537	17	.	.	PUNCT
ijassa-1308	538	1	an	an	DET
ijassa-1308	538	2	application	application	NOUN
ijassa-1308	538	3	of	of	ADP
ijassa-1308	538	4	deep	deep	ADJ
ijassa-1308	538	5	neural	neural	ADJ
ijassa-1308	538	6	networks	network	NOUN
ijassa-1308	538	7	for	for	ADP
ijassa-1308	538	8	segmentation	segmentation	NOUN
ijassa-1308	538	9	of	of	ADP
ijassa-1308	538	10	microtomographic	microtomographic	ADJ
ijassa-1308	538	11	images	image	NOUN
ijassa-1308	538	12	of	of	ADP
ijassa-1308	538	13	rock	rock	NOUN
ijassa-1308	538	14	samples	sample	NOUN
ijassa-1308	538	15	.	.	PUNCT
ijassa-1308	539	1	computers	computer	NOUN
ijassa-1308	539	2	,	,	PUNCT
ijassa-1308	539	3	8(4	8(4	NUM
ijassa-1308	539	4	)	)	PUNCT
ijassa-1308	539	5	,	,	PUNCT
ijassa-1308	539	6	72	72	NUM
ijassa-1308	539	7	.	.	X
ijassa-1308	539	8	66	66	NUM
ijassa-1308	539	9	.	.	PUNCT
ijassa-1308	540	1	vesely	vesely	PROPN
ijassa-1308	540	2	,	,	PUNCT
ijassa-1308	540	3	m.	m.	NOUN
ijassa-1308	540	4	,	,	PUNCT
ijassa-1308	540	5	bultreys	bultrey	NOUN
ijassa-1308	540	6	,	,	PUNCT
ijassa-1308	540	7	t.	t.	PROPN
ijassa-1308	540	8	,	,	PUNCT
ijassa-1308	540	9	peksa	peksa	NOUN
ijassa-1308	540	10	,	,	PUNCT
ijassa-1308	540	11	m.	m.	NOUN
ijassa-1308	540	12	,	,	PUNCT
ijassa-1308	540	13	lang	lang	PROPN
ijassa-1308	540	14	,	,	PUNCT
ijassa-1308	540	15	j.	j.	PROPN
ijassa-1308	540	16	,	,	PUNCT
ijassa-1308	540	17	cnudde	cnudde	PROPN
ijassa-1308	540	18	,	,	PUNCT
ijassa-1308	540	19	v.	v.	ADP
ijassa-1308	540	20	et	et	PROPN
ijassa-1308	540	21	al	al	PROPN
ijassa-1308	540	22	.	.	PROPN
ijassa-1308	540	23	(	(	PUNCT
ijassa-1308	540	24	2015	2015	NUM
ijassa-1308	540	25	)	)	PUNCT
ijassa-1308	540	26	.	.	PUNCT
ijassa-1308	541	1	prediction	prediction	NOUN
ijassa-1308	541	2	and	and	CCONJ
ijassa-1308	541	3	evaluation	evaluation	NOUN
ijassa-1308	541	4	of	of	ADP
ijassa-1308	541	5	time	time	NOUN
ijassa-1308	541	6	-	-	PUNCT
ijassa-1308	541	7	dependent	dependent	ADJ
ijassa-1308	541	8	effective	effective	ADJ
ijassa-1308	541	9	self	self	NOUN
ijassa-1308	541	10	-	-	PUNCT
ijassa-1308	541	11	diffusivity	diffusivity	NOUN
ijassa-1308	541	12	of	of	ADP
ijassa-1308	541	13	water	water	NOUN
ijassa-1308	541	14	and	and	CCONJ
ijassa-1308	541	15	other	other	ADJ
ijassa-1308	541	16	effective	effective	ADJ
ijassa-1308	541	17	transport	transport	NOUN
ijassa-1308	541	18	properties	property	NOUN
ijassa-1308	541	19	associated	associate	VERB
ijassa-1308	541	20	with	with	ADP
ijassa-1308	541	21	reconstructed	reconstructed	ADJ
ijassa-1308	541	22	solids	solid	NOUN
ijassa-1308	541	23	.	.	PUNCT
ijassa-1308	542	1	transport	transport	NOUN
ijassa-1308	542	2	in	in	ADP
ijassa-1308	542	3	porous	porous	ADJ
ijassa-1308	542	4	media	medium	NOUN
ijassa-1308	542	5	,	,	PUNCT
ijassa-1308	542	6	copyright	copyright	NOUN
ijassa-1308	542	7	©	©	PROPN
ijassa-1308	542	8	2022	2022	NUM
ijassa-1308	542	9	assa	assa	NOUN
ijassa-1308	542	10	.	.	PUNCT
ijassa-1308	543	1	adv	adv	PROPN
ijassa-1308	543	2	syst	syst	PROPN
ijassa-1308	543	3	sci	sci	PROPN
ijassa-1308	543	4	appl	appl	PROPN
ijassa-1308	543	5	(	(	PUNCT
ijassa-1308	543	6	2022	2022	NUM
ijassa-1308	543	7	)	)	PUNCT
ijassa-1308	543	8	50	50	NUM
ijassa-1308	543	9	efim	efim	NOUN
ijassa-1308	543	10	v.	v.	ADP
ijassa-1308	543	11	lavrukhin	lavrukhin	NOUN
ijassa-1308	543	12	,	,	PUNCT
ijassa-1308	543	13	vasily	vasily	NOUN
ijassa-1308	543	14	postnicov	postnicov	NOUN
ijassa-1308	543	15	,	,	PUNCT
ijassa-1308	543	16	kirill	kirill	PROPN
ijassa-1308	543	17	m.	m.	PROPN
ijassa-1308	543	18	gerke	gerke	PROPN
ijassa-1308	543	19	110(1	110(1	NUM
ijassa-1308	543	20	)	)	PUNCT
ijassa-1308	543	21	,	,	PUNCT
ijassa-1308	543	22	81–111	81–111	NUM
ijassa-1308	543	23	.	.	PUNCT
ijassa-1308	544	1	https://doi.org/10.1007/s11242-015-0557-y	https://doi.org/10.1007/s11242-015-0557-y	PROPN
ijassa-1308	544	2	.	.	PROPN
ijassa-1308	545	1	67	67	NUM
ijassa-1308	545	2	.	.	PUNCT
ijassa-1308	546	1	wang	wang	PROPN
ijassa-1308	546	2	,	,	PUNCT
ijassa-1308	546	3	w.	w.	PROPN
ijassa-1308	546	4	,	,	PUNCT
ijassa-1308	546	5	kravchenko	kravchenko	PROPN
ijassa-1308	546	6	,	,	PUNCT
ijassa-1308	546	7	a.n	a.n	PROPN
ijassa-1308	546	8	.	.	PROPN
ijassa-1308	546	9	,	,	PUNCT
ijassa-1308	546	10	smucker	smucker	NOUN
ijassa-1308	546	11	,	,	PUNCT
ijassa-1308	546	12	a.j.m	a.j.m	PROPN
ijassa-1308	546	13	.	.	PUNCT
ijassa-1308	546	14	&	&	CCONJ
ijassa-1308	546	15	rivers	river	NOUN
ijassa-1308	546	16	,	,	PUNCT
ijassa-1308	546	17	m.l	m.l	PROPN
ijassa-1308	546	18	.	.	PUNCT
ijassa-1308	546	19	(	(	PUNCT
ijassa-1308	546	20	2011	2011	NUM
ijassa-1308	546	21	)	)	PUNCT
ijassa-1308	546	22	.	.	PUNCT
ijassa-1308	547	1	comparison	comparison	NOUN
ijassa-1308	547	2	of	of	ADP
ijassa-1308	547	3	image	image	NOUN
ijassa-1308	547	4	segmentation	segmentation	NOUN
ijassa-1308	547	5	methods	method	NOUN
ijassa-1308	547	6	in	in	ADP
ijassa-1308	547	7	simulated	simulated	ADJ
ijassa-1308	547	8	2d	2d	NOUN
ijassa-1308	547	9	and	and	CCONJ
ijassa-1308	547	10	3d	3d	NUM
ijassa-1308	547	11	microtomographic	microtomographic	ADJ
ijassa-1308	547	12	images	image	NOUN
ijassa-1308	547	13	of	of	ADP
ijassa-1308	547	14	soil	soil	NOUN
ijassa-1308	547	15	aggregates	aggregate	NOUN
ijassa-1308	547	16	.	.	PUNCT
ijassa-1308	548	1	geoderma	geoderma	NOUN
ijassa-1308	548	2	,	,	PUNCT
ijassa-1308	548	3	162(3–4	162(3–4	NUM
ijassa-1308	548	4	)	)	PUNCT
ijassa-1308	548	5	,	,	PUNCT
ijassa-1308	548	6	231–241	231–241	NUM
ijassa-1308	548	7	.	.	PUNCT
ijassa-1308	549	1	68	68	NUM
ijassa-1308	549	2	.	.	PUNCT
ijassa-1308	550	1	wildenschild	wildenschild	PROPN
ijassa-1308	550	2	,	,	PUNCT
ijassa-1308	550	3	d.	d.	PROPN
ijassa-1308	550	4	&	&	CCONJ
ijassa-1308	550	5	sheppard	sheppard	PROPN
ijassa-1308	550	6	,	,	PUNCT
ijassa-1308	550	7	a.p	a.p	PROPN
ijassa-1308	550	8	.	.	PROPN
ijassa-1308	550	9	(	(	PUNCT
ijassa-1308	550	10	2013	2013	NUM
ijassa-1308	550	11	)	)	PUNCT
ijassa-1308	550	12	.	.	PUNCT
ijassa-1308	551	1	x	x	X
ijassa-1308	551	2	-	-	PUNCT
ijassa-1308	551	3	ray	ray	NOUN
ijassa-1308	551	4	imaging	imaging	NOUN
ijassa-1308	551	5	and	and	CCONJ
ijassa-1308	551	6	analysis	analysis	NOUN
ijassa-1308	551	7	techniques	technique	NOUN
ijassa-1308	551	8	for	for	ADP
ijassa-1308	551	9	quantifying	quantify	VERB
ijassa-1308	551	10	pore	pore	ADJ
ijassa-1308	551	11	-	-	PUNCT
ijassa-1308	551	12	scale	scale	NOUN
ijassa-1308	551	13	structure	structure	NOUN
ijassa-1308	551	14	and	and	CCONJ
ijassa-1308	551	15	processes	process	NOUN
ijassa-1308	551	16	in	in	ADP
ijassa-1308	551	17	subsurface	subsurface	NOUN
ijassa-1308	551	18	porous	porous	ADJ
ijassa-1308	551	19	medium	medium	NOUN
ijassa-1308	551	20	systems	system	NOUN
ijassa-1308	551	21	.	.	PUNCT
ijassa-1308	552	1	advances	advance	NOUN
ijassa-1308	552	2	in	in	ADP
ijassa-1308	552	3	water	water	NOUN
ijassa-1308	552	4	resources	resource	NOUN
ijassa-1308	552	5	,	,	PUNCT
ijassa-1308	552	6	51	51	NUM
ijassa-1308	552	7	,	,	PUNCT
ijassa-1308	552	8	217–246	217–246	NUM
ijassa-1308	552	9	.	.	PUNCT
ijassa-1308	553	1	https://doi.org/10.1016/j.advwatres.2012.07.018	https://doi.org/10.1016/j.advwatres.2012.07.018	NOUN
ijassa-1308	553	2	69	69	NUM
ijassa-1308	553	3	.	.	PUNCT
ijassa-1308	554	1	yang	yang	PROPN
ijassa-1308	554	2	,	,	PUNCT
ijassa-1308	554	3	y.s	y.s	PROPN
ijassa-1308	554	4	.	.	PROPN
ijassa-1308	554	5	,	,	PUNCT
ijassa-1308	554	6	gureyev	gureyev	PROPN
ijassa-1308	554	7	,	,	PUNCT
ijassa-1308	554	8	t.e	t.e	PROPN
ijassa-1308	554	9	.	.	PROPN
ijassa-1308	554	10	,	,	PUNCT
ijassa-1308	554	11	tulloh	tulloh	PROPN
ijassa-1308	554	12	,	,	PUNCT
ijassa-1308	554	13	a.	a.	NOUN
ijassa-1308	554	14	,	,	PUNCT
ijassa-1308	554	15	clennell	clennell	PROPN
ijassa-1308	554	16	,	,	PUNCT
ijassa-1308	554	17	m.b	m.b	PROPN
ijassa-1308	554	18	.	.	PROPN
ijassa-1308	554	19	&	&	CCONJ
ijassa-1308	554	20	pervukhina	pervukhina	PROPN
ijassa-1308	554	21	,	,	PUNCT
ijassa-1308	554	22	m.	m.	NOUN
ijassa-1308	554	23	(	(	PUNCT
ijassa-1308	554	24	2010	2010	NUM
ijassa-1308	554	25	)	)	PUNCT
ijassa-1308	554	26	.	.	PUNCT
ijassa-1308	555	1	feasibility	feasibility	NOUN
ijassa-1308	555	2	of	of	ADP
ijassa-1308	555	3	a	a	DET
ijassa-1308	555	4	data	data	NOUN
ijassa-1308	555	5	-	-	PUNCT
ijassa-1308	555	6	constrained	constrain	VERB
ijassa-1308	555	7	prediction	prediction	NOUN
ijassa-1308	555	8	of	of	ADP
ijassa-1308	555	9	hydrocarbon	hydrocarbon	NOUN
ijassa-1308	555	10	reservoir	reservoir	NOUN
ijassa-1308	555	11	sandstone	sandstone	NOUN
ijassa-1308	555	12	microstructures	microstructure	NOUN
ijassa-1308	555	13	.	.	PUNCT
ijassa-1308	556	1	measurement	measurement	NOUN
ijassa-1308	556	2	science	science	NOUN
ijassa-1308	556	3	and	and	CCONJ
ijassa-1308	556	4	technology	technology	NOUN
ijassa-1308	556	5	,	,	PUNCT
ijassa-1308	556	6	21(4	21(4	NUM
ijassa-1308	556	7	)	)	PUNCT
ijassa-1308	556	8	,	,	PUNCT
ijassa-1308	556	9	047001	047001	NUM
ijassa-1308	556	10	.	.	PUNCT
ijassa-1308	557	1	70	70	NUM
ijassa-1308	557	2	.	.	X
ijassa-1308	558	1	yang	yang	PROPN
ijassa-1308	558	2	,	,	PUNCT
ijassa-1308	558	3	y.	y.	PROPN
ijassa-1308	558	4	s.	s.	PROPN
ijassa-1308	558	5	,	,	PUNCT
ijassa-1308	558	6	liu	liu	PROPN
ijassa-1308	558	7	,	,	PUNCT
ijassa-1308	558	8	k.	k.	PROPN
ijassa-1308	558	9	y.	y.	PROPN
ijassa-1308	558	10	,	,	PUNCT
ijassa-1308	558	11	mayo	mayo	NOUN
ijassa-1308	558	12	,	,	PUNCT
ijassa-1308	558	13	s.	s.	PROPN
ijassa-1308	558	14	,	,	PUNCT
ijassa-1308	558	15	tulloh	tulloh	PROPN
ijassa-1308	558	16	,	,	PUNCT
ijassa-1308	558	17	a.	a.	NOUN
ijassa-1308	558	18	,	,	PUNCT
ijassa-1308	558	19	clennell	clennell	NOUN
ijassa-1308	558	20	,	,	PUNCT
ijassa-1308	558	21	m.	m.	PROPN
ijassa-1308	558	22	b.	b.	PROPN
ijassa-1308	558	23	et	et	PROPN
ijassa-1308	558	24	al	al	PROPN
ijassa-1308	558	25	.	.	PROPN
ijassa-1308	558	26	(	(	PUNCT
ijassa-1308	558	27	2013	2013	NUM
ijassa-1308	558	28	)	)	PUNCT
ijassa-1308	558	29	.	.	PUNCT
ijassa-1308	559	1	a	a	DET
ijassa-1308	559	2	dataconstrained	dataconstraine	VERB
ijassa-1308	559	3	modelling	modelling	NOUN
ijassa-1308	559	4	approach	approach	NOUN
ijassa-1308	559	5	to	to	ADP
ijassa-1308	559	6	sandstone	sandstone	NOUN
ijassa-1308	559	7	microstructure	microstructure	ADJ
ijassa-1308	559	8	characterisation	characterisation	NOUN
ijassa-1308	559	9	.	.	PUNCT
ijassa-1308	560	1	journal	journal	NOUN
ijassa-1308	560	2	of	of	ADP
ijassa-1308	560	3	petroleum	petroleum	NOUN
ijassa-1308	560	4	science	science	NOUN
ijassa-1308	560	5	and	and	CCONJ
ijassa-1308	560	6	engineering	engineering	NOUN
ijassa-1308	560	7	,	,	PUNCT
ijassa-1308	560	8	105	105	NUM
ijassa-1308	560	9	,	,	PUNCT
ijassa-1308	560	10	76–83	76–83	NUM
ijassa-1308	560	11	.	.	NOUN
ijassa-1308	560	12	71	71	NUM
ijassa-1308	560	13	.	.	X
ijassa-1308	561	1	yeong	yeong	PROPN
ijassa-1308	561	2	,	,	PUNCT
ijassa-1308	561	3	c.	c.	PROPN
ijassa-1308	561	4	&	&	CCONJ
ijassa-1308	561	5	torquato	torquato	PROPN
ijassa-1308	561	6	,	,	PUNCT
ijassa-1308	561	7	s.	s.	PROPN
ijassa-1308	561	8	(	(	PUNCT
ijassa-1308	561	9	1998	1998	NUM
ijassa-1308	561	10	)	)	PUNCT
ijassa-1308	561	11	.	.	PUNCT
ijassa-1308	562	1	reconstructing	reconstruct	VERB
ijassa-1308	562	2	random	random	ADJ
ijassa-1308	562	3	media	medium	NOUN
ijassa-1308	562	4	.	.	PUNCT
ijassa-1308	563	1	ii	ii	PROPN
ijassa-1308	563	2	.	.	PUNCT
ijassa-1308	563	3	threedimensional	threedimensional	ADJ
ijassa-1308	563	4	media	medium	NOUN
ijassa-1308	563	5	from	from	ADP
ijassa-1308	563	6	two	two	NUM
ijassa-1308	563	7	-	-	PUNCT
ijassa-1308	563	8	dimensional	dimensional	ADJ
ijassa-1308	563	9	cuts	cut	NOUN
ijassa-1308	563	10	.	.	PUNCT
ijassa-1308	564	1	phys	phy	NOUN
ijassa-1308	564	2	.	.	PUNCT
ijassa-1308	565	1	rev	rev	PROPN
ijassa-1308	565	2	.	.	PROPN
ijassa-1308	566	1	e	e	X
ijassa-1308	566	2	,	,	PUNCT
ijassa-1308	566	3	58	58	NUM
ijassa-1308	566	4	,	,	PUNCT
ijassa-1308	566	5	224–233	224–233	NUM
ijassa-1308	566	6	.	.	PUNCT
ijassa-1308	567	1	https://doi.org/10.1103/physreve.58.224	https://doi.org/10.1103/physreve.58.224	ADP
ijassa-1308	567	2	copyright	copyright	NOUN
ijassa-1308	567	3	©	©	PROPN
ijassa-1308	567	4	2022	2022	NUM
ijassa-1308	567	5	assa	assa	NOUN
ijassa-1308	567	6	.	.	PUNCT
ijassa-1308	568	1	adv	adv	PROPN
ijassa-1308	568	2	syst	syst	PROPN
ijassa-1308	568	3	sci	sci	PROPN
ijassa-1308	568	4	appl	appl	PROPN
ijassa-1308	568	5	(	(	PUNCT
ijassa-1308	568	6	2022	2022	NUM
ijassa-1308	568	7	)	)	PUNCT
ijassa-1308	568	8	introduction	introduction	NOUN
ijassa-1308	568	9	methodology	methodology	NOUN
ijassa-1308	568	10	convolutional	convolutional	ADJ
ijassa-1308	568	11	neural	neural	ADJ
ijassa-1308	568	12	networks	network	NOUN
ijassa-1308	568	13	(	(	PUNCT
ijassa-1308	568	14	cnns	cnns	PROPN
ijassa-1308	568	15	)	)	PUNCT
ijassa-1308	568	16	for	for	ADP
ijassa-1308	568	17	image	image	NOUN
ijassa-1308	568	18	segmentation	segmentation	NOUN
ijassa-1308	568	19	porous	porous	ADJ
ijassa-1308	568	20	media	medium	NOUN
ijassa-1308	568	21	acquisition	acquisition	NOUN
ijassa-1308	568	22	and	and	CCONJ
ijassa-1308	568	23	specs	spec	NOUN
ijassa-1308	568	24	synthetic	synthetic	ADJ
ijassa-1308	568	25	xct	xct	PROPN
ijassa-1308	568	26	algorithm	algorithm	PROPN
ijassa-1308	568	27	stochastic	stochastic	ADJ
ijassa-1308	568	28	reconstruction	reconstruction	NOUN
ijassa-1308	568	29	algorithm	algorithm	NOUN
ijassa-1308	568	30	image	image	NOUN
ijassa-1308	568	31	preparation	preparation	NOUN
ijassa-1308	568	32	for	for	ADP
ijassa-1308	568	33	cnn	cnn	PROPN
ijassa-1308	568	34	implementation	implementation	NOUN
ijassa-1308	568	35	experiments	experiment	NOUN
ijassa-1308	568	36	model	model	NOUN
ijassa-1308	568	37	description	description	NOUN
ijassa-1308	568	38	training	training	NOUN
ijassa-1308	568	39	process	process	NOUN
ijassa-1308	568	40	experimental	experimental	ADJ
ijassa-1308	568	41	setup	setup	NOUN
ijassa-1308	568	42	segmentation	segmentation	NOUN
ijassa-1308	568	43	accuracy	accuracy	NOUN
ijassa-1308	568	44	metrics	metric	NOUN
ijassa-1308	568	45	results	result	VERB
ijassa-1308	568	46	visual	visual	ADJ
ijassa-1308	568	47	segmentation	segmentation	NOUN
ijassa-1308	568	48	results	result	VERB
ijassa-1308	568	49	quantitative	quantitative	ADJ
ijassa-1308	568	50	segmentation	segmentation	NOUN
ijassa-1308	568	51	results	result	VERB
ijassa-1308	568	52	discussion	discussion	NOUN
ijassa-1308	568	53	conclusion	conclusion	NOUN