id	sid	tid	token	lemma	pos
ap-2132	1	1	acta	acta	PROPN
ap-2132	1	2	polytechnica	polytechnica	PROPN
ap-2132	1	3	doi:10.14311	doi:10.14311	PROPN
ap-2132	1	4	/	/	SYM
ap-2132	1	5	ap.2014.54.0214	ap.2014.54.0214	PROPN
ap-2132	1	6	acta	acta	PROPN
ap-2132	1	7	polytechnica	polytechnica	PROPN
ap-2132	1	8	54(3):214–220	54(3):214–220	PROPN
ap-2132	1	9	,	,	PUNCT
ap-2132	1	10	2014	2014	NUM
ap-2132	1	11	©	©	PROPN
ap-2132	1	12	czech	czech	PROPN
ap-2132	1	13	technical	technical	PROPN
ap-2132	1	14	university	university	PROPN
ap-2132	1	15	in	in	ADP
ap-2132	1	16	prague	prague	PROPN
ap-2132	1	17	,	,	PUNCT
ap-2132	1	18	2014	2014	NUM
ap-2132	1	19	available	available	ADJ
ap-2132	1	20	online	online	ADV
ap-2132	1	21	at	at	ADP
ap-2132	1	22	http://ojs.cvut.cz/ojs/index.php/ap	http://ojs.cvut.cz/ojs/index.php/ap	ADJ
ap-2132	1	23	segmenting	segment	VERB
ap-2132	1	24	tagged	tag	VERB
ap-2132	1	25	cardiac	cardiac	ADJ
ap-2132	1	26	mri	mri	NOUN
ap-2132	1	27	data	datum	NOUN
ap-2132	1	28	using	use	VERB
ap-2132	1	29	a	a	DET
ap-2132	1	30	local	local	ADJ
ap-2132	1	31	variance	variance	NOUN
ap-2132	1	32	filter	filter	NOUN
ap-2132	1	33	tomáš	tomáš	PROPN
ap-2132	1	34	oberhubera,∗	oberhubera,∗	PROPN
ap-2132	1	35	,	,	PUNCT
ap-2132	1	36	slavomír	slavomír	NOUN
ap-2132	1	37	kučeraa	kučeraa	NOUN
ap-2132	1	38	,	,	PUNCT
ap-2132	1	39	jakub	jakub	PROPN
ap-2132	1	40	louckýa	louckýa	PROPN
ap-2132	1	41	,	,	PUNCT
ap-2132	1	42	lucie	lucie	PROPN
ap-2132	1	43	súkupováb	súkupováb	PROPN
ap-2132	1	44	,	,	PUNCT
ap-2132	1	45	jaroslav	jaroslav	PROPN
ap-2132	1	46	tintěrab	tintěrab	PROPN
ap-2132	1	47	a	a	DET
ap-2132	1	48	department	department	NOUN
ap-2132	1	49	of	of	ADP
ap-2132	1	50	mathematics	mathematic	NOUN
ap-2132	1	51	,	,	PUNCT
ap-2132	1	52	faculty	faculty	NOUN
ap-2132	1	53	of	of	ADP
ap-2132	1	54	nuclear	nuclear	ADJ
ap-2132	1	55	sciences	science	NOUN
ap-2132	1	56	and	and	CCONJ
ap-2132	1	57	physical	physical	ADJ
ap-2132	1	58	engineering	engineering	NOUN
ap-2132	1	59	,	,	PUNCT
ap-2132	1	60	czech	czech	PROPN
ap-2132	1	61	technical	technical	PROPN
ap-2132	1	62	university	university	PROPN
ap-2132	1	63	in	in	ADP
ap-2132	1	64	prague	prague	PROPN
ap-2132	1	65	,	,	PUNCT
ap-2132	1	66	trojanova	trojanova	X
ap-2132	1	67	13	13	NUM
ap-2132	1	68	,	,	PUNCT
ap-2132	1	69	praha	praha	NOUN
ap-2132	1	70	2	2	NUM
ap-2132	1	71	,	,	PUNCT
ap-2132	1	72	120	120	NUM
ap-2132	1	73	00	00	NUM
ap-2132	1	74	,	,	PUNCT
ap-2132	1	75	czech	czech	PROPN
ap-2132	1	76	republic	republic	PROPN
ap-2132	1	77	b	b	PROPN
ap-2132	1	78	department	department	PROPN
ap-2132	1	79	of	of	ADP
ap-2132	1	80	radiology	radiology	NOUN
ap-2132	1	81	,	,	PUNCT
ap-2132	1	82	institute	institute	NOUN
ap-2132	1	83	for	for	ADP
ap-2132	1	84	clinical	clinical	ADJ
ap-2132	1	85	and	and	CCONJ
ap-2132	1	86	experimental	experimental	ADJ
ap-2132	1	87	medicine	medicine	NOUN
ap-2132	1	88	,	,	PUNCT
ap-2132	1	89	vídeňská	vídeňská	ADJ
ap-2132	1	90	1958/9	1958/9	NUM
ap-2132	1	91	,	,	PUNCT
ap-2132	1	92	praha	praha	PROPN
ap-2132	1	93	4	4	NUM
ap-2132	1	94	,	,	PUNCT
ap-2132	1	95	140	140	NUM
ap-2132	1	96	21	21	NUM
ap-2132	1	97	,	,	PUNCT
ap-2132	1	98	czech	czech	PROPN
ap-2132	1	99	republic	republic	NOUN
ap-2132	1	100	∗	∗	NOUN
ap-2132	1	101	corresponding	correspond	VERB
ap-2132	1	102	author	author	NOUN
ap-2132	1	103	:	:	PUNCT
ap-2132	1	104	tomas.oberhuber@fjfi.cvut.cz	tomas.oberhuber@fjfi.cvut.cz	PROPN
ap-2132	1	105	abstract	abstract	ADJ
ap-2132	1	106	.	.	PUNCT
ap-2132	2	1	we	we	PRON
ap-2132	2	2	present	present	VERB
ap-2132	2	3	a	a	DET
ap-2132	2	4	new	new	ADJ
ap-2132	2	5	method	method	NOUN
ap-2132	2	6	for	for	ADP
ap-2132	2	7	segmenting	segment	VERB
ap-2132	2	8	tagged	tag	VERB
ap-2132	2	9	mri	mri	NOUN
ap-2132	2	10	data	datum	NOUN
ap-2132	2	11	.	.	PUNCT
ap-2132	3	1	it	it	PRON
ap-2132	3	2	is	be	AUX
ap-2132	3	3	based	base	VERB
ap-2132	3	4	on	on	ADP
ap-2132	3	5	the	the	DET
ap-2132	3	6	observation	observation	NOUN
ap-2132	3	7	that	that	SCONJ
ap-2132	3	8	the	the	DET
ap-2132	3	9	tagging	tagging	NOUN
ap-2132	3	10	grid	grid	NOUN
ap-2132	3	11	vanishes	vanish	VERB
ap-2132	3	12	almost	almost	ADV
ap-2132	3	13	immediately	immediately	ADV
ap-2132	3	14	inside	inside	ADP
ap-2132	3	15	the	the	DET
ap-2132	3	16	ventricles	ventricle	NOUN
ap-2132	3	17	because	because	SCONJ
ap-2132	3	18	of	of	ADP
ap-2132	3	19	the	the	DET
ap-2132	3	20	blood	blood	NOUN
ap-2132	3	21	flow	flow	NOUN
ap-2132	3	22	.	.	PUNCT
ap-2132	4	1	segmentation	segmentation	NOUN
ap-2132	4	2	can	can	AUX
ap-2132	4	3	be	be	AUX
ap-2132	4	4	therefore	therefore	ADV
ap-2132	4	5	driven	drive	VERB
ap-2132	4	6	by	by	ADP
ap-2132	4	7	the	the	DET
ap-2132	4	8	intensity	intensity	NOUN
ap-2132	4	9	of	of	ADP
ap-2132	4	10	the	the	DET
ap-2132	4	11	tagging	tag	VERB
ap-2132	4	12	grid	grid	NOUN
ap-2132	4	13	.	.	PUNCT
ap-2132	5	1	we	we	PRON
ap-2132	5	2	estimate	estimate	VERB
ap-2132	5	3	the	the	DET
ap-2132	5	4	intensity	intensity	NOUN
ap-2132	5	5	using	use	VERB
ap-2132	5	6	a	a	DET
ap-2132	5	7	local	local	ADJ
ap-2132	5	8	variance	variance	NOUN
ap-2132	5	9	filter	filter	NOUN
ap-2132	5	10	.	.	PUNCT
ap-2132	6	1	the	the	DET
ap-2132	6	2	main	main	ADJ
ap-2132	6	3	segmentation	segmentation	NOUN
ap-2132	6	4	is	be	AUX
ap-2132	6	5	computed	compute	VERB
ap-2132	6	6	by	by	ADP
ap-2132	6	7	the	the	DET
ap-2132	6	8	graph	graph	NOUN
ap-2132	6	9	-	-	PUNCT
ap-2132	6	10	cuts	cut	NOUN
ap-2132	6	11	method	method	NOUN
ap-2132	6	12	,	,	PUNCT
ap-2132	6	13	though	though	SCONJ
ap-2132	6	14	other	other	ADJ
ap-2132	6	15	segmentation	segmentation	NOUN
ap-2132	6	16	methods	method	NOUN
ap-2132	6	17	can	can	AUX
ap-2132	6	18	also	also	ADV
ap-2132	6	19	be	be	AUX
ap-2132	6	20	used	use	VERB
ap-2132	6	21	.	.	PUNCT
ap-2132	7	1	we	we	PRON
ap-2132	7	2	compare	compare	VERB
ap-2132	7	3	the	the	DET
ap-2132	7	4	results	result	NOUN
ap-2132	7	5	obtained	obtain	VERB
ap-2132	7	6	by	by	ADP
ap-2132	7	7	our	our	PRON
ap-2132	7	8	method	method	NOUN
ap-2132	7	9	with	with	ADP
ap-2132	7	10	manual	manual	ADJ
ap-2132	7	11	segmentation	segmentation	NOUN
ap-2132	7	12	.	.	PUNCT
ap-2132	8	1	keywords	keyword	NOUN
ap-2132	8	2	:	:	PUNCT
ap-2132	8	3	image	image	NOUN
ap-2132	8	4	segmentation	segmentation	NOUN
ap-2132	8	5	,	,	PUNCT
ap-2132	8	6	medical	medical	ADJ
ap-2132	8	7	data	datum	NOUN
ap-2132	8	8	processing	processing	NOUN
ap-2132	8	9	,	,	PUNCT
ap-2132	8	10	tagged	tag	VERB
ap-2132	8	11	mri	mri	NOUN
ap-2132	8	12	data	data	PROPN
ap-2132	8	13	,	,	PUNCT
ap-2132	8	14	local	local	ADJ
ap-2132	8	15	variance	variance	NOUN
ap-2132	8	16	filter	filter	NOUN
ap-2132	8	17	,	,	PUNCT
ap-2132	8	18	graph	graph	NOUN
ap-2132	8	19	cuts	cut	NOUN
ap-2132	8	20	.	.	PUNCT
ap-2132	9	1	1	1	X
ap-2132	9	2	.	.	X
ap-2132	9	3	introduction	introduction	NOUN
ap-2132	9	4	cardiac	cardiac	ADJ
ap-2132	9	5	arrhythmia	arrhythmia	NOUN
ap-2132	9	6	is	be	AUX
ap-2132	9	7	very	very	ADV
ap-2132	9	8	common	common	ADJ
ap-2132	9	9	problem	problem	NOUN
ap-2132	9	10	in	in	ADP
ap-2132	9	11	patients	patient	NOUN
ap-2132	9	12	.	.	PUNCT
ap-2132	10	1	it	it	PRON
ap-2132	10	2	has	have	VERB
ap-2132	10	3	a	a	DET
ap-2132	10	4	wide	wide	ADJ
ap-2132	10	5	spectrum	spectrum	NOUN
ap-2132	10	6	of	of	ADP
ap-2132	10	7	causes	cause	NOUN
ap-2132	10	8	(	(	PUNCT
ap-2132	10	9	ischemic	ischemic	ADJ
ap-2132	10	10	disease	disease	NOUN
ap-2132	10	11	or	or	CCONJ
ap-2132	10	12	various	various	ADJ
ap-2132	10	13	form	form	NOUN
ap-2132	10	14	of	of	ADP
ap-2132	10	15	cardiomyopathy	cardiomyopathy	ADJ
ap-2132	10	16	)	)	PUNCT
ap-2132	10	17	and	and	CCONJ
ap-2132	10	18	leads	lead	VERB
ap-2132	10	19	to	to	ADP
ap-2132	10	20	1–2	1–2	NUM
ap-2132	10	21	%	%	NOUN
ap-2132	10	22	of	of	ADP
ap-2132	10	23	mortality	mortality	NOUN
ap-2132	10	24	in	in	ADP
ap-2132	10	25	developed	develop	VERB
ap-2132	10	26	countries	country	NOUN
ap-2132	10	27	.	.	PUNCT
ap-2132	11	1	extensive	extensive	ADJ
ap-2132	11	2	and	and	CCONJ
ap-2132	11	3	expensive	expensive	ADJ
ap-2132	11	4	efforts	effort	NOUN
ap-2132	11	5	are	be	AUX
ap-2132	11	6	therefore	therefore	ADV
ap-2132	11	7	dedicated	dedicate	VERB
ap-2132	11	8	to	to	ADP
ap-2132	11	9	the	the	DET
ap-2132	11	10	treatment	treatment	NOUN
ap-2132	11	11	of	of	ADP
ap-2132	11	12	this	this	DET
ap-2132	11	13	disease	disease	NOUN
ap-2132	11	14	,	,	PUNCT
ap-2132	11	15	e.g	e.g	X
ap-2132	11	16	implantation	implantation	NOUN
ap-2132	11	17	of	of	ADP
ap-2132	11	18	a	a	DET
ap-2132	11	19	biventricular	biventricular	PROPN
ap-2132	11	20	cardioverter	cardioverter	NOUN
ap-2132	11	21	/	/	SYM
ap-2132	11	22	defibrillator	defibrillator	NOUN
ap-2132	11	23	(	(	PUNCT
ap-2132	11	24	icd	icd	PROPN
ap-2132	11	25	)	)	PUNCT
ap-2132	11	26	.	.	PUNCT
ap-2132	12	1	unfortunately	unfortunately	ADV
ap-2132	12	2	,	,	PUNCT
ap-2132	12	3	cardiac	cardiac	ADJ
ap-2132	12	4	resynchronization	resynchronization	NOUN
ap-2132	12	5	therapy	therapy	NOUN
ap-2132	12	6	does	do	AUX
ap-2132	12	7	not	not	PART
ap-2132	12	8	always	always	ADV
ap-2132	12	9	lead	lead	VERB
ap-2132	12	10	to	to	ADP
ap-2132	12	11	successful	successful	ADJ
ap-2132	12	12	treatment	treatment	NOUN
ap-2132	12	13	.	.	PUNCT
ap-2132	13	1	30	30	NUM
ap-2132	13	2	%	%	NOUN
ap-2132	13	3	of	of	ADP
ap-2132	13	4	selected	select	VERB
ap-2132	13	5	patients	patient	NOUN
ap-2132	13	6	do	do	AUX
ap-2132	13	7	not	not	PART
ap-2132	13	8	benefit	benefit	VERB
ap-2132	13	9	from	from	ADP
ap-2132	13	10	the	the	DET
ap-2132	13	11	therapy	therapy	NOUN
ap-2132	13	12	[	[	X
ap-2132	13	13	1	1	NUM
ap-2132	13	14	,	,	PUNCT
ap-2132	13	15	2	2	NUM
ap-2132	13	16	]	]	PUNCT
ap-2132	13	17	and	and	CCONJ
ap-2132	13	18	40	40	NUM
ap-2132	13	19	%	%	NOUN
ap-2132	13	20	of	of	ADP
ap-2132	13	21	them	they	PRON
ap-2132	13	22	suffer	suffer	VERB
ap-2132	13	23	progressive	progressive	ADJ
ap-2132	13	24	worsening	worsen	VERB
ap-2132	13	25	of	of	ADP
ap-2132	13	26	their	their	PRON
ap-2132	13	27	heart	heart	NOUN
ap-2132	13	28	function	function	NOUN
ap-2132	13	29	after	after	ADP
ap-2132	13	30	this	this	DET
ap-2132	13	31	treatment	treatment	NOUN
ap-2132	13	32	[	[	X
ap-2132	13	33	2	2	NUM
ap-2132	13	34	]	]	PUNCT
ap-2132	13	35	.	.	PUNCT
ap-2132	14	1	better	well	ADJ
ap-2132	14	2	classification	classification	NOUN
ap-2132	14	3	and	and	CCONJ
ap-2132	14	4	arrhythmia	arrhythmia	NOUN
ap-2132	14	5	specification	specification	NOUN
ap-2132	14	6	,	,	PUNCT
ap-2132	14	7	together	together	ADV
ap-2132	14	8	with	with	ADP
ap-2132	14	9	improved	improved	ADJ
ap-2132	14	10	navigation	navigation	NOUN
ap-2132	14	11	of	of	ADP
ap-2132	14	12	the	the	DET
ap-2132	14	13	icd	icd	PROPN
ap-2132	14	14	implantation	implantation	NOUN
ap-2132	14	15	,	,	PUNCT
ap-2132	14	16	could	could	AUX
ap-2132	14	17	significantly	significantly	ADV
ap-2132	14	18	help	help	VERB
ap-2132	14	19	to	to	PART
ap-2132	14	20	increase	increase	VERB
ap-2132	14	21	the	the	DET
ap-2132	14	22	number	number	NOUN
ap-2132	14	23	of	of	ADP
ap-2132	14	24	successfully	successfully	ADV
ap-2132	14	25	treated	treat	VERB
ap-2132	14	26	patients	patient	NOUN
ap-2132	14	27	.	.	PUNCT
ap-2132	15	1	a	a	DET
ap-2132	15	2	method	method	NOUN
ap-2132	15	3	that	that	PRON
ap-2132	15	4	has	have	VERB
ap-2132	15	5	the	the	DET
ap-2132	15	6	potential	potential	NOUN
ap-2132	15	7	to	to	PART
ap-2132	15	8	support	support	VERB
ap-2132	15	9	the	the	DET
ap-2132	15	10	treatment	treatment	NOUN
ap-2132	15	11	with	with	ADP
ap-2132	15	12	relevant	relevant	ADJ
ap-2132	15	13	and	and	CCONJ
ap-2132	15	14	important	important	ADJ
ap-2132	15	15	parameters	parameter	NOUN
ap-2132	15	16	is	be	AUX
ap-2132	15	17	magnetic	magnetic	ADJ
ap-2132	15	18	resonance	resonance	NOUN
ap-2132	15	19	imaging	imaging	NOUN
ap-2132	15	20	(	(	PUNCT
ap-2132	15	21	mri	mri	NOUN
ap-2132	15	22	)	)	PUNCT
ap-2132	15	23	with	with	ADP
ap-2132	15	24	spatial	spatial	ADJ
ap-2132	15	25	modulation	modulation	NOUN
ap-2132	15	26	of	of	ADP
ap-2132	15	27	the	the	DET
ap-2132	15	28	magnetization	magnetization	NOUN
ap-2132	15	29	(	(	PUNCT
ap-2132	15	30	spamm	spamm	PROPN
ap-2132	15	31	)	)	PUNCT
ap-2132	15	32	.	.	PUNCT
ap-2132	16	1	in	in	ADP
ap-2132	16	2	this	this	DET
ap-2132	16	3	case	case	NOUN
ap-2132	16	4	,	,	PUNCT
ap-2132	16	5	the	the	DET
ap-2132	16	6	detection	detection	NOUN
ap-2132	16	7	of	of	ADP
ap-2132	16	8	tagged	tag	VERB
ap-2132	16	9	myocardium	myocardium	NOUN
ap-2132	16	10	on	on	ADP
ap-2132	16	11	kinetic	kinetic	ADJ
ap-2132	16	12	mri	mri	NOUN
ap-2132	16	13	series	series	NOUN
ap-2132	16	14	during	during	ADP
ap-2132	16	15	the	the	DET
ap-2132	16	16	heart	heart	NOUN
ap-2132	16	17	cycle	cycle	NOUN
ap-2132	16	18	provides	provide	VERB
ap-2132	16	19	important	important	ADJ
ap-2132	16	20	information	information	NOUN
ap-2132	16	21	about	about	ADP
ap-2132	16	22	the	the	DET
ap-2132	16	23	circumferential	circumferential	ADJ
ap-2132	16	24	and	and	CCONJ
ap-2132	16	25	radial	radial	ADJ
ap-2132	16	26	strain	strain	NOUN
ap-2132	16	27	,	,	PUNCT
ap-2132	16	28	which	which	PRON
ap-2132	16	29	is	be	AUX
ap-2132	16	30	used	use	VERB
ap-2132	16	31	for	for	ADP
ap-2132	16	32	assessing	assess	VERB
ap-2132	16	33	of	of	ADP
ap-2132	16	34	local	local	ADJ
ap-2132	16	35	myocardial	myocardial	ADJ
ap-2132	16	36	motion	motion	NOUN
ap-2132	16	37	and	and	CCONJ
ap-2132	16	38	wall	wall	NOUN
ap-2132	16	39	deformation	deformation	NOUN
ap-2132	16	40	.	.	PUNCT
ap-2132	17	1	analysis	analysis	NOUN
ap-2132	17	2	of	of	ADP
ap-2132	17	3	the	the	DET
ap-2132	17	4	tagged	tag	VERB
ap-2132	17	5	myocardium	myocardium	NOUN
ap-2132	17	6	is	be	AUX
ap-2132	17	7	therefore	therefore	ADV
ap-2132	17	8	a	a	DET
ap-2132	17	9	method	method	NOUN
ap-2132	17	10	with	with	ADP
ap-2132	17	11	unique	unique	ADJ
ap-2132	17	12	capabilities	capability	NOUN
ap-2132	17	13	to	to	PART
ap-2132	17	14	describe	describe	VERB
ap-2132	17	15	the	the	DET
ap-2132	17	16	level	level	NOUN
ap-2132	17	17	of	of	ADP
ap-2132	17	18	myocardial	myocardial	ADJ
ap-2132	17	19	dyssynchrony	dyssynchrony	NOUN
ap-2132	17	20	.	.	PUNCT
ap-2132	18	1	myocardial	myocardial	ADJ
ap-2132	18	2	tagging	tagging	NOUN
ap-2132	18	3	is	be	AUX
ap-2132	18	4	spatial	spatial	ADJ
ap-2132	18	5	-	-	PUNCT
ap-2132	18	6	selective	selective	ADJ
ap-2132	18	7	magnetization	magnetization	NOUN
ap-2132	18	8	modulation	modulation	NOUN
ap-2132	18	9	of	of	ADP
ap-2132	18	10	the	the	DET
ap-2132	18	11	myocardium	myocardium	NOUN
ap-2132	18	12	prior	prior	ADV
ap-2132	18	13	to	to	ADP
ap-2132	18	14	imaging	imaging	NOUN
ap-2132	18	15	.	.	PUNCT
ap-2132	19	1	as	as	ADP
ap-2132	19	2	a	a	DET
ap-2132	19	3	result	result	NOUN
ap-2132	19	4	,	,	PUNCT
ap-2132	19	5	a	a	DET
ap-2132	19	6	grid	grid	NOUN
ap-2132	19	7	moving	move	VERB
ap-2132	19	8	with	with	ADP
ap-2132	19	9	the	the	DET
ap-2132	19	10	myocardium	myocardium	NOUN
ap-2132	19	11	is	be	AUX
ap-2132	19	12	measured	measure	VERB
ap-2132	19	13	in	in	ADP
ap-2132	19	14	the	the	DET
ap-2132	19	15	data	datum	NOUN
ap-2132	19	16	.	.	PUNCT
ap-2132	20	1	an	an	DET
ap-2132	20	2	example	example	NOUN
ap-2132	20	3	of	of	ADP
ap-2132	20	4	tagged	tag	VERB
ap-2132	20	5	cardiac	cardiac	ADJ
ap-2132	20	6	mri	mri	NOUN
ap-2132	20	7	is	be	AUX
ap-2132	20	8	shown	show	VERB
ap-2132	20	9	in	in	ADP
ap-2132	20	10	figure	figure	NOUN
ap-2132	20	11	1	1	NUM
ap-2132	20	12	.	.	PUNCT
ap-2132	21	1	tagging	tagging	NOUN
ap-2132	21	2	is	be	AUX
ap-2132	21	3	a	a	DET
ap-2132	21	4	helpful	helpful	ADJ
ap-2132	21	5	tool	tool	NOUN
ap-2132	21	6	for	for	ADP
ap-2132	21	7	analysing	analyse	VERB
ap-2132	21	8	the	the	DET
ap-2132	21	9	deformafigure	deformafigure	NOUN
ap-2132	21	10	1	1	NUM
ap-2132	21	11	.	.	PUNCT
ap-2132	21	12	comparison	comparison	NOUN
ap-2132	21	13	of	of	ADP
ap-2132	21	14	common	common	ADJ
ap-2132	21	15	(	(	PUNCT
ap-2132	21	16	top	top	NOUN
ap-2132	21	17	)	)	PUNCT
ap-2132	21	18	and	and	CCONJ
ap-2132	21	19	tagged	tag	VERB
ap-2132	21	20	(	(	PUNCT
ap-2132	21	21	bottom	bottom	ADJ
ap-2132	21	22	)	)	PUNCT
ap-2132	21	23	mri	mri	NOUN
ap-2132	21	24	data	data	PROPN
ap-2132	21	25	.	.	PUNCT
ap-2132	22	1	tion	tion	NOUN
ap-2132	22	2	of	of	ADP
ap-2132	22	3	myocardium	myocardium	NOUN
ap-2132	22	4	and	and	CCONJ
ap-2132	22	5	for	for	ADP
ap-2132	22	6	detecting	detect	VERB
ap-2132	22	7	dyssynchronies	dyssynchronie	NOUN
ap-2132	22	8	.	.	PUNCT
ap-2132	23	1	especially	especially	ADV
ap-2132	23	2	movement	movement	NOUN
ap-2132	23	3	in	in	ADP
ap-2132	23	4	the	the	DET
ap-2132	23	5	direction	direction	NOUN
ap-2132	23	6	tangential	tangential	ADJ
ap-2132	23	7	to	to	ADP
ap-2132	23	8	the	the	DET
ap-2132	23	9	myocardium	myocardium	ADJ
ap-2132	23	10	walls	wall	NOUN
ap-2132	23	11	is	be	AUX
ap-2132	23	12	very	very	ADV
ap-2132	23	13	difficult	difficult	ADJ
ap-2132	23	14	to	to	PART
ap-2132	23	15	recognize	recognize	VERB
ap-2132	23	16	without	without	ADP
ap-2132	23	17	tagging	tag	VERB
ap-2132	23	18	.	.	PUNCT
ap-2132	24	1	several	several	ADJ
ap-2132	24	2	methods	method	NOUN
ap-2132	24	3	for	for	ADP
ap-2132	24	4	analysing	analyse	VERB
ap-2132	24	5	the	the	DET
ap-2132	24	6	myocardium	myocardium	ADJ
ap-2132	24	7	motion	motion	NOUN
ap-2132	24	8	have	have	AUX
ap-2132	24	9	been	be	AUX
ap-2132	24	10	proposed	propose	VERB
ap-2132	24	11	.	.	PUNCT
ap-2132	25	1	these	these	DET
ap-2132	25	2	meth214	meth214	PROPN
ap-2132	25	3	http://dx.doi.org/10.14311/ap.2014.54.0214	http://dx.doi.org/10.14311/ap.2014.54.0214	NOUN
ap-2132	25	4	http://ojs.cvut.cz/ojs/index.php/ap	http://ojs.cvut.cz/ojs/index.php/ap	PROPN
ap-2132	25	5	vol	vol	NOUN
ap-2132	25	6	.	.	PUNCT
ap-2132	26	1	54	54	NUM
ap-2132	26	2	no	no	NOUN
ap-2132	26	3	.	.	PUNCT
ap-2132	27	1	3/2014	3/2014	NUM
ap-2132	27	2	segmenting	segment	VERB
ap-2132	27	3	tagged	tag	VERB
ap-2132	27	4	cardiac	cardiac	ADJ
ap-2132	27	5	mri	mri	NOUN
ap-2132	27	6	data	datum	NOUN
ap-2132	27	7	using	use	VERB
ap-2132	27	8	a	a	DET
ap-2132	27	9	local	local	ADJ
ap-2132	27	10	variance	variance	NOUN
ap-2132	27	11	filter	filter	NOUN
ap-2132	27	12	(	(	PUNCT
ap-2132	27	13	a	a	NOUN
ap-2132	27	14	)	)	PUNCT
ap-2132	27	15	original	original	ADJ
ap-2132	27	16	image	image	NOUN
ap-2132	27	17	(	(	PUNCT
ap-2132	27	18	b	b	NOUN
ap-2132	27	19	)	)	PUNCT
ap-2132	27	20	filtering	filter	VERB
ap-2132	27	21	with	with	ADP
ap-2132	27	22	n	n	NOUN
ap-2132	27	23	=	=	SYM
ap-2132	27	24	2	2	NUM
ap-2132	27	25	(	(	PUNCT
ap-2132	27	26	c	c	NOUN
ap-2132	27	27	)	)	PUNCT
ap-2132	27	28	filtering	filter	VERB
ap-2132	27	29	with	with	ADP
ap-2132	27	30	n	n	NOUN
ap-2132	27	31	=	=	SYM
ap-2132	27	32	10	10	NUM
ap-2132	27	33	(	(	PUNCT
ap-2132	27	34	d	d	NOUN
ap-2132	27	35	)	)	PUNCT
ap-2132	27	36	filtering	filter	VERB
ap-2132	27	37	with	with	ADP
ap-2132	27	38	n	n	NOUN
ap-2132	27	39	=	=	SYM
ap-2132	27	40	17	17	NUM
ap-2132	27	41	figure	figure	NOUN
ap-2132	27	42	2	2	NUM
ap-2132	27	43	.	.	NOUN
ap-2132	27	44	results	result	NOUN
ap-2132	27	45	of	of	ADP
ap-2132	27	46	the	the	DET
ap-2132	27	47	local	local	ADJ
ap-2132	27	48	variance	variance	NOUN
ap-2132	27	49	filter	filter	NOUN
ap-2132	27	50	.	.	PUNCT
ap-2132	28	1	ods	ods	PROPN
ap-2132	28	2	involve	involve	VERB
ap-2132	28	3	movement	movement	NOUN
ap-2132	28	4	detection	detection	NOUN
ap-2132	28	5	and	and	CCONJ
ap-2132	28	6	for	for	ADP
ap-2132	28	7	postprocessing	postprocesse	VERB
ap-2132	28	8	it	it	PRON
ap-2132	28	9	is	be	AUX
ap-2132	28	10	usually	usually	ADV
ap-2132	28	11	necessary	necessary	ADJ
ap-2132	28	12	to	to	PART
ap-2132	28	13	segment	segment	VERB
ap-2132	28	14	the	the	DET
ap-2132	28	15	ventricles	ventricle	NOUN
ap-2132	28	16	.	.	PUNCT
ap-2132	29	1	widely	widely	ADV
ap-2132	29	2	used	use	VERB
ap-2132	29	3	segmentation	segmentation	NOUN
ap-2132	29	4	methods	method	NOUN
ap-2132	29	5	based	base	VERB
ap-2132	29	6	on	on	ADP
ap-2132	29	7	edge	edge	NOUN
ap-2132	29	8	detectors	detector	NOUN
ap-2132	29	9	can	can	AUX
ap-2132	29	10	not	not	PART
ap-2132	29	11	be	be	AUX
ap-2132	29	12	successful	successful	ADJ
ap-2132	29	13	,	,	PUNCT
ap-2132	29	14	because	because	SCONJ
ap-2132	29	15	the	the	DET
ap-2132	29	16	tagging	tagging	NOUN
ap-2132	29	17	grid	grid	NOUN
ap-2132	29	18	creates	create	VERB
ap-2132	29	19	new	new	ADJ
ap-2132	29	20	spurious	spurious	ADJ
ap-2132	29	21	edges	edge	NOUN
ap-2132	29	22	and	and	CCONJ
ap-2132	29	23	it	it	PRON
ap-2132	29	24	destroys	destroy	VERB
ap-2132	29	25	the	the	DET
ap-2132	29	26	original	original	ADJ
ap-2132	29	27	ones	one	NOUN
ap-2132	29	28	.	.	PUNCT
ap-2132	30	1	one	one	PRON
ap-2132	30	2	should	should	AUX
ap-2132	30	3	focus	focus	VERB
ap-2132	30	4	on	on	ADP
ap-2132	30	5	the	the	DET
ap-2132	30	6	grid	grid	NOUN
ap-2132	30	7	pattern	pattern	NOUN
ap-2132	30	8	and	and	CCONJ
ap-2132	30	9	not	not	PART
ap-2132	30	10	on	on	ADP
ap-2132	30	11	the	the	DET
ap-2132	30	12	intensity	intensity	NOUN
ap-2132	30	13	itself	itself	PRON
ap-2132	30	14	.	.	PUNCT
ap-2132	31	1	methods	method	NOUN
ap-2132	31	2	proposed	propose	VERB
ap-2132	31	3	so	so	ADV
ap-2132	31	4	far	far	ADV
ap-2132	31	5	have	have	AUX
ap-2132	31	6	mainly	mainly	ADV
ap-2132	31	7	been	be	AUX
ap-2132	31	8	applied	apply	VERB
ap-2132	31	9	to	to	ADP
ap-2132	31	10	modulation	modulation	NOUN
ap-2132	31	11	in	in	ADP
ap-2132	31	12	one	one	NUM
ap-2132	31	13	direction	direction	NOUN
ap-2132	31	14	.	.	PUNCT
ap-2132	32	1	in	in	ADP
ap-2132	32	2	this	this	DET
ap-2132	32	3	case	case	NOUN
ap-2132	32	4	,	,	PUNCT
ap-2132	32	5	parallel	parallel	ADJ
ap-2132	32	6	lines	line	NOUN
ap-2132	32	7	appear	appear	VERB
ap-2132	32	8	in	in	ADP
ap-2132	32	9	the	the	DET
ap-2132	32	10	image	image	NOUN
ap-2132	32	11	instead	instead	ADV
ap-2132	32	12	of	of	ADP
ap-2132	32	13	a	a	DET
ap-2132	32	14	rectangular	rectangular	ADJ
ap-2132	32	15	grid	grid	NOUN
ap-2132	32	16	.	.	PUNCT
ap-2132	33	1	in	in	ADP
ap-2132	33	2	[	[	X
ap-2132	33	3	3	3	NUM
ap-2132	33	4	]	]	PUNCT
ap-2132	33	5	,	,	PUNCT
ap-2132	33	6	the	the	DET
ap-2132	33	7	authors	author	NOUN
ap-2132	33	8	present	present	VERB
ap-2132	33	9	a	a	DET
ap-2132	33	10	method	method	NOUN
ap-2132	33	11	based	base	VERB
ap-2132	33	12	on	on	ADP
ap-2132	33	13	local	local	ADJ
ap-2132	33	14	appearance	appearance	NOUN
ap-2132	33	15	features	feature	VERB
ap-2132	33	16	like	like	ADP
ap-2132	33	17	edges	edge	NOUN
ap-2132	33	18	,	,	PUNCT
ap-2132	33	19	ridges	ridge	NOUN
ap-2132	33	20	and	and	CCONJ
ap-2132	33	21	tagging	tag	VERB
ap-2132	33	22	line	line	NOUN
ap-2132	33	23	breakpoints	breakpoint	NOUN
ap-2132	33	24	.	.	PUNCT
ap-2132	34	1	based	base	VERB
ap-2132	34	2	on	on	ADP
ap-2132	34	3	these	these	DET
ap-2132	34	4	features	feature	NOUN
ap-2132	34	5	,	,	PUNCT
ap-2132	34	6	the	the	DET
ap-2132	34	7	adaboost	adaboost	ADJ
ap-2132	34	8	algorithm	algorithm	NOUN
ap-2132	34	9	detects	detect	NOUN
ap-2132	34	10	edges	edge	VERB
ap-2132	34	11	in	in	ADP
ap-2132	34	12	the	the	DET
ap-2132	34	13	tagged	tag	VERB
ap-2132	34	14	data	datum	NOUN
ap-2132	34	15	and	and	CCONJ
ap-2132	34	16	an	an	DET
ap-2132	34	17	active	active	ADJ
ap-2132	34	18	shape	shape	NOUN
ap-2132	34	19	model	model	NOUN
ap-2132	34	20	is	be	AUX
ap-2132	34	21	then	then	ADV
ap-2132	34	22	used	use	VERB
ap-2132	34	23	for	for	ADP
ap-2132	34	24	the	the	DET
ap-2132	34	25	segmentation	segmentation	NOUN
ap-2132	34	26	.	.	PUNCT
ap-2132	35	1	grayscale	grayscale	NOUN
ap-2132	35	2	opening	opening	NOUN
ap-2132	35	3	and	and	CCONJ
ap-2132	35	4	closing	closing	NOUN
ap-2132	35	5	as	as	ADP
ap-2132	35	6	an	an	DET
ap-2132	35	7	image	image	NOUN
ap-2132	35	8	segmentation	segmentation	NOUN
ap-2132	35	9	preprocessing	preprocessing	NOUN
ap-2132	35	10	phase	phase	NOUN
ap-2132	35	11	is	be	AUX
ap-2132	35	12	used	use	VERB
ap-2132	35	13	in	in	ADP
ap-2132	35	14	[	[	X
ap-2132	35	15	4	4	NUM
ap-2132	35	16	]	]	PUNCT
ap-2132	35	17	.	.	PUNCT
ap-2132	36	1	another	another	DET
ap-2132	36	2	approach	approach	NOUN
ap-2132	36	3	is	be	AUX
ap-2132	36	4	to	to	PART
ap-2132	36	5	remove	remove	VERB
ap-2132	36	6	the	the	DET
ap-2132	36	7	tagging	tagging	NOUN
ap-2132	36	8	lines	line	NOUN
ap-2132	36	9	by	by	ADP
ap-2132	36	10	the	the	DET
ap-2132	36	11	gabor	gabor	PROPN
ap-2132	36	12	filter	filter	PROPN
ap-2132	36	13	bank	bank	PROPN
ap-2132	36	14	technique	technique	NOUN
ap-2132	36	15	before	before	ADP
ap-2132	36	16	the	the	DET
ap-2132	36	17	main	main	ADJ
ap-2132	36	18	segmentation	segmentation	NOUN
ap-2132	36	19	as	as	SCONJ
ap-2132	36	20	presented	present	VERB
ap-2132	36	21	in	in	ADP
ap-2132	36	22	[	[	X
ap-2132	36	23	5	5	NUM
ap-2132	36	24	]	]	PUNCT
ap-2132	36	25	.	.	PUNCT
ap-2132	37	1	in	in	ADP
ap-2132	37	2	[	[	X
ap-2132	37	3	6	6	NUM
ap-2132	37	4	]	]	PUNCT
ap-2132	37	5	,	,	PUNCT
ap-2132	37	6	a	a	DET
ap-2132	37	7	shape	shape	NOUN
ap-2132	37	8	learning	learn	VERB
ap-2132	37	9	method	method	NOUN
ap-2132	37	10	is	be	AUX
ap-2132	37	11	presented	present	VERB
ap-2132	37	12	.	.	PUNCT
ap-2132	38	1	in	in	ADP
ap-2132	38	2	the	the	DET
ap-2132	38	3	new	new	ADJ
ap-2132	38	4	method	method	NOUN
ap-2132	38	5	,	,	PUNCT
ap-2132	38	6	we	we	PRON
ap-2132	38	7	employ	employ	VERB
ap-2132	38	8	the	the	DET
ap-2132	38	9	local	local	ADJ
ap-2132	38	10	variance	variance	NOUN
ap-2132	38	11	filter	filter	NOUN
ap-2132	38	12	(	(	PUNCT
ap-2132	38	13	lvf	lvf	NOUN
ap-2132	38	14	)	)	PUNCT
ap-2132	38	15	on	on	ADP
ap-2132	38	16	the	the	DET
ap-2132	38	17	image	image	NOUN
ap-2132	38	18	intensity	intensity	NOUN
ap-2132	38	19	function	function	NOUN
ap-2132	38	20	.	.	PUNCT
ap-2132	39	1	after	after	ADP
ap-2132	39	2	this	this	DET
ap-2132	39	3	preprocessing	preprocessing	NOUN
ap-2132	39	4	,	,	PUNCT
ap-2132	39	5	common	common	ADJ
ap-2132	39	6	segmentation	segmentation	NOUN
ap-2132	39	7	methods	method	NOUN
ap-2132	39	8	like	like	ADP
ap-2132	39	9	level	level	NOUN
ap-2132	39	10	-	-	PUNCT
ap-2132	39	11	set	set	NOUN
ap-2132	39	12	[	[	X
ap-2132	39	13	7	7	NUM
ap-2132	39	14	,	,	PUNCT
ap-2132	39	15	8	8	NUM
ap-2132	39	16	]	]	PUNCT
ap-2132	39	17	or	or	CCONJ
ap-2132	39	18	graph	graph	NOUN
ap-2132	39	19	-	-	PUNCT
ap-2132	39	20	cuts	cut	NOUN
ap-2132	39	21	[	[	X
ap-2132	39	22	9–11	9–11	X
ap-2132	39	23	]	]	PUNCT
ap-2132	39	24	can	can	AUX
ap-2132	39	25	be	be	AUX
ap-2132	39	26	used	use	VERB
ap-2132	39	27	.	.	PUNCT
ap-2132	40	1	we	we	PRON
ap-2132	40	2	demonstrate	demonstrate	VERB
ap-2132	40	3	our	our	PRON
ap-2132	40	4	method	method	NOUN
ap-2132	40	5	in	in	ADP
ap-2132	40	6	combination	combination	NOUN
ap-2132	40	7	with	with	ADP
ap-2132	40	8	the	the	DET
ap-2132	40	9	graph	graph	NOUN
ap-2132	40	10	-	-	PUNCT
ap-2132	40	11	cuts	cut	NOUN
ap-2132	40	12	method	method	NOUN
ap-2132	40	13	since	since	SCONJ
ap-2132	40	14	it	it	PRON
ap-2132	40	15	is	be	AUX
ap-2132	40	16	faster	fast	ADJ
ap-2132	40	17	and	and	CCONJ
ap-2132	40	18	it	it	PRON
ap-2132	40	19	gives	give	VERB
ap-2132	40	20	results	result	NOUN
ap-2132	40	21	comparable	comparable	ADJ
ap-2132	40	22	with	with	ADP
ap-2132	40	23	the	the	DET
ap-2132	40	24	level	level	NOUN
ap-2132	40	25	-	-	PUNCT
ap-2132	40	26	set	set	NOUN
ap-2132	40	27	method	method	NOUN
ap-2132	40	28	.	.	PUNCT
ap-2132	41	1	215	215	NUM
ap-2132	41	2	t.oberhuber	t.oberhuber	NOUN
ap-2132	41	3	,	,	PUNCT
ap-2132	41	4	s.	s.	PROPN
ap-2132	41	5	kučera	kučera	PROPN
ap-2132	41	6	,	,	PUNCT
ap-2132	41	7	j.	j.	PROPN
ap-2132	41	8	loucký	loucký	PROPN
ap-2132	41	9	et	et	PROPN
ap-2132	41	10	al	al	PROPN
ap-2132	41	11	.	.	PROPN
ap-2132	41	12	acta	acta	PROPN
ap-2132	41	13	polytechnica	polytechnica	PROPN
ap-2132	41	14	2	2	NUM
ap-2132	41	15	.	.	PUNCT
ap-2132	41	16	contribution	contribution	NOUN
ap-2132	41	17	of	of	ADP
ap-2132	41	18	the	the	DET
ap-2132	41	19	method	method	NOUN
ap-2132	41	20	we	we	PRON
ap-2132	41	21	propose	propose	VERB
ap-2132	41	22	a	a	DET
ap-2132	41	23	new	new	ADJ
ap-2132	41	24	method	method	NOUN
ap-2132	41	25	involving	involve	VERB
ap-2132	41	26	a	a	DET
ap-2132	41	27	local	local	ADJ
ap-2132	41	28	variance	variance	NOUN
ap-2132	41	29	filter	filter	NOUN
ap-2132	41	30	for	for	ADP
ap-2132	41	31	segmenting	segment	VERB
ap-2132	41	32	the	the	DET
ap-2132	41	33	tagged	tag	VERB
ap-2132	41	34	mri	mri	NOUN
ap-2132	41	35	data	datum	NOUN
ap-2132	41	36	.	.	PUNCT
ap-2132	42	1	this	this	DET
ap-2132	42	2	filter	filter	NOUN
ap-2132	42	3	serves	serve	VERB
ap-2132	42	4	as	as	ADP
ap-2132	42	5	preprocessing	preprocesse	VERB
ap-2132	42	6	for	for	ADP
ap-2132	42	7	the	the	DET
ap-2132	42	8	graph	graph	NOUN
ap-2132	42	9	-	-	PUNCT
ap-2132	42	10	cuts	cut	NOUN
ap-2132	42	11	method	method	NOUN
ap-2132	42	12	.	.	PUNCT
ap-2132	43	1	we	we	PRON
ap-2132	43	2	present	present	VERB
ap-2132	43	3	results	result	NOUN
ap-2132	43	4	of	of	ADP
ap-2132	43	5	the	the	DET
ap-2132	43	6	method	method	NOUN
ap-2132	43	7	on	on	ADP
ap-2132	43	8	several	several	ADJ
ap-2132	43	9	time	time	NOUN
ap-2132	43	10	sequences	sequence	NOUN
ap-2132	43	11	,	,	PUNCT
ap-2132	43	12	and	and	CCONJ
ap-2132	43	13	also	also	ADV
ap-2132	43	14	a	a	DET
ap-2132	43	15	comparison	comparison	NOUN
ap-2132	43	16	with	with	ADP
ap-2132	43	17	manual	manual	ADJ
ap-2132	43	18	segmentation	segmentation	NOUN
ap-2132	43	19	.	.	PUNCT
ap-2132	44	1	the	the	DET
ap-2132	44	2	main	main	ADJ
ap-2132	44	3	advantage	advantage	NOUN
ap-2132	44	4	of	of	ADP
ap-2132	44	5	our	our	PRON
ap-2132	44	6	method	method	NOUN
ap-2132	44	7	is	be	AUX
ap-2132	44	8	that	that	SCONJ
ap-2132	44	9	it	it	PRON
ap-2132	44	10	does	do	AUX
ap-2132	44	11	not	not	PART
ap-2132	44	12	involve	involve	VERB
ap-2132	44	13	any	any	DET
ap-2132	44	14	learning	learning	NOUN
ap-2132	44	15	phase	phase	NOUN
ap-2132	44	16	.	.	PUNCT
ap-2132	45	1	only	only	ADV
ap-2132	45	2	four	four	NUM
ap-2132	45	3	parameters	parameter	NOUN
ap-2132	45	4	need	need	VERB
ap-2132	45	5	to	to	PART
ap-2132	45	6	be	be	AUX
ap-2132	45	7	set	set	VERB
ap-2132	45	8	up	up	ADP
ap-2132	45	9	.	.	PUNCT
ap-2132	46	1	one	one	NUM
ap-2132	46	2	of	of	ADP
ap-2132	46	3	the	the	DET
ap-2132	46	4	parameters	parameter	NOUN
ap-2132	46	5	can	can	AUX
ap-2132	46	6	be	be	AUX
ap-2132	46	7	estimated	estimate	VERB
ap-2132	46	8	from	from	ADP
ap-2132	46	9	the	the	DET
ap-2132	46	10	tagging	tagging	NOUN
ap-2132	46	11	grid	grid	NOUN
ap-2132	46	12	period	period	NOUN
ap-2132	46	13	.	.	PUNCT
ap-2132	47	1	the	the	DET
ap-2132	47	2	method	method	NOUN
ap-2132	47	3	is	be	AUX
ap-2132	47	4	not	not	PART
ap-2132	47	5	very	very	ADV
ap-2132	47	6	sensitive	sensitive	ADJ
ap-2132	47	7	to	to	ADP
ap-2132	47	8	the	the	DET
ap-2132	47	9	other	other	ADJ
ap-2132	47	10	parameters	parameter	NOUN
ap-2132	47	11	.	.	PUNCT
ap-2132	48	1	3	3	X
ap-2132	48	2	.	.	X
ap-2132	48	3	detection	detection	NOUN
ap-2132	48	4	of	of	ADP
ap-2132	48	5	the	the	DET
ap-2132	48	6	ventricles	ventricle	NOUN
ap-2132	48	7	from	from	ADP
ap-2132	48	8	the	the	DET
ap-2132	48	9	tagged	tag	VERB
ap-2132	48	10	mri	mri	NOUN
ap-2132	48	11	data	datum	NOUN
ap-2132	48	12	in	in	ADP
ap-2132	48	13	image	image	NOUN
ap-2132	48	14	segmentation	segmentation	NOUN
ap-2132	48	15	,	,	PUNCT
ap-2132	48	16	we	we	PRON
ap-2132	48	17	aim	aim	VERB
ap-2132	48	18	to	to	PART
ap-2132	48	19	find	find	VERB
ap-2132	48	20	one	one	NUM
ap-2132	48	21	or	or	CCONJ
ap-2132	48	22	more	more	ADJ
ap-2132	48	23	regions	region	NOUN
ap-2132	48	24	in	in	ADP
ap-2132	48	25	the	the	DET
ap-2132	48	26	image	image	NOUN
ap-2132	48	27	such	such	ADJ
ap-2132	48	28	that	that	SCONJ
ap-2132	48	29	their	their	PRON
ap-2132	48	30	borders	border	NOUN
ap-2132	48	31	are	be	AUX
ap-2132	48	32	defined	define	VERB
ap-2132	48	33	by	by	ADP
ap-2132	48	34	the	the	DET
ap-2132	48	35	edges	edge	NOUN
ap-2132	48	36	in	in	ADP
ap-2132	48	37	the	the	DET
ap-2132	48	38	image	image	NOUN
ap-2132	48	39	,	,	PUNCT
ap-2132	48	40	and	and	CCONJ
ap-2132	48	41	the	the	DET
ap-2132	48	42	intensity	intensity	NOUN
ap-2132	48	43	function	function	NOUN
ap-2132	48	44	is	be	AUX
ap-2132	48	45	homogeneous	homogeneous	ADJ
ap-2132	48	46	inside	inside	ADP
ap-2132	48	47	this	this	DET
ap-2132	48	48	region	region	NOUN
ap-2132	48	49	.	.	PUNCT
ap-2132	49	1	this	this	PRON
ap-2132	49	2	can	can	AUX
ap-2132	49	3	not	not	PART
ap-2132	49	4	be	be	AUX
ap-2132	49	5	fulfilled	fulfil	VERB
ap-2132	49	6	with	with	ADP
ap-2132	49	7	tagged	tag	VERB
ap-2132	49	8	mri	mri	NOUN
ap-2132	49	9	data	datum	NOUN
ap-2132	49	10	,	,	PUNCT
ap-2132	49	11	because	because	SCONJ
ap-2132	49	12	the	the	DET
ap-2132	49	13	tagging	tagging	NOUN
ap-2132	49	14	grid	grid	NOUN
ap-2132	49	15	itself	itself	PRON
ap-2132	49	16	creates	create	VERB
ap-2132	49	17	spurious	spurious	ADJ
ap-2132	49	18	edges	edge	NOUN
ap-2132	49	19	which	which	PRON
ap-2132	49	20	do	do	AUX
ap-2132	49	21	not	not	PART
ap-2132	49	22	define	define	VERB
ap-2132	49	23	the	the	DET
ap-2132	49	24	borders	border	NOUN
ap-2132	49	25	of	of	ADP
ap-2132	49	26	the	the	DET
ap-2132	49	27	ventricles	ventricle	NOUN
ap-2132	49	28	.	.	PUNCT
ap-2132	50	1	as	as	SCONJ
ap-2132	50	2	can	can	AUX
ap-2132	50	3	be	be	AUX
ap-2132	50	4	seen	see	VERB
ap-2132	50	5	in	in	ADP
ap-2132	50	6	figure	figure	NOUN
ap-2132	50	7	1	1	NUM
ap-2132	50	8	,	,	PUNCT
ap-2132	50	9	the	the	DET
ap-2132	50	10	tagging	tag	VERB
ap-2132	50	11	grid	grid	NOUN
ap-2132	50	12	disappears	disappear	VERB
ap-2132	50	13	very	very	ADV
ap-2132	50	14	quickly	quickly	ADV
ap-2132	50	15	inside	inside	ADP
ap-2132	50	16	the	the	DET
ap-2132	50	17	ventricles	ventricle	NOUN
ap-2132	50	18	.	.	PUNCT
ap-2132	51	1	blood	blood	NOUN
ap-2132	51	2	is	be	AUX
ap-2132	51	3	tagged	tag	VERB
ap-2132	51	4	in	in	ADP
ap-2132	51	5	the	the	DET
ap-2132	51	6	same	same	ADJ
ap-2132	51	7	way	way	NOUN
ap-2132	51	8	as	as	ADP
ap-2132	51	9	the	the	DET
ap-2132	51	10	cardiac	cardiac	ADJ
ap-2132	51	11	tissue	tissue	NOUN
ap-2132	51	12	.	.	PUNCT
ap-2132	52	1	however	however	ADV
ap-2132	52	2	,	,	PUNCT
ap-2132	52	3	molecules	molecule	NOUN
ap-2132	52	4	of	of	ADP
ap-2132	52	5	blood	blood	NOUN
ap-2132	52	6	with	with	ADP
ap-2132	52	7	different	different	ADJ
ap-2132	52	8	magnetic	magnetic	ADJ
ap-2132	52	9	modulation	modulation	NOUN
ap-2132	52	10	mix	mix	VERB
ap-2132	52	11	together	together	ADV
ap-2132	52	12	almost	almost	ADV
ap-2132	52	13	immediately	immediately	ADV
ap-2132	52	14	.	.	PUNCT
ap-2132	53	1	this	this	DET
ap-2132	53	2	observation	observation	NOUN
ap-2132	53	3	leads	lead	VERB
ap-2132	53	4	us	we	PRON
ap-2132	53	5	to	to	ADP
ap-2132	53	6	the	the	DET
ap-2132	53	7	following	follow	VERB
ap-2132	53	8	idea	idea	NOUN
ap-2132	53	9	.	.	PUNCT
ap-2132	54	1	by	by	ADP
ap-2132	54	2	making	make	VERB
ap-2132	54	3	measurements	measurement	NOUN
ap-2132	54	4	of	of	ADP
ap-2132	54	5	the	the	DET
ap-2132	54	6	local	local	ADJ
ap-2132	54	7	intensity	intensity	NOUN
ap-2132	54	8	of	of	ADP
ap-2132	54	9	the	the	DET
ap-2132	54	10	tagging	tag	VERB
ap-2132	54	11	grid	grid	NOUN
ap-2132	54	12	,	,	PUNCT
ap-2132	54	13	we	we	PRON
ap-2132	54	14	could	could	AUX
ap-2132	54	15	detect	detect	VERB
ap-2132	54	16	regions	region	NOUN
ap-2132	54	17	inside	inside	ADP
ap-2132	54	18	and	and	CCONJ
ap-2132	54	19	outside	outside	ADP
ap-2132	54	20	the	the	DET
ap-2132	54	21	ventricles	ventricle	NOUN
ap-2132	54	22	.	.	PUNCT
ap-2132	55	1	the	the	DET
ap-2132	55	2	grid	grid	NOUN
ap-2132	55	3	can	can	AUX
ap-2132	55	4	be	be	AUX
ap-2132	55	5	defined	define	VERB
ap-2132	55	6	as	as	ADP
ap-2132	55	7	a	a	DET
ap-2132	55	8	fast	fast	ADJ
ap-2132	55	9	transition	transition	NOUN
ap-2132	55	10	of	of	ADP
ap-2132	55	11	the	the	DET
ap-2132	55	12	intensity	intensity	NOUN
ap-2132	55	13	function	function	NOUN
ap-2132	55	14	from	from	ADP
ap-2132	55	15	white	white	ADJ
ap-2132	55	16	to	to	AUX
ap-2132	55	17	dark	dark	ADJ
ap-2132	55	18	.	.	PUNCT
ap-2132	56	1	this	this	PRON
ap-2132	56	2	means	mean	VERB
ap-2132	56	3	that	that	SCONJ
ap-2132	56	4	there	there	PRON
ap-2132	56	5	is	be	VERB
ap-2132	56	6	significant	significant	ADJ
ap-2132	56	7	variation	variation	NOUN
ap-2132	56	8	of	of	ADP
ap-2132	56	9	the	the	DET
ap-2132	56	10	intensity	intensity	NOUN
ap-2132	56	11	function	function	NOUN
ap-2132	56	12	.	.	PUNCT
ap-2132	57	1	we	we	PRON
ap-2132	57	2	estimate	estimate	VERB
ap-2132	57	3	it	it	PRON
ap-2132	57	4	by	by	ADP
ap-2132	57	5	lvf	lvf	NOUN
ap-2132	57	6	[	[	X
ap-2132	57	7	12	12	NUM
ap-2132	57	8	]	]	PUNCT
ap-2132	57	9	.	.	PUNCT
ap-2132	58	1	let	let	VERB
ap-2132	58	2	the	the	DET
ap-2132	58	3	image	image	NOUN
ap-2132	58	4	consist	consist	VERB
ap-2132	58	5	of	of	ADP
ap-2132	58	6	pixels	pixel	NOUN
ap-2132	58	7	(	(	PUNCT
ap-2132	58	8	i	i	PROPN
ap-2132	58	9	,	,	PUNCT
ap-2132	58	10	j	j	PROPN
ap-2132	58	11	)	)	PUNCT
ap-2132	58	12	for	for	ADP
ap-2132	58	13	i	i	PRON
ap-2132	58	14	,	,	PUNCT
ap-2132	58	15	j	j	PROPN
ap-2132	58	16	∈	∈	PROPN
ap-2132	58	17	0	0	PUNCT
ap-2132	58	18	.	.	PUNCT
ap-2132	58	19	.	.	PUNCT
ap-2132	58	20	.	.	PUNCT
ap-2132	59	1	n	n	X
ap-2132	59	2	.	.	PUNCT
ap-2132	60	1	let	let	VERB
ap-2132	60	2	it	it	PRON
ap-2132	60	3	be	be	AUX
ap-2132	60	4	mapped	map	VERB
ap-2132	60	5	to	to	ADP
ap-2132	60	6	a	a	DET
ap-2132	60	7	domain	domain	NOUN
ap-2132	60	8	[	[	X
ap-2132	60	9	0	0	NUM
ap-2132	60	10	,	,	PUNCT
ap-2132	60	11	1]2	1]2	NUM
ap-2132	60	12	,	,	PUNCT
ap-2132	60	13	and	and	CCONJ
ap-2132	60	14	we	we	PRON
ap-2132	60	15	assume	assume	VERB
ap-2132	60	16	that	that	SCONJ
ap-2132	60	17	it	it	PRON
ap-2132	60	18	is	be	AUX
ap-2132	60	19	symmetrically	symmetrically	ADV
ap-2132	60	20	and	and	CCONJ
ap-2132	60	21	periodically	periodically	ADV
ap-2132	60	22	extrapolated	extrapolate	VERB
ap-2132	60	23	to	to	ADP
ap-2132	60	24	r2	r2	PROPN
ap-2132	60	25	[	[	X
ap-2132	60	26	13	13	NUM
ap-2132	60	27	]	]	PUNCT
ap-2132	60	28	.	.	PUNCT
ap-2132	61	1	for	for	ADP
ap-2132	61	2	each	each	DET
ap-2132	61	3	pixel	pixel	NOUN
ap-2132	61	4	p	p	PROPN
ap-2132	61	5	of	of	ADP
ap-2132	61	6	the	the	DET
ap-2132	61	7	image	image	NOUN
ap-2132	61	8	with	with	ADP
ap-2132	61	9	coordinates	coordinate	NOUN
ap-2132	61	10	(	(	PUNCT
ap-2132	61	11	i	i	PROPN
ap-2132	61	12	,	,	PUNCT
ap-2132	61	13	j	j	PROPN
ap-2132	61	14	)	)	PUNCT
ap-2132	61	15	,	,	PUNCT
ap-2132	61	16	we	we	PRON
ap-2132	61	17	take	take	VERB
ap-2132	61	18	its	its	PRON
ap-2132	61	19	squared	square	VERB
ap-2132	61	20	neighborhood	neighborhood	NOUN
ap-2132	61	21	np	np	INTJ
ap-2132	61	22	np	np	INTJ
ap-2132	61	23	≡	≡	PROPN
ap-2132	61	24	{	{	PUNCT
ap-2132	61	25	(	(	PUNCT
ap-2132	61	26	i′	i′	NOUN
ap-2132	61	27	,	,	PUNCT
ap-2132	61	28	j′	j′	PROPN
ap-2132	61	29	)	)	PUNCT
ap-2132	62	1	|	|	ADV
ap-2132	62	2	i′	i′	VERB
ap-2132	62	3	∈	∈	PROPN
ap-2132	62	4	i−	i−	PROPN
ap-2132	62	5	n	n	CCONJ
ap-2132	62	6	,	,	PUNCT
ap-2132	62	7	.	.	PUNCT
ap-2132	62	8	.	.	PUNCT
ap-2132	62	9	.	.	PUNCT
ap-2132	63	1	i+	i+	NUM
ap-2132	63	2	n	n	CCONJ
ap-2132	63	3	,	,	PUNCT
ap-2132	63	4	j′	j′	PROPN
ap-2132	63	5	∈	∈	PROPN
ap-2132	64	1	j	j	PROPN
ap-2132	64	2	−	−	PROPN
ap-2132	64	3	n	n	PROPN
ap-2132	64	4	.	.	PUNCT
ap-2132	64	5	.	.	PUNCT
ap-2132	64	6	.	.	PUNCT
ap-2132	65	1	j	j	PROPN
ap-2132	65	2	+	+	CCONJ
ap-2132	65	3	n	n	PROPN
ap-2132	65	4	}	}	PUNCT
ap-2132	65	5	,	,	PUNCT
ap-2132	65	6	(	(	PUNCT
ap-2132	65	7	1	1	X
ap-2132	65	8	)	)	PUNCT
ap-2132	65	9	for	for	ADP
ap-2132	65	10	some	some	DET
ap-2132	65	11	n	n	NOUN
ap-2132	65	12	>	>	X
ap-2132	65	13	0	0	X
ap-2132	65	14	.	.	PUNCT
ap-2132	66	1	lvf	lvf	PROPN
ap-2132	66	2	is	be	AUX
ap-2132	66	3	defined	define	VERB
ap-2132	66	4	as	as	ADP
ap-2132	66	5	jp	jp	NOUN
ap-2132	66	6	=	=	SYM
ap-2132	66	7	1	1	NUM
ap-2132	66	8	|np|	|np|	NOUN
ap-2132	66	9	∑	∑	ADV
ap-2132	66	10	q∈np	q∈np	NOUN
ap-2132	66	11	(	(	PUNCT
ap-2132	66	12	iq	iq	NOUN
ap-2132	66	13	−np	−np	NOUN
ap-2132	66	14	)	)	PUNCT
ap-2132	66	15	2	2	NUM
ap-2132	66	16	for	for	ADP
ap-2132	66	17	np	np	NOUN
ap-2132	66	18	=	=	SYM
ap-2132	66	19	1	1	NUM
ap-2132	66	20	|np|	|np|	NOUN
ap-2132	66	21	∑	∑	SYM
ap-2132	66	22	k∈np	k∈np	NOUN
ap-2132	66	23	ik	ik	PROPN
ap-2132	66	24	.	.	PUNCT
ap-2132	67	1	where	where	SCONJ
ap-2132	67	2	|np|	|np|	NOUN
ap-2132	67	3	denotes	denote	VERB
ap-2132	67	4	the	the	DET
ap-2132	67	5	number	number	NOUN
ap-2132	67	6	of	of	ADP
ap-2132	67	7	pixels	pixel	NOUN
ap-2132	67	8	in	in	ADP
ap-2132	67	9	np	np	ADP
ap-2132	67	10	,	,	PUNCT
ap-2132	67	11	and	and	CCONJ
ap-2132	67	12	iq	iq	PROPN
ap-2132	67	13	is	be	AUX
ap-2132	67	14	the	the	DET
ap-2132	67	15	image	image	NOUN
ap-2132	67	16	intensity	intensity	NOUN
ap-2132	67	17	in	in	ADP
ap-2132	67	18	pixel	pixel	PROPN
ap-2132	67	19	q.	q.	PROPN
ap-2132	67	20	figure	figure	PROPN
ap-2132	67	21	2	2	NUM
ap-2132	67	22	shows	show	VERB
ap-2132	67	23	results	result	NOUN
ap-2132	67	24	obtained	obtain	VERB
ap-2132	67	25	with	with	ADP
ap-2132	67	26	different	different	ADJ
ap-2132	67	27	parameter	parameter	NOUN
ap-2132	67	28	n.	n.	NOUN
ap-2132	67	29	if	if	SCONJ
ap-2132	67	30	n	n	NOUN
ap-2132	67	31	is	be	AUX
ap-2132	67	32	small	small	ADJ
ap-2132	67	33	,	,	PUNCT
ap-2132	67	34	lvf	lvf	ADJ
ap-2132	67	35	still	still	ADV
ap-2132	67	36	recognizes	recognize	VERB
ap-2132	67	37	particular	particular	ADJ
ap-2132	67	38	meshes	mesh	NOUN
ap-2132	67	39	of	of	ADP
ap-2132	67	40	the	the	DET
ap-2132	67	41	tagging	tag	VERB
ap-2132	67	42	grid	grid	NOUN
ap-2132	67	43	.	.	PUNCT
ap-2132	68	1	spurious	spurious	ADJ
ap-2132	68	2	edges	edge	NOUN
ap-2132	68	3	are	be	AUX
ap-2132	68	4	still	still	ADV
ap-2132	68	5	present	present	ADJ
ap-2132	68	6	and	and	CCONJ
ap-2132	68	7	segmentation	segmentation	NOUN
ap-2132	68	8	would	would	AUX
ap-2132	68	9	hardly	hardly	ADV
ap-2132	68	10	be	be	AUX
ap-2132	68	11	possible	possible	ADJ
ap-2132	68	12	.	.	PUNCT
ap-2132	69	1	as	as	SCONJ
ap-2132	69	2	n	n	PRON
ap-2132	69	3	grows	grow	VERB
ap-2132	69	4	,	,	PUNCT
ap-2132	69	5	the	the	DET
ap-2132	69	6	grid	grid	NOUN
ap-2132	69	7	meshes	mesh	VERB
ap-2132	69	8	blend	blend	NOUN
ap-2132	69	9	in	in	ADV
ap-2132	69	10	and	and	CCONJ
ap-2132	69	11	we	we	PRON
ap-2132	69	12	get	get	VERB
ap-2132	69	13	continuous	continuous	ADJ
ap-2132	69	14	detection	detection	NOUN
ap-2132	69	15	of	of	ADP
ap-2132	69	16	parts	part	NOUN
ap-2132	69	17	with	with	ADP
ap-2132	69	18	the	the	DET
ap-2132	69	19	tagging	tag	VERB
ap-2132	69	20	grid	grid	NOUN
ap-2132	69	21	(	(	PUNCT
ap-2132	69	22	white	white	ADJ
ap-2132	69	23	color	color	NOUN
ap-2132	69	24	)	)	PUNCT
ap-2132	69	25	and	and	CCONJ
ap-2132	69	26	without	without	ADP
ap-2132	69	27	(	(	PUNCT
ap-2132	69	28	dark	dark	ADJ
ap-2132	69	29	color	color	NOUN
ap-2132	69	30	)	)	PUNCT
ap-2132	69	31	.	.	PUNCT
ap-2132	70	1	a	a	DET
ap-2132	70	2	drawback	drawback	NOUN
ap-2132	70	3	of	of	ADP
ap-2132	70	4	filtering	filter	VERB
ap-2132	70	5	with	with	ADP
ap-2132	70	6	larger	large	ADJ
ap-2132	70	7	n	n	NOUN
ap-2132	70	8	is	be	AUX
ap-2132	70	9	the	the	DET
ap-2132	70	10	loss	loss	NOUN
ap-2132	70	11	of	of	ADP
ap-2132	70	12	sharp	sharp	ADJ
ap-2132	70	13	edges	edge	NOUN
ap-2132	70	14	.	.	PUNCT
ap-2132	71	1	a	a	DET
ap-2132	71	2	segmentation	segmentation	NOUN
ap-2132	71	3	algorithm	algorithm	NOUN
ap-2132	71	4	must	must	AUX
ap-2132	71	5	therefore	therefore	ADV
ap-2132	71	6	be	be	AUX
ap-2132	71	7	applied	apply	VERB
ap-2132	71	8	carefully	carefully	ADV
ap-2132	71	9	.	.	PUNCT
ap-2132	72	1	4	4	X
ap-2132	72	2	.	.	X
ap-2132	72	3	segmentation	segmentation	NOUN
ap-2132	72	4	with	with	ADP
ap-2132	72	5	the	the	DET
ap-2132	72	6	graph	graph	NOUN
ap-2132	72	7	-	-	PUNCT
ap-2132	72	8	cuts	cut	NOUN
ap-2132	72	9	image	image	NOUN
ap-2132	72	10	segmentation	segmentation	NOUN
ap-2132	72	11	by	by	ADP
ap-2132	72	12	graph	graph	NOUN
ap-2132	72	13	-	-	PUNCT
ap-2132	72	14	cuts	cut	NOUN
ap-2132	72	15	was	be	AUX
ap-2132	72	16	introduced	introduce	VERB
ap-2132	72	17	in	in	ADP
ap-2132	72	18	[	[	X
ap-2132	72	19	9	9	NUM
ap-2132	72	20	,	,	PUNCT
ap-2132	72	21	10	10	NUM
ap-2132	72	22	]	]	PUNCT
ap-2132	72	23	.	.	PUNCT
ap-2132	73	1	the	the	DET
ap-2132	73	2	idea	idea	NOUN
ap-2132	73	3	of	of	ADP
ap-2132	73	4	this	this	DET
ap-2132	73	5	method	method	NOUN
ap-2132	73	6	is	be	AUX
ap-2132	73	7	to	to	PART
ap-2132	73	8	build	build	VERB
ap-2132	73	9	a	a	DET
ap-2132	73	10	graph	graph	NOUN
ap-2132	73	11	g	g	NOUN
ap-2132	73	12	consisting	consist	VERB
ap-2132	73	13	of	of	ADP
ap-2132	73	14	so	so	ADV
ap-2132	73	15	-	-	PUNCT
ap-2132	73	16	called	call	VERB
ap-2132	73	17	non	non	ADJ
ap-2132	73	18	-	-	ADJ
ap-2132	73	19	terminal	terminal	ADJ
ap-2132	73	20	nodes	node	NOUN
ap-2132	73	21	represented	represent	VERB
ap-2132	73	22	by	by	ADP
ap-2132	73	23	the	the	DET
ap-2132	73	24	pixels	pixel	NOUN
ap-2132	73	25	of	of	ADP
ap-2132	73	26	the	the	DET
ap-2132	73	27	input	input	NOUN
ap-2132	73	28	image	image	NOUN
ap-2132	73	29	and	and	CCONJ
ap-2132	73	30	two	two	NUM
ap-2132	73	31	terminal	terminal	ADJ
ap-2132	73	32	nodes	node	NOUN
ap-2132	73	33	represented	represent	VERB
ap-2132	73	34	by	by	ADP
ap-2132	73	35	a	a	DET
ap-2132	73	36	source	source	NOUN
ap-2132	73	37	s	s	NOUN
ap-2132	73	38	and	and	CCONJ
ap-2132	73	39	a	a	DET
ap-2132	73	40	sink	sink	NOUN
ap-2132	73	41	t	t	NOUN
ap-2132	73	42	.	.	PUNCT
ap-2132	74	1	the	the	DET
ap-2132	74	2	edges	edge	NOUN
ap-2132	74	3	of	of	ADP
ap-2132	74	4	the	the	DET
ap-2132	74	5	graph	graph	NOUN
ap-2132	74	6	g	g	PROPN
ap-2132	74	7	split	split	NOUN
ap-2132	74	8	into	into	ADP
ap-2132	74	9	two	two	NUM
ap-2132	74	10	sets	set	NOUN
ap-2132	74	11	–	–	PUNCT
ap-2132	74	12	tlinks	tlink	NOUN
ap-2132	74	13	connecting	connect	VERB
ap-2132	74	14	a	a	DET
ap-2132	74	15	non	non	ADJ
ap-2132	74	16	-	-	ADJ
ap-2132	74	17	terminal	terminal	ADJ
ap-2132	74	18	node	node	NOUN
ap-2132	74	19	with	with	ADP
ap-2132	74	20	a	a	DET
ap-2132	74	21	terminal	terminal	ADJ
ap-2132	74	22	node	node	NOUN
ap-2132	74	23	and	and	CCONJ
ap-2132	74	24	n	n	CCONJ
ap-2132	74	25	-	-	PUNCT
ap-2132	74	26	links	link	NOUN
ap-2132	74	27	connecting	connect	VERB
ap-2132	74	28	two	two	NUM
ap-2132	74	29	neighboring	neighboring	ADJ
ap-2132	74	30	nonterminal	nonterminal	ADJ
ap-2132	74	31	nodes	node	NOUN
ap-2132	74	32	(	(	PUNCT
ap-2132	74	33	pixels	pixel	NOUN
ap-2132	74	34	)	)	PUNCT
ap-2132	74	35	.	.	PUNCT
ap-2132	75	1	for	for	ADP
ap-2132	75	2	each	each	DET
ap-2132	75	3	interior	interior	ADJ
ap-2132	75	4	pixel	pixel	NOUN
ap-2132	75	5	(	(	PUNCT
ap-2132	75	6	i	i	PROPN
ap-2132	75	7	,	,	PUNCT
ap-2132	75	8	j	j	PROPN
ap-2132	75	9	)	)	PUNCT
ap-2132	75	10	,	,	PUNCT
ap-2132	75	11	we	we	PRON
ap-2132	75	12	consider	consider	VERB
ap-2132	75	13	four	four	NUM
ap-2132	75	14	neighboring	neighboring	NOUN
ap-2132	75	15	pixels	pixel	NOUN
ap-2132	75	16	(	(	PUNCT
ap-2132	75	17	i	i	NOUN
ap-2132	75	18	+	+	NOUN
ap-2132	75	19	1	1	NUM
ap-2132	75	20	,	,	PUNCT
ap-2132	75	21	j	j	NOUN
ap-2132	75	22	)	)	PUNCT
ap-2132	75	23	,	,	PUNCT
ap-2132	75	24	(	(	PUNCT
ap-2132	75	25	i	i	PRON
ap-2132	75	26	−	−	PROPN
ap-2132	75	27	1	1	NUM
ap-2132	75	28	,	,	PUNCT
ap-2132	75	29	j	j	PROPN
ap-2132	75	30	)	)	PUNCT
ap-2132	75	31	,	,	PUNCT
ap-2132	75	32	(	(	PUNCT
ap-2132	75	33	i	i	PRON
ap-2132	75	34	,	,	PUNCT
ap-2132	75	35	j	j	PROPN
ap-2132	75	36	+	+	PROPN
ap-2132	75	37	1	1	NUM
ap-2132	75	38	)	)	PUNCT
ap-2132	75	39	,	,	PUNCT
ap-2132	75	40	(	(	PUNCT
ap-2132	75	41	i	i	PRON
ap-2132	75	42	,	,	PUNCT
ap-2132	75	43	j	j	PROPN
ap-2132	75	44	−	−	PROPN
ap-2132	75	45	1	1	NUM
ap-2132	75	46	)	)	PUNCT
ap-2132	75	47	.	.	PUNCT
ap-2132	76	1	in	in	ADP
ap-2132	76	2	a	a	DET
ap-2132	76	3	similar	similar	ADJ
ap-2132	76	4	way	way	NOUN
ap-2132	76	5	we	we	PRON
ap-2132	76	6	define	define	VERB
ap-2132	76	7	neighboring	neighboring	NOUN
ap-2132	76	8	pixels	pixel	NOUN
ap-2132	76	9	for	for	ADP
ap-2132	76	10	pixels	pixel	NOUN
ap-2132	76	11	on	on	ADP
ap-2132	76	12	the	the	DET
ap-2132	76	13	boundaries	boundary	NOUN
ap-2132	76	14	of	of	ADP
ap-2132	76	15	the	the	DET
ap-2132	76	16	image	image	NOUN
ap-2132	76	17	.	.	PUNCT
ap-2132	77	1	to	to	PART
ap-2132	77	2	initiate	initiate	VERB
ap-2132	77	3	the	the	DET
ap-2132	77	4	segmentation	segmentation	NOUN
ap-2132	77	5	process	process	NOUN
ap-2132	77	6	we	we	PRON
ap-2132	77	7	define	define	VERB
ap-2132	77	8	seeds	seed	NOUN
ap-2132	77	9	,	,	PUNCT
ap-2132	77	10	i.e.	i.e.	X
ap-2132	77	11	pixels	pixel	NOUN
ap-2132	77	12	marked	mark	VERB
ap-2132	77	13	by	by	ADP
ap-2132	77	14	the	the	DET
ap-2132	77	15	user	user	NOUN
ap-2132	77	16	inside	inside	ADP
ap-2132	77	17	the	the	DET
ap-2132	77	18	segmented	segment	VERB
ap-2132	77	19	object	object	NOUN
ap-2132	77	20	(	(	PUNCT
ap-2132	77	21	which	which	PRON
ap-2132	77	22	will	will	AUX
ap-2132	77	23	be	be	AUX
ap-2132	77	24	denoted	denote	VERB
ap-2132	77	25	as	as	ADP
ap-2132	77	26	o	o	NOUN
ap-2132	77	27	)	)	PUNCT
ap-2132	77	28	and	and	CCONJ
ap-2132	77	29	pixels	pixel	NOUN
ap-2132	77	30	outside	outside	ADP
ap-2132	77	31	the	the	DET
ap-2132	77	32	segmented	segment	VERB
ap-2132	77	33	object	object	NOUN
ap-2132	77	34	(	(	PUNCT
ap-2132	77	35	which	which	PRON
ap-2132	77	36	will	will	AUX
ap-2132	77	37	be	be	AUX
ap-2132	77	38	denoted	denote	VERB
ap-2132	77	39	as	as	ADP
ap-2132	77	40	p	p	NOUN
ap-2132	77	41	)	)	PUNCT
ap-2132	77	42	.	.	PUNCT
ap-2132	78	1	the	the	DET
ap-2132	78	2	method	method	NOUN
ap-2132	78	3	of	of	ADP
ap-2132	78	4	graph	graph	NOUN
ap-2132	78	5	-	-	PUNCT
ap-2132	78	6	cuts	cut	NOUN
ap-2132	78	7	is	be	AUX
ap-2132	78	8	based	base	VERB
ap-2132	78	9	on	on	ADP
ap-2132	78	10	finding	find	VERB
ap-2132	78	11	either	either	CCONJ
ap-2132	78	12	the	the	DET
ap-2132	78	13	minimal	minimal	ADJ
ap-2132	78	14	cut	cut	NOUN
ap-2132	78	15	or	or	CCONJ
ap-2132	78	16	the	the	DET
ap-2132	78	17	maximal	maximal	ADJ
ap-2132	78	18	flow	flow	NOUN
ap-2132	78	19	in	in	ADP
ap-2132	78	20	a	a	DET
ap-2132	78	21	graph	graph	NOUN
ap-2132	78	22	with	with	ADP
ap-2132	78	23	weighted	weight	VERB
ap-2132	78	24	edges	edge	NOUN
ap-2132	78	25	.	.	PUNCT
ap-2132	79	1	the	the	DET
ap-2132	79	2	two	two	NUM
ap-2132	79	3	problems	problem	NOUN
ap-2132	79	4	are	be	AUX
ap-2132	79	5	dual	dual	ADJ
ap-2132	79	6	to	to	ADP
ap-2132	79	7	each	each	DET
ap-2132	79	8	other	other	ADJ
ap-2132	79	9	.	.	PUNCT
ap-2132	80	1	imagine	imagine	VERB
ap-2132	80	2	that	that	SCONJ
ap-2132	80	3	the	the	DET
ap-2132	80	4	edges	edge	NOUN
ap-2132	80	5	in	in	ADP
ap-2132	80	6	the	the	DET
ap-2132	80	7	graph	graph	NOUN
ap-2132	80	8	correspond	correspond	ADJ
ap-2132	80	9	to	to	ADP
ap-2132	80	10	pipes	pipe	NOUN
ap-2132	80	11	and	and	CCONJ
ap-2132	80	12	we	we	PRON
ap-2132	80	13	pump	pump	VERB
ap-2132	80	14	water	water	NOUN
ap-2132	80	15	from	from	ADP
ap-2132	80	16	the	the	DET
ap-2132	80	17	source	source	NOUN
ap-2132	80	18	node	node	NOUN
ap-2132	80	19	.	.	PUNCT
ap-2132	81	1	the	the	DET
ap-2132	81	2	water	water	NOUN
ap-2132	81	3	passes	pass	VERB
ap-2132	81	4	through	through	ADP
ap-2132	81	5	the	the	DET
ap-2132	81	6	graph	graph	NOUN
ap-2132	81	7	and	and	CCONJ
ap-2132	81	8	it	it	PRON
ap-2132	81	9	can	can	AUX
ap-2132	81	10	leave	leave	VERB
ap-2132	81	11	only	only	ADV
ap-2132	81	12	at	at	ADP
ap-2132	81	13	the	the	DET
ap-2132	81	14	sink	sink	NOUN
ap-2132	81	15	.	.	PUNCT
ap-2132	82	1	the	the	DET
ap-2132	82	2	maximal	maximal	ADJ
ap-2132	82	3	flow	flow	NOUN
ap-2132	82	4	,	,	PUNCT
ap-2132	82	5	that	that	PRON
ap-2132	82	6	can	can	AUX
ap-2132	82	7	be	be	AUX
ap-2132	82	8	reached	reach	VERB
ap-2132	82	9	,	,	PUNCT
ap-2132	82	10	depends	depend	VERB
ap-2132	82	11	on	on	ADP
ap-2132	82	12	the	the	DET
ap-2132	82	13	capacities	capacity	NOUN
ap-2132	82	14	(	(	PUNCT
ap-2132	82	15	weights	weight	NOUN
ap-2132	82	16	)	)	PUNCT
ap-2132	82	17	of	of	ADP
ap-2132	82	18	the	the	DET
ap-2132	82	19	pipes	pipe	NOUN
ap-2132	82	20	(	(	PUNCT
ap-2132	82	21	edges	edge	NOUN
ap-2132	82	22	)	)	PUNCT
ap-2132	82	23	.	.	PUNCT
ap-2132	83	1	at	at	ADP
ap-2132	83	2	a	a	DET
ap-2132	83	3	certain	certain	ADJ
ap-2132	83	4	point	point	NOUN
ap-2132	83	5	,	,	PUNCT
ap-2132	83	6	some	some	DET
ap-2132	83	7	set	set	NOUN
ap-2132	83	8	of	of	ADP
ap-2132	83	9	pipes	pipe	NOUN
ap-2132	83	10	gets	get	AUX
ap-2132	83	11	saturated	saturate	VERB
ap-2132	83	12	and	and	CCONJ
ap-2132	83	13	we	we	PRON
ap-2132	83	14	can	can	AUX
ap-2132	83	15	not	not	PART
ap-2132	83	16	pump	pump	VERB
ap-2132	83	17	more	more	ADJ
ap-2132	83	18	water	water	NOUN
ap-2132	83	19	through	through	ADP
ap-2132	83	20	the	the	DET
ap-2132	83	21	graph	graph	NOUN
ap-2132	83	22	.	.	PUNCT
ap-2132	84	1	this	this	PRON
ap-2132	84	2	defines	define	VERB
ap-2132	84	3	the	the	DET
ap-2132	84	4	maximal	maximal	ADJ
ap-2132	84	5	flow	flow	NOUN
ap-2132	84	6	.	.	PUNCT
ap-2132	85	1	at	at	ADP
ap-2132	85	2	the	the	DET
ap-2132	85	3	same	same	ADJ
ap-2132	85	4	time	time	NOUN
ap-2132	85	5	,	,	PUNCT
ap-2132	85	6	the	the	DET
ap-2132	85	7	same	same	ADJ
ap-2132	85	8	set	set	NOUN
ap-2132	85	9	of	of	ADP
ap-2132	85	10	edges	edge	NOUN
ap-2132	85	11	is	be	AUX
ap-2132	85	12	the	the	DET
ap-2132	85	13	minimal	minimal	ADJ
ap-2132	85	14	cut	cut	NOUN
ap-2132	85	15	(	(	PUNCT
ap-2132	85	16	it	it	PRON
ap-2132	85	17	is	be	AUX
ap-2132	85	18	likely	likely	ADJ
ap-2132	85	19	that	that	SCONJ
ap-2132	85	20	pipes	pipe	NOUN
ap-2132	85	21	with	with	ADP
ap-2132	85	22	smaller	small	ADJ
ap-2132	85	23	capacity	capacity	NOUN
ap-2132	85	24	will	will	AUX
ap-2132	85	25	be	be	AUX
ap-2132	85	26	saturated	saturate	VERB
ap-2132	85	27	first	first	ADV
ap-2132	85	28	)	)	PUNCT
ap-2132	85	29	.	.	PUNCT
ap-2132	86	1	with	with	ADP
ap-2132	86	2	a	a	DET
ap-2132	86	3	proper	proper	ADJ
ap-2132	86	4	definition	definition	NOUN
ap-2132	86	5	of	of	ADP
ap-2132	86	6	the	the	DET
ap-2132	86	7	edge	edge	NOUN
ap-2132	86	8	weights	weight	NOUN
ap-2132	86	9	in	in	ADP
ap-2132	86	10	the	the	DET
ap-2132	86	11	graph	graph	NOUN
ap-2132	86	12	,	,	PUNCT
ap-2132	86	13	the	the	DET
ap-2132	86	14	minimal	minimal	ADJ
ap-2132	86	15	-	-	PUNCT
ap-2132	86	16	cut	cut	VERB
ap-2132	86	17	/	/	SYM
ap-2132	86	18	maximalflow	maximalflow	NOUN
ap-2132	86	19	agrees	agree	VERB
ap-2132	86	20	with	with	ADP
ap-2132	86	21	the	the	DET
ap-2132	86	22	segmented	segment	VERB
ap-2132	86	23	object	object	NOUN
ap-2132	86	24	.	.	PUNCT
ap-2132	87	1	if	if	SCONJ
ap-2132	87	2	an	an	DET
ap-2132	87	3	n	n	NOUN
ap-2132	87	4	-	-	PUNCT
ap-2132	87	5	link	link	NOUN
ap-2132	87	6	lies	lie	VERB
ap-2132	87	7	near	near	ADP
ap-2132	87	8	to	to	ADP
ap-2132	87	9	an	an	DET
ap-2132	87	10	edge	edge	NOUN
ap-2132	87	11	in	in	ADP
ap-2132	87	12	the	the	DET
ap-2132	87	13	image	image	NOUN
ap-2132	87	14	,	,	PUNCT
ap-2132	87	15	we	we	PRON
ap-2132	87	16	set	set	VERB
ap-2132	87	17	a	a	DET
ap-2132	87	18	smaller	small	ADJ
ap-2132	87	19	capacity	capacity	NOUN
ap-2132	87	20	(	(	PUNCT
ap-2132	87	21	weight	weight	NOUN
ap-2132	87	22	)	)	PUNCT
ap-2132	87	23	to	to	ADP
ap-2132	87	24	it	it	PRON
ap-2132	87	25	,	,	PUNCT
ap-2132	87	26	because	because	SCONJ
ap-2132	87	27	it	it	PRON
ap-2132	87	28	is	be	AUX
ap-2132	87	29	likely	likely	ADJ
ap-2132	87	30	a	a	DET
ap-2132	87	31	part	part	NOUN
ap-2132	87	32	of	of	ADP
ap-2132	87	33	the	the	DET
ap-2132	87	34	boundary	boundary	NOUN
ap-2132	87	35	of	of	ADP
ap-2132	87	36	the	the	DET
ap-2132	87	37	segmented	segment	VERB
ap-2132	87	38	object	object	NOUN
ap-2132	87	39	.	.	PUNCT
ap-2132	88	1	the	the	DET
ap-2132	88	2	t	t	NOUN
ap-2132	88	3	-	-	PUNCT
ap-2132	88	4	links	link	NOUN
ap-2132	88	5	coming	come	VERB
ap-2132	88	6	from	from	ADP
ap-2132	88	7	the	the	DET
ap-2132	88	8	source	source	NOUN
ap-2132	88	9	to	to	ADP
ap-2132	88	10	the	the	DET
ap-2132	88	11	nodes	node	NOUN
ap-2132	88	12	,	,	PUNCT
ap-2132	88	13	which	which	PRON
ap-2132	88	14	are	be	AUX
ap-2132	88	15	likely	likely	ADJ
ap-2132	88	16	a	a	DET
ap-2132	88	17	part	part	NOUN
ap-2132	88	18	of	of	ADP
ap-2132	88	19	the	the	DET
ap-2132	88	20	segmented	segment	VERB
ap-2132	88	21	object	object	NOUN
ap-2132	88	22	,	,	PUNCT
ap-2132	88	23	get	get	VERB
ap-2132	88	24	higher	high	ADJ
ap-2132	88	25	capacity	capacity	NOUN
ap-2132	88	26	.	.	PUNCT
ap-2132	89	1	those	those	DET
ap-2132	89	2	connecting	connect	VERB
ap-2132	89	3	nodes	node	NOUN
ap-2132	89	4	outside	outside	ADP
ap-2132	89	5	the	the	DET
ap-2132	89	6	segmented	segment	VERB
ap-2132	89	7	object	object	NOUN
ap-2132	89	8	get	get	VERB
ap-2132	89	9	low	low	ADJ
ap-2132	89	10	capacity	capacity	NOUN
ap-2132	89	11	.	.	PUNCT
ap-2132	90	1	and	and	CCONJ
ap-2132	90	2	vice	vice	ADV
ap-2132	90	3	versa	versa	NOUN
ap-2132	90	4	for	for	ADP
ap-2132	90	5	t	t	NOUN
ap-2132	90	6	-	-	PUNCT
ap-2132	90	7	links	link	NOUN
ap-2132	90	8	connected	connect	VERB
ap-2132	90	9	with	with	ADP
ap-2132	90	10	the	the	DET
ap-2132	90	11	sink	sink	NOUN
ap-2132	90	12	.	.	PUNCT
ap-2132	91	1	a	a	DET
ap-2132	91	2	summary	summary	NOUN
ap-2132	91	3	is	be	AUX
ap-2132	91	4	presented	present	VERB
ap-2132	91	5	in	in	ADP
ap-2132	91	6	table	table	NOUN
ap-2132	91	7	1	1	NUM
ap-2132	91	8	.	.	PUNCT
ap-2132	92	1	in	in	ADP
ap-2132	92	2	this	this	DET
ap-2132	92	3	table	table	NOUN
ap-2132	92	4	,	,	PUNCT
ap-2132	92	5	functions	function	NOUN
ap-2132	92	6	b(∆i	b(∆i	ADJ
ap-2132	92	7	,	,	PUNCT
ap-2132	92	8	d	d	NOUN
ap-2132	92	9	)	)	PUNCT
ap-2132	92	10	,	,	PUNCT
ap-2132	92	11	rs(i	rs(i	NUM
ap-2132	92	12	)	)	PUNCT
ap-2132	92	13	and	and	CCONJ
ap-2132	92	14	rt(i	rt(i	NUM
ap-2132	92	15	)	)	PUNCT
ap-2132	92	16	are	be	AUX
ap-2132	92	17	defined	define	VERB
ap-2132	92	18	as	as	ADP
ap-2132	92	19	b(∆i	b(∆i	ADJ
ap-2132	92	20	,	,	PUNCT
ap-2132	92	21	d	d	NOUN
ap-2132	92	22	)	)	PUNCT
ap-2132	92	23	=	=	SYM
ap-2132	92	24	exp	exp	NOUN
ap-2132	92	25	(	(	PUNCT
ap-2132	92	26	−∆i	−∆i	NUM
ap-2132	92	27	2	2	NUM
ap-2132	92	28	2σ2	2σ2	NUM
ap-2132	92	29	n	n	CCONJ
ap-2132	92	30	)	)	PUNCT
ap-2132	92	31	·	·	PUNCT
ap-2132	93	1	1	1	NUM
ap-2132	93	2	d	d	NOUN
ap-2132	93	3	,	,	PUNCT
ap-2132	93	4	rs(i	rs(i	NUM
ap-2132	93	5	)	)	PUNCT
ap-2132	93	6	=	=	SYM
ap-2132	94	1	−	−	PROPN
ap-2132	94	2	lnp	lnp	PROPN
ap-2132	94	3	(	(	PUNCT
ap-2132	94	4	i|o	i|o	NOUN
ap-2132	94	5	)	)	PUNCT
ap-2132	94	6	,	,	PUNCT
ap-2132	94	7	rt(i	rt(i	X
ap-2132	94	8	)	)	PUNCT
ap-2132	94	9	=	=	SYM
ap-2132	94	10	−	−	PROPN
ap-2132	94	11	lnp	lnp	NOUN
ap-2132	94	12	(	(	PUNCT
ap-2132	94	13	i|p	i|p	PROPN
ap-2132	94	14	)	)	PUNCT
ap-2132	94	15	,	,	PUNCT
ap-2132	94	16	∆i	∆i	PROPN
ap-2132	94	17	=	=	PUNCT
ap-2132	94	18	|ip	|ip	X
ap-2132	94	19	−	−	PROPN
ap-2132	94	20	iq|	iq|	PROPN
ap-2132	94	21	.	.	PUNCT
ap-2132	95	1	(	(	PUNCT
ap-2132	95	2	2	2	X
ap-2132	95	3	)	)	PUNCT
ap-2132	95	4	which	which	PRON
ap-2132	95	5	we	we	PRON
ap-2132	95	6	have	have	AUX
ap-2132	95	7	adopted	adopt	VERB
ap-2132	95	8	from	from	ADP
ap-2132	95	9	[	[	X
ap-2132	95	10	14	14	NUM
ap-2132	95	11	]	]	PUNCT
ap-2132	95	12	.	.	PUNCT
ap-2132	96	1	lnp	lnp	PROPN
ap-2132	96	2	(	(	PUNCT
ap-2132	96	3	i|o	i|o	NOUN
ap-2132	96	4	)	)	PUNCT
ap-2132	96	5	and	and	CCONJ
ap-2132	96	6	lnp	lnp	PROPN
ap-2132	96	7	(	(	PUNCT
ap-2132	96	8	i|p	i|p	VERB
ap-2132	96	9	)	)	PUNCT
ap-2132	96	10	are	be	AUX
ap-2132	96	11	conditioned	condition	VERB
ap-2132	96	12	probabilities	probability	NOUN
ap-2132	96	13	expressing	express	VERB
ap-2132	96	14	216	216	NUM
ap-2132	96	15	vol	vol	NOUN
ap-2132	96	16	.	.	PUNCT
ap-2132	97	1	54	54	NUM
ap-2132	97	2	no	no	NOUN
ap-2132	97	3	.	.	PUNCT
ap-2132	98	1	3/2014	3/2014	NUM
ap-2132	98	2	segmenting	segment	VERB
ap-2132	98	3	tagged	tag	VERB
ap-2132	98	4	cardiac	cardiac	ADJ
ap-2132	98	5	mri	mri	NOUN
ap-2132	98	6	data	datum	NOUN
ap-2132	98	7	using	use	VERB
ap-2132	98	8	a	a	DET
ap-2132	98	9	local	local	ADJ
ap-2132	98	10	variance	variance	NOUN
ap-2132	98	11	filter	filter	NOUN
ap-2132	98	12	figure	figure	NOUN
ap-2132	98	13	3	3	NUM
ap-2132	98	14	.	.	NOUN
ap-2132	98	15	example	example	NOUN
ap-2132	98	16	of	of	ADP
ap-2132	98	17	an	an	DET
ap-2132	98	18	input	input	NOUN
ap-2132	98	19	non	non	ADJ
ap-2132	98	20	-	-	ADJ
ap-2132	98	21	tagged	tagged	ADJ
ap-2132	98	22	image	image	NOUN
ap-2132	98	23	with	with	ADP
ap-2132	98	24	the	the	DET
ap-2132	98	25	user	user	NOUN
ap-2132	98	26	defined	define	VERB
ap-2132	98	27	seeds	seed	NOUN
ap-2132	98	28	(	(	PUNCT
ap-2132	98	29	sets	set	VERB
ap-2132	98	30	o	o	NOUN
ap-2132	98	31	and	and	CCONJ
ap-2132	98	32	p	p	NOUN
ap-2132	98	33	)	)	PUNCT
ap-2132	98	34	in	in	ADP
ap-2132	98	35	light	light	ADJ
ap-2132	98	36	blue	blue	ADJ
ap-2132	98	37	and	and	CCONJ
ap-2132	98	38	yellow	yellow	ADJ
ap-2132	98	39	color	color	NOUN
ap-2132	98	40	.	.	PUNCT
ap-2132	99	1	link	link	NOUN
ap-2132	99	2	type	type	NOUN
ap-2132	99	3	edge	edge	NOUN
ap-2132	99	4	capacity	capacity	NOUN
ap-2132	99	5	n	n	NOUN
ap-2132	99	6	-	-	PUNCT
ap-2132	99	7	link	link	NOUN
ap-2132	99	8	(	(	PUNCT
ap-2132	99	9	p	p	X
ap-2132	99	10	,	,	PUNCT
ap-2132	99	11	q	q	NOUN
ap-2132	99	12	)	)	PUNCT
ap-2132	99	13	for	for	ADP
ap-2132	99	14	p	p	NOUN
ap-2132	99	15	,	,	PUNCT
ap-2132	99	16	q	q	PROPN
ap-2132	99	17	∈	∈	PROPN
ap-2132	99	18	p	p	X
ap-2132	99	19	,	,	PUNCT
ap-2132	99	20	d	d	X
ap-2132	99	21	=	=	SYM
ap-2132	99	22	‖(p	‖(p	ADJ
ap-2132	99	23	,	,	PUNCT
ap-2132	99	24	q)‖	q)‖	NOUN
ap-2132	99	25	b(∆i	b(∆i	VERB
ap-2132	99	26	,	,	PUNCT
ap-2132	99	27	d	d	NOUN
ap-2132	99	28	)	)	PUNCT
ap-2132	99	29	t	t	PROPN
ap-2132	99	30	-	-	PUNCT
ap-2132	99	31	link	link	NOUN
ap-2132	99	32	(	(	PUNCT
ap-2132	99	33	s	s	PROPN
ap-2132	99	34	,	,	PUNCT
ap-2132	99	35	p	p	NOUN
ap-2132	99	36	)	)	PUNCT
ap-2132	99	37	for	for	ADP
ap-2132	99	38	p	p	PROPN
ap-2132	99	39	∈	∈	PROPN
ap-2132	99	40	p	p	X
ap-2132	99	41	\	\	PROPN
ap-2132	99	42	{	{	PUNCT
ap-2132	99	43	o	o	NOUN
ap-2132	99	44	∪	∪	ADP
ap-2132	99	45	p	p	X
ap-2132	99	46	}	}	PUNCT
ap-2132	99	47	λrs(ip	λrs(ip	NUM
ap-2132	99	48	)	)	PUNCT
ap-2132	99	49	for	for	ADP
ap-2132	99	50	p	p	PROPN
ap-2132	99	51	∈	∈	PROPN
ap-2132	99	52	o	o	X
ap-2132	99	53	∞	∞	PROPN
ap-2132	99	54	for	for	ADP
ap-2132	99	55	p	p	PROPN
ap-2132	99	56	∈	∈	PROPN
ap-2132	99	57	p	p	NOUN
ap-2132	99	58	0	0	PROPN
ap-2132	100	1	(	(	PUNCT
ap-2132	100	2	p	p	X
ap-2132	100	3	,	,	PUNCT
ap-2132	100	4	t	t	PROPN
ap-2132	100	5	)	)	PUNCT
ap-2132	100	6	for	for	ADP
ap-2132	100	7	p	p	PROPN
ap-2132	100	8	∈	∈	PROPN
ap-2132	100	9	p	p	X
ap-2132	100	10	\	\	PROPN
ap-2132	100	11	{	{	PUNCT
ap-2132	100	12	o	o	NOUN
ap-2132	100	13	∪	∪	ADP
ap-2132	100	14	p	p	X
ap-2132	100	15	}	}	PUNCT
ap-2132	100	16	λrt(ip	λrt(ip	PROPN
ap-2132	100	17	)	)	PUNCT
ap-2132	100	18	for	for	ADP
ap-2132	100	19	p	p	PROPN
ap-2132	100	20	∈	∈	PROPN
ap-2132	100	21	o	o	NOUN
ap-2132	100	22	0	0	NUM
ap-2132	100	23	for	for	ADP
ap-2132	100	24	p	p	PROPN
ap-2132	100	25	∈	∈	PROPN
ap-2132	100	26	p	p	NOUN
ap-2132	100	27	∞	∞	PROPN
ap-2132	100	28	table	table	NOUN
ap-2132	100	29	1	1	NUM
ap-2132	100	30	.	.	PUNCT
ap-2132	101	1	summary	summary	NOUN
ap-2132	101	2	of	of	ADP
ap-2132	101	3	edge	edge	NOUN
ap-2132	101	4	weights	weight	NOUN
ap-2132	101	5	.	.	PUNCT
ap-2132	102	1	ip	ip	X
ap-2132	102	2	,	,	PUNCT
ap-2132	102	3	iq	iq	PROPN
ap-2132	102	4	denotes	denote	VERB
ap-2132	102	5	:	:	PUNCT
ap-2132	102	6	the	the	DET
ap-2132	102	7	intensities	intensity	NOUN
ap-2132	102	8	of	of	ADP
ap-2132	102	9	pixels	pixel	NOUN
ap-2132	102	10	p	p	NOUN
ap-2132	102	11	and	and	CCONJ
ap-2132	102	12	q	q	NOUN
ap-2132	102	13	respectively	respectively	ADV
ap-2132	102	14	(	(	PUNCT
ap-2132	102	15	after	after	ADP
ap-2132	102	16	local	local	ADJ
ap-2132	102	17	variance	variance	NOUN
ap-2132	102	18	filtering	filtering	NOUN
ap-2132	102	19	)	)	PUNCT
ap-2132	102	20	;	;	PUNCT
ap-2132	103	1	d	d	X
ap-2132	103	2	denotes	denote	VERB
ap-2132	103	3	the	the	DET
ap-2132	103	4	distance	distance	NOUN
ap-2132	103	5	of	of	ADP
ap-2132	103	6	the	the	DET
ap-2132	103	7	pixels	pixel	NOUN
ap-2132	103	8	.	.	PUNCT
ap-2132	104	1	by	by	ADP
ap-2132	104	2	symbol	symbol	NOUN
ap-2132	104	3	∞	∞	PROPN
ap-2132	104	4	we	we	PRON
ap-2132	104	5	mean	mean	VERB
ap-2132	104	6	any	any	DET
ap-2132	104	7	value	value	NOUN
ap-2132	104	8	large	large	ADJ
ap-2132	104	9	enough	enough	ADV
ap-2132	104	10	for	for	ADP
ap-2132	104	11	the	the	DET
ap-2132	104	12	edge	edge	NOUN
ap-2132	104	13	never	never	ADV
ap-2132	104	14	to	to	PART
ap-2132	104	15	get	get	AUX
ap-2132	104	16	saturated	saturate	VERB
ap-2132	104	17	while	while	SCONJ
ap-2132	104	18	finding	find	VERB
ap-2132	104	19	the	the	DET
ap-2132	104	20	maximal	maximal	ADJ
ap-2132	104	21	flow	flow	NOUN
ap-2132	104	22	.	.	PUNCT
ap-2132	105	1	0	0	NUM
ap-2132	106	1	10	10	NUM
ap-2132	106	2	20	20	NUM
ap-2132	106	3	30	30	NUM
ap-2132	106	4	40	40	NUM
ap-2132	106	5	0	0	NUM
ap-2132	106	6	255	255	NUM
ap-2132	106	7	h	h	NOUN
ap-2132	107	1	o	o	NOUN
ap-2132	107	2	(	(	PUNCT
ap-2132	107	3	i	i	NOUN
ap-2132	107	4	)	)	PUNCT
ap-2132	108	1	i	i	ADV
ap-2132	108	2	0	0	NUM
ap-2132	109	1	0.001	0.001	NUM
ap-2132	109	2	0.002	0.002	NUM
ap-2132	109	3	0.003	0.003	NUM
ap-2132	109	4	0.004	0.004	NUM
ap-2132	109	5	0.005	0.005	NUM
ap-2132	109	6	0.006	0.006	NUM
ap-2132	109	7	0.007	0.007	NUM
ap-2132	109	8	0.008	0.008	NUM
ap-2132	109	9	0	0	NUM
ap-2132	109	10	255	255	NUM
ap-2132	109	11	p	p	NOUN
ap-2132	109	12	(	(	PUNCT
ap-2132	109	13	i	i	PRON
ap-2132	109	14	|o	|o	ADJ
ap-2132	109	15	)	)	PUNCT
ap-2132	110	1	i	i	ADV
ap-2132	110	2	0	0	NUM
ap-2132	111	1	10	10	NUM
ap-2132	111	2	20	20	NUM
ap-2132	111	3	30	30	NUM
ap-2132	111	4	40	40	NUM
ap-2132	111	5	50	50	NUM
ap-2132	111	6	60	60	NUM
ap-2132	111	7	70	70	NUM
ap-2132	111	8	0	0	NUM
ap-2132	111	9	255	255	NUM
ap-2132	111	10	h	h	NOUN
ap-2132	111	11	b	b	PROPN
ap-2132	111	12	(	(	PUNCT
ap-2132	111	13	i	i	NOUN
ap-2132	111	14	)	)	PUNCT
ap-2132	111	15	i	i	PRON
ap-2132	111	16	(	(	PUNCT
ap-2132	111	17	a	a	NOUN
ap-2132	111	18	)	)	PUNCT
ap-2132	111	19	(	(	PUNCT
ap-2132	111	20	b	b	X
ap-2132	111	21	)	)	PUNCT
ap-2132	111	22	(	(	PUNCT
ap-2132	111	23	c	c	NOUN
ap-2132	111	24	)	)	PUNCT
ap-2132	111	25	0	0	NUM
ap-2132	111	26	0.002	0.002	NUM
ap-2132	111	27	0.004	0.004	NUM
ap-2132	111	28	0.006	0.006	NUM
ap-2132	111	29	0.008	0.008	NUM
ap-2132	111	30	0.01	0.01	NUM
ap-2132	111	31	0.012	0.012	NUM
ap-2132	111	32	0	0	NUM
ap-2132	111	33	255	255	NUM
ap-2132	111	34	p	p	NOUN
ap-2132	111	35	(	(	PUNCT
ap-2132	111	36	i	i	PRON
ap-2132	111	37	|p	|p	VERB
ap-2132	111	38	)	)	PUNCT
ap-2132	112	1	i	i	PRON
ap-2132	112	2	0	0	NUM
ap-2132	112	3	0.1	0.1	NUM
ap-2132	112	4	0.2	0.2	NUM
ap-2132	112	5	0.3	0.3	NUM
ap-2132	112	6	0.4	0.4	NUM
ap-2132	112	7	0.5	0.5	NUM
ap-2132	112	8	0.6	0.6	NUM
ap-2132	112	9	0.7	0.7	NUM
ap-2132	112	10	0.8	0.8	NUM
ap-2132	112	11	0.9	0.9	NUM
ap-2132	112	12	1	1	NUM
ap-2132	112	13	σn	σn	PROPN
ap-2132	112	14	32	32	NUM
ap-2132	112	15	b	b	NOUN
ap-2132	112	16	(	(	PUNCT
ap-2132	112	17	∆	∆	PROPN
ap-2132	112	18	i	i	PRON
ap-2132	112	19	,	,	PUNCT
ap-2132	112	20	1	1	X
ap-2132	112	21	)	)	PUNCT
ap-2132	112	22	∆i	∆i	PROPN
ap-2132	112	23	-40	-40	PUNCT
ap-2132	112	24	-20	-20	NUM
ap-2132	112	25	0	0	NUM
ap-2132	112	26	20	20	NUM
ap-2132	112	27	40	40	NUM
ap-2132	112	28	60	60	NUM
ap-2132	112	29	80	80	NUM
ap-2132	112	30	100	100	NUM
ap-2132	112	31	120	120	NUM
ap-2132	112	32	0	0	NUM
ap-2132	112	33	255	255	NUM
ap-2132	112	34	r	r	NOUN
ap-2132	112	35	(	(	PUNCT
ap-2132	112	36	i	i	NOUN
ap-2132	112	37	)	)	PUNCT
ap-2132	113	1	i	i	PRON
ap-2132	113	2	(	(	PUNCT
ap-2132	113	3	d	d	NOUN
ap-2132	113	4	)	)	PUNCT
ap-2132	113	5	(	(	PUNCT
ap-2132	113	6	e	e	NOUN
ap-2132	113	7	)	)	PUNCT
ap-2132	113	8	(	(	PUNCT
ap-2132	113	9	f	f	X
ap-2132	113	10	)	)	PUNCT
ap-2132	113	11	figure	figure	NOUN
ap-2132	113	12	4	4	NUM
ap-2132	113	13	.	.	PUNCT
ap-2132	114	1	(	(	PUNCT
ap-2132	114	2	a	a	X
ap-2132	114	3	)	)	PUNCT
ap-2132	114	4	histogram	histogram	NOUN
ap-2132	114	5	of	of	ADP
ap-2132	114	6	object	object	NOUN
ap-2132	114	7	seeds	seed	NOUN
ap-2132	114	8	(	(	PUNCT
ap-2132	114	9	o	o	NOUN
ap-2132	114	10	)	)	PUNCT
ap-2132	114	11	;	;	PUNCT
ap-2132	114	12	(	(	PUNCT
ap-2132	114	13	b	b	X
ap-2132	114	14	)	)	PUNCT
ap-2132	114	15	approximate	approximate	ADJ
ap-2132	114	16	probability	probability	NOUN
ap-2132	114	17	distribution	distribution	NOUN
ap-2132	114	18	of	of	ADP
ap-2132	114	19	object	object	NOUN
ap-2132	114	20	(	(	PUNCT
ap-2132	114	21	σt	σt	ADP
ap-2132	114	22	=	=	SYM
ap-2132	114	23	10	10	NUM
ap-2132	114	24	)	)	PUNCT
ap-2132	114	25	;	;	PUNCT
ap-2132	114	26	(	(	PUNCT
ap-2132	114	27	c	c	X
ap-2132	114	28	-	-	SYM
ap-2132	114	29	d	d	NOUN
ap-2132	114	30	)	)	PUNCT
ap-2132	114	31	the	the	DET
ap-2132	114	32	same	same	ADJ
ap-2132	114	33	for	for	ADP
ap-2132	114	34	seeds	seed	NOUN
ap-2132	114	35	of	of	ADP
ap-2132	114	36	background	background	NOUN
ap-2132	114	37	(	(	PUNCT
ap-2132	114	38	p	p	NOUN
ap-2132	114	39	)	)	PUNCT
ap-2132	114	40	;	;	PUNCT
ap-2132	114	41	functions	function	NOUN
ap-2132	114	42	used	use	VERB
ap-2132	114	43	for	for	ADP
ap-2132	114	44	evaluating	evaluate	VERB
ap-2132	114	45	edge	edge	NOUN
ap-2132	114	46	weights	weight	NOUN
ap-2132	114	47	:	:	PUNCT
ap-2132	114	48	(	(	PUNCT
ap-2132	114	49	e	e	NOUN
ap-2132	114	50	)	)	PUNCT
ap-2132	114	51	n	n	CCONJ
ap-2132	114	52	-	-	PUNCT
ap-2132	114	53	links	link	NOUN
ap-2132	114	54	(	(	PUNCT
ap-2132	114	55	σn	σn	NOUN
ap-2132	114	56	=	=	SYM
ap-2132	114	57	3	3	NUM
ap-2132	114	58	,	,	PUNCT
ap-2132	114	59	d	d	NOUN
ap-2132	114	60	=	=	SYM
ap-2132	114	61	1	1	NUM
ap-2132	114	62	)	)	PUNCT
ap-2132	114	63	;	;	PUNCT
ap-2132	114	64	(	(	PUNCT
ap-2132	114	65	f	f	X
ap-2132	114	66	)	)	PUNCT
ap-2132	114	67	t	t	NOUN
ap-2132	114	68	-	-	PUNCT
ap-2132	114	69	links	link	NOUN
ap-2132	114	70	.	.	PUNCT
ap-2132	115	1	the	the	DET
ap-2132	115	2	data	datum	NOUN
ap-2132	115	3	is	be	AUX
ap-2132	115	4	obtained	obtain	VERB
ap-2132	115	5	from	from	ADP
ap-2132	115	6	segmentation	segmentation	NOUN
ap-2132	115	7	of	of	ADP
ap-2132	115	8	the	the	DET
ap-2132	115	9	data	datum	NOUN
ap-2132	115	10	in	in	ADP
ap-2132	115	11	figure	figure	NOUN
ap-2132	115	12	3	3	NUM
ap-2132	115	13	.	.	NOUN
ap-2132	115	14	217	217	NUM
ap-2132	115	15	t.oberhuber	t.oberhuber	NOUN
ap-2132	115	16	,	,	PUNCT
ap-2132	115	17	s.	s.	PROPN
ap-2132	115	18	kučera	kučera	PROPN
ap-2132	115	19	,	,	PUNCT
ap-2132	115	20	j.	j.	PROPN
ap-2132	115	21	loucký	loucký	PROPN
ap-2132	115	22	et	et	PROPN
ap-2132	115	23	al	al	PROPN
ap-2132	115	24	.	.	PROPN
ap-2132	115	25	acta	acta	PROPN
ap-2132	115	26	polytechnica	polytechnica	PROPN
ap-2132	115	27	figure	figure	NOUN
ap-2132	115	28	5	5	NUM
ap-2132	115	29	.	.	PUNCT
ap-2132	115	30	comparison	comparison	NOUN
ap-2132	115	31	of	of	ADP
ap-2132	115	32	the	the	DET
ap-2132	115	33	manual	manual	ADJ
ap-2132	115	34	segmentation	segmentation	NOUN
ap-2132	115	35	(	(	PUNCT
ap-2132	115	36	dotted	dot	VERB
ap-2132	115	37	white	white	ADJ
ap-2132	115	38	lines	line	NOUN
ap-2132	115	39	)	)	PUNCT
ap-2132	115	40	and	and	CCONJ
ap-2132	115	41	the	the	DET
ap-2132	115	42	segmentation	segmentation	NOUN
ap-2132	115	43	by	by	ADP
ap-2132	115	44	the	the	DET
ap-2132	115	45	new	new	ADJ
ap-2132	115	46	method	method	NOUN
ap-2132	115	47	(	(	PUNCT
ap-2132	115	48	white	white	ADJ
ap-2132	115	49	lines	line	NOUN
ap-2132	115	50	)	)	PUNCT
ap-2132	115	51	.	.	PUNCT
ap-2132	116	1	the	the	DET
ap-2132	116	2	initial	initial	ADJ
ap-2132	116	3	seeds	seed	NOUN
ap-2132	116	4	are	be	AUX
ap-2132	116	5	marked	mark	VERB
ap-2132	116	6	as	as	ADP
ap-2132	116	7	red	red	ADJ
ap-2132	116	8	and	and	CCONJ
ap-2132	116	9	blue	blue	ADJ
ap-2132	116	10	.	.	PUNCT
ap-2132	117	1	218	218	NUM
ap-2132	117	2	vol	vol	NOUN
ap-2132	117	3	.	.	PUNCT
ap-2132	118	1	54	54	NUM
ap-2132	118	2	no	no	NOUN
ap-2132	118	3	.	.	PUNCT
ap-2132	119	1	3/2014	3/2014	NUM
ap-2132	119	2	segmenting	segment	VERB
ap-2132	119	3	tagged	tag	VERB
ap-2132	119	4	cardiac	cardiac	ADJ
ap-2132	119	5	mri	mri	NOUN
ap-2132	119	6	data	datum	NOUN
ap-2132	119	7	using	use	VERB
ap-2132	119	8	a	a	DET
ap-2132	119	9	local	local	ADJ
ap-2132	119	10	variance	variance	NOUN
ap-2132	119	11	filter	filter	NOUN
ap-2132	119	12	whether	whether	SCONJ
ap-2132	119	13	the	the	DET
ap-2132	119	14	given	give	VERB
ap-2132	119	15	pixel	pixel	PROPN
ap-2132	119	16	belongs	belong	VERB
ap-2132	119	17	to	to	PART
ap-2132	119	18	object	object	VERB
ap-2132	119	19	o	o	NOUN
ap-2132	119	20	and	and	CCONJ
ap-2132	119	21	background	background	NOUN
ap-2132	119	22	p	p	NOUN
ap-2132	119	23	,	,	PUNCT
ap-2132	119	24	respectively	respectively	ADV
ap-2132	119	25	.	.	PUNCT
ap-2132	120	1	these	these	DET
ap-2132	120	2	probabilities	probability	NOUN
ap-2132	120	3	are	be	AUX
ap-2132	120	4	determined	determine	VERB
ap-2132	120	5	from	from	ADP
ap-2132	120	6	histograms	histogram	NOUN
ap-2132	120	7	measured	measure	VERB
ap-2132	120	8	on	on	ADP
ap-2132	120	9	pixels	pixel	NOUN
ap-2132	120	10	of	of	ADP
ap-2132	120	11	object	object	NOUN
ap-2132	120	12	and	and	CCONJ
ap-2132	120	13	background	background	NOUN
ap-2132	120	14	respectively	respectively	ADV
ap-2132	120	15	.	.	PUNCT
ap-2132	121	1	one	one	PRON
ap-2132	121	2	can	can	AUX
ap-2132	121	3	show	show	VERB
ap-2132	121	4	(	(	PUNCT
ap-2132	121	5	see	see	VERB
ap-2132	121	6	[	[	X
ap-2132	121	7	11	11	NUM
ap-2132	121	8	]	]	PUNCT
ap-2132	121	9	)	)	PUNCT
ap-2132	121	10	that	that	SCONJ
ap-2132	121	11	two	two	NUM
ap-2132	121	12	t	t	NOUN
ap-2132	121	13	-	-	PUNCT
ap-2132	121	14	links	link	NOUN
ap-2132	121	15	(	(	PUNCT
ap-2132	121	16	s	s	X
ap-2132	121	17	,	,	PUNCT
ap-2132	121	18	p	p	NOUN
ap-2132	121	19	)	)	PUNCT
ap-2132	121	20	and	and	CCONJ
ap-2132	121	21	(	(	PUNCT
ap-2132	121	22	p	p	X
ap-2132	121	23	,	,	PUNCT
ap-2132	121	24	t	t	PROPN
ap-2132	121	25	)	)	PUNCT
ap-2132	121	26	may	may	AUX
ap-2132	121	27	be	be	AUX
ap-2132	121	28	combined	combine	VERB
ap-2132	121	29	into	into	ADP
ap-2132	121	30	one	one	NUM
ap-2132	121	31	link	link	NOUN
ap-2132	121	32	(	(	PUNCT
ap-2132	121	33	s	s	PROPN
ap-2132	121	34	,	,	PUNCT
ap-2132	121	35	t)p	t)p	VERB
ap-2132	121	36	with	with	ADP
ap-2132	121	37	a	a	DET
ap-2132	121	38	weight	weight	NOUN
ap-2132	121	39	r(i	r(i	NOUN
ap-2132	121	40	)	)	PUNCT
ap-2132	121	41	=	=	SYM
ap-2132	121	42	λ(rs(i)−rt(i	λ(rs(i)−rt(i	NOUN
ap-2132	121	43	)	)	PUNCT
ap-2132	121	44	)	)	PUNCT
ap-2132	121	45	.	.	PUNCT
ap-2132	122	1	we	we	PRON
ap-2132	122	2	demonstrate	demonstrate	VERB
ap-2132	122	3	the	the	DET
ap-2132	122	4	computation	computation	NOUN
ap-2132	122	5	of	of	ADP
ap-2132	122	6	the	the	DET
ap-2132	122	7	weights	weight	NOUN
ap-2132	122	8	on	on	ADP
ap-2132	122	9	non	non	ADJ
ap-2132	122	10	-	-	ADJ
ap-2132	122	11	tagged	tagged	ADJ
ap-2132	122	12	data	datum	NOUN
ap-2132	122	13	depicted	depict	VERB
ap-2132	122	14	in	in	ADP
ap-2132	122	15	figure	figure	NOUN
ap-2132	122	16	3	3	NUM
ap-2132	122	17	.	.	PUNCT
ap-2132	123	1	the	the	DET
ap-2132	123	2	histograms	histogram	NOUN
ap-2132	123	3	computed	compute	VERB
ap-2132	123	4	on	on	ADP
ap-2132	123	5	the	the	DET
ap-2132	123	6	initial	initial	ADJ
ap-2132	123	7	seeds	seed	NOUN
ap-2132	123	8	are	be	AUX
ap-2132	123	9	shown	show	VERB
ap-2132	123	10	in	in	ADP
ap-2132	123	11	figure	figure	NOUN
ap-2132	123	12	4	4	NUM
ap-2132	123	13	(	(	PUNCT
ap-2132	123	14	a	a	NOUN
ap-2132	123	15	)	)	PUNCT
ap-2132	123	16	and	and	CCONJ
ap-2132	123	17	(	(	PUNCT
ap-2132	123	18	c	c	NOUN
ap-2132	123	19	)	)	PUNCT
ap-2132	123	20	.	.	PUNCT
ap-2132	124	1	the	the	DET
ap-2132	124	2	histogram	histogram	NOUN
ap-2132	124	3	is	be	AUX
ap-2132	124	4	smoothed	smooth	VERB
ap-2132	124	5	by	by	ADP
ap-2132	124	6	a	a	DET
ap-2132	124	7	convolution	convolution	NOUN
ap-2132	124	8	with	with	ADP
ap-2132	124	9	the	the	DET
ap-2132	124	10	gaussian	gaussian	ADJ
ap-2132	124	11	kernel	kernel	NOUN
ap-2132	124	12	as	as	SCONJ
ap-2132	124	13	follows	follow	VERB
ap-2132	124	14	:	:	PUNCT
ap-2132	124	15	p	p	X
ap-2132	124	16	(	(	PUNCT
ap-2132	124	17	x	x	NOUN
ap-2132	124	18	)	)	PUNCT
ap-2132	124	19	=	=	PUNCT
ap-2132	124	20	∑	∑	PUNCT
ap-2132	124	21	i	i	PRON
ap-2132	124	22	h(i	h(i	NOUN
ap-2132	124	23	)	)	PUNCT
ap-2132	124	24	exp	exp	NOUN
ap-2132	124	25	(	(	PUNCT
ap-2132	124	26	−	−	PROPN
ap-2132	124	27	(	(	PUNCT
ap-2132	124	28	x−i)2	x−i)2	PROPN
ap-2132	124	29	2σ2	2σ2	NUM
ap-2132	124	30	t	t	NOUN
ap-2132	124	31	)	)	PUNCT
ap-2132	124	32	√	√	PROPN
ap-2132	124	33	2πσ2	2πσ2	NUM
ap-2132	124	34	t	t	NOUN
ap-2132	124	35	,	,	PUNCT
ap-2132	124	36	(	(	PUNCT
ap-2132	124	37	3	3	X
ap-2132	124	38	)	)	PUNCT
ap-2132	124	39	where	where	SCONJ
ap-2132	124	40	h	h	NOUN
ap-2132	124	41	stands	stand	VERB
ap-2132	124	42	for	for	ADP
ap-2132	124	43	one	one	NUM
ap-2132	124	44	of	of	ADP
ap-2132	124	45	the	the	DET
ap-2132	124	46	histograms	histogram	NOUN
ap-2132	124	47	ho	ho	PROPN
ap-2132	124	48	or	or	CCONJ
ap-2132	124	49	hb	hb	PROPN
ap-2132	124	50	(	(	PUNCT
ap-2132	124	51	figure	figure	NOUN
ap-2132	124	52	4	4	NUM
ap-2132	124	53	(	(	PUNCT
ap-2132	124	54	b	b	NOUN
ap-2132	124	55	)	)	PUNCT
ap-2132	124	56	and	and	CCONJ
ap-2132	124	57	(	(	PUNCT
ap-2132	124	58	d	d	NOUN
ap-2132	124	59	)	)	PUNCT
ap-2132	124	60	)	)	PUNCT
ap-2132	124	61	.	.	PUNCT
ap-2132	125	1	after	after	SCONJ
ap-2132	125	2	the	the	DET
ap-2132	125	3	weights	weight	NOUN
ap-2132	125	4	are	be	AUX
ap-2132	125	5	computed	compute	VERB
ap-2132	125	6	,	,	PUNCT
ap-2132	125	7	the	the	DET
ap-2132	125	8	minimalcut	minimalcut	ADJ
ap-2132	125	9	/	/	SYM
ap-2132	125	10	maximal	maximal	ADJ
ap-2132	125	11	-	-	PUNCT
ap-2132	125	12	flow	flow	NOUN
ap-2132	125	13	is	be	AUX
ap-2132	125	14	found	find	VERB
ap-2132	125	15	by	by	ADP
ap-2132	125	16	an	an	DET
ap-2132	125	17	appropriate	appropriate	ADJ
ap-2132	125	18	optimization	optimization	NOUN
ap-2132	125	19	algorithm	algorithm	NOUN
ap-2132	125	20	.	.	PUNCT
ap-2132	126	1	at	at	ADV
ap-2132	126	2	least	least	ADV
ap-2132	126	3	two	two	NUM
ap-2132	126	4	approaches	approach	NOUN
ap-2132	126	5	are	be	AUX
ap-2132	126	6	possible	possible	ADJ
ap-2132	126	7	.	.	PUNCT
ap-2132	127	1	the	the	DET
ap-2132	127	2	first	first	ADJ
ap-2132	127	3	is	be	AUX
ap-2132	127	4	the	the	DET
ap-2132	127	5	ford	ford	NOUN
ap-2132	127	6	-	-	PUNCT
ap-2132	127	7	fulkerson	fulkerson	NOUN
ap-2132	127	8	algorithm	algorithm	NOUN
ap-2132	127	9	[	[	X
ap-2132	127	10	11	11	NUM
ap-2132	127	11	,	,	PUNCT
ap-2132	127	12	15	15	NUM
ap-2132	127	13	,	,	PUNCT
ap-2132	127	14	16	16	NUM
ap-2132	127	15	]	]	PUNCT
ap-2132	127	16	,	,	PUNCT
ap-2132	127	17	and	and	CCONJ
ap-2132	127	18	the	the	DET
ap-2132	127	19	second	second	NOUN
ap-2132	127	20	is	be	AUX
ap-2132	127	21	the	the	DET
ap-2132	127	22	preflow	preflow	NOUN
ap-2132	127	23	-	-	PUNCT
ap-2132	127	24	push	push	NOUN
ap-2132	127	25	algorithm	algorithm	NOUN
ap-2132	127	26	[	[	X
ap-2132	127	27	16	16	NUM
ap-2132	127	28	,	,	PUNCT
ap-2132	127	29	17	17	NUM
ap-2132	127	30	]	]	PUNCT
ap-2132	127	31	.	.	PUNCT
ap-2132	128	1	an	an	DET
ap-2132	128	2	advantage	advantage	NOUN
ap-2132	128	3	of	of	ADP
ap-2132	128	4	the	the	DET
ap-2132	128	5	preflow	preflow	NOUN
ap-2132	128	6	-	-	PUNCT
ap-2132	128	7	push	push	NOUN
ap-2132	128	8	algorithm	algorithm	NOUN
ap-2132	128	9	is	be	AUX
ap-2132	128	10	its	its	PRON
ap-2132	128	11	capability	capability	NOUN
ap-2132	128	12	to	to	PART
ap-2132	128	13	run	run	VERB
ap-2132	128	14	in	in	ADP
ap-2132	128	15	parallel	parallel	NOUN
ap-2132	128	16	[	[	X
ap-2132	128	17	18	18	NUM
ap-2132	128	18	]	]	PUNCT
ap-2132	128	19	.	.	PUNCT
ap-2132	129	1	for	for	ADP
ap-2132	129	2	our	our	PRON
ap-2132	129	3	computational	computational	ADJ
ap-2132	129	4	study	study	NOUN
ap-2132	129	5	,	,	PUNCT
ap-2132	129	6	we	we	PRON
ap-2132	129	7	chose	choose	VERB
ap-2132	129	8	the	the	DET
ap-2132	129	9	preflow	preflow	NOUN
ap-2132	129	10	-	-	PUNCT
ap-2132	129	11	push	push	NOUN
ap-2132	129	12	algorithm	algorithm	NOUN
ap-2132	129	13	.	.	PUNCT
ap-2132	130	1	5	5	X
ap-2132	130	2	.	.	X
ap-2132	130	3	results	result	VERB
ap-2132	130	4	the	the	DET
ap-2132	130	5	only	only	ADJ
ap-2132	130	6	parameters	parameter	NOUN
ap-2132	130	7	that	that	PRON
ap-2132	130	8	must	must	AUX
ap-2132	130	9	be	be	AUX
ap-2132	130	10	set	set	VERB
ap-2132	130	11	in	in	ADP
ap-2132	130	12	the	the	DET
ap-2132	130	13	new	new	ADJ
ap-2132	130	14	method	method	NOUN
ap-2132	130	15	are	be	AUX
ap-2132	130	16	n	n	ADV
ap-2132	130	17	in	in	ADP
ap-2132	130	18	(	(	PUNCT
ap-2132	130	19	1	1	NUM
ap-2132	130	20	)	)	PUNCT
ap-2132	130	21	,	,	PUNCT
ap-2132	130	22	λ	λ	PROPN
ap-2132	130	23	in	in	ADP
ap-2132	130	24	t	t	PROPN
ap-2132	130	25	-	-	PUNCT
ap-2132	130	26	links	link	NOUN
ap-2132	130	27	,	,	PUNCT
ap-2132	130	28	σn	σn	NOUN
ap-2132	130	29	in	in	ADP
ap-2132	130	30	(	(	PUNCT
ap-2132	130	31	2	2	NUM
ap-2132	130	32	)	)	PUNCT
ap-2132	130	33	and	and	CCONJ
ap-2132	130	34	σt	σt	ADP
ap-2132	130	35	in	in	ADP
ap-2132	130	36	(	(	PUNCT
ap-2132	130	37	3	3	NUM
ap-2132	130	38	)	)	PUNCT
ap-2132	130	39	.	.	PUNCT
ap-2132	131	1	the	the	DET
ap-2132	131	2	choice	choice	NOUN
ap-2132	131	3	of	of	ADP
ap-2132	131	4	n	n	NUM
ap-2132	131	5	has	have	AUX
ap-2132	131	6	already	already	ADV
ap-2132	131	7	been	be	AUX
ap-2132	131	8	discussed	discuss	VERB
ap-2132	131	9	and	and	CCONJ
ap-2132	131	10	our	our	PRON
ap-2132	131	11	experiments	experiment	NOUN
ap-2132	131	12	affirm	affirm	VERB
ap-2132	131	13	that	that	SCONJ
ap-2132	131	14	the	the	DET
ap-2132	131	15	optimal	optimal	ADJ
ap-2132	131	16	value	value	NOUN
ap-2132	131	17	of	of	ADP
ap-2132	131	18	n	n	NOUN
ap-2132	131	19	corresponds	correspond	NOUN
ap-2132	131	20	with	with	ADP
ap-2132	131	21	the	the	DET
ap-2132	131	22	period	period	NOUN
ap-2132	131	23	of	of	ADP
ap-2132	131	24	the	the	DET
ap-2132	131	25	tagging	tag	VERB
ap-2132	131	26	grid	grid	NOUN
ap-2132	131	27	.	.	PUNCT
ap-2132	132	1	in	in	ADP
ap-2132	132	2	our	our	PRON
ap-2132	132	3	data	datum	NOUN
ap-2132	132	4	,	,	PUNCT
ap-2132	132	5	the	the	DET
ap-2132	132	6	period	period	NOUN
ap-2132	132	7	was	be	AUX
ap-2132	132	8	approximately	approximately	ADV
ap-2132	132	9	35	35	NUM
ap-2132	132	10	pixels	pixel	NOUN
ap-2132	132	11	and	and	CCONJ
ap-2132	132	12	that	that	PRON
ap-2132	132	13	is	be	AUX
ap-2132	132	14	how	how	SCONJ
ap-2132	132	15	we	we	PRON
ap-2132	132	16	set	set	VERB
ap-2132	132	17	n.	n.	NOUN
ap-2132	132	18	the	the	DET
ap-2132	132	19	other	other	ADJ
ap-2132	132	20	parameters	parameter	NOUN
ap-2132	132	21	were	be	AUX
ap-2132	132	22	set	set	VERB
ap-2132	132	23	as	as	ADP
ap-2132	132	24	λ	λ	PROPN
ap-2132	132	25	=	=	SYM
ap-2132	132	26	10	10	NUM
ap-2132	132	27	,	,	PUNCT
ap-2132	132	28	σt	σt	ADP
ap-2132	132	29	=	=	SYM
ap-2132	132	30	2	2	NUM
ap-2132	132	31	and	and	CCONJ
ap-2132	132	32	σn	σn	NOUN
ap-2132	132	33	=	=	NOUN
ap-2132	132	34	7	7	NUM
ap-2132	132	35	for	for	ADP
ap-2132	132	36	all	all	DET
ap-2132	132	37	experiments	experiment	NOUN
ap-2132	132	38	.	.	PUNCT
ap-2132	133	1	we	we	PRON
ap-2132	133	2	have	have	AUX
ap-2132	133	3	segmented	segment	VERB
ap-2132	133	4	data	datum	NOUN
ap-2132	133	5	measured	measure	VERB
ap-2132	133	6	on	on	ADP
ap-2132	133	7	10	10	NUM
ap-2132	133	8	patients	patient	NOUN
ap-2132	133	9	.	.	PUNCT
ap-2132	134	1	an	an	DET
ap-2132	134	2	example	example	NOUN
ap-2132	134	3	is	be	AUX
ap-2132	134	4	demonstrated	demonstrate	VERB
ap-2132	134	5	in	in	ADP
ap-2132	134	6	figure	figure	NOUN
ap-2132	134	7	5	5	NUM
ap-2132	134	8	.	.	PUNCT
ap-2132	135	1	here	here	ADV
ap-2132	135	2	we	we	PRON
ap-2132	135	3	present	present	VERB
ap-2132	135	4	a	a	DET
ap-2132	135	5	comparison	comparison	NOUN
ap-2132	135	6	of	of	ADP
ap-2132	135	7	segmentation	segmentation	NOUN
ap-2132	135	8	obtained	obtain	VERB
ap-2132	135	9	by	by	ADP
ap-2132	135	10	our	our	PRON
ap-2132	135	11	method	method	NOUN
ap-2132	135	12	and	and	CCONJ
ap-2132	135	13	by	by	ADP
ap-2132	135	14	manual	manual	ADJ
ap-2132	135	15	segmentation	segmentation	NOUN
ap-2132	135	16	.	.	PUNCT
ap-2132	136	1	the	the	DET
ap-2132	136	2	images	image	NOUN
ap-2132	136	3	in	in	ADP
ap-2132	136	4	the	the	DET
ap-2132	136	5	same	same	ADJ
ap-2132	136	6	column	column	NOUN
ap-2132	136	7	are	be	AUX
ap-2132	136	8	for	for	ADP
ap-2132	136	9	the	the	DET
ap-2132	136	10	same	same	ADJ
ap-2132	136	11	spatial	spatial	ADJ
ap-2132	136	12	slice	slice	NOUN
ap-2132	136	13	,	,	PUNCT
ap-2132	136	14	and	and	CCONJ
ap-2132	136	15	the	the	DET
ap-2132	136	16	rows	row	NOUN
ap-2132	136	17	represent	represent	VERB
ap-2132	136	18	the	the	DET
ap-2132	136	19	time	time	NOUN
ap-2132	136	20	frames	frame	NOUN
ap-2132	136	21	.	.	PUNCT
ap-2132	137	1	for	for	ADP
ap-2132	137	2	each	each	DET
ap-2132	137	3	space	space	NOUN
ap-2132	137	4	slice	slice	NOUN
ap-2132	137	5	we	we	PRON
ap-2132	137	6	show	show	VERB
ap-2132	137	7	the	the	DET
ap-2132	137	8	4th	4th	ADJ
ap-2132	137	9	to	to	ADP
ap-2132	137	10	7th	7th	ADJ
ap-2132	137	11	time	time	NOUN
ap-2132	137	12	frame	frame	NOUN
ap-2132	137	13	.	.	PUNCT
ap-2132	138	1	the	the	DET
ap-2132	138	2	method	method	NOUN
ap-2132	138	3	is	be	AUX
ap-2132	138	4	able	able	ADJ
ap-2132	138	5	to	to	PART
ap-2132	138	6	segment	segment	VERB
ap-2132	138	7	all	all	DET
ap-2132	138	8	time	time	NOUN
ap-2132	138	9	frames	frame	NOUN
ap-2132	138	10	from	from	ADP
ap-2132	138	11	the	the	DET
ap-2132	138	12	first	first	ADJ
ap-2132	138	13	to	to	ADP
ap-2132	138	14	the	the	DET
ap-2132	138	15	15th	15th	NOUN
ap-2132	138	16	.	.	PUNCT
ap-2132	139	1	after	after	ADP
ap-2132	139	2	this	this	DET
ap-2132	139	3	frame	frame	NOUN
ap-2132	139	4	,	,	PUNCT
ap-2132	139	5	the	the	DET
ap-2132	139	6	tagging	tagging	NOUN
ap-2132	139	7	grid	grid	NOUN
ap-2132	139	8	almost	almost	ADV
ap-2132	139	9	disappears	disappear	VERB
ap-2132	139	10	.	.	PUNCT
ap-2132	140	1	the	the	DET
ap-2132	140	2	biggest	big	ADJ
ap-2132	140	3	difference	difference	NOUN
ap-2132	140	4	between	between	ADP
ap-2132	140	5	manual	manual	NOUN
ap-2132	140	6	and	and	CCONJ
ap-2132	140	7	semi	semi	ADJ
ap-2132	140	8	-	-	ADJ
ap-2132	140	9	automatic	automatic	ADJ
ap-2132	140	10	segmentation	segmentation	NOUN
ap-2132	140	11	is	be	AUX
ap-2132	140	12	apparent	apparent	ADJ
ap-2132	140	13	in	in	ADP
ap-2132	140	14	the	the	DET
ap-2132	140	15	first	first	ADJ
ap-2132	140	16	column	column	NOUN
ap-2132	140	17	.	.	PUNCT
ap-2132	141	1	in	in	ADP
ap-2132	141	2	the	the	DET
ap-2132	141	3	left	left	ADJ
ap-2132	141	4	bottom	bottom	ADJ
ap-2132	141	5	part	part	NOUN
ap-2132	141	6	of	of	ADP
ap-2132	141	7	the	the	DET
ap-2132	141	8	segmentation	segmentation	NOUN
ap-2132	141	9	,	,	PUNCT
ap-2132	141	10	there	there	PRON
ap-2132	141	11	is	be	VERB
ap-2132	141	12	a	a	DET
ap-2132	141	13	papilar	papilar	ADJ
ap-2132	141	14	muscle	muscle	NOUN
ap-2132	141	15	which	which	PRON
ap-2132	141	16	was	be	AUX
ap-2132	141	17	not	not	PART
ap-2132	141	18	recognized	recognize	VERB
ap-2132	141	19	by	by	ADP
ap-2132	141	20	the	the	DET
ap-2132	141	21	new	new	ADJ
ap-2132	141	22	method	method	NOUN
ap-2132	141	23	.	.	PUNCT
ap-2132	142	1	it	it	PRON
ap-2132	142	2	could	could	AUX
ap-2132	142	3	easily	easily	ADV
ap-2132	142	4	be	be	AUX
ap-2132	142	5	fixed	fix	VERB
ap-2132	142	6	by	by	ADP
ap-2132	142	7	additional	additional	ADJ
ap-2132	142	8	red	red	ADJ
ap-2132	142	9	seeds	seed	NOUN
ap-2132	142	10	and	and	CCONJ
ap-2132	142	11	re	re	NOUN
ap-2132	142	12	-	-	NOUN
ap-2132	142	13	segmentation	segmentation	NOUN
ap-2132	142	14	.	.	PUNCT
ap-2132	143	1	in	in	ADP
ap-2132	143	2	the	the	DET
ap-2132	143	3	other	other	ADJ
ap-2132	143	4	space	space	NOUN
ap-2132	143	5	slices	slice	NOUN
ap-2132	143	6	(	(	PUNCT
ap-2132	143	7	columns	column	NOUN
ap-2132	143	8	2	2	NUM
ap-2132	143	9	and	and	CCONJ
ap-2132	143	10	3	3	NUM
ap-2132	143	11	)	)	PUNCT
ap-2132	143	12	,	,	PUNCT
ap-2132	143	13	the	the	DET
ap-2132	143	14	two	two	NUM
ap-2132	143	15	segmentations	segmentation	NOUN
ap-2132	143	16	agree	agree	VERB
ap-2132	143	17	well	well	ADV
ap-2132	143	18	.	.	PUNCT
ap-2132	144	1	acknowledgements	acknowledgement	NOUN
ap-2132	144	2	this	this	DET
ap-2132	144	3	work	work	NOUN
ap-2132	144	4	was	be	AUX
ap-2132	144	5	partially	partially	ADV
ap-2132	144	6	supported	support	VERB
ap-2132	144	7	by	by	ADP
ap-2132	144	8	research	research	NOUN
ap-2132	144	9	project	project	NOUN
ap-2132	144	10	rvo	rvo	VERB
ap-2132	144	11	68407700	68407700	NUM
ap-2132	144	12	(	(	PUNCT
ap-2132	144	13	ministry	ministry	NOUN
ap-2132	144	14	of	of	ADP
ap-2132	144	15	education	education	PROPN
ap-2132	144	16	,	,	PUNCT
ap-2132	144	17	czech	czech	PROPN
ap-2132	144	18	republic	republic	NOUN
ap-2132	144	19	)	)	PUNCT
ap-2132	144	20	,	,	PUNCT
ap-2132	144	21	by	by	ADP
ap-2132	144	22	projects	project	NOUN
ap-2132	144	23	of	of	ADP
ap-2132	144	24	the	the	DET
ap-2132	144	25	student	student	NOUN
ap-2132	144	26	grant	grant	NOUN
ap-2132	144	27	agency	agency	NOUN
ap-2132	144	28	of	of	ADP
ap-2132	144	29	the	the	DET
ap-2132	144	30	czech	czech	PROPN
ap-2132	144	31	technical	technical	PROPN
ap-2132	144	32	university	university	PROPN
ap-2132	144	33	in	in	ADP
ap-2132	144	34	prague	prague	PROPN
ap-2132	144	35	no	no	INTJ
ap-2132	144	36	.	.	PUNCT
ap-2132	145	1	sgs11/161	sgs11/161	VERB
ap-2132	145	2	/	/	SYM
ap-2132	145	3	ohk4/3t/14	ohk4/3t/14	PROPN
ap-2132	145	4	and	and	CCONJ
ap-2132	145	5	no	no	INTJ
ap-2132	145	6	.	.	PUNCT
ap-2132	146	1	sgs14/206	sgs14/206	NOUN
ap-2132	146	2	/	/	SYM
ap-2132	146	3	ohk4/3t/14	ohk4/3t/14	PROPN
ap-2132	146	4	,	,	PUNCT
ap-2132	146	5	by	by	ADP
ap-2132	146	6	grant	grant	NOUN
ap-2132	146	7	project	project	NOUN
ap-2132	146	8	(	(	PUNCT
ap-2132	146	9	ministry	ministry	PROPN
ap-2132	146	10	of	of	ADP
ap-2132	146	11	health	health	PROPN
ap-2132	146	12	,	,	PUNCT
ap-2132	146	13	czech	czech	PROPN
ap-2132	146	14	republic	republic	NOUN
ap-2132	146	15	)	)	PUNCT
ap-2132	146	16	for	for	ADP
ap-2132	146	17	the	the	DET
ap-2132	146	18	development	development	NOUN
ap-2132	146	19	of	of	ADP
ap-2132	146	20	research	research	NOUN
ap-2132	146	21	organization	organization	NOUN
ap-2132	146	22	00023001	00023001	NUM
ap-2132	146	23	(	(	PUNCT
ap-2132	146	24	ikem	ikem	PROPN
ap-2132	146	25	,	,	PUNCT
ap-2132	146	26	prague	prague	NOUN
ap-2132	146	27	,	,	PUNCT
ap-2132	146	28	czech	czech	PROPN
ap-2132	146	29	republic	republic	NOUN
ap-2132	146	30	)	)	PUNCT
ap-2132	146	31	institutional	institutional	ADJ
ap-2132	146	32	support	support	NOUN
ap-2132	146	33	.	.	PUNCT
ap-2132	147	1	references	reference	NOUN
ap-2132	147	2	[	[	X
ap-2132	147	3	1	1	NUM
ap-2132	147	4	]	]	PUNCT
ap-2132	147	5	k.	k.	PROPN
ap-2132	147	6	bilchick	bilchick	PROPN
ap-2132	147	7	,	,	PUNCT
ap-2132	147	8	v.	v.	ADP
ap-2132	147	9	dimaano	dimaano	PROPN
ap-2132	147	10	,	,	PUNCT
ap-2132	147	11	k.	k.	PROPN
ap-2132	147	12	wu	wu	PROPN
ap-2132	147	13	,	,	PUNCT
ap-2132	147	14	et	et	PROPN
ap-2132	147	15	al	al	PROPN
ap-2132	147	16	.	.	PUNCT
ap-2132	147	17	cardiac	cardiac	ADJ
ap-2132	147	18	magnetic	magnetic	ADJ
ap-2132	147	19	resonance	resonance	NOUN
ap-2132	147	20	assessment	assessment	NOUN
ap-2132	147	21	of	of	ADP
ap-2132	147	22	dyssynchrony	dyssynchrony	NOUN
ap-2132	147	23	and	and	CCONJ
ap-2132	147	24	myocardial	myocardial	ADJ
ap-2132	147	25	scar	scar	NOUN
ap-2132	147	26	predicts	predict	NOUN
ap-2132	147	27	function	function	VERB
ap-2132	147	28	class	class	NOUN
ap-2132	147	29	improvement	improvement	NOUN
ap-2132	147	30	following	follow	VERB
ap-2132	147	31	cardiac	cardiac	ADJ
ap-2132	147	32	resynchronization	resynchronization	NOUN
ap-2132	147	33	therapy	therapy	NOUN
ap-2132	147	34	.	.	PUNCT
ap-2132	148	1	journal	journal	PROPN
ap-2132	148	2	of	of	ADP
ap-2132	148	3	the	the	DET
ap-2132	148	4	american	american	PROPN
ap-2132	148	5	college	college	PROPN
ap-2132	148	6	of	of	ADP
ap-2132	148	7	cardiology	cardiology	NOUN
ap-2132	148	8	:	:	PUNCT
ap-2132	148	9	cardiovascular	cardiovascular	ADJ
ap-2132	148	10	imaging	imaging	NOUN
ap-2132	148	11	1(5	1(5	PROPN
ap-2132	148	12	)	)	PUNCT
ap-2132	148	13	,	,	PUNCT
ap-2132	148	14	2008	2008	NUM
ap-2132	148	15	.	.	PUNCT
ap-2132	149	1	doi:10.1016	doi:10.1016	PROPN
ap-2132	149	2	/	/	SYM
ap-2132	149	3	j.jcmg.2008.04.013	j.jcmg.2008.04.013	PROPN
ap-2132	149	4	.	.	PUNCT
ap-2132	150	1	[	[	X
ap-2132	150	2	2	2	X
ap-2132	150	3	]	]	X
ap-2132	150	4	j.	j.	PROPN
ap-2132	150	5	white	white	PROPN
ap-2132	150	6	,	,	PUNCT
ap-2132	150	7	r.	r.	PROPN
ap-2132	150	8	yee	yee	PROPN
ap-2132	150	9	,	,	PUNCT
ap-2132	150	10	x.	x.	PROPN
ap-2132	150	11	yuan	yuan	PROPN
ap-2132	150	12	,	,	PUNCT
ap-2132	150	13	et	et	PROPN
ap-2132	150	14	al	al	PROPN
ap-2132	150	15	.	.	PROPN
ap-2132	150	16	delayed	delay	VERB
ap-2132	150	17	enhancement	enhancement	NOUN
ap-2132	150	18	magnetic	magnetic	ADJ
ap-2132	150	19	resonance	resonance	NOUN
ap-2132	150	20	imaging	imaging	NOUN
ap-2132	150	21	predicts	predict	VERB
ap-2132	150	22	response	response	NOUN
ap-2132	150	23	to	to	ADP
ap-2132	150	24	cardiac	cardiac	ADJ
ap-2132	150	25	resynchronization	resynchronization	NOUN
ap-2132	150	26	therapy	therapy	NOUN
ap-2132	150	27	in	in	ADP
ap-2132	150	28	patients	patient	NOUN
ap-2132	150	29	with	with	ADP
ap-2132	150	30	intraventricular	intraventricular	ADJ
ap-2132	150	31	dyssynchrony	dyssynchrony	NOUN
ap-2132	150	32	.	.	PUNCT
ap-2132	151	1	journal	journal	NOUN
ap-2132	151	2	of	of	ADP
ap-2132	151	3	the	the	DET
ap-2132	151	4	american	american	PROPN
ap-2132	151	5	college	college	PROPN
ap-2132	151	6	of	of	ADP
ap-2132	151	7	cardiology	cardiology	NOUN
ap-2132	151	8	48(10	48(10	NUM
ap-2132	151	9	)	)	PUNCT
ap-2132	151	10	,	,	PUNCT
ap-2132	151	11	2006	2006	NUM
ap-2132	151	12	.	.	PUNCT
ap-2132	152	1	doi:10.1016	doi:10.1016	PROPN
ap-2132	152	2	/	/	SYM
ap-2132	152	3	j.jacc.2006.07.046	j.jacc.2006.07.046	PROPN
ap-2132	152	4	.	.	PUNCT
ap-2132	153	1	[	[	X
ap-2132	153	2	3	3	X
ap-2132	153	3	]	]	PUNCT
ap-2132	153	4	z.	z.	PROPN
ap-2132	153	5	qian	qian	PROPN
ap-2132	153	6	,	,	PUNCT
ap-2132	153	7	d.	d.	PROPN
ap-2132	153	8	n.	n.	PROPN
ap-2132	153	9	metaxas	metaxas	PROPN
ap-2132	153	10	,	,	PUNCT
ap-2132	153	11	l.	l.	PROPN
ap-2132	153	12	axel	axel	PROPN
ap-2132	153	13	.	.	PUNCT
ap-2132	154	1	a	a	DET
ap-2132	154	2	learning	learn	VERB
ap-2132	154	3	framework	framework	NOUN
ap-2132	154	4	for	for	ADP
ap-2132	154	5	the	the	DET
ap-2132	154	6	automatic	automatic	ADJ
ap-2132	154	7	and	and	CCONJ
ap-2132	154	8	accurate	accurate	ADJ
ap-2132	154	9	segmentation	segmentation	NOUN
ap-2132	154	10	of	of	ADP
ap-2132	154	11	cardiac	cardiac	ADJ
ap-2132	154	12	tagged	tag	VERB
ap-2132	154	13	mri	mri	NOUN
ap-2132	154	14	images	image	NOUN
ap-2132	154	15	.	.	PUNCT
ap-2132	155	1	in	in	ADP
ap-2132	155	2	proc	proc	PROPN
ap-2132	155	3	.	.	PUNCT
ap-2132	156	1	cviba	cviba	ADJ
ap-2132	156	2	workshop	workshop	NOUN
ap-2132	156	3	,	,	PUNCT
ap-2132	156	4	in	in	ADP
ap-2132	156	5	conjunction	conjunction	NOUN
ap-2132	156	6	with	with	ADP
ap-2132	156	7	iccv	iccv	PROPN
ap-2132	156	8	,	,	PUNCT
ap-2132	156	9	lncs	lncs	VERB
ap-2132	156	10	3765	3765	NUM
ap-2132	156	11	,	,	PUNCT
ap-2132	156	12	pp	pp	ADJ
ap-2132	156	13	.	.	PUNCT
ap-2132	157	1	93–102	93–102	NUM
ap-2132	157	2	.	.	PUNCT
ap-2132	157	3	2005	2005	NUM
ap-2132	157	4	.	.	PUNCT
ap-2132	158	1	doi:10.1007/11569541_11	doi:10.1007/11569541_11	VERB
ap-2132	158	2	.	.	PUNCT
ap-2132	159	1	[	[	X
ap-2132	159	2	4	4	NUM
ap-2132	159	3	]	]	PUNCT
ap-2132	159	4	a.	a.	NOUN
ap-2132	159	5	montillo	montillo	PROPN
ap-2132	159	6	,	,	PUNCT
ap-2132	159	7	d.	d.	PROPN
ap-2132	159	8	metaxas	metaxas	PROPN
ap-2132	159	9	,	,	PUNCT
ap-2132	159	10	l.	l.	PROPN
ap-2132	159	11	axel	axel	PROPN
ap-2132	159	12	.	.	PROPN
ap-2132	159	13	automated	automate	VERB
ap-2132	159	14	segmentation	segmentation	NOUN
ap-2132	159	15	of	of	ADP
ap-2132	159	16	the	the	DET
ap-2132	159	17	left	left	ADJ
ap-2132	159	18	and	and	CCONJ
ap-2132	159	19	right	right	ADJ
ap-2132	159	20	ventricles	ventricle	NOUN
ap-2132	159	21	in	in	ADP
ap-2132	159	22	4d	4d	NUM
ap-2132	159	23	cardiac	cardiac	ADJ
ap-2132	159	24	spamm	spamm	PROPN
ap-2132	159	25	images	image	NOUN
ap-2132	159	26	.	.	PUNCT
ap-2132	160	1	in	in	ADP
ap-2132	160	2	medical	medical	ADJ
ap-2132	160	3	imaging	imaging	NOUN
ap-2132	160	4	computing	computing	NOUN
ap-2132	160	5	and	and	CCONJ
ap-2132	160	6	computer	computer	NOUN
ap-2132	160	7	-	-	PUNCT
ap-2132	160	8	assisted	assist	VERB
ap-2132	160	9	intervention	intervention	NOUN
ap-2132	160	10	,	,	PUNCT
ap-2132	160	11	pp	pp	ADJ
ap-2132	160	12	.	.	PUNCT
ap-2132	161	1	620–633	620–633	NUM
ap-2132	161	2	.	.	NOUN
ap-2132	161	3	2002	2002	NUM
ap-2132	161	4	.	.	PUNCT
ap-2132	162	1	doi:10.1007/3	doi:10.1007/3	PROPN
ap-2132	162	2	-	-	PUNCT
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ap-2132	162	4	-	-	PUNCT
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ap-2132	163	2	5	5	X
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ap-2132	164	17	,	,	PUNCT
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ap-2132	165	2	.	.	PUNCT
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ap-2132	166	2	.	.	PUNCT
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ap-2132	169	4	shape	shape	NOUN
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ap-2132	169	10	.	.	PUNCT
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ap-2132	171	2	7	7	X
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ap-2132	172	12	.	.	PUNCT
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ap-2132	174	4	.	.	PUNCT
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ap-2132	175	3	]	]	PUNCT
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ap-2132	175	9	.	.	PUNCT
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ap-2132	176	20	.	.	PUNCT
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ap-2132	177	13	,	,	PUNCT
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ap-2132	178	2	.	.	NOUN
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ap-2132	179	2	.	.	PUNCT
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ap-2132	181	10	-	-	PUNCT
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ap-2132	181	16	in	in	ADP
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ap-2132	181	18	.	.	PUNCT
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ap-2132	182	2	analysis	analysis	NOUN
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ap-2132	182	5	intelligence	intelligence	NOUN
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ap-2132	182	7	,	,	PUNCT
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ap-2132	182	9	.	.	PUNCT
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ap-2132	183	2	/	/	SYM
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ap-2132	183	4	.	.	PUNCT
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ap-2132	184	2	10	10	NUM
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ap-2132	184	6	,	,	PUNCT
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ap-2132	184	9	-	-	PUNCT
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ap-2132	184	21	.	.	PUNCT
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ap-2132	185	2	journal	journal	PROPN
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ap-2132	185	9	.	.	PUNCT
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ap-2132	186	4	-	-	PUNCT
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ap-2132	186	6	-	-	PUNCT
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ap-2132	186	8	-	-	SYM
ap-2132	186	9	5	5	NUM
ap-2132	186	10	.	.	PUNCT
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ap-2132	187	9	.	.	PUNCT
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ap-2132	189	13	,	,	PUNCT
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ap-2132	189	17	-	-	PUNCT
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ap-2132	189	24	.	.	PUNCT
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ap-2132	191	2	signal	signal	NOUN
ap-2132	191	3	processing	processing	NOUN
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ap-2132	191	6	,	,	PUNCT
ap-2132	191	7	2002	2002	NUM
ap-2132	191	8	.	.	PUNCT
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ap-2132	202	4	international	international	ADJ
ap-2132	202	5	conference	conference	NOUN
ap-2132	202	6	on	on	ADP
ap-2132	202	7	computer	computer	NOUN
ap-2132	202	8	vision	vision	NOUN
ap-2132	202	9	,	,	PUNCT
ap-2132	202	10	2001	2001	NUM
ap-2132	202	11	.	.	PUNCT
ap-2132	203	1	iccv	iccv	PROPN
ap-2132	203	2	2001	2001	NUM
ap-2132	203	3	.	.	PUNCT
ap-2132	204	1	proceedings	proceeding	NOUN
ap-2132	204	2	.	.	PUNCT
ap-2132	205	1	,	,	PUNCT
ap-2132	205	2	vol	vol	NOUN
ap-2132	205	3	.	.	PROPN
ap-2132	205	4	1	1	NUM
ap-2132	205	5	,	,	PUNCT
ap-2132	205	6	pp	pp	ADJ
ap-2132	205	7	.	.	PUNCT
ap-2132	206	1	105–112	105–112	NUM
ap-2132	206	2	.	.	PUNCT
ap-2132	207	1	2001	2001	NUM
ap-2132	207	2	.	.	PUNCT
ap-2132	208	1	doi:10.1109	doi:10.1109	VERB
ap-2132	208	2	/	/	SYM
ap-2132	208	3	iccv.2001.937505	iccv.2001.937505	PROPN
ap-2132	208	4	.	.	PUNCT
ap-2132	209	1	[	[	X
ap-2132	209	2	15	15	NUM
ap-2132	209	3	]	]	X
ap-2132	209	4	l.	l.	PROPN
ap-2132	209	5	r.	r.	PROPN
ap-2132	209	6	ford	ford	PROPN
ap-2132	209	7	,	,	PUNCT
ap-2132	209	8	d.	d.	PROPN
ap-2132	209	9	r.	r.	PROPN
ap-2132	209	10	fulkerson	fulkerson	PROPN
ap-2132	209	11	.	.	PUNCT
ap-2132	210	1	maximal	maximal	ADJ
ap-2132	210	2	flow	flow	NOUN
ap-2132	210	3	through	through	ADP
ap-2132	210	4	a	a	DET
ap-2132	210	5	network	network	NOUN
ap-2132	210	6	.	.	PUNCT
ap-2132	211	1	canadian	canadian	ADJ
ap-2132	211	2	journal	journal	PROPN
ap-2132	211	3	of	of	ADP
ap-2132	211	4	mathematics	mathematics	PROPN
ap-2132	211	5	8:399–404	8:399–404	PROPN
ap-2132	211	6	,	,	PUNCT
ap-2132	211	7	1956	1956	NUM
ap-2132	211	8	.	.	PUNCT
ap-2132	212	1	[	[	X
ap-2132	212	2	16	16	NUM
ap-2132	212	3	]	]	X
ap-2132	212	4	r.	r.	PROPN
ap-2132	212	5	sedgewick	sedgewick	PROPN
ap-2132	212	6	.	.	PUNCT
ap-2132	213	1	algorithms	algorithm	NOUN
ap-2132	213	2	in	in	ADP
ap-2132	213	3	c++	c++	NOUN
ap-2132	213	4	,	,	PUNCT
ap-2132	213	5	part	part	NOUN
ap-2132	213	6	5	5	NUM
ap-2132	213	7	–	–	PUNCT
ap-2132	213	8	graph	graph	NOUN
ap-2132	213	9	algorithms	algorithm	NOUN
ap-2132	213	10	.	.	PUNCT
ap-2132	214	1	addison	addison	PROPN
ap-2132	214	2	-	-	PUNCT
ap-2132	214	3	wesley	wesley	PROPN
ap-2132	214	4	,	,	PUNCT
ap-2132	214	5	2002	2002	NUM
ap-2132	214	6	.	.	PUNCT
ap-2132	215	1	[	[	X
ap-2132	215	2	17	17	NUM
ap-2132	215	3	]	]	PUNCT
ap-2132	215	4	a.	a.	NOUN
ap-2132	215	5	v.	v.	PROPN
ap-2132	215	6	goldberg	goldberg	PROPN
ap-2132	215	7	,	,	PUNCT
ap-2132	215	8	r.	r.	PROPN
ap-2132	215	9	e.	e.	PROPN
ap-2132	215	10	tarjan	tarjan	PROPN
ap-2132	215	11	.	.	PUNCT
ap-2132	216	1	a	a	DET
ap-2132	216	2	new	new	ADJ
ap-2132	216	3	approach	approach	NOUN
ap-2132	216	4	to	to	ADP
ap-2132	216	5	the	the	DET
ap-2132	216	6	maximum	maximum	ADJ
ap-2132	216	7	-	-	PUNCT
ap-2132	216	8	flow	flow	NOUN
ap-2132	216	9	problem	problem	NOUN
ap-2132	216	10	.	.	PUNCT
ap-2132	217	1	j	j	PROPN
ap-2132	217	2	acm	acm	PROPN
ap-2132	217	3	35(4):921–940	35(4):921–940	NUM
ap-2132	217	4	,	,	PUNCT
ap-2132	217	5	1988	1988	NUM
ap-2132	217	6	.	.	PUNCT
ap-2132	218	1	doi:10.1145/48014.61051	doi:10.1145/48014.61051	VERB
ap-2132	218	2	.	.	PUNCT
ap-2132	219	1	[	[	X
ap-2132	219	2	18	18	NUM
ap-2132	219	3	]	]	X
ap-2132	219	4	v.	v.	PROPN
ap-2132	219	5	vineet	vineet	PROPN
ap-2132	219	6	,	,	PUNCT
ap-2132	219	7	p.	p.	PROPN
ap-2132	219	8	j.	j.	PROPN
ap-2132	219	9	narayanan	narayanan	PROPN
ap-2132	219	10	.	.	PUNCT
ap-2132	220	1	cuda	cuda	PROPN
ap-2132	220	2	cuts	cut	NOUN
ap-2132	220	3	:	:	PUNCT
ap-2132	220	4	fast	fast	ADJ
ap-2132	220	5	graph	graph	NOUN
ap-2132	220	6	cuts	cut	NOUN
ap-2132	220	7	on	on	ADP
ap-2132	220	8	the	the	DET
ap-2132	220	9	gpu	gpu	PROPN
ap-2132	220	10	.	.	PROPN
ap-2132	220	11	in	in	ADP
ap-2132	220	12	computer	computer	NOUN
ap-2132	220	13	vision	vision	NOUN
ap-2132	220	14	and	and	CCONJ
ap-2132	220	15	pattern	pattern	NOUN
ap-2132	220	16	recognition	recognition	NOUN
ap-2132	220	17	workshops	workshop	NOUN
ap-2132	220	18	,	,	PUNCT
ap-2132	220	19	2008	2008	NUM
ap-2132	220	20	.	.	PUNCT
ap-2132	221	1	cvprw	cvprw	ADJ
ap-2132	221	2	’	'	PUNCT
ap-2132	221	3	08	08	NUM
ap-2132	221	4	.	.	PUNCT
ap-2132	222	1	ieee	ieee	PROPN
ap-2132	222	2	computer	computer	PROPN
ap-2132	222	3	society	society	PROPN
ap-2132	222	4	conference	conference	NOUN
ap-2132	222	5	on	on	ADP
ap-2132	222	6	,	,	PUNCT
ap-2132	222	7	pp	pp	ADJ
ap-2132	222	8	.	.	PUNCT
ap-2132	223	1	1–8	1–8	X
ap-2132	223	2	.	.	NOUN
ap-2132	223	3	2008	2008	NUM
ap-2132	223	4	.	.	PUNCT
ap-2132	224	1	doi:10.1109	doi:10.1109	VERB
ap-2132	224	2	/	/	SYM
ap-2132	224	3	cvprw.2008.4563095	cvprw.2008.4563095	NOUN
ap-2132	224	4	.	.	NOUN
ap-2132	225	1	220	220	NUM
ap-2132	225	2	http://dx.doi.org/10.1109/iccv.2001.937505	http://dx.doi.org/10.1109/iccv.2001.937505	NOUN
ap-2132	225	3	http://dx.doi.org/10.1145/48014.61051	http://dx.doi.org/10.1145/48014.61051	PROPN
ap-2132	225	4	http://dx.doi.org/10.1109/cvprw.2008.4563095	http://dx.doi.org/10.1109/cvprw.2008.4563095	PROPN
ap-2132	225	5	acta	acta	PROPN
ap-2132	225	6	polytechnica	polytechnica	PROPN
ap-2132	225	7	54(3):214–220	54(3):214–220	PROPN
ap-2132	225	8	,	,	PUNCT
ap-2132	225	9	2014	2014	NUM
ap-2132	225	10	1	1	NUM
ap-2132	225	11	introduction	introduction	NOUN
ap-2132	225	12	2	2	NUM
ap-2132	225	13	contribution	contribution	NOUN
ap-2132	225	14	of	of	ADP
ap-2132	225	15	the	the	DET
ap-2132	225	16	method	method	NOUN
ap-2132	225	17	3	3	NUM
ap-2132	225	18	detection	detection	NOUN
ap-2132	225	19	of	of	ADP
ap-2132	225	20	the	the	DET
ap-2132	225	21	ventricles	ventricle	NOUN
ap-2132	225	22	from	from	ADP
ap-2132	225	23	the	the	DET
ap-2132	225	24	tagged	tag	VERB
ap-2132	225	25	mri	mri	NOUN
ap-2132	225	26	data	datum	NOUN
ap-2132	225	27	4	4	NUM
ap-2132	225	28	segmentation	segmentation	NOUN
ap-2132	225	29	with	with	ADP
ap-2132	225	30	the	the	DET
ap-2132	225	31	graph	graph	NOUN
ap-2132	225	32	-	-	PUNCT
ap-2132	225	33	cuts	cut	NOUN
ap-2132	225	34	5	5	NUM
ap-2132	225	35	results	result	VERB
ap-2132	225	36	acknowledgements	acknowledgement	NOUN
ap-2132	225	37	references	reference	NOUN