id	sid	tid	token	lemma	pos
bracis-28387	1	1	does	do	AUX
bracis-28387	1	2	pre	pre	VERB
bracis-28387	1	3	-	-	VERB
bracis-28387	1	4	training	training	NOUN
bracis-28387	1	5	on	on	ADP
bracis-28387	1	6	 	 	SPACE
bracis-28387	1	7	brain	brain	NOUN
bracis-28387	1	8	-	-	PUNCT
bracis-28387	1	9	related	relate	VERB
bracis-28387	1	10	tasks	task	NOUN
bracis-28387	1	11	results	result	VERB
bracis-28387	1	12	in	in	ADP
bracis-28387	1	13	 	 	SPACE
bracis-28387	1	14	better	well	ADJ
bracis-28387	1	15	deep	deep	ADJ
bracis-28387	1	16	-	-	PUNCT
bracis-28387	1	17	learning	learning	NOUN
bracis-28387	1	18	-	-	PUNCT
bracis-28387	1	19	based	base	VERB
bracis-28387	1	20	brain	brain	NOUN
bracis-28387	1	21	age	age	NOUN
bracis-28387	1	22	biomarkers	biomarker	NOUN
bracis-28387	1	23	?	?	PUNCT
bracis-28387	2	1	|	|	ADV
bracis-28387	2	2	springer	springer	NOUN
bracis-28387	2	3	nature	nature	PROPN
bracis-28387	2	4	link	link	PROPN
bracis-28387	2	5	(	(	PUNCT
bracis-28387	2	6	formerly	formerly	ADV
bracis-28387	2	7	springerlink	springerlink	NOUN
bracis-28387	2	8	)	)	PUNCT
bracis-28387	2	9	skip	skip	VERB
bracis-28387	2	10	to	to	ADP
bracis-28387	2	11	main	main	ADJ
bracis-28387	2	12	content	content	NOUN
bracis-28387	2	13	advertisement	advertisement	NOUN
bracis-28387	2	14	log	log	NOUN
bracis-28387	2	15	in	in	ADP
bracis-28387	2	16	menu	menu	NOUN
bracis-28387	2	17	find	find	VERB
bracis-28387	2	18	a	a	DET
bracis-28387	2	19	journal	journal	NOUN
bracis-28387	2	20	publish	publish	VERB
bracis-28387	2	21	with	with	ADP
bracis-28387	2	22	us	we	PRON
bracis-28387	2	23	track	track	VERB
bracis-28387	2	24	your	your	PRON
bracis-28387	2	25	research	research	NOUN
bracis-28387	2	26	search	search	NOUN
bracis-28387	2	27	cart	cart	NOUN
bracis-28387	2	28	home	home	NOUN
bracis-28387	2	29	intelligent	intelligent	ADJ
bracis-28387	2	30	systems	system	NOUN
bracis-28387	2	31	conference	conference	NOUN
bracis-28387	2	32	paper	paper	NOUN
bracis-28387	2	33	does	do	AUX
bracis-28387	2	34	pre	pre	VERB
bracis-28387	2	35	-	-	VERB
bracis-28387	2	36	training	training	NOUN
bracis-28387	2	37	on	on	ADP
bracis-28387	2	38	 	 	SPACE
bracis-28387	2	39	brain	brain	NOUN
bracis-28387	2	40	-	-	PUNCT
bracis-28387	2	41	related	relate	VERB
bracis-28387	2	42	tasks	task	NOUN
bracis-28387	2	43	results	result	VERB
bracis-28387	2	44	in	in	ADP
bracis-28387	2	45	 	 	SPACE
bracis-28387	2	46	better	well	ADJ
bracis-28387	2	47	deep	deep	ADJ
bracis-28387	2	48	-	-	PUNCT
bracis-28387	2	49	learning	learning	NOUN
bracis-28387	2	50	-	-	PUNCT
bracis-28387	2	51	based	base	VERB
bracis-28387	2	52	brain	brain	NOUN
bracis-28387	2	53	age	age	NOUN
bracis-28387	2	54	biomarkers	biomarker	NOUN
bracis-28387	2	55	?	?	PUNCT
bracis-28387	3	1	conference	conference	NOUN
bracis-28387	3	2	paper	paper	NOUN
bracis-28387	3	3	first	first	ADV
bracis-28387	3	4	online	online	ADV
bracis-28387	3	5	:	:	PUNCT
bracis-28387	3	6	12	12	NUM
bracis-28387	3	7	october	october	NOUN
bracis-28387	3	8	2023	2023	NUM
bracis-28387	4	1	pp	pp	PROPN
bracis-28387	4	2	181–194	181–194	NUM
bracis-28387	4	3	cite	cite	VERB
bracis-28387	4	4	this	this	DET
bracis-28387	4	5	conference	conference	NOUN
bracis-28387	4	6	paper	paper	NOUN
bracis-28387	4	7	access	access	NOUN
bracis-28387	4	8	provided	provide	VERB
bracis-28387	4	9	by	by	ADP
bracis-28387	4	10	university	university	PROPN
bracis-28387	4	11	of	of	ADP
bracis-28387	4	12	notre	notre	PROPN
bracis-28387	4	13	dame	dame	PROPN
bracis-28387	4	14	hesburgh	hesburgh	PROPN
bracis-28387	4	15	library	library	PROPN
bracis-28387	4	16	download	download	PROPN
bracis-28387	4	17	book	book	NOUN
bracis-28387	4	18	pdf	pdf	PROPN
bracis-28387	4	19	download	download	NOUN
bracis-28387	4	20	book	book	NOUN
bracis-28387	4	21	epub	epub	PROPN
bracis-28387	4	22	intelligent	intelligent	ADJ
bracis-28387	4	23	systems	system	NOUN
bracis-28387	4	24	(	(	PUNCT
bracis-28387	4	25	bracis	bracis	NOUN
bracis-28387	4	26	2023	2023	NUM
bracis-28387	4	27	)	)	PUNCT
bracis-28387	4	28	does	do	AUX
bracis-28387	4	29	pre	pre	VERB
bracis-28387	4	30	-	-	VERB
bracis-28387	4	31	training	training	NOUN
bracis-28387	4	32	on	on	ADP
bracis-28387	4	33	 	 	SPACE
bracis-28387	4	34	brain	brain	NOUN
bracis-28387	4	35	-	-	PUNCT
bracis-28387	4	36	related	relate	VERB
bracis-28387	4	37	tasks	task	NOUN
bracis-28387	4	38	results	result	VERB
bracis-28387	4	39	in	in	ADP
bracis-28387	4	40	 	 	SPACE
bracis-28387	4	41	better	well	ADJ
bracis-28387	4	42	deep	deep	ADJ
bracis-28387	4	43	-	-	PUNCT
bracis-28387	4	44	learning	learning	NOUN
bracis-28387	4	45	-	-	PUNCT
bracis-28387	4	46	based	base	VERB
bracis-28387	4	47	brain	brain	NOUN
bracis-28387	4	48	age	age	NOUN
bracis-28387	4	49	biomarkers	biomarker	NOUN
bracis-28387	4	50	?	?	PUNCT
bracis-28387	5	1	download	download	NOUN
bracis-28387	5	2	book	book	NOUN
bracis-28387	5	3	pdf	pdf	PROPN
bracis-28387	5	4	download	download	NOUN
bracis-28387	5	5	book	book	PROPN
bracis-28387	5	6	epub	epub	PROPN
bracis-28387	5	7	bruno	bruno	PROPN
bracis-28387	5	8	m.	m.	PROPN
bracis-28387	5	9	pacheco9	pacheco9	PROPN
bracis-28387	5	10	,	,	PUNCT
bracis-28387	5	11	victor	victor	PROPN
bracis-28387	5	12	h.	h.	PROPN
bracis-28387	5	13	r.	r.	PROPN
bracis-28387	5	14	de	de	PROPN
bracis-28387	5	15	oliveira9	oliveira9	PROPN
bracis-28387	5	16	,	,	PUNCT
bracis-28387	5	17	augusto	augusto	PROPN
bracis-28387	5	18	b.	b.	PROPN
bracis-28387	5	19	f.	f.	PROPN
bracis-28387	5	20	antunes10	antunes10	PROPN
bracis-28387	5	21	,	,	PUNCT
bracis-28387	5	22	saulo	saulo	PROPN
bracis-28387	5	23	d.	d.	PROPN
bracis-28387	5	24	s.	s.	PROPN
bracis-28387	5	25	pedro11	pedro11	PROPN
bracis-28387	5	26	&	&	CCONJ
bracis-28387	5	27	danilo	danilo	PROPN
bracis-28387	5	28	silva9	silva9	PROPN
bracis-28387	5	29	for	for	ADP
bracis-28387	5	30	the	the	DET
bracis-28387	5	31	alzheimer	alzheimer	PROPN
bracis-28387	5	32	’s	’s	PART
bracis-28387	5	33	disease	disease	NOUN
bracis-28387	5	34	neuroimaging	neuroimaging	NOUN
bracis-28387	5	35	initiative	initiative	NOUN
bracis-28387	5	36	show	show	VERB
bracis-28387	5	37	authors	author	NOUN
bracis-28387	5	38	part	part	NOUN
bracis-28387	5	39	of	of	ADP
bracis-28387	5	40	the	the	DET
bracis-28387	5	41	book	book	NOUN
bracis-28387	5	42	series	series	NOUN
bracis-28387	5	43	:	:	PUNCT
bracis-28387	5	44	lecture	lecture	NOUN
bracis-28387	5	45	notes	note	NOUN
bracis-28387	5	46	in	in	ADP
bracis-28387	5	47	computer	computer	NOUN
bracis-28387	5	48	science	science	NOUN
bracis-28387	5	49	(	(	PUNCT
bracis-28387	5	50	(	(	PUNCT
bracis-28387	5	51	lnai	lnai	ADJ
bracis-28387	5	52	,	,	PUNCT
bracis-28387	5	53	volume	volume	NOUN
bracis-28387	5	54	14196	14196	NUM
bracis-28387	5	55	)	)	PUNCT
bracis-28387	5	56	)	)	PUNCT
bracis-28387	5	57	included	include	VERB
bracis-28387	5	58	in	in	ADP
bracis-28387	5	59	the	the	DET
bracis-28387	5	60	following	follow	VERB
bracis-28387	5	61	conference	conference	NOUN
bracis-28387	5	62	series	series	NOUN
bracis-28387	5	63	:	:	PUNCT
bracis-28387	5	64	brazilian	brazilian	ADJ
bracis-28387	5	65	conference	conference	NOUN
bracis-28387	5	66	on	on	ADP
bracis-28387	5	67	intelligent	intelligent	ADJ
bracis-28387	5	68	systems	system	NOUN
bracis-28387	5	69	520	520	NUM
bracis-28387	5	70	accesses	access	VERB
bracis-28387	5	71	4	4	NUM
bracis-28387	5	72	citations	citation	NOUN
bracis-28387	5	73	abstract	abstract	ADJ
bracis-28387	5	74	brain	brain	NOUN
bracis-28387	5	75	age	age	NOUN
bracis-28387	5	76	prediction	prediction	NOUN
bracis-28387	5	77	using	use	VERB
bracis-28387	5	78	neuroimaging	neuroimage	VERB
bracis-28387	5	79	data	datum	NOUN
bracis-28387	5	80	has	have	AUX
bracis-28387	5	81	shown	show	VERB
bracis-28387	5	82	great	great	ADJ
bracis-28387	5	83	potential	potential	NOUN
bracis-28387	5	84	as	as	ADP
bracis-28387	5	85	an	an	DET
bracis-28387	5	86	indicator	indicator	NOUN
bracis-28387	5	87	of	of	ADP
bracis-28387	5	88	overall	overall	ADJ
bracis-28387	5	89	brain	brain	NOUN
bracis-28387	5	90	health	health	NOUN
bracis-28387	5	91	and	and	CCONJ
bracis-28387	5	92	successful	successful	ADJ
bracis-28387	5	93	aging	aging	NOUN
bracis-28387	5	94	,	,	PUNCT
bracis-28387	5	95	as	as	ADV
bracis-28387	5	96	well	well	ADV
bracis-28387	5	97	as	as	ADP
bracis-28387	5	98	a	a	DET
bracis-28387	5	99	disease	disease	NOUN
bracis-28387	5	100	biomarker	biomarker	NOUN
bracis-28387	5	101	.	.	PUNCT
bracis-28387	6	1	deep	deep	ADJ
bracis-28387	6	2	learning	learning	NOUN
bracis-28387	6	3	models	model	NOUN
bracis-28387	6	4	have	have	AUX
bracis-28387	6	5	been	be	AUX
bracis-28387	6	6	established	establish	VERB
bracis-28387	6	7	as	as	ADP
bracis-28387	6	8	reliable	reliable	ADJ
bracis-28387	6	9	and	and	CCONJ
bracis-28387	6	10	efficient	efficient	ADJ
bracis-28387	6	11	brain	brain	NOUN
bracis-28387	6	12	age	age	NOUN
bracis-28387	6	13	estimators	estimator	NOUN
bracis-28387	6	14	,	,	PUNCT
bracis-28387	6	15	being	be	AUX
bracis-28387	6	16	trained	train	VERB
bracis-28387	6	17	to	to	PART
bracis-28387	6	18	predict	predict	VERB
bracis-28387	6	19	the	the	DET
bracis-28387	6	20	chronological	chronological	ADJ
bracis-28387	6	21	age	age	NOUN
bracis-28387	6	22	of	of	ADP
bracis-28387	6	23	healthy	healthy	ADJ
bracis-28387	6	24	subjects	subject	NOUN
bracis-28387	6	25	.	.	PUNCT
bracis-28387	7	1	in	in	ADP
bracis-28387	7	2	this	this	DET
bracis-28387	7	3	paper	paper	NOUN
bracis-28387	7	4	,	,	PUNCT
bracis-28387	7	5	we	we	PRON
bracis-28387	7	6	investigate	investigate	VERB
bracis-28387	7	7	the	the	DET
bracis-28387	7	8	impact	impact	NOUN
bracis-28387	7	9	of	of	ADP
bracis-28387	7	10	a	a	DET
bracis-28387	7	11	pre	pre	ADJ
bracis-28387	7	12	-	-	ADJ
bracis-28387	7	13	training	training	ADJ
bracis-28387	7	14	step	step	NOUN
bracis-28387	7	15	on	on	ADP
bracis-28387	7	16	deep	deep	ADJ
bracis-28387	7	17	learning	learning	NOUN
bracis-28387	7	18	models	model	NOUN
bracis-28387	7	19	for	for	ADP
bracis-28387	7	20	brain	brain	NOUN
bracis-28387	7	21	age	age	NOUN
bracis-28387	7	22	prediction	prediction	NOUN
bracis-28387	7	23	.	.	PUNCT
bracis-28387	8	1	more	more	ADV
bracis-28387	8	2	precisely	precisely	ADV
bracis-28387	8	3	,	,	PUNCT
bracis-28387	8	4	instead	instead	ADV
bracis-28387	8	5	of	of	ADP
bracis-28387	8	6	the	the	DET
bracis-28387	8	7	common	common	ADJ
bracis-28387	8	8	approach	approach	NOUN
bracis-28387	8	9	of	of	ADP
bracis-28387	8	10	pre	pre	NOUN
bracis-28387	8	11	-	-	NOUN
bracis-28387	8	12	training	training	NOUN
bracis-28387	8	13	on	on	ADP
bracis-28387	8	14	natural	natural	ADJ
bracis-28387	8	15	imaging	imaging	NOUN
bracis-28387	8	16	classification	classification	NOUN
bracis-28387	8	17	,	,	PUNCT
bracis-28387	8	18	we	we	PRON
bracis-28387	8	19	propose	propose	VERB
bracis-28387	8	20	pre	pre	VERB
bracis-28387	8	21	-	-	NOUN
bracis-28387	8	22	training	train	VERB
bracis-28387	8	23	the	the	DET
bracis-28387	8	24	models	model	NOUN
bracis-28387	8	25	on	on	ADP
bracis-28387	8	26	brain	brain	NOUN
bracis-28387	8	27	-	-	PUNCT
bracis-28387	8	28	related	relate	VERB
bracis-28387	8	29	tasks	task	NOUN
bracis-28387	8	30	,	,	PUNCT
bracis-28387	8	31	which	which	PRON
bracis-28387	8	32	led	lead	VERB
bracis-28387	8	33	to	to	ADP
bracis-28387	8	34	state	state	NOUN
bracis-28387	8	35	-	-	PUNCT
bracis-28387	8	36	of	of	ADP
bracis-28387	8	37	-	-	PUNCT
bracis-28387	8	38	the	the	DET
bracis-28387	8	39	-	-	PUNCT
bracis-28387	8	40	art	art	NOUN
bracis-28387	8	41	results	result	NOUN
bracis-28387	8	42	in	in	ADP
bracis-28387	8	43	our	our	PRON
bracis-28387	8	44	experiments	experiment	NOUN
bracis-28387	8	45	on	on	ADP
bracis-28387	8	46	adni	adni	DET
bracis-28387	8	47	data	datum	NOUN
bracis-28387	8	48	.	.	PUNCT
bracis-28387	9	1	furthermore	furthermore	ADV
bracis-28387	9	2	,	,	PUNCT
bracis-28387	9	3	we	we	PRON
bracis-28387	9	4	validate	validate	VERB
bracis-28387	9	5	the	the	DET
bracis-28387	9	6	resulting	result	VERB
bracis-28387	9	7	brain	brain	NOUN
bracis-28387	9	8	age	age	NOUN
bracis-28387	9	9	biomarker	biomarker	NOUN
bracis-28387	9	10	on	on	ADP
bracis-28387	9	11	images	image	NOUN
bracis-28387	9	12	of	of	ADP
bracis-28387	9	13	patients	patient	NOUN
bracis-28387	9	14	with	with	ADP
bracis-28387	9	15	mild	mild	ADJ
bracis-28387	9	16	cognitive	cognitive	ADJ
bracis-28387	9	17	impairment	impairment	NOUN
bracis-28387	9	18	and	and	CCONJ
bracis-28387	9	19	alzheimer	alzheimer	NOUN
bracis-28387	9	20	’s	’s	PART
bracis-28387	9	21	disease	disease	NOUN
bracis-28387	9	22	.	.	PUNCT
bracis-28387	10	1	interestingly	interestingly	ADV
bracis-28387	10	2	,	,	PUNCT
bracis-28387	10	3	our	our	PRON
bracis-28387	10	4	results	result	NOUN
bracis-28387	10	5	indicate	indicate	VERB
bracis-28387	10	6	that	that	SCONJ
bracis-28387	10	7	better	well	ADV
bracis-28387	10	8	-	-	PUNCT
bracis-28387	10	9	performing	perform	VERB
bracis-28387	10	10	deep	deep	ADJ
bracis-28387	10	11	learning	learning	NOUN
bracis-28387	10	12	models	model	NOUN
bracis-28387	10	13	in	in	ADP
bracis-28387	10	14	terms	term	NOUN
bracis-28387	10	15	of	of	ADP
bracis-28387	10	16	brain	brain	NOUN
bracis-28387	10	17	age	age	NOUN
bracis-28387	10	18	prediction	prediction	NOUN
bracis-28387	10	19	on	on	ADP
bracis-28387	10	20	healthy	healthy	ADJ
bracis-28387	10	21	patients	patient	NOUN
bracis-28387	10	22	do	do	AUX
bracis-28387	10	23	not	not	PART
bracis-28387	10	24	result	result	VERB
bracis-28387	10	25	in	in	ADP
bracis-28387	10	26	more	more	ADV
bracis-28387	10	27	reliable	reliable	ADJ
bracis-28387	10	28	biomarkers	biomarker	NOUN
bracis-28387	10	29	.	.	PUNCT
bracis-28387	11	1	data	datum	NOUN
bracis-28387	11	2	used	use	VERB
bracis-28387	11	3	in	in	ADP
bracis-28387	11	4	preparation	preparation	NOUN
bracis-28387	11	5	of	of	ADP
bracis-28387	11	6	this	this	DET
bracis-28387	11	7	article	article	NOUN
bracis-28387	11	8	were	be	AUX
bracis-28387	11	9	obtained	obtain	VERB
bracis-28387	11	10	from	from	ADP
bracis-28387	11	11	the	the	DET
bracis-28387	11	12	alzheimer	alzheimer	PROPN
bracis-28387	11	13	’s	’s	PART
bracis-28387	11	14	disease	disease	NOUN
bracis-28387	11	15	neuroimaging	neuroimaging	NOUN
bracis-28387	11	16	initiative	initiative	NOUN
bracis-28387	11	17	(	(	PUNCT
bracis-28387	11	18	adni	adni	ADJ
bracis-28387	11	19	)	)	PUNCT
bracis-28387	11	20	database	database	NOUN
bracis-28387	11	21	(	(	PUNCT
bracis-28387	11	22	adni.loni.usc.edu	adni.loni.usc.edu	NOUN
bracis-28387	11	23	)	)	PUNCT
bracis-28387	11	24	.	.	PUNCT
bracis-28387	12	1	as	as	ADP
bracis-28387	12	2	such	such	ADJ
bracis-28387	12	3	,	,	PUNCT
bracis-28387	12	4	the	the	DET
bracis-28387	12	5	investigators	investigator	NOUN
bracis-28387	12	6	within	within	ADP
bracis-28387	12	7	the	the	DET
bracis-28387	12	8	adni	adni	PROPN
bracis-28387	12	9	contributed	contribute	VERB
bracis-28387	12	10	to	to	ADP
bracis-28387	12	11	the	the	DET
bracis-28387	12	12	design	design	NOUN
bracis-28387	12	13	and	and	CCONJ
bracis-28387	12	14	implementation	implementation	NOUN
bracis-28387	12	15	of	of	ADP
bracis-28387	12	16	adni	adni	PRON
bracis-28387	12	17	and/or	and/or	CCONJ
bracis-28387	12	18	provided	provide	VERB
bracis-28387	12	19	data	datum	NOUN
bracis-28387	12	20	but	but	CCONJ
bracis-28387	12	21	did	do	AUX
bracis-28387	12	22	not	not	PART
bracis-28387	12	23	participate	participate	VERB
bracis-28387	12	24	in	in	ADP
bracis-28387	12	25	analysis	analysis	NOUN
bracis-28387	12	26	or	or	CCONJ
bracis-28387	12	27	writing	writing	NOUN
bracis-28387	12	28	of	of	ADP
bracis-28387	12	29	this	this	DET
bracis-28387	12	30	report	report	NOUN
bracis-28387	12	31	.	.	PUNCT
bracis-28387	13	1	a	a	DET
bracis-28387	13	2	complete	complete	ADJ
bracis-28387	13	3	listing	listing	NOUN
bracis-28387	13	4	of	of	ADP
bracis-28387	13	5	adni	adni	DET
bracis-28387	13	6	investigators	investigator	NOUN
bracis-28387	13	7	can	can	AUX
bracis-28387	13	8	be	be	AUX
bracis-28387	13	9	found	find	VERB
bracis-28387	13	10	at	at	ADP
bracis-28387	13	11	:	:	PUNCT
bracis-28387	13	12	http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/adni_acknowledgement_list.pdf	http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/adni_acknowledgement_list.pdf	NOUN
bracis-28387	13	13	.	.	PUNCT
bracis-28387	14	1	access	access	NOUN
bracis-28387	14	2	provided	provide	VERB
bracis-28387	14	3	by	by	ADP
bracis-28387	14	4	university	university	PROPN
bracis-28387	14	5	of	of	ADP
bracis-28387	14	6	notre	notre	PROPN
bracis-28387	14	7	dame	dame	PROPN
bracis-28387	14	8	hesburgh	hesburgh	PROPN
bracis-28387	14	9	library	library	PROPN
bracis-28387	14	10	.	.	PUNCT
bracis-28387	15	1	download	download	PROPN
bracis-28387	15	2	conference	conference	NOUN
bracis-28387	15	3	paper	paper	NOUN
bracis-28387	15	4	pdf	pdf	NOUN
bracis-28387	15	5	similar	similar	ADJ
bracis-28387	15	6	content	content	NOUN
bracis-28387	15	7	being	be	AUX
bracis-28387	15	8	viewed	view	VERB
bracis-28387	15	9	by	by	ADP
bracis-28387	15	10	others	other	NOUN
bracis-28387	15	11	predicting	predict	VERB
bracis-28387	15	12	brain	brain	NOUN
bracis-28387	15	13	age	age	NOUN
bracis-28387	15	14	using	use	VERB
bracis-28387	15	15	lightweight	lightweight	PROPN
bracis-28387	15	16	3d	3d	PROPN
bracis-28387	15	17	cnn	cnn	PROPN
bracis-28387	15	18	architecture	architecture	NOUN
bracis-28387	15	19	from	from	ADP
bracis-28387	15	20	 	 	SPACE
bracis-28387	15	21	t1	t1	NOUN
bracis-28387	15	22	-	-	PUNCT
bracis-28387	15	23	weighted	weight	VERB
bracis-28387	15	24	mri	mri	NOUN
bracis-28387	15	25	images	image	NOUN
bracis-28387	15	26	chapter	chapter	NOUN
bracis-28387	15	27	©	©	NOUN
bracis-28387	15	28	2025	2025	NUM
bracis-28387	15	29	improving	improve	VERB
bracis-28387	15	30	across	across	ADP
bracis-28387	15	31	dataset	dataset	ADJ
bracis-28387	15	32	brain	brain	NOUN
bracis-28387	15	33	age	age	NOUN
bracis-28387	15	34	predictions	prediction	NOUN
bracis-28387	15	35	using	use	VERB
bracis-28387	15	36	transfer	transfer	NOUN
bracis-28387	15	37	learning	learn	VERB
bracis-28387	15	38	chapter	chapter	NOUN
bracis-28387	15	39	©	©	PROPN
bracis-28387	15	40	2021	2021	NUM
bracis-28387	15	41	brain	brain	NOUN
bracis-28387	15	42	age	age	NOUN
bracis-28387	15	43	and	and	CCONJ
bracis-28387	15	44	other	other	ADJ
bracis-28387	15	45	bodily	bodily	ADJ
bracis-28387	15	46	‘	'	PUNCT
bracis-28387	15	47	ages	age	NOUN
bracis-28387	15	48	’	'	PUNCT
bracis-28387	15	49	:	:	PUNCT
bracis-28387	15	50	implications	implication	NOUN
bracis-28387	15	51	for	for	ADP
bracis-28387	15	52	neuropsychiatry	neuropsychiatry	NOUN
bracis-28387	15	53	article	article	NOUN
bracis-28387	15	54	open	open	ADJ
bracis-28387	15	55	access	access	NOUN
bracis-28387	15	56	11	11	NUM
bracis-28387	15	57	june	june	PROPN
bracis-28387	15	58	2018	2018	NUM
bracis-28387	15	59	explore	explore	VERB
bracis-28387	15	60	related	related	ADJ
bracis-28387	15	61	subjects	subject	NOUN
bracis-28387	15	62	discover	discover	VERB
bracis-28387	15	63	the	the	DET
bracis-28387	15	64	latest	late	ADJ
bracis-28387	15	65	articles	article	NOUN
bracis-28387	15	66	,	,	PUNCT
bracis-28387	15	67	books	book	NOUN
bracis-28387	15	68	and	and	CCONJ
bracis-28387	15	69	news	news	NOUN
bracis-28387	15	70	in	in	ADP
bracis-28387	15	71	related	related	ADJ
bracis-28387	15	72	subjects	subject	NOUN
bracis-28387	15	73	,	,	PUNCT
bracis-28387	15	74	suggested	suggest	VERB
bracis-28387	15	75	using	use	VERB
bracis-28387	15	76	machine	machine	NOUN
bracis-28387	15	77	learning	learning	NOUN
bracis-28387	15	78	.	.	PUNCT
bracis-28387	16	1	ageing	age	VERB
bracis-28387	16	2	brain	brain	NOUN
bracis-28387	16	3	mapping	mapping	NOUN
bracis-28387	16	4	cognitive	cognitive	ADJ
bracis-28387	16	5	ageing	age	VERB
bracis-28387	16	6	neural	neural	ADJ
bracis-28387	16	7	ageing	age	VERB
bracis-28387	16	8	predictive	predictive	ADJ
bracis-28387	16	9	markers	marker	NOUN
bracis-28387	16	10	artificial	artificial	ADJ
bracis-28387	16	11	intelligence	intelligence	NOUN
bracis-28387	16	12	1	1	NUM
bracis-28387	16	13	introduction	introduction	NOUN
bracis-28387	16	14	as	as	ADP
bracis-28387	16	15	human	human	ADJ
bracis-28387	16	16	lifespan	lifespan	NOUN
bracis-28387	16	17	increases	increase	NOUN
bracis-28387	16	18	,	,	PUNCT
bracis-28387	16	19	there	there	PRON
bracis-28387	16	20	is	be	VERB
bracis-28387	16	21	a	a	DET
bracis-28387	16	22	growing	grow	VERB
bracis-28387	16	23	need	need	NOUN
bracis-28387	16	24	for	for	ADP
bracis-28387	16	25	reliable	reliable	ADJ
bracis-28387	16	26	methods	method	NOUN
bracis-28387	16	27	to	to	PART
bracis-28387	16	28	assess	assess	VERB
bracis-28387	16	29	brain	brain	NOUN
bracis-28387	16	30	health	health	NOUN
bracis-28387	16	31	and	and	CCONJ
bracis-28387	16	32	age	age	NOUN
bracis-28387	16	33	-	-	PUNCT
bracis-28387	16	34	related	relate	VERB
bracis-28387	16	35	changes	change	NOUN
bracis-28387	16	36	in	in	ADP
bracis-28387	16	37	the	the	DET
bracis-28387	16	38	brain	brain	NOUN
bracis-28387	16	39	.	.	PUNCT
bracis-28387	17	1	brain	brain	NOUN
bracis-28387	17	2	age	age	NOUN
bracis-28387	17	3	prediction	prediction	NOUN
bracis-28387	17	4	is	be	AUX
bracis-28387	17	5	a	a	DET
bracis-28387	17	6	promising	promising	ADJ
bracis-28387	17	7	technique	technique	NOUN
bracis-28387	17	8	that	that	PRON
bracis-28387	17	9	uses	use	VERB
bracis-28387	17	10	neuroimaging	neuroimage	VERB
bracis-28387	17	11	data	datum	NOUN
bracis-28387	17	12	to	to	PART
bracis-28387	17	13	estimate	estimate	VERB
bracis-28387	17	14	the	the	DET
bracis-28387	17	15	apparent	apparent	ADJ
bracis-28387	17	16	age	age	NOUN
bracis-28387	17	17	of	of	ADP
bracis-28387	17	18	an	an	DET
bracis-28387	17	19	individual	individual	NOUN
bracis-28387	17	20	’s	’s	PART
bracis-28387	17	21	brain	brain	NOUN
bracis-28387	17	22	,	,	PUNCT
bracis-28387	17	23	which	which	PRON
bracis-28387	17	24	can	can	AUX
bracis-28387	17	25	serve	serve	VERB
bracis-28387	17	26	as	as	ADP
bracis-28387	17	27	an	an	DET
bracis-28387	17	28	indicator	indicator	NOUN
bracis-28387	17	29	of	of	ADP
bracis-28387	17	30	overall	overall	ADJ
bracis-28387	17	31	brain	brain	NOUN
bracis-28387	17	32	health	health	NOUN
bracis-28387	17	33	and	and	CCONJ
bracis-28387	17	34	successful	successful	ADJ
bracis-28387	17	35	aging	aging	NOUN
bracis-28387	17	36	,	,	PUNCT
bracis-28387	17	37	as	as	ADV
bracis-28387	17	38	well	well	ADV
bracis-28387	17	39	as	as	ADP
bracis-28387	17	40	a	a	DET
bracis-28387	17	41	disease	disease	NOUN
bracis-28387	17	42	biomarker	biomarker	NOUN
bracis-28387	17	43	 	 	SPACE
bracis-28387	18	1	[	[	X
bracis-28387	18	2	5	5	NUM
bracis-28387	18	3	,	,	PUNCT
bracis-28387	18	4	6	6	NUM
bracis-28387	18	5	,	,	PUNCT
bracis-28387	18	6	11	11	NUM
bracis-28387	18	7	,	,	PUNCT
bracis-28387	18	8	17	17	NUM
bracis-28387	18	9	,	,	PUNCT
bracis-28387	18	10	21	21	NUM
bracis-28387	18	11	]	]	PUNCT
bracis-28387	18	12	.	.	PUNCT
bracis-28387	19	1	deep	deep	ADJ
bracis-28387	19	2	learning	learning	NOUN
bracis-28387	19	3	models	model	NOUN
bracis-28387	19	4	have	have	AUX
bracis-28387	19	5	shown	show	VERB
bracis-28387	19	6	great	great	ADJ
bracis-28387	19	7	potential	potential	NOUN
bracis-28387	19	8	in	in	ADP
bracis-28387	19	9	accurately	accurately	ADV
bracis-28387	19	10	predicting	predict	VERB
bracis-28387	19	11	brain	brain	NOUN
bracis-28387	19	12	age	age	NOUN
bracis-28387	19	13	from	from	ADP
bracis-28387	19	14	magnetic	magnetic	ADJ
bracis-28387	19	15	resonance	resonance	NOUN
bracis-28387	19	16	imaging	imaging	NOUN
bracis-28387	19	17	(	(	PUNCT
bracis-28387	19	18	mri	mri	NOUN
bracis-28387	19	19	)	)	PUNCT
bracis-28387	19	20	data	datum	NOUN
bracis-28387	19	21	 	 	SPACE
bracis-28387	20	1	[	[	X
bracis-28387	20	2	4	4	NUM
bracis-28387	20	3	,	,	PUNCT
bracis-28387	20	4	7	7	NUM
bracis-28387	20	5	,	,	PUNCT
bracis-28387	20	6	17	17	NUM
bracis-28387	20	7	,	,	PUNCT
bracis-28387	20	8	27	27	NUM
bracis-28387	20	9	,	,	PUNCT
bracis-28387	20	10	29	29	NUM
bracis-28387	20	11	]	]	PUNCT
bracis-28387	20	12	.	.	PUNCT
bracis-28387	21	1	training	train	VERB
bracis-28387	21	2	deep	deep	ADJ
bracis-28387	21	3	learning	learning	NOUN
bracis-28387	21	4	models	model	NOUN
bracis-28387	21	5	for	for	ADP
bracis-28387	21	6	brain	brain	NOUN
bracis-28387	21	7	age	age	NOUN
bracis-28387	21	8	prediction	prediction	NOUN
bracis-28387	21	9	shares	share	VERB
bracis-28387	21	10	several	several	ADJ
bracis-28387	21	11	challenges	challenge	NOUN
bracis-28387	21	12	with	with	ADP
bracis-28387	21	13	other	other	ADJ
bracis-28387	21	14	neuroimaging	neuroimaging	NOUN
bracis-28387	21	15	tasks	task	NOUN
bracis-28387	21	16	,	,	PUNCT
bracis-28387	21	17	in	in	ADP
bracis-28387	21	18	comparison	comparison	NOUN
bracis-28387	21	19	to	to	ADP
bracis-28387	21	20	traditional	traditional	ADJ
bracis-28387	21	21	computer	computer	NOUN
bracis-28387	21	22	vision	vision	NOUN
bracis-28387	21	23	,	,	PUNCT
bracis-28387	21	24	such	such	ADJ
bracis-28387	21	25	as	as	ADP
bracis-28387	21	26	the	the	DET
bracis-28387	21	27	increased	increase	VERB
bracis-28387	21	28	gpu	gpu	NOUN
bracis-28387	21	29	memory	memory	NOUN
bracis-28387	21	30	used	use	VERB
bracis-28387	21	31	from	from	ADP
bracis-28387	21	32	the	the	DET
bracis-28387	21	33	3d	3d	PROPN
bracis-28387	21	34	data	datum	NOUN
bracis-28387	21	35	and	and	CCONJ
bracis-28387	21	36	the	the	DET
bracis-28387	21	37	extensive	extensive	ADJ
bracis-28387	21	38	pre	pre	ADJ
bracis-28387	21	39	-	-	ADJ
bracis-28387	21	40	processing	processing	NOUN
bracis-28387	21	41	required	require	VERB
bracis-28387	21	42	to	to	PART
bracis-28387	21	43	account	account	VERB
bracis-28387	21	44	for	for	ADP
bracis-28387	21	45	the	the	DET
bracis-28387	21	46	variability	variability	NOUN
bracis-28387	21	47	in	in	ADP
bracis-28387	21	48	the	the	DET
bracis-28387	21	49	acquisition	acquisition	NOUN
bracis-28387	21	50	process	process	NOUN
bracis-28387	21	51	.	.	PUNCT
bracis-28387	22	1	in	in	ADP
bracis-28387	22	2	particular	particular	ADJ
bracis-28387	22	3	,	,	PUNCT
bracis-28387	22	4	available	available	ADJ
bracis-28387	22	5	neuroimaging	neuroimaging	NOUN
bracis-28387	22	6	datasets	dataset	NOUN
bracis-28387	22	7	are	be	AUX
bracis-28387	22	8	much	much	ADV
bracis-28387	22	9	smaller	small	ADJ
bracis-28387	22	10	than	than	ADP
bracis-28387	22	11	existing	exist	VERB
bracis-28387	22	12	natural	natural	ADJ
bracis-28387	22	13	imaging	imaging	NOUN
bracis-28387	22	14	datasets	dataset	NOUN
bracis-28387	22	15	 	 	SPACE
bracis-28387	23	1	[	[	X
bracis-28387	23	2	13	13	NUM
bracis-28387	23	3	,	,	PUNCT
bracis-28387	23	4	33	33	NUM
bracis-28387	23	5	]	]	PUNCT
bracis-28387	23	6	,	,	PUNCT
bracis-28387	23	7	and	and	CCONJ
bracis-28387	23	8	deep	deep	ADJ
bracis-28387	23	9	learning	learning	NOUN
bracis-28387	23	10	models	model	NOUN
bracis-28387	23	11	are	be	AUX
bracis-28387	23	12	known	know	VERB
bracis-28387	23	13	to	to	PART
bracis-28387	23	14	be	be	AUX
bracis-28387	23	15	very	very	ADV
bracis-28387	23	16	dependent	dependent	ADJ
bracis-28387	23	17	on	on	ADP
bracis-28387	23	18	sample	sample	NOUN
bracis-28387	23	19	sizes	size	NOUN
bracis-28387	23	20	.	.	PUNCT
bracis-28387	24	1	therefore	therefore	ADV
bracis-28387	24	2	,	,	PUNCT
bracis-28387	24	3	data	data	NOUN
bracis-28387	24	4	-	-	PUNCT
bracis-28387	24	5	efficient	efficient	ADJ
bracis-28387	24	6	training	training	NOUN
bracis-28387	24	7	strategies	strategy	NOUN
bracis-28387	24	8	are	be	AUX
bracis-28387	24	9	crucial	crucial	ADJ
bracis-28387	24	10	to	to	PART
bracis-28387	24	11	achieve	achieve	VERB
bracis-28387	24	12	high	high	ADJ
bracis-28387	24	13	performance	performance	NOUN
bracis-28387	24	14	in	in	ADP
bracis-28387	24	15	brain	brain	NOUN
bracis-28387	24	16	age	age	NOUN
bracis-28387	24	17	prediction	prediction	NOUN
bracis-28387	24	18	.	.	PUNCT
bracis-28387	25	1	in	in	ADP
bracis-28387	25	2	this	this	DET
bracis-28387	25	3	paper	paper	NOUN
bracis-28387	25	4	,	,	PUNCT
bracis-28387	25	5	we	we	PRON
bracis-28387	25	6	explore	explore	VERB
bracis-28387	25	7	the	the	DET
bracis-28387	25	8	impact	impact	NOUN
bracis-28387	25	9	of	of	ADP
bracis-28387	25	10	pre	pre	ADJ
bracis-28387	25	11	-	-	ADJ
bracis-28387	25	12	training	training	ADJ
bracis-28387	25	13	deep	deep	ADJ
bracis-28387	25	14	learning	learning	NOUN
bracis-28387	25	15	models	model	NOUN
bracis-28387	25	16	for	for	ADP
bracis-28387	25	17	brain	brain	NOUN
bracis-28387	25	18	age	age	NOUN
bracis-28387	25	19	prediction	prediction	NOUN
bracis-28387	25	20	.	.	PUNCT
bracis-28387	26	1	inspired	inspire	VERB
bracis-28387	26	2	by	by	ADP
bracis-28387	26	3	the	the	DET
bracis-28387	26	4	learning	learning	NOUN
bracis-28387	26	5	process	process	NOUN
bracis-28387	26	6	of	of	ADP
bracis-28387	26	7	expert	expert	NOUN
bracis-28387	26	8	neuroradiologists	neuroradiologist	NOUN
bracis-28387	26	9	,	,	PUNCT
bracis-28387	26	10	we	we	PRON
bracis-28387	26	11	apply	apply	VERB
bracis-28387	26	12	transfer	transfer	NOUN
bracis-28387	26	13	learning	learning	NOUN
bracis-28387	26	14	by	by	ADP
bracis-28387	26	15	pre	pre	VERB
bracis-28387	26	16	-	-	VERB
bracis-28387	26	17	training	train	VERB
bracis-28387	26	18	our	our	PRON
bracis-28387	26	19	brain	brain	NOUN
bracis-28387	26	20	age	age	NOUN
bracis-28387	26	21	models	model	NOUN
bracis-28387	26	22	on	on	ADP
bracis-28387	26	23	a	a	DET
bracis-28387	26	24	brain	brain	NOUN
bracis-28387	26	25	-	-	PUNCT
bracis-28387	26	26	related	relate	VERB
bracis-28387	26	27	task	task	NOUN
bracis-28387	26	28	.	.	PUNCT
bracis-28387	27	1	for	for	ADP
bracis-28387	27	2	comparison	comparison	NOUN
bracis-28387	27	3	,	,	PUNCT
bracis-28387	27	4	we	we	PRON
bracis-28387	27	5	also	also	ADV
bracis-28387	27	6	train	train	VERB
bracis-28387	27	7	models	model	NOUN
bracis-28387	27	8	without	without	ADP
bracis-28387	27	9	pre	pre	ADJ
bracis-28387	27	10	-	-	ADJ
bracis-28387	27	11	training	training	NOUN
bracis-28387	27	12	and	and	CCONJ
bracis-28387	27	13	models	model	NOUN
bracis-28387	27	14	pre	pre	VERB
bracis-28387	27	15	-	-	VERB
bracis-28387	27	16	trained	train	VERB
bracis-28387	27	17	on	on	ADP
bracis-28387	27	18	natural	natural	ADJ
bracis-28387	27	19	image	image	NOUN
bracis-28387	27	20	classification	classification	NOUN
bracis-28387	27	21	.	.	PUNCT
bracis-28387	28	1	we	we	PRON
bracis-28387	28	2	investigate	investigate	VERB
bracis-28387	28	3	the	the	DET
bracis-28387	28	4	performance	performance	NOUN
bracis-28387	28	5	gain	gain	NOUN
bracis-28387	28	6	from	from	ADP
bracis-28387	28	7	pre	pre	ADJ
bracis-28387	28	8	-	-	NOUN
bracis-28387	28	9	training	training	NOUN
bracis-28387	28	10	and	and	CCONJ
bracis-28387	28	11	evaluate	evaluate	VERB
bracis-28387	28	12	the	the	DET
bracis-28387	28	13	models	model	NOUN
bracis-28387	28	14	’	’	PART
bracis-28387	28	15	brain	brain	NOUN
bracis-28387	28	16	age	age	NOUN
bracis-28387	28	17	prediction	prediction	NOUN
bracis-28387	28	18	as	as	ADP
bracis-28387	28	19	a	a	DET
bracis-28387	28	20	biomarker	biomarker	NOUN
bracis-28387	28	21	for	for	ADP
bracis-28387	28	22	cognitive	cognitive	ADJ
bracis-28387	28	23	impairment	impairment	NOUN
bracis-28387	28	24	.	.	PUNCT
bracis-28387	29	1	more	more	ADV
bracis-28387	29	2	specifically	specifically	ADV
bracis-28387	29	3	:	:	PUNCT
bracis-28387	29	4	we	we	PRON
bracis-28387	29	5	pre	pre	ADJ
bracis-28387	29	6	-	-	ADJ
bracis-28387	29	7	train	train	ADJ
bracis-28387	29	8	deep	deep	ADJ
bracis-28387	29	9	learning	learning	NOUN
bracis-28387	29	10	models	model	NOUN
bracis-28387	29	11	on	on	ADP
bracis-28387	29	12	the	the	DET
bracis-28387	29	13	brain	brain	NOUN
bracis-28387	29	14	tumor	tumor	NOUN
bracis-28387	29	15	segmentation	segmentation	NOUN
bracis-28387	29	16	task	task	NOUN
bracis-28387	29	17	and	and	CCONJ
bracis-28387	29	18	compare	compare	VERB
bracis-28387	29	19	them	they	PRON
bracis-28387	29	20	to	to	ADP
bracis-28387	29	21	models	model	NOUN
bracis-28387	29	22	without	without	ADP
bracis-28387	29	23	pre	pre	ADJ
bracis-28387	29	24	-	-	NOUN
bracis-28387	29	25	training	training	NOUN
bracis-28387	29	26	and	and	CCONJ
bracis-28387	29	27	with	with	ADP
bracis-28387	29	28	pre	pre	NOUN
bracis-28387	29	29	-	-	NOUN
bracis-28387	29	30	training	training	NOUN
bracis-28387	29	31	on	on	ADP
bracis-28387	29	32	the	the	DET
bracis-28387	29	33	imagenet	imagenet	ADJ
bracis-28387	29	34	natural	natural	ADJ
bracis-28387	29	35	image	image	NOUN
bracis-28387	29	36	classification	classification	NOUN
bracis-28387	29	37	task	task	NOUN
bracis-28387	29	38	;	;	PUNCT
bracis-28387	29	39	we	we	PRON
bracis-28387	29	40	test	test	VERB
bracis-28387	29	41	the	the	DET
bracis-28387	29	42	brain	brain	NOUN
bracis-28387	29	43	age	age	NOUN
bracis-28387	29	44	models	model	NOUN
bracis-28387	29	45	using	use	VERB
bracis-28387	29	46	data	datum	NOUN
bracis-28387	29	47	from	from	ADP
bracis-28387	29	48	the	the	DET
bracis-28387	29	49	adni	adni	PROPN
bracis-28387	29	50	studies	study	NOUN
bracis-28387	29	51	,	,	PUNCT
bracis-28387	29	52	and	and	CCONJ
bracis-28387	29	53	show	show	VERB
bracis-28387	29	54	that	that	SCONJ
bracis-28387	29	55	the	the	DET
bracis-28387	29	56	models	model	NOUN
bracis-28387	29	57	pre	pre	VERB
bracis-28387	29	58	-	-	VERB
bracis-28387	29	59	trained	train	VERB
bracis-28387	29	60	on	on	ADP
bracis-28387	29	61	the	the	DET
bracis-28387	29	62	brain	brain	NOUN
bracis-28387	29	63	-	-	PUNCT
bracis-28387	29	64	related	relate	VERB
bracis-28387	29	65	task	task	NOUN
bracis-28387	29	66	outperform	outperform	ADP
bracis-28387	29	67	the	the	DET
bracis-28387	29	68	other	other	ADJ
bracis-28387	29	69	models	model	NOUN
bracis-28387	29	70	,	,	PUNCT
bracis-28387	29	71	achieving	achieve	VERB
bracis-28387	29	72	the	the	DET
bracis-28387	29	73	state	state	NOUN
bracis-28387	29	74	-	-	PUNCT
bracis-28387	29	75	of	of	ADP
bracis-28387	29	76	-	-	PUNCT
bracis-28387	29	77	the	the	DET
bracis-28387	29	78	-	-	PUNCT
bracis-28387	29	79	art	art	NOUN
bracis-28387	29	80	in	in	ADP
bracis-28387	29	81	brain	brain	NOUN
bracis-28387	29	82	age	age	NOUN
bracis-28387	29	83	prediction	prediction	NOUN
bracis-28387	29	84	;	;	PUNCT
bracis-28387	29	85	we	we	PRON
bracis-28387	29	86	evaluate	evaluate	VERB
bracis-28387	29	87	the	the	DET
bracis-28387	29	88	brain	brain	NOUN
bracis-28387	29	89	age	age	NOUN
bracis-28387	29	90	prediction	prediction	NOUN
bracis-28387	29	91	of	of	ADP
bracis-28387	29	92	all	all	DET
bracis-28387	29	93	models	model	NOUN
bracis-28387	29	94	as	as	ADP
bracis-28387	29	95	a	a	DET
bracis-28387	29	96	biomarker	biomarker	NOUN
bracis-28387	29	97	for	for	ADP
bracis-28387	29	98	different	different	ADJ
bracis-28387	29	99	clinical	clinical	ADJ
bracis-28387	29	100	groups	group	NOUN
bracis-28387	29	101	(	(	PUNCT
bracis-28387	29	102	healthy	healthy	ADJ
bracis-28387	29	103	,	,	PUNCT
bracis-28387	29	104	mild	mild	ADJ
bracis-28387	29	105	cognitive	cognitive	ADJ
bracis-28387	29	106	impairment	impairment	NOUN
bracis-28387	29	107	,	,	PUNCT
bracis-28387	29	108	and	and	CCONJ
bracis-28387	29	109	alzheimer	alzheimer	PROPN
bracis-28387	29	110	’s	’s	PART
bracis-28387	29	111	disease	disease	NOUN
bracis-28387	29	112	)	)	PUNCT
bracis-28387	29	113	;	;	PUNCT
bracis-28387	29	114	our	our	PRON
bracis-28387	29	115	experiments	experiment	NOUN
bracis-28387	29	116	suggest	suggest	VERB
bracis-28387	29	117	that	that	SCONJ
bracis-28387	29	118	,	,	PUNCT
bracis-28387	29	119	despite	despite	SCONJ
bracis-28387	29	120	the	the	DET
bracis-28387	29	121	common	common	ADJ
bracis-28387	29	122	practice	practice	NOUN
bracis-28387	29	123	,	,	PUNCT
bracis-28387	29	124	better	well	ADJ
bracis-28387	29	125	models	model	NOUN
bracis-28387	29	126	in	in	ADP
bracis-28387	29	127	terms	term	NOUN
bracis-28387	29	128	of	of	ADP
bracis-28387	29	129	brain	brain	NOUN
bracis-28387	29	130	age	age	NOUN
bracis-28387	29	131	prediction	prediction	NOUN
bracis-28387	29	132	of	of	ADP
bracis-28387	29	133	healthy	healthy	ADJ
bracis-28387	29	134	patients	patient	NOUN
bracis-28387	29	135	do	do	AUX
bracis-28387	29	136	not	not	PART
bracis-28387	29	137	result	result	VERB
bracis-28387	29	138	in	in	ADP
bracis-28387	29	139	more	more	ADV
bracis-28387	29	140	reliable	reliable	ADJ
bracis-28387	29	141	biomarkers	biomarker	NOUN
bracis-28387	29	142	;	;	PUNCT
bracis-28387	29	143	all	all	PRON
bracis-28387	29	144	of	of	ADP
bracis-28387	29	145	our	our	PRON
bracis-28387	29	146	results	result	NOUN
bracis-28387	29	147	are	be	AUX
bracis-28387	29	148	reported	report	VERB
bracis-28387	29	149	on	on	ADP
bracis-28387	29	150	a	a	DET
bracis-28387	29	151	standardized	standardized	ADJ
bracis-28387	29	152	,	,	PUNCT
bracis-28387	29	153	publicly	publicly	ADV
bracis-28387	29	154	available	available	ADJ
bracis-28387	29	155	dataset	dataset	NOUN
bracis-28387	29	156	,	,	PUNCT
bracis-28387	29	157	providing	provide	VERB
bracis-28387	29	158	an	an	DET
bracis-28387	29	159	easy	easy	ADJ
bracis-28387	29	160	comparison	comparison	NOUN
bracis-28387	29	161	with	with	ADP
bracis-28387	29	162	future	future	ADJ
bracis-28387	29	163	research	research	NOUN
bracis-28387	29	164	.	.	PUNCT
bracis-28387	30	1	2	2	NUM
bracis-28387	30	2	related	relate	VERB
bracis-28387	30	3	work	work	NOUN
bracis-28387	30	4	detecting	detect	VERB
bracis-28387	30	5	aging	age	VERB
bracis-28387	30	6	features	feature	NOUN
bracis-28387	30	7	on	on	ADP
bracis-28387	30	8	brain	brain	NOUN
bracis-28387	30	9	mri	mri	NOUN
bracis-28387	30	10	has	have	AUX
bracis-28387	30	11	been	be	AUX
bracis-28387	30	12	an	an	DET
bracis-28387	30	13	active	active	ADJ
bracis-28387	30	14	area	area	NOUN
bracis-28387	30	15	of	of	ADP
bracis-28387	30	16	research	research	NOUN
bracis-28387	30	17	for	for	ADP
bracis-28387	30	18	many	many	ADJ
bracis-28387	30	19	years	year	NOUN
bracis-28387	30	20	 	 	SPACE
bracis-28387	31	1	[	[	X
bracis-28387	31	2	10	10	NUM
bracis-28387	31	3	,	,	PUNCT
bracis-28387	31	4	18	18	NUM
bracis-28387	31	5	,	,	PUNCT
bracis-28387	31	6	34	34	NUM
bracis-28387	31	7	]	]	PUNCT
bracis-28387	31	8	.	.	PUNCT
bracis-28387	32	1	the	the	DET
bracis-28387	32	2	use	use	NOUN
bracis-28387	32	3	of	of	ADP
bracis-28387	32	4	deep	deep	ADJ
bracis-28387	32	5	learning	learning	NOUN
bracis-28387	32	6	for	for	ADP
bracis-28387	32	7	brain	brain	NOUN
bracis-28387	32	8	age	age	NOUN
bracis-28387	32	9	prediction	prediction	NOUN
bracis-28387	32	10	has	have	AUX
bracis-28387	32	11	gained	gain	VERB
bracis-28387	32	12	considerable	considerable	ADJ
bracis-28387	32	13	attention	attention	NOUN
bracis-28387	32	14	in	in	ADP
bracis-28387	32	15	recent	recent	ADJ
bracis-28387	32	16	years	year	NOUN
bracis-28387	32	17	 	 	SPACE
bracis-28387	33	1	[	[	X
bracis-28387	33	2	1	1	NUM
bracis-28387	33	3	,	,	PUNCT
bracis-28387	33	4	8	8	NUM
bracis-28387	33	5	,	,	PUNCT
bracis-28387	33	6	20	20	NUM
bracis-28387	33	7	,	,	PUNCT
bracis-28387	33	8	27	27	NUM
bracis-28387	33	9	,	,	PUNCT
bracis-28387	33	10	29	29	NUM
bracis-28387	33	11	,	,	PUNCT
bracis-28387	33	12	30	30	NUM
bracis-28387	33	13	]	]	PUNCT
bracis-28387	33	14	.	.	PUNCT
bracis-28387	34	1	in	in	ADP
bracis-28387	34	2	this	this	DET
bracis-28387	34	3	section	section	NOUN
bracis-28387	34	4	,	,	PUNCT
bracis-28387	34	5	we	we	PRON
bracis-28387	34	6	provide	provide	VERB
bracis-28387	34	7	a	a	DET
bracis-28387	34	8	brief	brief	ADJ
bracis-28387	34	9	overview	overview	NOUN
bracis-28387	34	10	of	of	ADP
bracis-28387	34	11	related	related	ADJ
bracis-28387	34	12	works	work	NOUN
bracis-28387	34	13	on	on	ADP
bracis-28387	34	14	brain	brain	NOUN
bracis-28387	34	15	age	age	NOUN
bracis-28387	34	16	prediction	prediction	NOUN
bracis-28387	34	17	from	from	ADP
bracis-28387	34	18	mris	mris	PROPN
bracis-28387	34	19	using	use	VERB
bracis-28387	34	20	deep	deep	ADJ
bracis-28387	34	21	learning	learning	NOUN
bracis-28387	34	22	models	model	NOUN
bracis-28387	34	23	.	.	PUNCT
bracis-28387	35	1	one	one	NUM
bracis-28387	35	2	of	of	ADP
bracis-28387	35	3	the	the	DET
bracis-28387	35	4	earliest	early	ADJ
bracis-28387	35	5	applications	application	NOUN
bracis-28387	35	6	of	of	ADP
bracis-28387	35	7	deep	deep	ADJ
bracis-28387	35	8	learning	learning	NOUN
bracis-28387	35	9	to	to	PART
bracis-28387	35	10	brain	brain	NOUN
bracis-28387	35	11	age	age	NOUN
bracis-28387	35	12	prediction	prediction	NOUN
bracis-28387	35	13	was	be	AUX
bracis-28387	35	14	presented	present	VERB
bracis-28387	35	15	by	by	ADP
bracis-28387	35	16	cole	cole	PROPN
bracis-28387	35	17	et	et	PROPN
bracis-28387	35	18	al	al	PROPN
bracis-28387	35	19	.	.	PUNCT
bracis-28387	36	1	[	[	X
bracis-28387	36	2	7	7	NUM
bracis-28387	36	3	]	]	PUNCT
bracis-28387	36	4	.	.	PUNCT
bracis-28387	37	1	the	the	DET
bracis-28387	37	2	authors	author	NOUN
bracis-28387	37	3	employed	employ	VERB
bracis-28387	37	4	a	a	DET
bracis-28387	37	5	neural	neural	ADJ
bracis-28387	37	6	network	network	NOUN
bracis-28387	37	7	comprising	comprise	VERB
bracis-28387	37	8	a	a	DET
bracis-28387	37	9	convolutional	convolutional	ADJ
bracis-28387	37	10	backbone	backbone	NOUN
bracis-28387	37	11	and	and	CCONJ
bracis-28387	37	12	a	a	DET
bracis-28387	37	13	fully	fully	ADV
bracis-28387	37	14	connected	connect	VERB
bracis-28387	37	15	regression	regression	NOUN
bracis-28387	37	16	head	head	NOUN
bracis-28387	37	17	to	to	PART
bracis-28387	37	18	analyze	analyze	VERB
bracis-28387	37	19	a	a	DET
bracis-28387	37	20	dataset	dataset	NOUN
bracis-28387	37	21	of	of	ADP
bracis-28387	37	22	t1	t1	PROPN
bracis-28387	37	23	-	-	PUNCT
bracis-28387	37	24	weighted	weight	VERB
bracis-28387	37	25	mri	mri	NOUN
bracis-28387	37	26	scans	scan	NOUN
bracis-28387	37	27	from	from	ADP
bracis-28387	37	28	2001	2001	NUM
bracis-28387	37	29	healthy	healthy	ADJ
bracis-28387	37	30	subjects	subject	NOUN
bracis-28387	37	31	aged	age	VERB
bracis-28387	37	32	18	18	NUM
bracis-28387	37	33	to	to	PART
bracis-28387	37	34	90	90	NUM
bracis-28387	37	35	.	.	PUNCT
bracis-28387	38	1	the	the	DET
bracis-28387	38	2	training	training	NOUN
bracis-28387	38	3	is	be	AUX
bracis-28387	38	4	performed	perform	VERB
bracis-28387	38	5	solely	solely	ADV
bracis-28387	38	6	on	on	ADP
bracis-28387	38	7	images	image	NOUN
bracis-28387	38	8	of	of	ADP
bracis-28387	38	9	healthy	healthy	ADJ
bracis-28387	38	10	subjects	subject	NOUN
bracis-28387	38	11	,	,	PUNCT
bracis-28387	38	12	following	follow	VERB
bracis-28387	38	13	the	the	DET
bracis-28387	38	14	hypothesis	hypothesis	NOUN
bracis-28387	38	15	that	that	PRON
bracis-28387	38	16	the	the	DET
bracis-28387	38	17	brain	brain	NOUN
bracis-28387	38	18	age	age	NOUN
bracis-28387	38	19	of	of	ADP
bracis-28387	38	20	healthy	healthy	ADJ
bracis-28387	38	21	subjects	subject	NOUN
bracis-28387	38	22	is	be	AUX
bracis-28387	38	23	close	close	ADJ
bracis-28387	38	24	to	to	ADP
bracis-28387	38	25	their	their	PRON
bracis-28387	38	26	actual	actual	ADJ
bracis-28387	38	27	age	age	NOUN
bracis-28387	38	28	.	.	PUNCT
bracis-28387	39	1	their	their	PRON
bracis-28387	39	2	deep	deep	ADJ
bracis-28387	39	3	learning	learning	NOUN
bracis-28387	39	4	model	model	NOUN
bracis-28387	39	5	outperformed	outperform	VERB
bracis-28387	39	6	the	the	DET
bracis-28387	39	7	machine	machine	NOUN
bracis-28387	39	8	learning	learn	VERB
bracis-28387	39	9	approach	approach	NOUN
bracis-28387	39	10	(	(	PUNCT
bracis-28387	39	11	gaussian	gaussian	ADJ
bracis-28387	39	12	process	process	NOUN
bracis-28387	39	13	regressor	regressor	NOUN
bracis-28387	39	14	)	)	PUNCT
bracis-28387	39	15	.	.	PUNCT
bracis-28387	40	1	the	the	DET
bracis-28387	40	2	authors	author	NOUN
bracis-28387	40	3	also	also	ADV
bracis-28387	40	4	assessed	assess	VERB
bracis-28387	40	5	the	the	DET
bracis-28387	40	6	reliability	reliability	NOUN
bracis-28387	40	7	of	of	ADP
bracis-28387	40	8	the	the	DET
bracis-28387	40	9	predictions	prediction	NOUN
bracis-28387	40	10	across	across	ADP
bracis-28387	40	11	individuals	individual	NOUN
bracis-28387	40	12	and	and	CCONJ
bracis-28387	40	13	acquisition	acquisition	NOUN
bracis-28387	40	14	methods	method	NOUN
bracis-28387	40	15	.	.	PUNCT
bracis-28387	41	1	jonsson	jonsson	PROPN
bracis-28387	41	2	et	et	PROPN
bracis-28387	41	3	al	al	PROPN
bracis-28387	41	4	.	.	PUNCT
bracis-28387	42	1	[	[	X
bracis-28387	42	2	17	17	NUM
bracis-28387	42	3	]	]	PUNCT
bracis-28387	42	4	developed	develop	VERB
bracis-28387	42	5	a	a	DET
bracis-28387	42	6	deep	deep	ADJ
bracis-28387	42	7	learning	learning	NOUN
bracis-28387	42	8	model	model	NOUN
bracis-28387	42	9	for	for	ADP
bracis-28387	42	10	brain	brain	NOUN
bracis-28387	42	11	age	age	NOUN
bracis-28387	42	12	prediction	prediction	NOUN
bracis-28387	42	13	using	use	VERB
bracis-28387	42	14	brain	brain	NOUN
bracis-28387	42	15	mri	mri	NOUN
bracis-28387	42	16	scans	scan	NOUN
bracis-28387	42	17	from	from	ADP
bracis-28387	42	18	1264	1264	NUM
bracis-28387	42	19	healthy	healthy	ADJ
bracis-28387	42	20	subjects	subject	NOUN
bracis-28387	42	21	aged	age	VERB
bracis-28387	42	22	18	18	NUM
bracis-28387	42	23	to	to	PART
bracis-28387	42	24	75	75	NUM
bracis-28387	42	25	.	.	PUNCT
bracis-28387	43	1	they	they	PRON
bracis-28387	43	2	explored	explore	VERB
bracis-28387	43	3	the	the	DET
bracis-28387	43	4	impact	impact	NOUN
bracis-28387	43	5	of	of	ADP
bracis-28387	43	6	training	training	NOUN
bracis-28387	43	7	and	and	CCONJ
bracis-28387	43	8	testing	testing	NOUN
bracis-28387	43	9	on	on	ADP
bracis-28387	43	10	distinct	distinct	ADJ
bracis-28387	43	11	datasets	dataset	NOUN
bracis-28387	43	12	,	,	PUNCT
bracis-28387	43	13	finding	find	VERB
bracis-28387	43	14	that	that	SCONJ
bracis-28387	43	15	the	the	DET
bracis-28387	43	16	performance	performance	NOUN
bracis-28387	43	17	of	of	ADP
bracis-28387	43	18	brain	brain	NOUN
bracis-28387	43	19	age	age	NOUN
bracis-28387	43	20	prediction	prediction	NOUN
bracis-28387	43	21	degraded	degrade	VERB
bracis-28387	43	22	when	when	SCONJ
bracis-28387	43	23	the	the	DET
bracis-28387	43	24	target	target	NOUN
bracis-28387	43	25	dataset	dataset	NOUN
bracis-28387	43	26	differed	differ	VERB
bracis-28387	43	27	from	from	ADP
bracis-28387	43	28	the	the	DET
bracis-28387	43	29	training	training	NOUN
bracis-28387	43	30	dataset	dataset	NOUN
bracis-28387	43	31	.	.	PUNCT
bracis-28387	44	1	bashyam	bashyam	ADV
bracis-28387	44	2	et	et	PROPN
bracis-28387	44	3	al	al	PROPN
bracis-28387	44	4	.	.	PUNCT
bracis-28387	45	1	[	[	X
bracis-28387	45	2	4	4	X
bracis-28387	45	3	]	]	PUNCT
bracis-28387	45	4	proposed	propose	VERB
bracis-28387	45	5	to	to	PART
bracis-28387	45	6	improve	improve	VERB
bracis-28387	45	7	brain	brain	NOUN
bracis-28387	45	8	age	age	NOUN
bracis-28387	45	9	prediction	prediction	NOUN
bracis-28387	45	10	by	by	ADP
bracis-28387	45	11	utilizing	utilize	VERB
bracis-28387	45	12	a	a	DET
bracis-28387	45	13	larger	large	ADJ
bracis-28387	45	14	dataset	dataset	NOUN
bracis-28387	45	15	of	of	ADP
bracis-28387	45	16	brain	brain	NOUN
bracis-28387	45	17	mri	mri	NOUN
bracis-28387	45	18	scans	scan	NOUN
bracis-28387	45	19	from	from	ADP
bracis-28387	45	20	14,468	14,468	NUM
bracis-28387	45	21	subjects	subject	NOUN
bracis-28387	45	22	.	.	PUNCT
bracis-28387	46	1	the	the	DET
bracis-28387	46	2	dataset	dataset	NOUN
bracis-28387	46	3	included	include	VERB
bracis-28387	46	4	data	datum	NOUN
bracis-28387	46	5	acquired	acquire	VERB
bracis-28387	46	6	from	from	ADP
bracis-28387	46	7	different	different	ADJ
bracis-28387	46	8	sites	site	NOUN
bracis-28387	46	9	following	follow	VERB
bracis-28387	46	10	different	different	ADJ
bracis-28387	46	11	protocols	protocol	NOUN
bracis-28387	46	12	,	,	PUNCT
bracis-28387	46	13	with	with	ADP
bracis-28387	46	14	subjects	subject	NOUN
bracis-28387	46	15	aged	age	VERB
bracis-28387	46	16	3	3	NUM
bracis-28387	46	17	to	to	ADP
bracis-28387	46	18	95	95	NUM
bracis-28387	46	19	.	.	PUNCT
bracis-28387	47	1	the	the	DET
bracis-28387	47	2	authors	author	NOUN
bracis-28387	47	3	pre	pre	VERB
bracis-28387	47	4	-	-	VERB
bracis-28387	47	5	trained	train	VERB
bracis-28387	47	6	their	their	PRON
bracis-28387	47	7	neural	neural	ADJ
bracis-28387	47	8	network	network	NOUN
bracis-28387	47	9	on	on	ADP
bracis-28387	47	10	the	the	DET
bracis-28387	47	11	imagenet	imagenet	NOUN
bracis-28387	47	12	dataset	dataset	NOUN
bracis-28387	47	13	,	,	PUNCT
bracis-28387	47	14	which	which	PRON
bracis-28387	47	15	is	be	AUX
bracis-28387	47	16	an	an	DET
bracis-28387	47	17	even	even	ADV
bracis-28387	47	18	larger	large	ADJ
bracis-28387	47	19	dataset	dataset	NOUN
bracis-28387	47	20	of	of	ADP
bracis-28387	47	21	natural	natural	ADJ
bracis-28387	47	22	images	image	NOUN
bracis-28387	47	23	.	.	PUNCT
bracis-28387	48	1	they	they	PRON
bracis-28387	48	2	found	find	VERB
bracis-28387	48	3	that	that	SCONJ
bracis-28387	48	4	models	model	NOUN
bracis-28387	48	5	performing	perform	VERB
bracis-28387	48	6	well	well	ADV
bracis-28387	48	7	at	at	ADP
bracis-28387	48	8	chronological	chronological	ADJ
bracis-28387	48	9	age	age	NOUN
bracis-28387	48	10	prediction	prediction	NOUN
bracis-28387	48	11	might	might	AUX
bracis-28387	48	12	not	not	PART
bracis-28387	48	13	be	be	AUX
bracis-28387	48	14	the	the	DET
bracis-28387	48	15	best	good	ADJ
bracis-28387	48	16	at	at	ADP
bracis-28387	48	17	providing	provide	VERB
bracis-28387	48	18	brain	brain	NOUN
bracis-28387	48	19	age	age	NOUN
bracis-28387	48	20	estimates	estimate	NOUN
bracis-28387	48	21	that	that	PRON
bracis-28387	48	22	correlate	correlate	VERB
bracis-28387	48	23	to	to	ADP
bracis-28387	48	24	the	the	DET
bracis-28387	48	25	diagnosis	diagnosis	NOUN
bracis-28387	48	26	of	of	ADP
bracis-28387	48	27	diseases	disease	NOUN
bracis-28387	48	28	such	such	ADJ
bracis-28387	48	29	as	as	ADP
bracis-28387	48	30	schizophrenia	schizophrenia	NOUN
bracis-28387	48	31	and	and	CCONJ
bracis-28387	48	32	alzheimer	alzheimer	PROPN
bracis-28387	48	33	’s	’s	PART
bracis-28387	48	34	.	.	PUNCT
bracis-28387	49	1	peng	peng	PROPN
bracis-28387	49	2	et	et	PROPN
bracis-28387	49	3	al	al	PROPN
bracis-28387	49	4	.	.	PUNCT
bracis-28387	50	1	[	[	X
bracis-28387	50	2	27	27	NUM
bracis-28387	50	3	]	]	PUNCT
bracis-28387	50	4	proposed	propose	VERB
bracis-28387	50	5	quality	quality	NOUN
bracis-28387	50	6	brain	brain	NOUN
bracis-28387	50	7	age	age	NOUN
bracis-28387	50	8	prediction	prediction	NOUN
bracis-28387	50	9	using	use	VERB
bracis-28387	50	10	a	a	DET
bracis-28387	50	11	lightweight	lightweight	ADJ
bracis-28387	50	12	deep	deep	ADJ
bracis-28387	50	13	learning	learning	NOUN
bracis-28387	50	14	model	model	NOUN
bracis-28387	50	15	.	.	PUNCT
bracis-28387	51	1	they	they	PRON
bracis-28387	51	2	used	use	VERB
bracis-28387	51	3	a	a	DET
bracis-28387	51	4	dataset	dataset	NOUN
bracis-28387	51	5	containing	contain	VERB
bracis-28387	51	6	14,503	14,503	NUM
bracis-28387	51	7	subjects	subject	NOUN
bracis-28387	51	8	from	from	ADP
bracis-28387	51	9	the	the	DET
bracis-28387	51	10	uk	uk	PROPN
bracis-28387	51	11	biobank	biobank	NOUN
bracis-28387	51	12	,	,	PUNCT
bracis-28387	51	13	with	with	ADP
bracis-28387	51	14	ages	age	NOUN
bracis-28387	51	15	ranging	range	VERB
bracis-28387	51	16	from	from	ADP
bracis-28387	51	17	44	44	NUM
bracis-28387	51	18	to	to	PART
bracis-28387	51	19	80	80	NUM
bracis-28387	51	20	.	.	PUNCT
bracis-28387	52	1	the	the	DET
bracis-28387	52	2	authors	author	NOUN
bracis-28387	52	3	showed	show	VERB
bracis-28387	52	4	that	that	SCONJ
bracis-28387	52	5	even	even	ADV
bracis-28387	52	6	though	though	SCONJ
bracis-28387	52	7	larger	large	ADJ
bracis-28387	52	8	models	model	NOUN
bracis-28387	52	9	perform	perform	VERB
bracis-28387	52	10	well	well	ADV
bracis-28387	52	11	on	on	ADP
bracis-28387	52	12	natural	natural	ADJ
bracis-28387	52	13	image	image	NOUN
bracis-28387	52	14	tasks	task	NOUN
bracis-28387	52	15	,	,	PUNCT
bracis-28387	52	16	smaller	small	ADJ
bracis-28387	52	17	models	model	NOUN
bracis-28387	52	18	can	can	AUX
bracis-28387	52	19	perform	perform	VERB
bracis-28387	52	20	equally	equally	ADV
bracis-28387	52	21	well	well	ADV
bracis-28387	52	22	and	and	CCONJ
bracis-28387	52	23	sometimes	sometimes	ADV
bracis-28387	52	24	even	even	ADV
bracis-28387	52	25	better	well	ADV
bracis-28387	52	26	on	on	ADP
bracis-28387	52	27	medical	medical	ADJ
bracis-28387	52	28	imaging	imaging	NOUN
bracis-28387	52	29	tasks	task	NOUN
bracis-28387	52	30	.	.	PUNCT
bracis-28387	53	1	multiple	multiple	ADJ
bracis-28387	53	2	authors	author	NOUN
bracis-28387	53	3	have	have	AUX
bracis-28387	53	4	reported	report	VERB
bracis-28387	53	5	brain	brain	NOUN
bracis-28387	53	6	age	age	NOUN
bracis-28387	53	7	performance	performance	NOUN
bracis-28387	53	8	on	on	ADP
bracis-28387	53	9	mri	mri	NOUN
bracis-28387	53	10	data	datum	NOUN
bracis-28387	53	11	from	from	ADP
bracis-28387	53	12	adni	adni	NOUN
bracis-28387	53	13	 	 	SPACE
bracis-28387	54	1	[	[	X
bracis-28387	54	2	19	19	NUM
bracis-28387	54	3	,	,	PUNCT
bracis-28387	54	4	20	20	NUM
bracis-28387	54	5	,	,	PUNCT
bracis-28387	54	6	22	22	NUM
bracis-28387	54	7	,	,	PUNCT
bracis-28387	54	8	26	26	NUM
bracis-28387	54	9	,	,	PUNCT
bracis-28387	54	10	29	29	NUM
bracis-28387	54	11	]	]	PUNCT
bracis-28387	54	12	.	.	PUNCT
bracis-28387	55	1	to	to	ADP
bracis-28387	55	2	the	the	DET
bracis-28387	55	3	best	good	ADJ
bracis-28387	55	4	of	of	ADP
bracis-28387	55	5	our	our	PRON
bracis-28387	55	6	knowledge	knowledge	NOUN
bracis-28387	55	7	,	,	PUNCT
bracis-28387	55	8	neither	neither	PRON
bracis-28387	55	9	has	have	AUX
bracis-28387	55	10	provided	provide	VERB
bracis-28387	55	11	means	mean	NOUN
bracis-28387	55	12	to	to	PART
bracis-28387	55	13	reproduce	reproduce	VERB
bracis-28387	55	14	the	the	DET
bracis-28387	55	15	dataset	dataset	NOUN
bracis-28387	55	16	used	use	VERB
bracis-28387	55	17	for	for	ADP
bracis-28387	55	18	testing	test	VERB
bracis-28387	55	19	the	the	DET
bracis-28387	55	20	models	model	NOUN
bracis-28387	55	21	.	.	PUNCT
bracis-28387	56	1	the	the	DET
bracis-28387	56	2	studies	study	NOUN
bracis-28387	56	3	either	either	CCONJ
bracis-28387	56	4	used	use	VERB
bracis-28387	56	5	a	a	DET
bracis-28387	56	6	random	random	ADJ
bracis-28387	56	7	,	,	PUNCT
bracis-28387	56	8	non	non	ADJ
bracis-28387	56	9	-	-	ADJ
bracis-28387	56	10	disclosed	disclose	VERB
bracis-28387	56	11	split	split	NOUN
bracis-28387	56	12	,	,	PUNCT
bracis-28387	56	13	or	or	CCONJ
bracis-28387	56	14	did	do	AUX
bracis-28387	56	15	not	not	PART
bracis-28387	56	16	provide	provide	VERB
bracis-28387	56	17	which	which	DET
bracis-28387	56	18	images	image	NOUN
bracis-28387	56	19	have	have	AUX
bracis-28387	56	20	been	be	AUX
bracis-28387	56	21	selected	select	VERB
bracis-28387	56	22	from	from	ADP
bracis-28387	56	23	the	the	DET
bracis-28387	56	24	adni	adni	PROPN
bracis-28387	56	25	database	database	NOUN
bracis-28387	56	26	.	.	PUNCT
bracis-28387	57	1	therefore	therefore	ADV
bracis-28387	57	2	,	,	PUNCT
bracis-28387	57	3	a	a	DET
bracis-28387	57	4	direct	direct	ADJ
bracis-28387	57	5	comparison	comparison	NOUN
bracis-28387	57	6	is	be	AUX
bracis-28387	57	7	not	not	PART
bracis-28387	57	8	possible	possible	ADJ
bracis-28387	57	9	,	,	PUNCT
bracis-28387	57	10	as	as	SCONJ
bracis-28387	57	11	we	we	PRON
bracis-28387	57	12	can	can	AUX
bracis-28387	57	13	not	not	PART
bracis-28387	57	14	perfectly	perfectly	ADV
bracis-28387	57	15	replicate	replicate	VERB
bracis-28387	57	16	the	the	DET
bracis-28387	57	17	evaluation	evaluation	NOUN
bracis-28387	57	18	setting	setting	NOUN
bracis-28387	57	19	.	.	PUNCT
bracis-28387	58	1	nonetheless	nonetheless	ADV
bracis-28387	58	2	,	,	PUNCT
bracis-28387	58	3	we	we	PRON
bracis-28387	58	4	highlight	highlight	VERB
bracis-28387	58	5	that	that	SCONJ
bracis-28387	58	6	the	the	DET
bracis-28387	58	7	best	good	ADJ
bracis-28387	58	8	performance	performance	NOUN
bracis-28387	58	9	reported	report	VERB
bracis-28387	58	10	was	be	AUX
bracis-28387	58	11	a	a	DET
bracis-28387	58	12	mean	mean	ADJ
bracis-28387	58	13	absolute	absolute	ADJ
bracis-28387	58	14	error	error	NOUN
bracis-28387	58	15	of	of	ADP
bracis-28387	58	16	3.10	3.10	NUM
bracis-28387	58	17	years	year	NOUN
bracis-28387	58	18	 	 	SPACE
bracis-28387	59	1	[	[	X
bracis-28387	59	2	20	20	NUM
bracis-28387	59	3	]	]	PUNCT
bracis-28387	59	4	.	.	PUNCT
bracis-28387	60	1	further	further	ADJ
bracis-28387	60	2	details	detail	NOUN
bracis-28387	60	3	on	on	ADP
bracis-28387	60	4	the	the	DET
bracis-28387	60	5	performance	performance	NOUN
bracis-28387	60	6	of	of	ADP
bracis-28387	60	7	each	each	DET
bracis-28387	60	8	approach	approach	NOUN
bracis-28387	60	9	can	can	AUX
bracis-28387	60	10	be	be	AUX
bracis-28387	60	11	seen	see	VERB
bracis-28387	60	12	in	in	ADP
bracis-28387	60	13	table	table	NOUN
bracis-28387	60	14	 	 	SPACE
bracis-28387	60	15	1	1	NUM
bracis-28387	60	16	.	.	PUNCT
bracis-28387	60	17	table	table	NOUN
bracis-28387	60	18	1	1	NUM
bracis-28387	60	19	.	.	PUNCT
bracis-28387	60	20	performance	performance	NOUN
bracis-28387	60	21	of	of	ADP
bracis-28387	60	22	brain	brain	NOUN
bracis-28387	60	23	age	age	NOUN
bracis-28387	60	24	prediction	prediction	NOUN
bracis-28387	60	25	methods	method	NOUN
bracis-28387	60	26	on	on	ADP
bracis-28387	60	27	mris	mris	PROPN
bracis-28387	60	28	from	from	ADP
bracis-28387	60	29	adni	adni	PROPN
bracis-28387	60	30	.	.	PUNCT
bracis-28387	61	1	the	the	DET
bracis-28387	61	2	authors	author	NOUN
bracis-28387	61	3	have	have	AUX
bracis-28387	61	4	not	not	PART
bracis-28387	61	5	disclosed	disclose	VERB
bracis-28387	61	6	from	from	ADP
bracis-28387	61	7	which	which	PRON
bracis-28387	61	8	phases	phase	NOUN
bracis-28387	61	9	of	of	ADP
bracis-28387	61	10	the	the	DET
bracis-28387	61	11	adni	adni	PROPN
bracis-28387	61	12	study	study	NOUN
bracis-28387	61	13	the	the	DET
bracis-28387	61	14	subjects	subject	NOUN
bracis-28387	61	15	were	be	AUX
bracis-28387	61	16	drawn	draw	VERB
bracis-28387	61	17	.	.	PUNCT
bracis-28387	62	1	a\(\beta	a\(\beta	ADV
bracis-28387	62	2	\)(-	\)(-	NUM
bracis-28387	62	3	)	)	PUNCT
bracis-28387	62	4	indicates	indicate	VERB
bracis-28387	62	5	that	that	SCONJ
bracis-28387	62	6	the	the	DET
bracis-28387	62	7	subjects	subject	NOUN
bracis-28387	62	8	have	have	AUX
bracis-28387	62	9	sustained	sustain	VERB
bracis-28387	62	10	a	a	DET
bracis-28387	62	11	negative	negative	ADJ
bracis-28387	62	12	amyloid	amyloid	NOUN
bracis-28387	62	13	beta	beta	NOUN
bracis-28387	62	14	status	status	NOUN
bracis-28387	62	15	over	over	ADP
bracis-28387	62	16	3	3	NUM
bracis-28387	62	17	years.full	years.full	NUM
bracis-28387	62	18	size	size	NOUN
bracis-28387	62	19	table	table	NOUN
bracis-28387	62	20	overall	overall	ADV
bracis-28387	62	21	,	,	PUNCT
bracis-28387	62	22	these	these	DET
bracis-28387	62	23	studies	study	NOUN
bracis-28387	62	24	demonstrate	demonstrate	VERB
bracis-28387	62	25	the	the	DET
bracis-28387	62	26	potential	potential	NOUN
bracis-28387	62	27	of	of	ADP
bracis-28387	62	28	pre	pre	NOUN
bracis-28387	62	29	-	-	NOUN
bracis-28387	62	30	training	training	NOUN
bracis-28387	62	31	for	for	ADP
bracis-28387	62	32	brain	brain	NOUN
bracis-28387	62	33	age	age	NOUN
bracis-28387	62	34	prediction	prediction	NOUN
bracis-28387	62	35	and	and	CCONJ
bracis-28387	62	36	the	the	DET
bracis-28387	62	37	need	need	NOUN
bracis-28387	62	38	for	for	ADP
bracis-28387	62	39	more	more	ADV
bracis-28387	62	40	efficient	efficient	ADJ
bracis-28387	62	41	training	training	NOUN
bracis-28387	62	42	strategies	strategy	NOUN
bracis-28387	62	43	,	,	PUNCT
bracis-28387	62	44	as	as	ADP
bracis-28387	62	45	acquiring	acquire	VERB
bracis-28387	62	46	medical	medical	ADJ
bracis-28387	62	47	imaging	imaging	NOUN
bracis-28387	62	48	data	datum	NOUN
bracis-28387	62	49	is	be	AUX
bracis-28387	62	50	very	very	ADV
bracis-28387	62	51	laborious.footnote	laborious.footnote	ADJ
bracis-28387	62	52	1	1	NUM
bracis-28387	62	53	none	none	NOUN
bracis-28387	62	54	of	of	ADP
bracis-28387	62	55	them	they	PRON
bracis-28387	62	56	,	,	PUNCT
bracis-28387	62	57	however	however	ADV
bracis-28387	62	58	,	,	PUNCT
bracis-28387	62	59	took	take	VERB
bracis-28387	62	60	advantage	advantage	NOUN
bracis-28387	62	61	of	of	ADP
bracis-28387	62	62	models	model	NOUN
bracis-28387	62	63	trained	train	VERB
bracis-28387	62	64	for	for	ADP
bracis-28387	62	65	other	other	ADJ
bracis-28387	62	66	brain	brain	NOUN
bracis-28387	62	67	-	-	PUNCT
bracis-28387	62	68	related	relate	VERB
bracis-28387	62	69	tasks	task	NOUN
bracis-28387	62	70	,	,	PUNCT
bracis-28387	62	71	such	such	ADJ
bracis-28387	62	72	as	as	ADP
bracis-28387	62	73	brain	brain	NOUN
bracis-28387	62	74	tumor	tumor	NOUN
bracis-28387	62	75	segmentation	segmentation	NOUN
bracis-28387	62	76	.	.	PUNCT
bracis-28387	63	1	previous	previous	ADJ
bracis-28387	63	2	works	work	NOUN
bracis-28387	63	3	also	also	ADV
bracis-28387	63	4	lack	lack	VERB
bracis-28387	63	5	a	a	DET
bracis-28387	63	6	standardized	standardized	ADJ
bracis-28387	63	7	dataset	dataset	NOUN
bracis-28387	63	8	on	on	ADP
bracis-28387	63	9	which	which	PRON
bracis-28387	63	10	we	we	PRON
bracis-28387	63	11	could	could	AUX
bracis-28387	63	12	perform	perform	VERB
bracis-28387	63	13	a	a	DET
bracis-28387	63	14	fair	fair	ADJ
bracis-28387	63	15	comparison	comparison	NOUN
bracis-28387	63	16	,	,	PUNCT
bracis-28387	63	17	either	either	ADV
bracis-28387	63	18	because	because	SCONJ
bracis-28387	63	19	they	they	PRON
bracis-28387	63	20	use	use	VERB
bracis-28387	63	21	private	private	ADJ
bracis-28387	63	22	datasets	dataset	NOUN
bracis-28387	63	23	or	or	CCONJ
bracis-28387	63	24	because	because	SCONJ
bracis-28387	63	25	they	they	PRON
bracis-28387	63	26	do	do	AUX
bracis-28387	63	27	not	not	PART
bracis-28387	63	28	share	share	VERB
bracis-28387	63	29	which	which	DET
bracis-28387	63	30	samples	sample	NOUN
bracis-28387	63	31	were	be	AUX
bracis-28387	63	32	used	use	VERB
bracis-28387	63	33	for	for	ADP
bracis-28387	63	34	training	training	NOUN
bracis-28387	63	35	or	or	CCONJ
bracis-28387	63	36	testing	testing	NOUN
bracis-28387	63	37	.	.	PUNCT
bracis-28387	64	1	therefore	therefore	ADV
bracis-28387	64	2	,	,	PUNCT
bracis-28387	64	3	our	our	PRON
bracis-28387	64	4	paper	paper	NOUN
bracis-28387	64	5	stands	stand	VERB
bracis-28387	64	6	out	out	ADP
bracis-28387	64	7	by	by	ADP
bracis-28387	64	8	comparing	compare	VERB
bracis-28387	64	9	brain	brain	NOUN
bracis-28387	64	10	age	age	NOUN
bracis-28387	64	11	models	model	NOUN
bracis-28387	64	12	pre	pre	VERB
bracis-28387	64	13	-	-	VERB
bracis-28387	64	14	trained	train	VERB
bracis-28387	64	15	on	on	ADP
bracis-28387	64	16	brain	brain	NOUN
bracis-28387	64	17	tumor	tumor	NOUN
bracis-28387	64	18	segmentation	segmentation	NOUN
bracis-28387	64	19	to	to	ADP
bracis-28387	64	20	models	model	NOUN
bracis-28387	64	21	without	without	ADP
bracis-28387	64	22	pre	pre	ADJ
bracis-28387	64	23	-	-	ADJ
bracis-28387	64	24	training	training	ADJ
bracis-28387	64	25	or	or	CCONJ
bracis-28387	64	26	pre	pre	VERB
bracis-28387	64	27	-	-	VERB
bracis-28387	64	28	trained	train	VERB
bracis-28387	64	29	on	on	ADP
bracis-28387	64	30	natural	natural	ADJ
bracis-28387	64	31	image	image	NOUN
bracis-28387	64	32	classification	classification	NOUN
bracis-28387	64	33	.	.	PUNCT
bracis-28387	65	1	furthermore	furthermore	ADV
bracis-28387	65	2	,	,	PUNCT
bracis-28387	65	3	we	we	PRON
bracis-28387	65	4	experimented	experiment	VERB
bracis-28387	65	5	on	on	ADP
bracis-28387	65	6	a	a	DET
bracis-28387	65	7	standardized	standardized	ADJ
bracis-28387	65	8	and	and	CCONJ
bracis-28387	65	9	publicly	publicly	ADV
bracis-28387	65	10	available	available	ADJ
bracis-28387	65	11	dataset	dataset	NOUN
bracis-28387	65	12	,	,	PUNCT
bracis-28387	65	13	providing	provide	VERB
bracis-28387	65	14	reproducible	reproducible	ADJ
bracis-28387	65	15	results	result	NOUN
bracis-28387	65	16	.	.	PUNCT
bracis-28387	66	1	3	3	NUM
bracis-28387	66	2	materials	material	NOUN
bracis-28387	66	3	and	and	CCONJ
bracis-28387	66	4	 	 	SPACE
bracis-28387	66	5	methods	method	NOUN
bracis-28387	66	6	3.1	3.1	NUM
bracis-28387	66	7	data	datum	NOUN
bracis-28387	66	8	adni	adni	NOUN
bracis-28387	66	9	.	.	PUNCT
bracis-28387	67	1	the	the	DET
bracis-28387	67	2	alzheimer	alzheimer	PROPN
bracis-28387	67	3	’s	’s	PART
bracis-28387	67	4	disease	disease	NOUN
bracis-28387	67	5	neuroimaging	neuroimaging	NOUN
bracis-28387	67	6	initiative	initiative	NOUN
bracis-28387	67	7	(	(	PUNCT
bracis-28387	67	8	adni	adni	NOUN
bracis-28387	67	9	)	)	PUNCT
bracis-28387	67	10	was	be	AUX
bracis-28387	67	11	launched	launch	VERB
bracis-28387	67	12	in	in	ADP
bracis-28387	67	13	2003	2003	NUM
bracis-28387	67	14	with	with	ADP
bracis-28387	67	15	the	the	DET
bracis-28387	67	16	primary	primary	ADJ
bracis-28387	67	17	goal	goal	NOUN
bracis-28387	67	18	of	of	ADP
bracis-28387	67	19	testing	test	VERB
bracis-28387	67	20	whether	whether	SCONJ
bracis-28387	67	21	serial	serial	ADJ
bracis-28387	67	22	mri	mri	NOUN
bracis-28387	67	23	,	,	PUNCT
bracis-28387	67	24	positron	positron	NOUN
bracis-28387	67	25	emission	emission	NOUN
bracis-28387	67	26	tomography	tomography	NOUN
bracis-28387	67	27	(	(	PUNCT
bracis-28387	67	28	pet	pet	NOUN
bracis-28387	67	29	)	)	PUNCT
bracis-28387	67	30	,	,	PUNCT
bracis-28387	67	31	other	other	ADJ
bracis-28387	67	32	biological	biological	ADJ
bracis-28387	67	33	markers	marker	NOUN
bracis-28387	67	34	,	,	PUNCT
bracis-28387	67	35	and	and	CCONJ
bracis-28387	67	36	clinical	clinical	ADJ
bracis-28387	67	37	and	and	CCONJ
bracis-28387	67	38	neuropsychological	neuropsychological	ADJ
bracis-28387	67	39	assessment	assessment	NOUN
bracis-28387	67	40	can	can	AUX
bracis-28387	67	41	be	be	AUX
bracis-28387	67	42	combined	combine	VERB
bracis-28387	67	43	to	to	PART
bracis-28387	67	44	measure	measure	VERB
bracis-28387	67	45	the	the	DET
bracis-28387	67	46	progression	progression	NOUN
bracis-28387	67	47	of	of	ADP
bracis-28387	67	48	mild	mild	ADJ
bracis-28387	67	49	cognitive	cognitive	ADJ
bracis-28387	67	50	impairment	impairment	NOUN
bracis-28387	67	51	(	(	PUNCT
bracis-28387	67	52	mci	mci	NOUN
bracis-28387	67	53	)	)	PUNCT
bracis-28387	67	54	and	and	CCONJ
bracis-28387	67	55	early	early	PROPN
bracis-28387	67	56	alzheimer	alzheimer	PROPN
bracis-28387	67	57	’s	’s	PART
bracis-28387	67	58	disease	disease	NOUN
bracis-28387	67	59	(	(	PUNCT
bracis-28387	67	60	ad	ad	NOUN
bracis-28387	67	61	)	)	PUNCT
bracis-28387	67	62	 	 	SPACE
bracis-28387	68	1	[	[	X
bracis-28387	68	2	28	28	NUM
bracis-28387	68	3	]	]	PUNCT
bracis-28387	68	4	.	.	PUNCT
bracis-28387	69	1	the	the	DET
bracis-28387	69	2	adni	adni	PROPN
bracis-28387	69	3	database	database	NOUN
bracis-28387	69	4	contains	contain	VERB
bracis-28387	69	5	longitudinal	longitudinal	ADJ
bracis-28387	69	6	data	datum	NOUN
bracis-28387	69	7	from	from	ADP
bracis-28387	69	8	clinical	clinical	ADJ
bracis-28387	69	9	evaluations	evaluation	NOUN
bracis-28387	69	10	,	,	PUNCT
bracis-28387	69	11	cognitive	cognitive	ADJ
bracis-28387	69	12	tests	test	NOUN
bracis-28387	69	13	,	,	PUNCT
bracis-28387	69	14	biological	biological	ADJ
bracis-28387	69	15	samples	sample	NOUN
bracis-28387	69	16	,	,	PUNCT
bracis-28387	69	17	and	and	CCONJ
bracis-28387	69	18	various	various	ADJ
bracis-28387	69	19	types	type	NOUN
bracis-28387	69	20	of	of	ADP
bracis-28387	69	21	imaging	imaging	NOUN
bracis-28387	69	22	data	datum	NOUN
bracis-28387	69	23	,	,	PUNCT
bracis-28387	69	24	including	include	VERB
bracis-28387	69	25	mri	mri	NOUN
bracis-28387	69	26	,	,	PUNCT
bracis-28387	69	27	functional	functional	ADJ
bracis-28387	69	28	mri	mri	NOUN
bracis-28387	69	29	and	and	CCONJ
bracis-28387	69	30	pet	pet	NOUN
bracis-28387	69	31	.	.	PUNCT
bracis-28387	70	1	for	for	ADP
bracis-28387	70	2	up	up	ADP
bracis-28387	70	3	-	-	PUNCT
bracis-28387	70	4	to	to	ADP
bracis-28387	70	5	-	-	PUNCT
bracis-28387	70	6	date	date	NOUN
bracis-28387	70	7	information	information	NOUN
bracis-28387	70	8	,	,	PUNCT
bracis-28387	70	9	see	see	VERB
bracis-28387	70	10	https://adni.loni.usc.edu	https://adni.loni.usc.edu	PROPN
bracis-28387	70	11	.	.	PUNCT
bracis-28387	71	1	the	the	DET
bracis-28387	71	2	study	study	NOUN
bracis-28387	71	3	’s	’s	PART
bracis-28387	71	4	data	datum	NOUN
bracis-28387	71	5	has	have	AUX
bracis-28387	71	6	been	be	AUX
bracis-28387	71	7	collected	collect	VERB
bracis-28387	71	8	over	over	ADP
bracis-28387	71	9	several	several	ADJ
bracis-28387	71	10	phases	phase	NOUN
bracis-28387	71	11	:	:	PUNCT
bracis-28387	71	12	adni-1	adni-1	NUM
bracis-28387	71	13	,	,	PUNCT
bracis-28387	71	14	adni	adni	NOUN
bracis-28387	71	15	-	-	PUNCT
bracis-28387	71	16	go	go	NOUN
bracis-28387	71	17	,	,	PUNCT
bracis-28387	71	18	adni-2	adni-2	ADJ
bracis-28387	71	19	,	,	PUNCT
bracis-28387	71	20	and	and	CCONJ
bracis-28387	71	21	adni-3	adni-3	NUM
bracis-28387	71	22	.	.	PUNCT
bracis-28387	72	1	the	the	DET
bracis-28387	72	2	dataset	dataset	NOUN
bracis-28387	72	3	contains	contain	VERB
bracis-28387	72	4	cohorts	cohort	NOUN
bracis-28387	72	5	of	of	ADP
bracis-28387	72	6	individuals	individual	NOUN
bracis-28387	72	7	with	with	ADP
bracis-28387	72	8	ad	ad	NOUN
bracis-28387	72	9	,	,	PUNCT
bracis-28387	72	10	mci	mci	NOUN
bracis-28387	72	11	,	,	PUNCT
bracis-28387	72	12	and	and	CCONJ
bracis-28387	72	13	healthy	healthy	ADJ
bracis-28387	72	14	controls	control	NOUN
bracis-28387	72	15	(	(	PUNCT
bracis-28387	72	16	cognitively	cognitively	ADV
bracis-28387	72	17	normal	normal	ADJ
bracis-28387	72	18	,	,	PUNCT
bracis-28387	72	19	cn	cn	PROPN
bracis-28387	72	20	)	)	PUNCT
bracis-28387	72	21	.	.	PUNCT
bracis-28387	73	1	furthermore	furthermore	ADV
bracis-28387	73	2	,	,	PUNCT
bracis-28387	73	3	all	all	DET
bracis-28387	73	4	exams	exam	NOUN
bracis-28387	73	5	underwent	undergo	VERB
bracis-28387	73	6	quality	quality	NOUN
bracis-28387	73	7	control	control	NOUN
bracis-28387	73	8	for	for	ADP
bracis-28387	73	9	the	the	DET
bracis-28387	73	10	image	image	NOUN
bracis-28387	73	11	quality	quality	NOUN
bracis-28387	73	12	(	(	PUNCT
bracis-28387	73	13	e.g.	e.g.	ADV
bracis-28387	73	14	,	,	PUNCT
bracis-28387	73	15	subject	subject	ADJ
bracis-28387	73	16	motion	motion	NOUN
bracis-28387	73	17	,	,	PUNCT
bracis-28387	73	18	anatomic	anatomic	ADJ
bracis-28387	73	19	coverage	coverage	NOUN
bracis-28387	73	20	)	)	PUNCT
bracis-28387	73	21	.	.	PUNCT
bracis-28387	74	1	in	in	ADP
bracis-28387	74	2	this	this	DET
bracis-28387	74	3	paper	paper	NOUN
bracis-28387	74	4	,	,	PUNCT
bracis-28387	74	5	we	we	PRON
bracis-28387	74	6	employed	employ	VERB
bracis-28387	74	7	available	available	ADJ
bracis-28387	74	8	mprage	mprage	NOUN
bracis-28387	74	9	t1	t1	PROPN
bracis-28387	74	10	-	-	PUNCT
bracis-28387	74	11	weighted	weight	VERB
bracis-28387	74	12	mris	mris	NOUN
bracis-28387	74	13	from	from	ADP
bracis-28387	74	14	all	all	DET
bracis-28387	74	15	phases	phase	NOUN
bracis-28387	74	16	,	,	PUNCT
bracis-28387	74	17	filtering	filter	VERB
bracis-28387	74	18	out	out	ADP
bracis-28387	74	19	images	image	NOUN
bracis-28387	74	20	deemed	deem	VERB
bracis-28387	74	21	“	"	PUNCT
bracis-28387	74	22	unusable	unusable	ADJ
bracis-28387	74	23	”	"	PUNCT
bracis-28387	74	24	by	by	ADP
bracis-28387	74	25	the	the	DET
bracis-28387	74	26	quality	quality	NOUN
bracis-28387	74	27	control	control	NOUN
bracis-28387	74	28	assessment	assessment	NOUN
bracis-28387	74	29	.	.	PUNCT
bracis-28387	75	1	the	the	DET
bracis-28387	75	2	images	image	NOUN
bracis-28387	75	3	are	be	AUX
bracis-28387	75	4	available	available	ADJ
bracis-28387	75	5	after	after	ADP
bracis-28387	75	6	gradient	gradient	ADJ
bracis-28387	75	7	non	non	ADJ
bracis-28387	75	8	-	-	ADJ
bracis-28387	75	9	linearity	linearity	ADJ
bracis-28387	75	10	and	and	CCONJ
bracis-28387	75	11	intensity	intensity	NOUN
bracis-28387	75	12	inhomogeneity	inhomogeneity	NOUN
bracis-28387	75	13	correction	correction	NOUN
bracis-28387	75	14	,	,	PUNCT
bracis-28387	75	15	when	when	SCONJ
bracis-28387	75	16	necessary	necessary	ADJ
bracis-28387	75	17	.	.	PUNCT
bracis-28387	76	1	an	an	DET
bracis-28387	76	2	overview	overview	NOUN
bracis-28387	76	3	of	of	ADP
bracis-28387	76	4	the	the	DET
bracis-28387	76	5	demographics	demographic	NOUN
bracis-28387	76	6	from	from	ADP
bracis-28387	76	7	each	each	DET
bracis-28387	76	8	dataset	dataset	NOUN
bracis-28387	76	9	can	can	AUX
bracis-28387	76	10	be	be	AUX
bracis-28387	76	11	seen	see	VERB
bracis-28387	76	12	in	in	ADP
bracis-28387	76	13	table	table	NOUN
bracis-28387	76	14	 	 	SPACE
bracis-28387	76	15	2	2	NUM
bracis-28387	76	16	.	.	PUNCT
bracis-28387	76	17	more	more	ADV
bracis-28387	76	18	detailed	detailed	ADJ
bracis-28387	76	19	information	information	NOUN
bracis-28387	76	20	on	on	ADP
bracis-28387	76	21	the	the	DET
bracis-28387	76	22	images	image	NOUN
bracis-28387	76	23	from	from	ADP
bracis-28387	76	24	adni-1	adni-1	NUM
bracis-28387	76	25	used	use	VERB
bracis-28387	76	26	in	in	ADP
bracis-28387	76	27	this	this	DET
bracis-28387	76	28	work	work	NOUN
bracis-28387	76	29	can	can	AUX
bracis-28387	76	30	be	be	AUX
bracis-28387	76	31	found	find	VERB
bracis-28387	76	32	in	in	ADP
bracis-28387	76	33	wyman	wyman	PROPN
bracis-28387	76	34	et	et	PROPN
bracis-28387	76	35	al	al	PROPN
bracis-28387	76	36	.	.	PUNCT
bracis-28387	77	1	[	[	X
bracis-28387	77	2	35	35	NUM
bracis-28387	77	3	]	]	PUNCT
bracis-28387	77	4	.	.	PUNCT
bracis-28387	78	1	table	table	NOUN
bracis-28387	78	2	2	2	NUM
bracis-28387	78	3	.	.	X
bracis-28387	78	4	overview	overview	NOUN
bracis-28387	78	5	of	of	ADP
bracis-28387	78	6	the	the	DET
bracis-28387	78	7	subjects	subject	NOUN
bracis-28387	78	8	from	from	ADP
bracis-28387	78	9	the	the	DET
bracis-28387	78	10	adni	adni	PROPN
bracis-28387	78	11	database	database	NOUN
bracis-28387	78	12	whose	whose	DET
bracis-28387	78	13	images	image	NOUN
bracis-28387	78	14	were	be	AUX
bracis-28387	78	15	used	use	VERB
bracis-28387	78	16	in	in	ADP
bracis-28387	78	17	this	this	DET
bracis-28387	78	18	work	work	NOUN
bracis-28387	78	19	.	.	PUNCT
bracis-28387	79	1	age	age	NOUN
bracis-28387	79	2	is	be	AUX
bracis-28387	79	3	considered	consider	VERB
bracis-28387	79	4	at	at	ADP
bracis-28387	79	5	the	the	DET
bracis-28387	79	6	time	time	NOUN
bracis-28387	79	7	of	of	ADP
bracis-28387	79	8	the	the	DET
bracis-28387	79	9	first	first	ADJ
bracis-28387	79	10	visit.full	visit.full	NUM
bracis-28387	79	11	size	size	NOUN
bracis-28387	79	12	table	table	NOUN
bracis-28387	79	13	brats	brat	NOUN
bracis-28387	79	14	.	.	PUNCT
bracis-28387	80	1	the	the	DET
bracis-28387	80	2	brain	brain	NOUN
bracis-28387	80	3	tumor	tumor	NOUN
bracis-28387	80	4	segmentation	segmentation	NOUN
bracis-28387	80	5	challenge	challenge	NOUN
bracis-28387	80	6	(	(	PUNCT
bracis-28387	80	7	brats	brat	NOUN
bracis-28387	80	8	)	)	PUNCT
bracis-28387	80	9	 	 	SPACE
bracis-28387	81	1	[	[	X
bracis-28387	81	2	25	25	NUM
bracis-28387	81	3	]	]	PUNCT
bracis-28387	81	4	provides	provide	VERB
bracis-28387	81	5	a	a	DET
bracis-28387	81	6	dataset	dataset	NOUN
bracis-28387	81	7	of	of	ADP
bracis-28387	81	8	structural	structural	ADJ
bracis-28387	81	9	brain	brain	NOUN
bracis-28387	81	10	mris	mris	NOUN
bracis-28387	81	11	along	along	ADV
bracis-28387	81	12	with	with	ADP
bracis-28387	81	13	expert	expert	ADJ
bracis-28387	81	14	annotations	annotation	NOUN
bracis-28387	81	15	of	of	ADP
bracis-28387	81	16	tumorous	tumorous	ADJ
bracis-28387	81	17	regions	region	NOUN
bracis-28387	81	18	 	 	SPACE
bracis-28387	82	1	[	[	X
bracis-28387	82	2	2	2	NUM
bracis-28387	82	3	]	]	PUNCT
bracis-28387	82	4	.	.	PUNCT
bracis-28387	83	1	for	for	ADP
bracis-28387	83	2	each	each	DET
bracis-28387	83	3	subject	subject	NOUN
bracis-28387	83	4	,	,	PUNCT
bracis-28387	83	5	four	four	NUM
bracis-28387	83	6	mri	mri	NOUN
bracis-28387	83	7	scan	scan	NOUN
bracis-28387	83	8	modalities	modality	NOUN
bracis-28387	83	9	are	be	AUX
bracis-28387	83	10	available	available	ADJ
bracis-28387	83	11	:	:	PUNCT
bracis-28387	83	12	t1	t1	NOUN
bracis-28387	83	13	-	-	PUNCT
bracis-28387	83	14	weighted	weighted	ADJ
bracis-28387	83	15	,	,	PUNCT
bracis-28387	83	16	contrast	contrast	NOUN
bracis-28387	83	17	-	-	PUNCT
bracis-28387	83	18	enhanced	enhance	VERB
bracis-28387	83	19	t1	t1	NOUN
bracis-28387	83	20	-	-	PUNCT
bracis-28387	83	21	weighted	weight	VERB
bracis-28387	83	22	,	,	PUNCT
bracis-28387	83	23	t2	t2	NOUN
bracis-28387	83	24	-	-	PUNCT
bracis-28387	83	25	weighted	weight	VERB
bracis-28387	83	26	,	,	PUNCT
bracis-28387	83	27	and	and	CCONJ
bracis-28387	83	28	t2	t2	NOUN
bracis-28387	83	29	-	-	PUNCT
bracis-28387	83	30	flair	flair	NOUN
bracis-28387	83	31	.	.	PUNCT
bracis-28387	84	1	all	all	DET
bracis-28387	84	2	images	image	NOUN
bracis-28387	84	3	are	be	AUX
bracis-28387	84	4	available	available	ADJ
bracis-28387	84	5	after	after	ADP
bracis-28387	84	6	preprocessing	preprocesse	VERB
bracis-28387	84	7	(	(	PUNCT
bracis-28387	84	8	registration	registration	NOUN
bracis-28387	84	9	to	to	ADP
bracis-28387	84	10	a	a	DET
bracis-28387	84	11	common	common	ADJ
bracis-28387	84	12	atlas	atlas	PROPN
bracis-28387	84	13	,	,	PUNCT
bracis-28387	84	14	interpolation	interpolation	NOUN
bracis-28387	84	15	to	to	ADP
bracis-28387	84	16	1	1	NUM
bracis-28387	84	17	 	 	SPACE
bracis-28387	84	18	mm\(^{3}\	mm\(^{3}\	PROPN
bracis-28387	84	19	)	)	PUNCT
bracis-28387	84	20	,	,	PUNCT
bracis-28387	84	21	and	and	CCONJ
bracis-28387	84	22	skull	skull	NOUN
bracis-28387	84	23	-	-	PUNCT
bracis-28387	84	24	stripping	stripping	NOUN
bracis-28387	84	25	)	)	PUNCT
bracis-28387	84	26	 	 	SPACE
bracis-28387	85	1	[	[	X
bracis-28387	85	2	3	3	NUM
bracis-28387	85	3	]	]	PUNCT
bracis-28387	85	4	.	.	PUNCT
bracis-28387	86	1	in	in	ADP
bracis-28387	86	2	the	the	DET
bracis-28387	86	3	2020	2020	NUM
bracis-28387	86	4	editionfootnote	editionfootnote	ADJ
bracis-28387	86	5	2	2	NUM
bracis-28387	86	6	,	,	PUNCT
bracis-28387	86	7	the	the	DET
bracis-28387	86	8	dataset	dataset	NOUN
bracis-28387	86	9	contained	contain	VERB
bracis-28387	86	10	369	369	NUM
bracis-28387	86	11	images	image	NOUN
bracis-28387	86	12	from	from	ADP
bracis-28387	86	13	subjects	subject	NOUN
bracis-28387	86	14	aged	age	VERB
bracis-28387	86	15	18	18	NUM
bracis-28387	86	16	to	to	PART
bracis-28387	86	17	86	86	NUM
bracis-28387	86	18	(	(	PUNCT
bracis-28387	86	19	avg	avg	NOUN
bracis-28387	86	20	.	.	PROPN
bracis-28387	86	21	of	of	ADP
bracis-28387	86	22	61.2	61.2	NUM
bracis-28387	86	23	)	)	PUNCT
bracis-28387	86	24	.	.	PUNCT
bracis-28387	87	1	3.2	3.2	NUM
bracis-28387	87	2	preprocessing	preprocesse	VERB
bracis-28387	87	3	we	we	PRON
bracis-28387	87	4	applied	apply	VERB
bracis-28387	87	5	minimal	minimal	ADJ
bracis-28387	87	6	preprocessing	preprocessing	NOUN
bracis-28387	87	7	to	to	ADP
bracis-28387	87	8	the	the	DET
bracis-28387	87	9	adni	adni	ADJ
bracis-28387	87	10	images	image	NOUN
bracis-28387	87	11	.	.	PUNCT
bracis-28387	88	1	our	our	PRON
bracis-28387	88	2	major	major	ADJ
bracis-28387	88	3	goal	goal	NOUN
bracis-28387	88	4	was	be	AUX
bracis-28387	88	5	to	to	PART
bracis-28387	88	6	ensure	ensure	VERB
bracis-28387	88	7	all	all	DET
bracis-28387	88	8	images	image	NOUN
bracis-28387	88	9	would	would	AUX
bracis-28387	88	10	have	have	VERB
bracis-28387	88	11	the	the	DET
bracis-28387	88	12	same	same	ADJ
bracis-28387	88	13	orientation	orientation	NOUN
bracis-28387	88	14	and	and	CCONJ
bracis-28387	88	15	spatial	spatial	ADJ
bracis-28387	88	16	resolution	resolution	NOUN
bracis-28387	88	17	,	,	PUNCT
bracis-28387	88	18	and	and	CCONJ
bracis-28387	88	19	that	that	SCONJ
bracis-28387	88	20	they	they	PRON
bracis-28387	88	21	would	would	AUX
bracis-28387	88	22	present	present	VERB
bracis-28387	88	23	no	no	DET
bracis-28387	88	24	skull	skull	NOUN
bracis-28387	88	25	or	or	CCONJ
bracis-28387	88	26	non	non	ADJ
bracis-28387	88	27	-	-	ADJ
bracis-28387	88	28	brain	brain	ADJ
bracis-28387	88	29	-	-	PUNCT
bracis-28387	88	30	tissue	tissue	NOUN
bracis-28387	88	31	information	information	NOUN
bracis-28387	88	32	,	,	PUNCT
bracis-28387	88	33	i.e.	i.e.	X
bracis-28387	88	34	,	,	PUNCT
bracis-28387	88	35	only	only	ADV
bracis-28387	88	36	brain	brain	NOUN
bracis-28387	88	37	voxels	voxel	NOUN
bracis-28387	88	38	would	would	AUX
bracis-28387	88	39	be	be	AUX
bracis-28387	88	40	present	present	ADJ
bracis-28387	88	41	in	in	ADP
bracis-28387	88	42	the	the	DET
bracis-28387	88	43	image	image	NOUN
bracis-28387	88	44	.	.	PUNCT
bracis-28387	89	1	only	only	ADV
bracis-28387	89	2	the	the	DET
bracis-28387	89	3	brain	brain	NOUN
bracis-28387	89	4	information	information	NOUN
bracis-28387	89	5	must	must	AUX
bracis-28387	89	6	be	be	AUX
bracis-28387	89	7	available	available	ADJ
bracis-28387	89	8	in	in	ADP
bracis-28387	89	9	the	the	DET
bracis-28387	89	10	image	image	NOUN
bracis-28387	89	11	,	,	PUNCT
bracis-28387	89	12	otherwise	otherwise	ADV
bracis-28387	89	13	,	,	PUNCT
bracis-28387	89	14	the	the	DET
bracis-28387	89	15	deep	deep	ADJ
bracis-28387	89	16	learning	learning	NOUN
bracis-28387	89	17	models	model	NOUN
bracis-28387	89	18	could	could	AUX
bracis-28387	89	19	learn	learn	VERB
bracis-28387	89	20	to	to	PART
bracis-28387	89	21	predict	predict	VERB
bracis-28387	89	22	the	the	DET
bracis-28387	89	23	age	age	NOUN
bracis-28387	89	24	based	base	VERB
bracis-28387	89	25	on	on	ADP
bracis-28387	89	26	other	other	ADJ
bracis-28387	89	27	structures	structure	NOUN
bracis-28387	89	28	.	.	PUNCT
bracis-28387	90	1	we	we	PRON
bracis-28387	90	2	register	register	VERB
bracis-28387	90	3	all	all	PRON
bracis-28387	90	4	adni	adni	PRON
bracis-28387	90	5	images	image	NOUN
bracis-28387	90	6	to	to	ADP
bracis-28387	90	7	the	the	DET
bracis-28387	90	8	mni152	mni152	PROPN
bracis-28387	90	9	template	template	NOUN
bracis-28387	90	10	,	,	PUNCT
bracis-28387	90	11	interpolate	interpolate	VERB
bracis-28387	90	12	to	to	ADP
bracis-28387	90	13	2	2	NUM
bracis-28387	90	14	 	 	SPACE
bracis-28387	90	15	mm\(^{3}\	mm\(^{3}\	PROPN
bracis-28387	90	16	)	)	PUNCT
bracis-28387	90	17	resolution	resolution	NOUN
bracis-28387	90	18	,	,	PUNCT
bracis-28387	90	19	and	and	CCONJ
bracis-28387	90	20	apply	apply	VERB
bracis-28387	90	21	skull	skull	NOUN
bracis-28387	90	22	-	-	PUNCT
bracis-28387	90	23	stripping	stripping	NOUN
bracis-28387	90	24	using	use	VERB
bracis-28387	90	25	hd	hd	NOUN
bracis-28387	90	26	-	-	PUNCT
bracis-28387	90	27	bet	bet	NOUN
bracis-28387	90	28	 	 	SPACE
bracis-28387	91	1	[	[	X
bracis-28387	91	2	16	16	NUM
bracis-28387	91	3	]	]	PUNCT
bracis-28387	91	4	.	.	PUNCT
bracis-28387	92	1	to	to	PART
bracis-28387	92	2	feed	feed	VERB
bracis-28387	92	3	the	the	DET
bracis-28387	92	4	preprocessed	preprocesse	VERB
bracis-28387	92	5	3d	3d	NUM
bracis-28387	92	6	mri	mri	NOUN
bracis-28387	92	7	scans	scan	NOUN
bracis-28387	92	8	to	to	ADP
bracis-28387	92	9	the	the	DET
bracis-28387	92	10	2d	2d	NUM
bracis-28387	92	11	brain	brain	NOUN
bracis-28387	92	12	age	age	NOUN
bracis-28387	92	13	models	model	NOUN
bracis-28387	92	14	,	,	PUNCT
bracis-28387	92	15	each	each	DET
bracis-28387	92	16	volume	volume	NOUN
bracis-28387	92	17	was	be	AUX
bracis-28387	92	18	sliced	slice	VERB
bracis-28387	92	19	through	through	ADP
bracis-28387	92	20	the	the	DET
bracis-28387	92	21	axial	axial	ADJ
bracis-28387	92	22	plane	plane	NOUN
bracis-28387	92	23	.	.	PUNCT
bracis-28387	93	1	we	we	PRON
bracis-28387	93	2	discard	discard	VERB
bracis-28387	93	3	the	the	DET
bracis-28387	93	4	slices	slice	NOUN
bracis-28387	93	5	from	from	ADP
bracis-28387	93	6	the	the	DET
bracis-28387	93	7	top	top	ADJ
bracis-28387	93	8	40	40	NUM
bracis-28387	93	9	 	 	SPACE
bracis-28387	93	10	mm	mm	PROPN
bracis-28387	93	11	and	and	CCONJ
bracis-28387	93	12	the	the	DET
bracis-28387	93	13	bottom	bottom	ADJ
bracis-28387	93	14	35	35	NUM
bracis-28387	93	15	 	 	SPACE
bracis-28387	93	16	mm	mm	NOUN
bracis-28387	93	17	of	of	ADP
bracis-28387	93	18	the	the	DET
bracis-28387	93	19	scan	scan	NOUN
bracis-28387	93	20	to	to	PART
bracis-28387	93	21	exclude	exclude	VERB
bracis-28387	93	22	slices	slice	NOUN
bracis-28387	93	23	with	with	ADP
bracis-28387	93	24	little	little	ADJ
bracis-28387	93	25	to	to	ADP
bracis-28387	93	26	no	no	DET
bracis-28387	93	27	brain	brain	NOUN
bracis-28387	93	28	information	information	NOUN
bracis-28387	93	29	.	.	PUNCT
bracis-28387	94	1	therefore	therefore	ADV
bracis-28387	94	2	,	,	PUNCT
bracis-28387	94	3	we	we	PRON
bracis-28387	94	4	extract	extract	VERB
bracis-28387	94	5	40	40	NUM
bracis-28387	94	6	images	image	NOUN
bracis-28387	94	7	from	from	ADP
bracis-28387	94	8	each	each	DET
bracis-28387	94	9	3d	3d	NUM
bracis-28387	94	10	mri	mri	NOUN
bracis-28387	94	11	scan	scan	NOUN
bracis-28387	94	12	.	.	PUNCT
bracis-28387	95	1	with	with	ADP
bracis-28387	95	2	respect	respect	NOUN
bracis-28387	95	3	to	to	ADP
bracis-28387	95	4	the	the	DET
bracis-28387	95	5	images	image	NOUN
bracis-28387	95	6	from	from	ADP
bracis-28387	95	7	the	the	DET
bracis-28387	95	8	brats	brat	NOUN
bracis-28387	95	9	dataset	dataset	VERB
bracis-28387	95	10	,	,	PUNCT
bracis-28387	95	11	no	no	ADV
bracis-28387	95	12	further	far	ADV
bracis-28387	95	13	(	(	PUNCT
bracis-28387	95	14	see	see	VERB
bracis-28387	95	15	sect	sect	NOUN
bracis-28387	95	16	.	.	PUNCT
bracis-28387	96	1	3.1	3.1	NUM
bracis-28387	96	2	)	)	PUNCT
bracis-28387	96	3	preprocessing	preprocessing	NOUN
bracis-28387	96	4	is	be	AUX
bracis-28387	96	5	performed	perform	VERB
bracis-28387	96	6	.	.	PUNCT
bracis-28387	97	1	we	we	PRON
bracis-28387	97	2	feed	feed	VERB
bracis-28387	97	3	all	all	DET
bracis-28387	97	4	slices	slice	NOUN
bracis-28387	97	5	of	of	ADP
bracis-28387	97	6	the	the	DET
bracis-28387	97	7	3d	3d	PROPN
bracis-28387	97	8	mri	mri	NOUN
bracis-28387	97	9	scan	scan	NOUN
bracis-28387	97	10	to	to	ADP
bracis-28387	97	11	the	the	DET
bracis-28387	97	12	deep	deep	ADJ
bracis-28387	97	13	learning	learning	NOUN
bracis-28387	97	14	models	model	NOUN
bracis-28387	97	15	.	.	PUNCT
bracis-28387	98	1	3.3	3.3	NUM
bracis-28387	98	2	deep	deep	ADJ
bracis-28387	98	3	learning	learning	NOUN
bracis-28387	98	4	models	model	NOUN
bracis-28387	98	5	we	we	PRON
bracis-28387	98	6	use	use	VERB
bracis-28387	98	7	2d	2d	NUM
bracis-28387	98	8	deep	deep	ADJ
bracis-28387	98	9	convolutional	convolutional	ADJ
bracis-28387	98	10	neural	neural	ADJ
bracis-28387	98	11	networks	network	NOUN
bracis-28387	98	12	for	for	ADP
bracis-28387	98	13	brain	brain	NOUN
bracis-28387	98	14	age	age	NOUN
bracis-28387	98	15	prediction	prediction	NOUN
bracis-28387	98	16	.	.	PUNCT
bracis-28387	99	1	our	our	PRON
bracis-28387	99	2	proposed	propose	VERB
bracis-28387	99	3	model	model	NOUN
bracis-28387	99	4	can	can	AUX
bracis-28387	99	5	be	be	AUX
bracis-28387	99	6	divided	divide	VERB
bracis-28387	99	7	into	into	ADP
bracis-28387	99	8	a	a	DET
bracis-28387	99	9	backbone	backbone	NOUN
bracis-28387	99	10	and	and	CCONJ
bracis-28387	99	11	a	a	DET
bracis-28387	99	12	head	head	NOUN
bracis-28387	99	13	.	.	PUNCT
bracis-28387	100	1	intuitively	intuitively	ADV
bracis-28387	100	2	,	,	PUNCT
bracis-28387	100	3	the	the	DET
bracis-28387	100	4	backbone	backbone	NOUN
bracis-28387	100	5	is	be	AUX
bracis-28387	100	6	responsible	responsible	ADJ
bracis-28387	100	7	for	for	ADP
bracis-28387	100	8	extracting	extract	VERB
bracis-28387	100	9	relevant	relevant	ADJ
bracis-28387	100	10	features	feature	NOUN
bracis-28387	100	11	from	from	ADP
bracis-28387	100	12	the	the	DET
bracis-28387	100	13	input	input	NOUN
bracis-28387	100	14	image	image	NOUN
bracis-28387	100	15	,	,	PUNCT
bracis-28387	100	16	while	while	SCONJ
bracis-28387	100	17	the	the	DET
bracis-28387	100	18	head	head	NOUN
bracis-28387	100	19	combines	combine	VERB
bracis-28387	100	20	these	these	DET
bracis-28387	100	21	features	feature	NOUN
bracis-28387	100	22	into	into	ADP
bracis-28387	100	23	the	the	DET
bracis-28387	100	24	final	final	ADJ
bracis-28387	100	25	prediction	prediction	NOUN
bracis-28387	100	26	.	.	PUNCT
bracis-28387	101	1	the	the	DET
bracis-28387	101	2	backbone	backbone	NOUN
bracis-28387	101	3	consists	consist	VERB
bracis-28387	101	4	of	of	ADP
bracis-28387	101	5	several	several	ADJ
bracis-28387	101	6	convolution	convolution	NOUN
bracis-28387	101	7	filters	filter	NOUN
bracis-28387	101	8	that	that	PRON
bracis-28387	101	9	reduce	reduce	VERB
bracis-28387	101	10	the	the	DET
bracis-28387	101	11	image	image	NOUN
bracis-28387	101	12	size	size	NOUN
bracis-28387	101	13	.	.	PUNCT
bracis-28387	102	1	the	the	DET
bracis-28387	102	2	head	head	NOUN
bracis-28387	102	3	is	be	AUX
bracis-28387	102	4	a	a	DET
bracis-28387	102	5	single	single	ADJ
bracis-28387	102	6	unit	unit	NOUN
bracis-28387	102	7	with	with	ADP
bracis-28387	102	8	linear	linear	ADJ
bracis-28387	102	9	activation	activation	NOUN
bracis-28387	102	10	that	that	PRON
bracis-28387	102	11	is	be	AUX
bracis-28387	102	12	fully	fully	ADV
bracis-28387	102	13	connected	connect	VERB
bracis-28387	102	14	to	to	ADP
bracis-28387	102	15	the	the	DET
bracis-28387	102	16	backbone	backbone	NOUN
bracis-28387	102	17	’s	’s	PART
bracis-28387	102	18	output	output	NOUN
bracis-28387	102	19	.	.	PUNCT
bracis-28387	103	1	figure	figure	NOUN
bracis-28387	103	2	 	 	SPACE
bracis-28387	103	3	1	1	NUM
bracis-28387	103	4	illustrates	illustrate	VERB
bracis-28387	103	5	our	our	PRON
bracis-28387	103	6	proposed	propose	VERB
bracis-28387	103	7	model	model	NOUN
bracis-28387	103	8	,	,	PUNCT
bracis-28387	103	9	highlighting	highlight	VERB
bracis-28387	103	10	both	both	CCONJ
bracis-28387	103	11	the	the	DET
bracis-28387	103	12	backbone	backbone	NOUN
bracis-28387	103	13	and	and	CCONJ
bracis-28387	103	14	the	the	DET
bracis-28387	103	15	head	head	NOUN
bracis-28387	103	16	.	.	PUNCT
bracis-28387	104	1	fig	fig	NOUN
bracis-28387	104	2	.	.	PUNCT
bracis-28387	105	1	1	1	X
bracis-28387	105	2	.	.	X
bracis-28387	105	3	illustration	illustration	NOUN
bracis-28387	105	4	of	of	ADP
bracis-28387	105	5	the	the	DET
bracis-28387	105	6	overall	overall	ADJ
bracis-28387	105	7	architecture	architecture	NOUN
bracis-28387	105	8	of	of	ADP
bracis-28387	105	9	our	our	PRON
bracis-28387	105	10	brain	brain	NOUN
bracis-28387	105	11	age	age	NOUN
bracis-28387	105	12	model	model	NOUN
bracis-28387	105	13	.	.	PUNCT
bracis-28387	106	1	the	the	DET
bracis-28387	106	2	backbone	backbone	NOUN
bracis-28387	106	3	is	be	AUX
bracis-28387	106	4	composed	compose	VERB
bracis-28387	106	5	of	of	ADP
bracis-28387	106	6	several	several	ADJ
bracis-28387	106	7	convolutional	convolutional	ADJ
bracis-28387	106	8	operations	operation	NOUN
bracis-28387	106	9	,	,	PUNCT
bracis-28387	106	10	extracted	extract	VERB
bracis-28387	106	11	from	from	ADP
bracis-28387	106	12	the	the	DET
bracis-28387	106	13	u	u	NOUN
bracis-28387	106	14	-	-	NOUN
bracis-28387	106	15	net	net	ADJ
bracis-28387	106	16	or	or	CCONJ
bracis-28387	106	17	the	the	DET
bracis-28387	106	18	resnet	resnet	NOUN
bracis-28387	106	19	architectures	architecture	NOUN
bracis-28387	106	20	.	.	PUNCT
bracis-28387	107	1	the	the	DET
bracis-28387	107	2	head	head	NOUN
bracis-28387	107	3	is	be	AUX
bracis-28387	107	4	a	a	DET
bracis-28387	107	5	fully	fully	ADV
bracis-28387	107	6	-	-	PUNCT
bracis-28387	107	7	connected	connect	VERB
bracis-28387	107	8	layer	layer	NOUN
bracis-28387	107	9	applied	apply	VERB
bracis-28387	107	10	to	to	ADP
bracis-28387	107	11	the	the	DET
bracis-28387	107	12	vectorized	vectorize	VERB
bracis-28387	107	13	values	value	NOUN
bracis-28387	107	14	of	of	ADP
bracis-28387	107	15	the	the	DET
bracis-28387	107	16	backbone	backbone	NOUN
bracis-28387	107	17	’s	’s	PART
bracis-28387	107	18	output	output	NOUN
bracis-28387	107	19	.	.	PUNCT
bracis-28387	108	1	full	full	ADJ
bracis-28387	108	2	size	size	NOUN
bracis-28387	108	3	image	image	NOUN
bracis-28387	108	4	even	even	ADV
bracis-28387	108	5	though	though	SCONJ
bracis-28387	108	6	the	the	DET
bracis-28387	108	7	architecture	architecture	NOUN
bracis-28387	108	8	of	of	ADP
bracis-28387	108	9	the	the	DET
bracis-28387	108	10	head	head	NOUN
bracis-28387	108	11	is	be	AUX
bracis-28387	108	12	task	task	NOUN
bracis-28387	108	13	-	-	PUNCT
bracis-28387	108	14	specific	specific	ADJ
bracis-28387	108	15	,	,	PUNCT
bracis-28387	108	16	the	the	DET
bracis-28387	108	17	backbone	backbone	NOUN
bracis-28387	108	18	’s	’s	PART
bracis-28387	108	19	architecture	architecture	NOUN
bracis-28387	108	20	depends	depend	VERB
bracis-28387	108	21	only	only	ADV
bracis-28387	108	22	on	on	ADP
bracis-28387	108	23	a	a	DET
bracis-28387	108	24	few	few	ADJ
bracis-28387	108	25	characteristics	characteristic	NOUN
bracis-28387	108	26	of	of	ADP
bracis-28387	108	27	the	the	DET
bracis-28387	108	28	input	input	NOUN
bracis-28387	108	29	(	(	PUNCT
bracis-28387	108	30	e.g.	e.g.	ADV
bracis-28387	108	31	,	,	PUNCT
bracis-28387	108	32	number	number	NOUN
bracis-28387	108	33	of	of	ADP
bracis-28387	108	34	channels	channel	NOUN
bracis-28387	108	35	,	,	PUNCT
bracis-28387	108	36	minimum	minimum	ADJ
bracis-28387	108	37	size	size	NOUN
bracis-28387	108	38	)	)	PUNCT
bracis-28387	108	39	.	.	PUNCT
bracis-28387	109	1	furthermore	furthermore	ADV
bracis-28387	109	2	,	,	PUNCT
bracis-28387	109	3	learned	learn	VERB
bracis-28387	109	4	features	feature	NOUN
bracis-28387	109	5	from	from	ADP
bracis-28387	109	6	one	one	NUM
bracis-28387	109	7	task	task	NOUN
bracis-28387	109	8	can	can	AUX
bracis-28387	109	9	be	be	AUX
bracis-28387	109	10	useful	useful	ADJ
bracis-28387	109	11	for	for	ADP
bracis-28387	109	12	another	another	PRON
bracis-28387	109	13	,	,	PUNCT
bracis-28387	109	14	at	at	ADP
bracis-28387	109	15	least	least	ADJ
bracis-28387	109	16	as	as	ADP
bracis-28387	109	17	a	a	DET
bracis-28387	109	18	starting	starting	NOUN
bracis-28387	109	19	point	point	NOUN
bracis-28387	109	20	,	,	PUNCT
bracis-28387	109	21	which	which	PRON
bracis-28387	109	22	is	be	AUX
bracis-28387	109	23	known	know	VERB
bracis-28387	109	24	as	as	ADP
bracis-28387	109	25	transfer	transfer	NOUN
bracis-28387	109	26	learning	learning	NOUN
bracis-28387	109	27	 	 	SPACE
bracis-28387	110	1	[	[	X
bracis-28387	110	2	31	31	NUM
bracis-28387	110	3	]	]	PUNCT
bracis-28387	110	4	.	.	PUNCT
bracis-28387	111	1	this	this	PRON
bracis-28387	111	2	allows	allow	VERB
bracis-28387	111	3	us	we	PRON
bracis-28387	111	4	to	to	PART
bracis-28387	111	5	reutilize	reutilize	VERB
bracis-28387	111	6	the	the	DET
bracis-28387	111	7	backbone	backbone	NOUN
bracis-28387	111	8	of	of	ADP
bracis-28387	111	9	models	model	NOUN
bracis-28387	111	10	trained	train	VERB
bracis-28387	111	11	for	for	ADP
bracis-28387	111	12	different	different	ADJ
bracis-28387	111	13	tasks	task	NOUN
bracis-28387	111	14	,	,	PUNCT
bracis-28387	111	15	that	that	ADV
bracis-28387	111	16	is	is	ADV
bracis-28387	111	17	,	,	PUNCT
bracis-28387	111	18	we	we	PRON
bracis-28387	111	19	can	can	AUX
bracis-28387	111	20	extract	extract	VERB
bracis-28387	111	21	the	the	DET
bracis-28387	111	22	backbone	backbone	NOUN
bracis-28387	111	23	from	from	ADP
bracis-28387	111	24	a	a	DET
bracis-28387	111	25	model	model	NOUN
bracis-28387	111	26	trained	train	VERB
bracis-28387	111	27	for	for	ADP
bracis-28387	111	28	some	some	DET
bracis-28387	111	29	task	task	NOUN
bracis-28387	111	30	and	and	CCONJ
bracis-28387	111	31	use	use	VERB
bracis-28387	111	32	it	it	PRON
bracis-28387	111	33	as	as	ADP
bracis-28387	111	34	the	the	DET
bracis-28387	111	35	backbone	backbone	NOUN
bracis-28387	111	36	for	for	ADP
bracis-28387	111	37	our	our	PRON
bracis-28387	111	38	model	model	NOUN
bracis-28387	111	39	designed	design	VERB
bracis-28387	111	40	for	for	ADP
bracis-28387	111	41	brain	brain	NOUN
bracis-28387	111	42	age	age	NOUN
bracis-28387	111	43	prediction	prediction	NOUN
bracis-28387	111	44	.	.	PUNCT
bracis-28387	112	1	we	we	PRON
bracis-28387	112	2	use	use	VERB
bracis-28387	112	3	the	the	DET
bracis-28387	112	4	backbones	backbone	NOUN
bracis-28387	112	5	from	from	ADP
bracis-28387	112	6	two	two	NUM
bracis-28387	112	7	different	different	ADJ
bracis-28387	112	8	architectures	architecture	NOUN
bracis-28387	112	9	:	:	PUNCT
bracis-28387	112	10	resnet	resnet	NOUN
bracis-28387	112	11	 	 	SPACE
bracis-28387	113	1	[	[	X
bracis-28387	113	2	12	12	NUM
bracis-28387	113	3	]	]	PUNCT
bracis-28387	113	4	and	and	CCONJ
bracis-28387	113	5	u	u	NOUN
bracis-28387	113	6	-	-	NOUN
bracis-28387	113	7	net	net	ADJ
bracis-28387	113	8	 	 	SPACE
bracis-28387	114	1	[	[	X
bracis-28387	114	2	32	32	NUM
bracis-28387	114	3	]	]	PUNCT
bracis-28387	114	4	.	.	PUNCT
bracis-28387	115	1	more	more	ADV
bracis-28387	115	2	specifically	specifically	ADV
bracis-28387	115	3	,	,	PUNCT
bracis-28387	115	4	we	we	PRON
bracis-28387	115	5	use	use	VERB
bracis-28387	115	6	the	the	DET
bracis-28387	115	7	resnet-50	resnet-50	PROPN
bracis-28387	115	8	architecture	architecture	NOUN
bracis-28387	115	9	,	,	PUNCT
bracis-28387	115	10	available	available	ADJ
bracis-28387	115	11	in	in	ADP
bracis-28387	115	12	the	the	DET
bracis-28387	115	13	torchvision	torchvision	NOUN
bracis-28387	115	14	package	package	NOUN
bracis-28387	115	15	 	 	SPACE
bracis-28387	116	1	[	[	X
bracis-28387	116	2	24	24	NUM
bracis-28387	116	3	]	]	PUNCT
bracis-28387	116	4	,	,	PUNCT
bracis-28387	116	5	and	and	CCONJ
bracis-28387	116	6	the	the	DET
bracis-28387	116	7	2d	2d	NUM
bracis-28387	116	8	u	u	NOUN
bracis-28387	116	9	-	-	NOUN
bracis-28387	116	10	net	net	NOUN
bracis-28387	116	11	proposed	propose	VERB
bracis-28387	116	12	in	in	ADP
bracis-28387	116	13	[	[	X
bracis-28387	116	14	14	14	NUM
bracis-28387	116	15	]	]	PUNCT
bracis-28387	116	16	,	,	PUNCT
bracis-28387	116	17	which	which	PRON
bracis-28387	116	18	is	be	AUX
bracis-28387	116	19	designed	design	VERB
bracis-28387	116	20	for	for	ADP
bracis-28387	116	21	medical	medical	ADJ
bracis-28387	116	22	image	image	NOUN
bracis-28387	116	23	segmentation	segmentation	NOUN
bracis-28387	116	24	.	.	PUNCT
bracis-28387	117	1	the	the	DET
bracis-28387	117	2	u	u	NOUN
bracis-28387	117	3	-	-	NOUN
bracis-28387	117	4	net	net	NOUN
bracis-28387	117	5	is	be	AUX
bracis-28387	117	6	composed	compose	VERB
bracis-28387	117	7	of	of	ADP
bracis-28387	117	8	an	an	DET
bracis-28387	117	9	encoder	encoder	NOUN
bracis-28387	117	10	,	,	PUNCT
bracis-28387	117	11	a	a	DET
bracis-28387	117	12	bottleneck	bottleneck	NOUN
bracis-28387	117	13	,	,	PUNCT
bracis-28387	117	14	and	and	CCONJ
bracis-28387	117	15	a	a	DET
bracis-28387	117	16	decoder	decoder	NOUN
bracis-28387	117	17	.	.	PUNCT
bracis-28387	118	1	for	for	ADP
bracis-28387	118	2	our	our	PRON
bracis-28387	118	3	backbone	backbone	NOUN
bracis-28387	118	4	,	,	PUNCT
bracis-28387	118	5	we	we	PRON
bracis-28387	118	6	use	use	VERB
bracis-28387	118	7	the	the	DET
bracis-28387	118	8	encoder	encoder	NOUN
bracis-28387	118	9	with	with	ADP
bracis-28387	118	10	the	the	DET
bracis-28387	118	11	bottleneck	bottleneck	NOUN
bracis-28387	118	12	.	.	PUNCT
bracis-28387	119	1	to	to	PART
bracis-28387	119	2	obtain	obtain	VERB
bracis-28387	119	3	the	the	DET
bracis-28387	119	4	brain	brain	NOUN
bracis-28387	119	5	age	age	NOUN
bracis-28387	119	6	prediction	prediction	NOUN
bracis-28387	119	7	of	of	ADP
bracis-28387	119	8	a	a	DET
bracis-28387	119	9	3d	3d	PROPN
bracis-28387	119	10	mri	mri	NOUN
bracis-28387	119	11	,	,	PUNCT
bracis-28387	119	12	we	we	PRON
bracis-28387	119	13	apply	apply	VERB
bracis-28387	119	14	the	the	DET
bracis-28387	119	15	model	model	NOUN
bracis-28387	119	16	to	to	ADP
bracis-28387	119	17	the	the	DET
bracis-28387	119	18	40	40	NUM
bracis-28387	119	19	axial	axial	ADJ
bracis-28387	119	20	slices	slice	NOUN
bracis-28387	119	21	of	of	ADP
bracis-28387	119	22	the	the	DET
bracis-28387	119	23	image	image	NOUN
bracis-28387	119	24	that	that	PRON
bracis-28387	119	25	contain	contain	VERB
bracis-28387	119	26	brain	brain	NOUN
bracis-28387	119	27	information	information	NOUN
bracis-28387	119	28	and	and	CCONJ
bracis-28387	119	29	take	take	VERB
bracis-28387	119	30	the	the	DET
bracis-28387	119	31	mean	mean	NOUN
bracis-28387	119	32	of	of	ADP
bracis-28387	119	33	the	the	DET
bracis-28387	119	34	outputs	output	NOUN
bracis-28387	119	35	 	 	SPACE
bracis-28387	119	36	[	[	X
bracis-28387	119	37	4	4	NUM
bracis-28387	119	38	]	]	PUNCT
bracis-28387	119	39	.	.	PUNCT
bracis-28387	120	1	the	the	DET
bracis-28387	120	2	pipeline	pipeline	NOUN
bracis-28387	120	3	of	of	ADP
bracis-28387	120	4	operations	operation	NOUN
bracis-28387	120	5	can	can	AUX
bracis-28387	120	6	be	be	AUX
bracis-28387	120	7	seen	see	VERB
bracis-28387	120	8	in	in	ADP
bracis-28387	120	9	fig	fig	NOUN
bracis-28387	120	10	.	.	PUNCT
bracis-28387	120	11	 	 	SPACE
bracis-28387	121	1	2	2	NUM
bracis-28387	121	2	.	.	X
bracis-28387	121	3	fig	fig	NOUN
bracis-28387	121	4	.	.	PUNCT
bracis-28387	122	1	2	2	X
bracis-28387	122	2	.	.	X
bracis-28387	122	3	brain	brain	NOUN
bracis-28387	122	4	age	age	NOUN
bracis-28387	122	5	prediction	prediction	NOUN
bracis-28387	122	6	of	of	ADP
bracis-28387	122	7	a	a	DET
bracis-28387	122	8	3d	3d	NOUN
bracis-28387	122	9	mri	mri	NOUN
bracis-28387	122	10	using	use	VERB
bracis-28387	122	11	a	a	DET
bracis-28387	122	12	2d	2d	NUM
bracis-28387	122	13	deep	deep	ADJ
bracis-28387	122	14	learning	learning	NOUN
bracis-28387	122	15	model	model	NOUN
bracis-28387	122	16	.	.	PUNCT
bracis-28387	123	1	full	full	ADJ
bracis-28387	123	2	size	size	NOUN
bracis-28387	123	3	image	image	NOUN
bracis-28387	123	4	3.4	3.4	NUM
bracis-28387	123	5	pre	pre	NOUN
bracis-28387	123	6	-	-	NOUN
bracis-28387	123	7	training	training	NOUN
bracis-28387	123	8	on	on	ADP
bracis-28387	123	9	 	 	SPACE
bracis-28387	123	10	brain	brain	NOUN
bracis-28387	123	11	tumor	tumor	NOUN
bracis-28387	123	12	segmentation	segmentation	NOUN
bracis-28387	123	13	to	to	PART
bracis-28387	123	14	leverage	leverage	VERB
bracis-28387	123	15	the	the	DET
bracis-28387	123	16	knowledge	knowledge	NOUN
bracis-28387	123	17	from	from	ADP
bracis-28387	123	18	other	other	ADJ
bracis-28387	123	19	brain	brain	NOUN
bracis-28387	123	20	-	-	PUNCT
bracis-28387	123	21	related	relate	VERB
bracis-28387	123	22	tasks	task	NOUN
bracis-28387	123	23	to	to	PART
bracis-28387	123	24	brain	brain	NOUN
bracis-28387	123	25	age	age	NOUN
bracis-28387	123	26	prediction	prediction	NOUN
bracis-28387	123	27	,	,	PUNCT
bracis-28387	123	28	we	we	PRON
bracis-28387	123	29	pre	pre	VERB
bracis-28387	123	30	-	-	VERB
bracis-28387	123	31	train	train	VERB
bracis-28387	123	32	our	our	PRON
bracis-28387	123	33	backbones	backbone	NOUN
bracis-28387	123	34	in	in	ADP
bracis-28387	123	35	the	the	DET
bracis-28387	123	36	brain	brain	NOUN
bracis-28387	123	37	tumor	tumor	NOUN
bracis-28387	123	38	segmentation	segmentation	NOUN
bracis-28387	123	39	task	task	NOUN
bracis-28387	123	40	.	.	PUNCT
bracis-28387	124	1	we	we	PRON
bracis-28387	124	2	follow	follow	VERB
bracis-28387	124	3	the	the	DET
bracis-28387	124	4	brats	brat	NOUN
bracis-28387	124	5	challenge	challenge	NOUN
bracis-28387	124	6	setup	setup	NOUN
bracis-28387	124	7	,	,	PUNCT
bracis-28387	124	8	with	with	ADP
bracis-28387	124	9	brats	brat	NOUN
bracis-28387	124	10	data	datum	NOUN
bracis-28387	124	11	,	,	PUNCT
bracis-28387	124	12	for	for	ADP
bracis-28387	124	13	both	both	CCONJ
bracis-28387	124	14	u	u	NOUN
bracis-28387	124	15	-	-	NOUN
bracis-28387	124	16	net	net	ADJ
bracis-28387	124	17	and	and	CCONJ
bracis-28387	124	18	resnet	resnet	ADJ
bracis-28387	124	19	backbones	backbone	NOUN
bracis-28387	124	20	.	.	PUNCT
bracis-28387	125	1	to	to	PART
bracis-28387	125	2	be	be	AUX
bracis-28387	125	3	able	able	ADJ
bracis-28387	125	4	to	to	PART
bracis-28387	125	5	train	train	VERB
bracis-28387	125	6	a	a	DET
bracis-28387	125	7	resnet	resnet	NOUN
bracis-28387	125	8	backbone	backbone	NOUN
bracis-28387	125	9	in	in	ADP
bracis-28387	125	10	a	a	DET
bracis-28387	125	11	segmentation	segmentation	NOUN
bracis-28387	125	12	task	task	NOUN
bracis-28387	125	13	,	,	PUNCT
bracis-28387	125	14	we	we	PRON
bracis-28387	125	15	replace	replace	VERB
bracis-28387	125	16	the	the	DET
bracis-28387	125	17	original	original	ADJ
bracis-28387	125	18	head	head	NOUN
bracis-28387	125	19	of	of	ADP
bracis-28387	125	20	the	the	DET
bracis-28387	125	21	resnet	resnet	NOUN
bracis-28387	125	22	with	with	ADP
bracis-28387	125	23	a	a	DET
bracis-28387	125	24	u	u	ADJ
bracis-28387	125	25	-	-	ADJ
bracis-28387	125	26	net	net	ADJ
bracis-28387	125	27	decoder	decoder	NOUN
bracis-28387	125	28	,	,	PUNCT
bracis-28387	125	29	in	in	ADP
bracis-28387	125	30	a	a	DET
bracis-28387	125	31	resunet	resunet	ADJ
bracis-28387	125	32	architecture	architecture	NOUN
bracis-28387	125	33	 	 	SPACE
bracis-28387	126	1	[	[	X
bracis-28387	126	2	36	36	NUM
bracis-28387	126	3	]	]	PUNCT
bracis-28387	126	4	.	.	PUNCT
bracis-28387	127	1	this	this	PRON
bracis-28387	127	2	means	mean	VERB
bracis-28387	127	3	that	that	SCONJ
bracis-28387	127	4	the	the	DET
bracis-28387	127	5	decoder	decoder	NOUN
bracis-28387	127	6	matches	match	VERB
bracis-28387	127	7	the	the	DET
bracis-28387	127	8	resnet	resnet	NOUN
bracis-28387	127	9	backbone	backbone	NOUN
bracis-28387	127	10	with	with	ADP
bracis-28387	127	11	respect	respect	NOUN
bracis-28387	127	12	to	to	ADP
bracis-28387	127	13	the	the	DET
bracis-28387	127	14	size	size	NOUN
bracis-28387	127	15	of	of	ADP
bracis-28387	127	16	the	the	DET
bracis-28387	127	17	intermediate	intermediate	ADJ
bracis-28387	127	18	feature	feature	NOUN
bracis-28387	127	19	maps	map	NOUN
bracis-28387	127	20	so	so	SCONJ
bracis-28387	127	21	that	that	SCONJ
bracis-28387	127	22	the	the	DET
bracis-28387	127	23	skip	skip	ADJ
bracis-28387	127	24	connections	connection	NOUN
bracis-28387	127	25	can	can	AUX
bracis-28387	127	26	be	be	AUX
bracis-28387	127	27	added	add	VERB
bracis-28387	127	28	in	in	ADP
bracis-28387	127	29	the	the	DET
bracis-28387	127	30	same	same	ADJ
bracis-28387	127	31	way	way	NOUN
bracis-28387	127	32	as	as	ADP
bracis-28387	127	33	in	in	ADP
bracis-28387	127	34	the	the	DET
bracis-28387	127	35	original	original	ADJ
bracis-28387	127	36	u	u	ADJ
bracis-28387	127	37	-	-	ADJ
bracis-28387	127	38	net	net	ADJ
bracis-28387	127	39	implementation	implementation	NOUN
bracis-28387	127	40	.	.	PUNCT
bracis-28387	128	1	we	we	PRON
bracis-28387	128	2	follow	follow	VERB
bracis-28387	128	3	crimi	crimi	PROPN
bracis-28387	128	4	et	et	PROPN
bracis-28387	128	5	al	al	PROPN
bracis-28387	128	6	.	.	PUNCT
bracis-28387	129	1	[	[	X
bracis-28387	129	2	15	15	NUM
bracis-28387	129	3	]	]	PUNCT
bracis-28387	129	4	for	for	ADP
bracis-28387	129	5	training	train	VERB
bracis-28387	129	6	all	all	DET
bracis-28387	129	7	models	model	NOUN
bracis-28387	129	8	on	on	ADP
bracis-28387	129	9	the	the	DET
bracis-28387	129	10	brats	brat	NOUN
bracis-28387	129	11	data	datum	NOUN
bracis-28387	129	12	.	.	PUNCT
bracis-28387	130	1	we	we	PRON
bracis-28387	130	2	first	first	ADV
bracis-28387	130	3	train	train	VERB
bracis-28387	130	4	the	the	DET
bracis-28387	130	5	models	model	NOUN
bracis-28387	130	6	on	on	ADP
bracis-28387	130	7	a	a	DET
bracis-28387	130	8	random	random	ADJ
bracis-28387	130	9	80/20	80/20	NUM
bracis-28387	130	10	split	split	NOUN
bracis-28387	130	11	of	of	ADP
bracis-28387	130	12	the	the	DET
bracis-28387	130	13	brats	brat	NOUN
bracis-28387	130	14	2020	2020	NUM
bracis-28387	130	15	dataset	dataset	NOUN
bracis-28387	130	16	.	.	PUNCT
bracis-28387	131	1	the	the	DET
bracis-28387	131	2	models	model	NOUN
bracis-28387	131	3	are	be	AUX
bracis-28387	131	4	evaluated	evaluate	VERB
bracis-28387	131	5	through	through	ADP
bracis-28387	131	6	the	the	DET
bracis-28387	131	7	dice	dice	NOUN
bracis-28387	131	8	score	score	NOUN
bracis-28387	131	9	 	 	SPACE
bracis-28387	132	1	[	[	X
bracis-28387	132	2	25	25	NUM
bracis-28387	132	3	]	]	PUNCT
bracis-28387	132	4	,	,	PUNCT
bracis-28387	132	5	which	which	PRON
bracis-28387	132	6	measures	measure	VERB
bracis-28387	132	7	the	the	DET
bracis-28387	132	8	overlap	overlap	NOUN
bracis-28387	132	9	between	between	ADP
bracis-28387	132	10	the	the	DET
bracis-28387	132	11	predicted	predict	VERB
bracis-28387	132	12	segmentation	segmentation	NOUN
bracis-28387	132	13	mask	mask	NOUN
bracis-28387	132	14	\(\hat{y}\	\(\hat{y}\	PROPN
bracis-28387	132	15	)	)	PUNCT
bracis-28387	132	16	and	and	CCONJ
bracis-28387	132	17	the	the	DET
bracis-28387	132	18	ground	ground	NOUN
bracis-28387	132	19	truth	truth	NOUN
bracis-28387	132	20	y	y	PROPN
bracis-28387	132	21	as	as	ADP
bracis-28387	132	22	$	$	SYM
bracis-28387	132	23	$	$	SYM
bracis-28387	132	24	\text	\text	NOUN
bracis-28387	132	25	{	{	PUNCT
bracis-28387	132	26	dice}(\hat{y},y	dice}(\hat{y},y	PROPN
bracis-28387	132	27	)	)	PUNCT
bracis-28387	132	28	=	=	VERB
bracis-28387	132	29	\frac{2	\frac{2	VERB
bracis-28387	132	30	|\hat{y	|\hat{y	PROPN
bracis-28387	132	31	}	}	PUNCT
bracis-28387	132	32	\cap	\cap	PROPN
bracis-28387	132	33	y|}{|\hat{y}|	y|}{|\hat{y}|	NOUN
bracis-28387	132	34	+	+	PUNCT
bracis-28387	132	35	|y|	|y|	ADJ
bracis-28387	132	36	}	}	PUNCT
bracis-28387	132	37	.$$	.$$	PUNCT
bracis-28387	133	1	based	base	VERB
bracis-28387	133	2	on	on	ADP
bracis-28387	133	3	the	the	DET
bracis-28387	133	4	models	model	NOUN
bracis-28387	133	5	’	'	PUNCT
bracis-28387	133	6	performance	performance	NOUN
bracis-28387	133	7	,	,	PUNCT
bracis-28387	133	8	we	we	PRON
bracis-28387	133	9	fixed	fix	VERB
bracis-28387	133	10	the	the	DET
bracis-28387	133	11	number	number	NOUN
bracis-28387	133	12	of	of	ADP
bracis-28387	133	13	epochs	epoch	NOUN
bracis-28387	133	14	to	to	PART
bracis-28387	133	15	avoid	avoid	VERB
bracis-28387	133	16	overfitting	overfitte	VERB
bracis-28387	133	17	.	.	PUNCT
bracis-28387	134	1	then	then	ADV
bracis-28387	134	2	,	,	PUNCT
bracis-28387	134	3	the	the	DET
bracis-28387	134	4	entirety	entirety	NOUN
bracis-28387	134	5	of	of	ADP
bracis-28387	134	6	the	the	DET
bracis-28387	134	7	brats	brat	NOUN
bracis-28387	134	8	data	datum	NOUN
bracis-28387	134	9	is	be	AUX
bracis-28387	134	10	used	use	VERB
bracis-28387	134	11	to	to	PART
bracis-28387	134	12	train	train	VERB
bracis-28387	134	13	the	the	DET
bracis-28387	134	14	backbones	backbone	NOUN
bracis-28387	134	15	for	for	ADP
bracis-28387	134	16	a	a	DET
bracis-28387	134	17	fixed	fix	VERB
bracis-28387	134	18	number	number	NOUN
bracis-28387	134	19	of	of	ADP
bracis-28387	134	20	epochs	epoch	NOUN
bracis-28387	134	21	.	.	PUNCT
bracis-28387	135	1	3.5	3.5	NUM
bracis-28387	135	2	training	training	NOUN
bracis-28387	135	3	on	on	ADP
bracis-28387	135	4	 	 	SPACE
bracis-28387	135	5	brain	brain	NOUN
bracis-28387	135	6	age	age	NOUN
bracis-28387	135	7	prediction	prediction	NOUN
bracis-28387	135	8	to	to	PART
bracis-28387	135	9	train	train	VERB
bracis-28387	135	10	the	the	DET
bracis-28387	135	11	deep	deep	ADJ
bracis-28387	135	12	learning	learning	NOUN
bracis-28387	135	13	models	model	NOUN
bracis-28387	135	14	on	on	ADP
bracis-28387	135	15	brain	brain	NOUN
bracis-28387	135	16	age	age	NOUN
bracis-28387	135	17	prediction	prediction	NOUN
bracis-28387	135	18	,	,	PUNCT
bracis-28387	135	19	we	we	PRON
bracis-28387	135	20	assume	assume	VERB
bracis-28387	135	21	,	,	PUNCT
bracis-28387	135	22	following	follow	VERB
bracis-28387	135	23	previous	previous	ADJ
bracis-28387	135	24	work	work	NOUN
bracis-28387	135	25	,	,	PUNCT
bracis-28387	135	26	that	that	SCONJ
bracis-28387	135	27	the	the	DET
bracis-28387	135	28	brain	brain	NOUN
bracis-28387	135	29	age	age	NOUN
bracis-28387	135	30	of	of	ADP
bracis-28387	135	31	healthy	healthy	ADJ
bracis-28387	135	32	subjects	subject	NOUN
bracis-28387	135	33	is	be	AUX
bracis-28387	135	34	close	close	ADJ
bracis-28387	135	35	to	to	ADP
bracis-28387	135	36	their	their	PRON
bracis-28387	135	37	chronological	chronological	ADJ
bracis-28387	135	38	age	age	NOUN
bracis-28387	135	39	 	 	SPACE
bracis-28387	136	1	[	[	X
bracis-28387	136	2	4	4	NUM
bracis-28387	136	3	,	,	PUNCT
bracis-28387	136	4	7	7	NUM
bracis-28387	136	5	,	,	PUNCT
bracis-28387	136	6	20	20	NUM
bracis-28387	136	7	]	]	PUNCT
bracis-28387	136	8	.	.	PUNCT
bracis-28387	137	1	thus	thus	ADV
bracis-28387	137	2	,	,	PUNCT
bracis-28387	137	3	we	we	PRON
bracis-28387	137	4	train	train	VERB
bracis-28387	137	5	and	and	CCONJ
bracis-28387	137	6	evaluate	evaluate	VERB
bracis-28387	137	7	our	our	PRON
bracis-28387	137	8	models	model	NOUN
bracis-28387	137	9	solely	solely	ADV
bracis-28387	137	10	on	on	ADP
bracis-28387	137	11	the	the	DET
bracis-28387	137	12	images	image	NOUN
bracis-28387	137	13	of	of	ADP
bracis-28387	137	14	subjects	subject	NOUN
bracis-28387	137	15	belonging	belong	VERB
bracis-28387	137	16	to	to	ADP
bracis-28387	137	17	the	the	DET
bracis-28387	137	18	cn	cn	PROPN
bracis-28387	137	19	group	group	NOUN
bracis-28387	137	20	.	.	PUNCT
bracis-28387	138	1	to	to	PART
bracis-28387	138	2	provide	provide	VERB
bracis-28387	138	3	easy	easy	ADJ
bracis-28387	138	4	-	-	PUNCT
bracis-28387	138	5	to	to	ADP
bracis-28387	138	6	-	-	PUNCT
bracis-28387	138	7	compare	compare	VERB
bracis-28387	138	8	results	result	NOUN
bracis-28387	138	9	,	,	PUNCT
bracis-28387	138	10	we	we	PRON
bracis-28387	138	11	choose	choose	VERB
bracis-28387	138	12	to	to	PART
bracis-28387	138	13	evaluate	evaluate	VERB
bracis-28387	138	14	our	our	PRON
bracis-28387	138	15	models	model	NOUN
bracis-28387	138	16	on	on	ADP
bracis-28387	138	17	a	a	DET
bracis-28387	138	18	standardized	standardized	ADJ
bracis-28387	138	19	dataset	dataset	NOUN
bracis-28387	138	20	.	.	PUNCT
bracis-28387	139	1	therefore	therefore	ADV
bracis-28387	139	2	,	,	PUNCT
bracis-28387	139	3	we	we	PRON
bracis-28387	139	4	follow	follow	VERB
bracis-28387	139	5	the	the	DET
bracis-28387	139	6	standardized	standardized	ADJ
bracis-28387	139	7	split	split	NOUN
bracis-28387	139	8	of	of	ADP
bracis-28387	139	9	the	the	DET
bracis-28387	139	10	analysis	analysis	NOUN
bracis-28387	139	11	set	set	VERB
bracis-28387	139	12	for	for	ADP
bracis-28387	139	13	adni-1	adni-1	NUM
bracis-28387	139	14	 	 	SPACE
bracis-28387	139	15	[	[	X
bracis-28387	139	16	35	35	NUM
bracis-28387	139	17	]	]	PUNCT
bracis-28387	139	18	,	,	PUNCT
bracis-28387	139	19	and	and	CCONJ
bracis-28387	139	20	use	use	VERB
bracis-28387	139	21	the	the	DET
bracis-28387	139	22	standard	standard	ADJ
bracis-28387	139	23	test	test	NOUN
bracis-28387	139	24	set	set	VERB
bracis-28387	139	25	as	as	ADP
bracis-28387	139	26	our	our	PRON
bracis-28387	139	27	test	test	NOUN
bracis-28387	139	28	set	set	NOUN
bracis-28387	139	29	,	,	PUNCT
bracis-28387	139	30	and	and	CCONJ
bracis-28387	139	31	their	their	PRON
bracis-28387	139	32	training	training	NOUN
bracis-28387	139	33	set	set	NOUN
bracis-28387	139	34	as	as	ADP
bracis-28387	139	35	our	our	PRON
bracis-28387	139	36	validation	validation	NOUN
bracis-28387	139	37	set	set	NOUN
bracis-28387	139	38	.	.	PUNCT
bracis-28387	140	1	in	in	ADP
bracis-28387	140	2	other	other	ADJ
bracis-28387	140	3	words	word	NOUN
bracis-28387	140	4	,	,	PUNCT
bracis-28387	140	5	we	we	PRON
bracis-28387	140	6	divide	divide	VERB
bracis-28387	140	7	the	the	DET
bracis-28387	140	8	preprocessed	preprocesse	VERB
bracis-28387	140	9	adni-1	adni-1	NUM
bracis-28387	140	10	t1	t1	NOUN
bracis-28387	140	11	-	-	PUNCT
bracis-28387	140	12	weighted	weight	VERB
bracis-28387	140	13	scans	scan	NOUN
bracis-28387	140	14	from	from	ADP
bracis-28387	140	15	cn	cn	PROPN
bracis-28387	140	16	subjects	subject	NOUN
bracis-28387	140	17	following	follow	VERB
bracis-28387	140	18	the	the	DET
bracis-28387	140	19	standardized	standardized	ADJ
bracis-28387	140	20	split	split	NOUN
bracis-28387	140	21	to	to	PART
bracis-28387	140	22	form	form	VERB
bracis-28387	140	23	our	our	PRON
bracis-28387	140	24	validation	validation	NOUN
bracis-28387	140	25	and	and	CCONJ
bracis-28387	140	26	test	test	NOUN
bracis-28387	140	27	sets	set	NOUN
bracis-28387	140	28	.	.	PUNCT
bracis-28387	141	1	the	the	DET
bracis-28387	141	2	remaining	remain	VERB
bracis-28387	141	3	images	image	NOUN
bracis-28387	141	4	(	(	PUNCT
bracis-28387	141	5	i.e.	i.e.	X
bracis-28387	141	6	,	,	PUNCT
bracis-28387	141	7	those	those	PRON
bracis-28387	141	8	from	from	ADP
bracis-28387	141	9	adni	adni	NOUN
bracis-28387	141	10	-	-	PUNCT
bracis-28387	141	11	go	go	NOUN
bracis-28387	141	12	,	,	PUNCT
bracis-28387	141	13	adni-2	adni-2	ADJ
bracis-28387	141	14	,	,	PUNCT
bracis-28387	141	15	and	and	CCONJ
bracis-28387	141	16	adni-3	adni-3	NUM
bracis-28387	141	17	)	)	PUNCT
bracis-28387	141	18	compose	compose	VERB
bracis-28387	141	19	our	our	PRON
bracis-28387	141	20	training	training	NOUN
bracis-28387	141	21	set	set	NOUN
bracis-28387	141	22	.	.	PUNCT
bracis-28387	142	1	detailed	detailed	ADJ
bracis-28387	142	2	information	information	NOUN
bracis-28387	142	3	on	on	ADP
bracis-28387	142	4	the	the	DET
bracis-28387	142	5	images	image	NOUN
bracis-28387	142	6	used	use	VERB
bracis-28387	142	7	in	in	ADP
bracis-28387	142	8	the	the	DET
bracis-28387	142	9	training	training	NOUN
bracis-28387	142	10	set	set	NOUN
bracis-28387	142	11	can	can	AUX
bracis-28387	142	12	be	be	AUX
bracis-28387	142	13	found	find	VERB
bracis-28387	142	14	in	in	ADP
bracis-28387	142	15	our	our	PRON
bracis-28387	142	16	code	code	NOUN
bracis-28387	142	17	repositoryfootnote	repositoryfootnote	VERB
bracis-28387	142	18	3	3	NUM
bracis-28387	142	19	.	.	PUNCT
bracis-28387	143	1	we	we	PRON
bracis-28387	143	2	train	train	VERB
bracis-28387	143	3	all	all	DET
bracis-28387	143	4	models	model	NOUN
bracis-28387	143	5	,	,	PUNCT
bracis-28387	143	6	regardless	regardless	ADV
bracis-28387	143	7	of	of	ADP
bracis-28387	143	8	backbone	backbone	NOUN
bracis-28387	143	9	architecture	architecture	NOUN
bracis-28387	143	10	or	or	CCONJ
bracis-28387	143	11	pre	pre	NOUN
bracis-28387	143	12	-	-	NOUN
bracis-28387	143	13	training	training	NOUN
bracis-28387	143	14	,	,	PUNCT
bracis-28387	143	15	using	use	VERB
bracis-28387	143	16	the	the	DET
bracis-28387	143	17	adam	adam	PROPN
bracis-28387	143	18	optimizer	optimizer	NOUN
bracis-28387	143	19	to	to	PART
bracis-28387	143	20	minimize	minimize	VERB
bracis-28387	143	21	the	the	DET
bracis-28387	143	22	mean	mean	ADJ
bracis-28387	143	23	squared	square	VERB
bracis-28387	143	24	error	error	NOUN
bracis-28387	143	25	between	between	ADP
bracis-28387	143	26	the	the	DET
bracis-28387	143	27	age	age	NOUN
bracis-28387	143	28	predicted	predict	VERB
bracis-28387	143	29	from	from	ADP
bracis-28387	143	30	each	each	DET
bracis-28387	143	31	slice	slice	NOUN
bracis-28387	143	32	and	and	CCONJ
bracis-28387	143	33	the	the	DET
bracis-28387	143	34	true	true	ADJ
bracis-28387	143	35	age	age	NOUN
bracis-28387	143	36	of	of	ADP
bracis-28387	143	37	the	the	DET
bracis-28387	143	38	cn	cn	PROPN
bracis-28387	143	39	subjects	subject	NOUN
bracis-28387	143	40	.	.	PUNCT
bracis-28387	144	1	the	the	DET
bracis-28387	144	2	models	model	NOUN
bracis-28387	144	3	are	be	AUX
bracis-28387	144	4	first	first	ADV
bracis-28387	144	5	trained	train	VERB
bracis-28387	144	6	on	on	ADP
bracis-28387	144	7	the	the	DET
bracis-28387	144	8	training	training	NOUN
bracis-28387	144	9	set	set	NOUN
bracis-28387	144	10	.	.	PUNCT
bracis-28387	145	1	the	the	DET
bracis-28387	145	2	performance	performance	NOUN
bracis-28387	145	3	of	of	ADP
bracis-28387	145	4	these	these	DET
bracis-28387	145	5	models	model	NOUN
bracis-28387	145	6	on	on	ADP
bracis-28387	145	7	the	the	DET
bracis-28387	145	8	validation	validation	NOUN
bracis-28387	145	9	set	set	NOUN
bracis-28387	145	10	is	be	AUX
bracis-28387	145	11	used	use	VERB
bracis-28387	145	12	for	for	ADP
bracis-28387	145	13	hyperparameter	hyperparameter	NOUN
bracis-28387	145	14	tuning	tuning	NOUN
bracis-28387	145	15	and	and	CCONJ
bracis-28387	145	16	early	early	ADJ
bracis-28387	145	17	stopping	stopping	NOUN
bracis-28387	145	18	.	.	PUNCT
bracis-28387	146	1	namely	namely	ADV
bracis-28387	146	2	,	,	PUNCT
bracis-28387	146	3	batch	batch	NOUN
bracis-28387	146	4	size	size	NOUN
bracis-28387	146	5	and	and	CCONJ
bracis-28387	146	6	learning	learning	NOUN
bracis-28387	146	7	rate	rate	NOUN
bracis-28387	146	8	were	be	AUX
bracis-28387	146	9	adjusted	adjust	VERB
bracis-28387	146	10	,	,	PUNCT
bracis-28387	146	11	and	and	CCONJ
bracis-28387	146	12	a	a	DET
bracis-28387	146	13	moving	move	VERB
bracis-28387	146	14	averagefootnote	averagefootnote	NOUN
bracis-28387	146	15	4	4	NUM
bracis-28387	146	16	of	of	ADP
bracis-28387	146	17	the	the	DET
bracis-28387	146	18	mae	mae	PROPN
bracis-28387	146	19	on	on	ADP
bracis-28387	146	20	the	the	DET
bracis-28387	146	21	validation	validation	NOUN
bracis-28387	146	22	set	set	NOUN
bracis-28387	146	23	was	be	AUX
bracis-28387	146	24	used	use	VERB
bracis-28387	146	25	to	to	PART
bracis-28387	146	26	determine	determine	VERB
bracis-28387	146	27	the	the	DET
bracis-28387	146	28	ideal	ideal	ADJ
bracis-28387	146	29	epoch	epoch	NOUN
bracis-28387	146	30	(	(	PUNCT
bracis-28387	146	31	i.e.	i.e.	X
bracis-28387	146	32	,	,	PUNCT
bracis-28387	146	33	the	the	DET
bracis-28387	146	34	one	one	NOUN
bracis-28387	146	35	with	with	ADP
bracis-28387	146	36	the	the	DET
bracis-28387	146	37	smallest	small	ADJ
bracis-28387	146	38	mae	mae	PROPN
bracis-28387	146	39	)	)	PUNCT
bracis-28387	146	40	for	for	ADP
bracis-28387	146	41	stopping	stop	VERB
bracis-28387	146	42	the	the	DET
bracis-28387	146	43	training	training	NOUN
bracis-28387	146	44	.	.	PUNCT
bracis-28387	147	1	the	the	DET
bracis-28387	147	2	models	model	NOUN
bracis-28387	147	3	with	with	ADP
bracis-28387	147	4	the	the	DET
bracis-28387	147	5	best	good	ADJ
bracis-28387	147	6	performance	performance	NOUN
bracis-28387	147	7	on	on	ADP
bracis-28387	147	8	the	the	DET
bracis-28387	147	9	validation	validation	NOUN
bracis-28387	147	10	set	set	NOUN
bracis-28387	147	11	are	be	AUX
bracis-28387	147	12	then	then	ADV
bracis-28387	147	13	evaluated	evaluate	VERB
bracis-28387	147	14	on	on	ADP
bracis-28387	147	15	the	the	DET
bracis-28387	147	16	test	test	NOUN
bracis-28387	147	17	set	set	NOUN
bracis-28387	147	18	,	,	PUNCT
bracis-28387	147	19	which	which	PRON
bracis-28387	147	20	is	be	AUX
bracis-28387	147	21	unseen	unseen	ADJ
bracis-28387	147	22	up	up	ADP
bracis-28387	147	23	to	to	ADP
bracis-28387	147	24	then	then	ADV
bracis-28387	147	25	.	.	PUNCT
bracis-28387	148	1	3.6	3.6	NUM
bracis-28387	148	2	evaluation	evaluation	NOUN
bracis-28387	148	3	the	the	DET
bracis-28387	148	4	brain	brain	NOUN
bracis-28387	148	5	age	age	NOUN
bracis-28387	148	6	models	model	NOUN
bracis-28387	148	7	were	be	AUX
bracis-28387	148	8	evaluated	evaluate	VERB
bracis-28387	148	9	on	on	ADP
bracis-28387	148	10	the	the	DET
bracis-28387	148	11	error	error	NOUN
bracis-28387	148	12	between	between	ADP
bracis-28387	148	13	the	the	DET
bracis-28387	148	14	predicted	predict	VERB
bracis-28387	148	15	age	age	NOUN
bracis-28387	148	16	and	and	CCONJ
bracis-28387	148	17	the	the	DET
bracis-28387	148	18	actual	actual	ADJ
bracis-28387	148	19	age	age	NOUN
bracis-28387	148	20	of	of	ADP
bracis-28387	148	21	the	the	DET
bracis-28387	148	22	cn	cn	PROPN
bracis-28387	148	23	subjects	subject	NOUN
bracis-28387	148	24	.	.	PUNCT
bracis-28387	149	1	more	more	ADV
bracis-28387	149	2	specifically	specifically	ADV
bracis-28387	149	3	,	,	PUNCT
bracis-28387	149	4	we	we	PRON
bracis-28387	149	5	use	use	VERB
bracis-28387	149	6	the	the	DET
bracis-28387	149	7	mean	mean	ADJ
bracis-28387	149	8	absolute	absolute	ADJ
bracis-28387	149	9	error	error	NOUN
bracis-28387	149	10	(	(	PUNCT
bracis-28387	149	11	mae	mae	PROPN
bracis-28387	149	12	)	)	PUNCT
bracis-28387	149	13	as	as	ADP
bracis-28387	149	14	our	our	PRON
bracis-28387	149	15	standard	standard	ADJ
bracis-28387	149	16	evaluation	evaluation	NOUN
bracis-28387	149	17	metric	metric	NOUN
bracis-28387	149	18	.	.	PUNCT
bracis-28387	150	1	we	we	PRON
bracis-28387	150	2	compute	compute	VERB
bracis-28387	150	3	the	the	DET
bracis-28387	150	4	error	error	NOUN
bracis-28387	150	5	based	base	VERB
bracis-28387	150	6	on	on	ADP
bracis-28387	150	7	the	the	DET
bracis-28387	150	8	predicted	predict	VERB
bracis-28387	150	9	age	age	NOUN
bracis-28387	150	10	of	of	ADP
bracis-28387	150	11	the	the	DET
bracis-28387	150	12	whole	whole	ADJ
bracis-28387	150	13	3d	3d	PROPN
bracis-28387	150	14	mri	mri	NOUN
bracis-28387	150	15	,	,	PUNCT
bracis-28387	150	16	i.e.	i.e.	X
bracis-28387	150	17	,	,	PUNCT
bracis-28387	150	18	after	after	ADP
bracis-28387	150	19	averaging	average	VERB
bracis-28387	150	20	the	the	DET
bracis-28387	150	21	predictions	prediction	NOUN
bracis-28387	150	22	of	of	ADP
bracis-28387	150	23	all	all	DET
bracis-28387	150	24	slices	slice	NOUN
bracis-28387	150	25	as	as	SCONJ
bracis-28387	150	26	described	describe	VERB
bracis-28387	150	27	in	in	ADP
bracis-28387	150	28	sect	sect	NOUN
bracis-28387	150	29	.	.	PUNCT
bracis-28387	151	1	3.5	3.5	NUM
bracis-28387	151	2	and	and	CCONJ
bracis-28387	151	3	illustrated	illustrate	VERB
bracis-28387	151	4	in	in	ADP
bracis-28387	151	5	fig	fig	NOUN
bracis-28387	151	6	.	.	PUNCT
bracis-28387	151	7	 	 	SPACE
bracis-28387	152	1	2	2	X
bracis-28387	152	2	.	.	PUNCT
bracis-28387	153	1	furthermore	furthermore	ADV
bracis-28387	153	2	,	,	PUNCT
bracis-28387	153	3	we	we	PRON
bracis-28387	153	4	evaluate	evaluate	VERB
bracis-28387	153	5	the	the	DET
bracis-28387	153	6	capacity	capacity	NOUN
bracis-28387	153	7	of	of	ADP
bracis-28387	153	8	the	the	DET
bracis-28387	153	9	brain	brain	NOUN
bracis-28387	153	10	age	age	NOUN
bracis-28387	153	11	estimate	estimate	NOUN
bracis-28387	153	12	in	in	ADP
bracis-28387	153	13	differentiating	differentiate	VERB
bracis-28387	153	14	between	between	ADP
bracis-28387	153	15	cn	cn	PROPN
bracis-28387	153	16	,	,	PUNCT
bracis-28387	153	17	mci	mci	PROPN
bracis-28387	153	18	,	,	PUNCT
bracis-28387	153	19	and	and	CCONJ
bracis-28387	153	20	ad	ad	NOUN
bracis-28387	153	21	patients	patient	NOUN
bracis-28387	153	22	.	.	PUNCT
bracis-28387	154	1	for	for	ADP
bracis-28387	154	2	this	this	PRON
bracis-28387	154	3	,	,	PUNCT
bracis-28387	154	4	we	we	PRON
bracis-28387	154	5	use	use	VERB
bracis-28387	154	6	the	the	DET
bracis-28387	154	7	brain	brain	NOUN
bracis-28387	154	8	age	age	NOUN
bracis-28387	154	9	delta	delta	NOUN
bracis-28387	154	10	\(\vardelta	\(\vardelta	PRON
bracis-28387	154	11	_	_	PUNCT
bracis-28387	154	12	{	{	PUNCT
bracis-28387	154	13	ba	ba	NOUN
bracis-28387	154	14	}	}	PUNCT
bracis-28387	154	15	=	=	SYM
bracis-28387	154	16	\hat{y}_{ba	\hat{y}_{ba	ADJ
bracis-28387	154	17	}	}	PUNCT
bracis-28387	154	18	y_{ca}\	y_{ca}\	PROPN
bracis-28387	154	19	)	)	PUNCT
bracis-28387	154	20	,	,	PUNCT
bracis-28387	154	21	which	which	PRON
bracis-28387	154	22	is	be	AUX
bracis-28387	154	23	the	the	DET
bracis-28387	154	24	difference	difference	NOUN
bracis-28387	154	25	between	between	ADP
bracis-28387	154	26	the	the	DET
bracis-28387	154	27	predicted	predict	VERB
bracis-28387	154	28	brain	brain	NOUN
bracis-28387	154	29	age	age	NOUN
bracis-28387	154	30	\(\hat{y}_{ba}\	\(\hat{y}_{ba}\	PROPN
bracis-28387	154	31	)	)	PUNCT
bracis-28387	154	32	and	and	CCONJ
bracis-28387	154	33	the	the	DET
bracis-28387	154	34	chronological	chronological	ADJ
bracis-28387	154	35	age	age	NOUN
bracis-28387	154	36	\(y_{ca}\	\(y_{ca}\	PROPN
bracis-28387	154	37	)	)	PUNCT
bracis-28387	154	38	of	of	ADP
bracis-28387	154	39	a	a	DET
bracis-28387	154	40	subject	subject	NOUN
bracis-28387	154	41	.	.	PUNCT
bracis-28387	155	1	as	as	SCONJ
bracis-28387	155	2	the	the	DET
bracis-28387	155	3	progression	progression	NOUN
bracis-28387	155	4	toward	toward	ADP
bracis-28387	155	5	alzheimer	alzheimer	PROPN
bracis-28387	155	6	’s	’s	PART
bracis-28387	155	7	diagnosis	diagnosis	NOUN
bracis-28387	155	8	is	be	AUX
bracis-28387	155	9	associated	associate	VERB
bracis-28387	155	10	with	with	ADP
bracis-28387	155	11	aging	age	VERB
bracis-28387	155	12	patterns	pattern	NOUN
bracis-28387	155	13	,	,	PUNCT
bracis-28387	155	14	it	it	PRON
bracis-28387	155	15	is	be	AUX
bracis-28387	155	16	expected	expect	VERB
bracis-28387	155	17	that	that	SCONJ
bracis-28387	155	18	the	the	DET
bracis-28387	155	19	\(\vardelta	\(\vardelta	NOUN
bracis-28387	155	20	_	_	PUNCT
bracis-28387	155	21	{	{	PUNCT
bracis-28387	155	22	ba}\	ba}\	PROPN
bracis-28387	155	23	)	)	PUNCT
bracis-28387	155	24	of	of	ADP
bracis-28387	155	25	a	a	DET
bracis-28387	155	26	subject	subject	NOUN
bracis-28387	155	27	in	in	ADP
bracis-28387	155	28	the	the	DET
bracis-28387	155	29	ad	ad	NOUN
bracis-28387	155	30	group	group	NOUN
bracis-28387	155	31	is	be	AUX
bracis-28387	155	32	greater	great	ADJ
bracis-28387	155	33	than	than	ADP
bracis-28387	155	34	that	that	PRON
bracis-28387	155	35	of	of	ADP
bracis-28387	155	36	a	a	DET
bracis-28387	155	37	subject	subject	NOUN
bracis-28387	155	38	in	in	ADP
bracis-28387	155	39	the	the	DET
bracis-28387	155	40	mci	mci	PROPN
bracis-28387	155	41	group	group	NOUN
bracis-28387	155	42	,	,	PUNCT
bracis-28387	155	43	and	and	CCONJ
bracis-28387	155	44	that	that	SCONJ
bracis-28387	155	45	the	the	DET
bracis-28387	155	46	latter	latter	ADJ
bracis-28387	155	47	’s	’s	PART
bracis-28387	155	48	\(\vardelta	\(\vardelta	NOUN
bracis-28387	155	49	_	_	PUNCT
bracis-28387	155	50	{	{	PUNCT
bracis-28387	155	51	ba}\	ba}\	PROPN
bracis-28387	155	52	)	)	PUNCT
bracis-28387	155	53	is	be	AUX
bracis-28387	155	54	still	still	ADV
bracis-28387	155	55	greater	great	ADJ
bracis-28387	155	56	than	than	ADP
bracis-28387	155	57	the	the	DET
bracis-28387	155	58	\(\vardelta	\(\vardelta	NOUN
bracis-28387	155	59	_	_	PUNCT
bracis-28387	155	60	{	{	PUNCT
bracis-28387	155	61	ba}\	ba}\	PROPN
bracis-28387	155	62	)	)	PUNCT
bracis-28387	155	63	of	of	ADP
bracis-28387	155	64	a	a	DET
bracis-28387	155	65	subject	subject	NOUN
bracis-28387	155	66	in	in	ADP
bracis-28387	155	67	the	the	DET
bracis-28387	155	68	cn	cn	PROPN
bracis-28387	155	69	group	group	NOUN
bracis-28387	155	70	.	.	PUNCT
bracis-28387	156	1	therefore	therefore	ADV
bracis-28387	156	2	,	,	PUNCT
bracis-28387	156	3	we	we	PRON
bracis-28387	156	4	compute	compute	VERB
bracis-28387	156	5	the	the	DET
bracis-28387	156	6	predicted	predict	VERB
bracis-28387	156	7	\(\vardelta	\(\vardelta	X
bracis-28387	156	8	_	_	PUNCT
bracis-28387	156	9	{	{	PUNCT
bracis-28387	156	10	ba}\	ba}\	PROPN
bracis-28387	156	11	)	)	PUNCT
bracis-28387	156	12	for	for	ADP
bracis-28387	156	13	all	all	DET
bracis-28387	156	14	images	image	NOUN
bracis-28387	156	15	in	in	ADP
bracis-28387	156	16	the	the	DET
bracis-28387	156	17	three	three	NUM
bracis-28387	156	18	groups	group	NOUN
bracis-28387	156	19	(	(	PUNCT
bracis-28387	156	20	cn	cn	PROPN
bracis-28387	156	21	,	,	PUNCT
bracis-28387	156	22	mci	mci	NOUN
bracis-28387	156	23	,	,	PUNCT
bracis-28387	156	24	ad	ad	NOUN
bracis-28387	156	25	)	)	PUNCT
bracis-28387	156	26	of	of	ADP
bracis-28387	156	27	the	the	DET
bracis-28387	156	28	test	test	NOUN
bracis-28387	156	29	set	set	VERB
bracis-28387	156	30	and	and	CCONJ
bracis-28387	156	31	apply	apply	VERB
bracis-28387	156	32	a	a	DET
bracis-28387	156	33	pairwise	pairwise	NOUN
bracis-28387	156	34	mann	mann	PROPN
bracis-28387	156	35	-	-	PUNCT
bracis-28387	156	36	whitney	whitney	PROPN
bracis-28387	156	37	u	u	PROPN
bracis-28387	156	38	(	(	PUNCT
bracis-28387	156	39	mwu	mwu	NOUN
bracis-28387	156	40	)	)	PUNCT
bracis-28387	156	41	test	test	NOUN
bracis-28387	156	42	 	 	SPACE
bracis-28387	157	1	[	[	X
bracis-28387	157	2	9	9	NUM
bracis-28387	157	3	,	,	PUNCT
bracis-28387	157	4	23	23	NUM
bracis-28387	157	5	]	]	PUNCT
bracis-28387	157	6	.	.	PUNCT
bracis-28387	158	1	the	the	DET
bracis-28387	158	2	mwu	mwu	NOUN
bracis-28387	158	3	test	test	NOUN
bracis-28387	158	4	is	be	AUX
bracis-28387	158	5	a	a	DET
bracis-28387	158	6	nonparametric	nonparametric	ADJ
bracis-28387	158	7	version	version	NOUN
bracis-28387	158	8	of	of	ADP
bracis-28387	158	9	the	the	DET
bracis-28387	158	10	t	t	NOUN
bracis-28387	158	11	-	-	PUNCT
bracis-28387	158	12	test	test	NOUN
bracis-28387	158	13	for	for	ADP
bracis-28387	158	14	independent	independent	ADJ
bracis-28387	158	15	samples	sample	NOUN
bracis-28387	158	16	.	.	PUNCT
bracis-28387	159	1	in	in	ADP
bracis-28387	159	2	our	our	PRON
bracis-28387	159	3	case	case	NOUN
bracis-28387	159	4	,	,	PUNCT
bracis-28387	159	5	the	the	DET
bracis-28387	159	6	null	null	ADJ
bracis-28387	159	7	hypothesis	hypothesis	NOUN
bracis-28387	159	8	is	be	AUX
bracis-28387	159	9	that	that	SCONJ
bracis-28387	159	10	the	the	DET
bracis-28387	159	11	\(\vardelta	\(\vardelta	NOUN
bracis-28387	159	12	_	_	PUNCT
bracis-28387	159	13	{	{	PUNCT
bracis-28387	159	14	ba}\	ba}\	PROPN
bracis-28387	159	15	)	)	PUNCT
bracis-28387	159	16	from	from	ADP
bracis-28387	159	17	one	one	NUM
bracis-28387	159	18	group	group	NOUN
bracis-28387	159	19	is	be	AUX
bracis-28387	159	20	not	not	PART
bracis-28387	159	21	stochastically	stochastically	ADV
bracis-28387	159	22	greater	great	ADJ
bracis-28387	159	23	than	than	ADP
bracis-28387	159	24	the	the	DET
bracis-28387	159	25	other	other	ADJ
bracis-28387	159	26	.	.	PUNCT
bracis-28387	160	1	4	4	NUM
bracis-28387	160	2	experiments	experiment	NOUN
bracis-28387	160	3	and	and	CCONJ
bracis-28387	160	4	 	 	SPACE
bracis-28387	160	5	results	result	NOUN
bracis-28387	160	6	in	in	ADP
bracis-28387	160	7	our	our	PRON
bracis-28387	160	8	experiments	experiment	NOUN
bracis-28387	160	9	,	,	PUNCT
bracis-28387	160	10	we	we	PRON
bracis-28387	160	11	evaluate	evaluate	VERB
bracis-28387	160	12	the	the	DET
bracis-28387	160	13	impact	impact	NOUN
bracis-28387	160	14	of	of	ADP
bracis-28387	160	15	brain	brain	NOUN
bracis-28387	160	16	-	-	PUNCT
bracis-28387	160	17	related	relate	VERB
bracis-28387	160	18	pre	pre	ADJ
bracis-28387	160	19	-	-	NOUN
bracis-28387	160	20	training	training	NOUN
bracis-28387	160	21	using	use	VERB
bracis-28387	160	22	3	3	NUM
bracis-28387	160	23	backbones	backbone	NOUN
bracis-28387	160	24	:	:	PUNCT
bracis-28387	160	25	the	the	DET
bracis-28387	160	26	u	u	NOUN
bracis-28387	160	27	-	-	NOUN
bracis-28387	160	28	net	net	ADJ
bracis-28387	160	29	with	with	ADP
bracis-28387	160	30	random	random	ADJ
bracis-28387	160	31	initialization	initialization	NOUN
bracis-28387	160	32	,	,	PUNCT
bracis-28387	160	33	resunet	resunet	ADJ
bracis-28387	160	34	with	with	ADP
bracis-28387	160	35	random	random	ADJ
bracis-28387	160	36	initialization	initialization	NOUN
bracis-28387	160	37	,	,	PUNCT
bracis-28387	160	38	and	and	CCONJ
bracis-28387	160	39	resunet	resunet	ADJ
bracis-28387	160	40	pre	pre	VERB
bracis-28387	160	41	-	-	VERB
bracis-28387	160	42	trained	train	VERB
bracis-28387	160	43	on	on	ADP
bracis-28387	160	44	the	the	DET
bracis-28387	160	45	imagenet	imagenet	NOUN
bracis-28387	160	46	.	.	PUNCT
bracis-28387	161	1	to	to	PART
bracis-28387	161	2	improve	improve	VERB
bracis-28387	161	3	the	the	DET
bracis-28387	161	4	reliability	reliability	NOUN
bracis-28387	161	5	of	of	ADP
bracis-28387	161	6	our	our	PRON
bracis-28387	161	7	results	result	NOUN
bracis-28387	161	8	,	,	PUNCT
bracis-28387	161	9	5	5	NUM
bracis-28387	161	10	models	model	NOUN
bracis-28387	161	11	are	be	AUX
bracis-28387	161	12	trained	train	VERB
bracis-28387	161	13	for	for	ADP
bracis-28387	161	14	each	each	DET
bracis-28387	161	15	experiment	experiment	NOUN
bracis-28387	161	16	,	,	PUNCT
bracis-28387	161	17	e.g.	e.g.	ADV
bracis-28387	161	18	,	,	PUNCT
bracis-28387	161	19	5	5	NUM
bracis-28387	161	20	u	u	NOUN
bracis-28387	161	21	-	-	ADJ
bracis-28387	161	22	net	net	ADJ
bracis-28387	161	23	models	model	NOUN
bracis-28387	161	24	with	with	ADP
bracis-28387	161	25	random	random	ADJ
bracis-28387	161	26	weight	weight	NOUN
bracis-28387	161	27	initializations	initialization	NOUN
bracis-28387	161	28	are	be	AUX
bracis-28387	161	29	evaluated	evaluate	VERB
bracis-28387	161	30	without	without	ADP
bracis-28387	161	31	brain	brain	NOUN
bracis-28387	161	32	-	-	PUNCT
bracis-28387	161	33	related	relate	VERB
bracis-28387	161	34	pre	pre	ADJ
bracis-28387	161	35	-	-	NOUN
bracis-28387	161	36	training	training	NOUN
bracis-28387	161	37	,	,	PUNCT
bracis-28387	161	38	against	against	ADP
bracis-28387	161	39	5	5	NUM
bracis-28387	161	40	(	(	PUNCT
bracis-28387	161	41	different	different	ADJ
bracis-28387	161	42	)	)	PUNCT
bracis-28387	161	43	u	u	NOUN
bracis-28387	161	44	-	-	ADJ
bracis-28387	161	45	net	net	ADJ
bracis-28387	161	46	models	model	NOUN
bracis-28387	161	47	with	with	ADP
bracis-28387	161	48	brain	brain	NOUN
bracis-28387	161	49	-	-	PUNCT
bracis-28387	161	50	related	relate	VERB
bracis-28387	161	51	pre	pre	NOUN
bracis-28387	161	52	-	-	NOUN
bracis-28387	161	53	training	training	NOUN
bracis-28387	161	54	.	.	PUNCT
bracis-28387	162	1	in	in	ADP
bracis-28387	162	2	other	other	ADJ
bracis-28387	162	3	words	word	NOUN
bracis-28387	162	4	,	,	PUNCT
bracis-28387	162	5	for	for	ADP
bracis-28387	162	6	each	each	PRON
bracis-28387	162	7	of	of	ADP
bracis-28387	162	8	the	the	DET
bracis-28387	162	9	3	3	NUM
bracis-28387	162	10	backbones	backbone	NOUN
bracis-28387	162	11	,	,	PUNCT
bracis-28387	162	12	we	we	PRON
bracis-28387	162	13	train	train	VERB
bracis-28387	162	14	10	10	NUM
bracis-28387	162	15	models	model	NOUN
bracis-28387	162	16	:	:	PUNCT
bracis-28387	162	17	5	5	NUM
bracis-28387	162	18	with	with	ADP
bracis-28387	162	19	no	no	DET
bracis-28387	162	20	brain	brain	NOUN
bracis-28387	162	21	-	-	PUNCT
bracis-28387	162	22	related	relate	VERB
bracis-28387	162	23	pre	pre	ADJ
bracis-28387	162	24	-	-	NOUN
bracis-28387	162	25	training	training	NOUN
bracis-28387	162	26	,	,	PUNCT
bracis-28387	162	27	and	and	CCONJ
bracis-28387	162	28	5	5	NUM
bracis-28387	162	29	with	with	ADP
bracis-28387	162	30	brain	brain	NOUN
bracis-28387	162	31	-	-	PUNCT
bracis-28387	162	32	related	relate	VERB
bracis-28387	162	33	pre	pre	NOUN
bracis-28387	162	34	-	-	NOUN
bracis-28387	162	35	training	training	NOUN
bracis-28387	162	36	.	.	PUNCT
bracis-28387	163	1	all	all	DET
bracis-28387	163	2	experiments	experiment	NOUN
bracis-28387	163	3	reported	report	VERB
bracis-28387	163	4	below	below	ADV
bracis-28387	163	5	were	be	AUX
bracis-28387	163	6	performed	perform	VERB
bracis-28387	163	7	on	on	ADP
bracis-28387	163	8	a	a	DET
bracis-28387	163	9	linux	linux	NOUN
bracis-28387	163	10	machine	machine	NOUN
bracis-28387	163	11	with	with	ADP
bracis-28387	163	12	8	8	NUM
bracis-28387	163	13	vcpus	vcpu	NOUN
bracis-28387	163	14	,	,	PUNCT
bracis-28387	163	15	30	30	NUM
bracis-28387	163	16	 	 	SPACE
bracis-28387	163	17	gb	gb	NOUN
bracis-28387	163	18	of	of	ADP
bracis-28387	163	19	ram	ram	NOUN
bracis-28387	163	20	and	and	CCONJ
bracis-28387	163	21	an	an	DET
bracis-28387	163	22	nvidia	nvidia	PROPN
bracis-28387	163	23	t4	t4	PROPN
bracis-28387	163	24	gpu	gpu	PROPN
bracis-28387	163	25	.	.	PROPN
bracis-28387	164	1	further	further	ADJ
bracis-28387	164	2	details	detail	NOUN
bracis-28387	164	3	regarding	regard	VERB
bracis-28387	164	4	the	the	DET
bracis-28387	164	5	implementation	implementation	NOUN
bracis-28387	164	6	of	of	ADP
bracis-28387	164	7	the	the	DET
bracis-28387	164	8	experiments	experiment	NOUN
bracis-28387	164	9	and	and	CCONJ
bracis-28387	164	10	additional	additional	ADJ
bracis-28387	164	11	results	result	NOUN
bracis-28387	164	12	can	can	AUX
bracis-28387	164	13	be	be	AUX
bracis-28387	164	14	seen	see	VERB
bracis-28387	164	15	in	in	ADP
bracis-28387	164	16	code	code	NOUN
bracis-28387	164	17	our	our	PRON
bracis-28387	164	18	repositoryfootnote	repositoryfootnote	NOUN
bracis-28387	164	19	5	5	NUM
bracis-28387	164	20	.	.	NOUN
bracis-28387	164	21	4.1	4.1	NUM
bracis-28387	164	22	pre	pre	NOUN
bracis-28387	164	23	-	-	NOUN
bracis-28387	164	24	training	train	VERB
bracis-28387	164	25	on	on	ADP
bracis-28387	164	26	 	 	SPACE
bracis-28387	164	27	brats	brat	NOUN
bracis-28387	164	28	following	follow	VERB
bracis-28387	164	29	the	the	DET
bracis-28387	164	30	procedure	procedure	NOUN
bracis-28387	164	31	described	describe	VERB
bracis-28387	164	32	in	in	ADP
bracis-28387	164	33	sect	sect	NOUN
bracis-28387	164	34	.	.	PUNCT
bracis-28387	165	1	3.4	3.4	NUM
bracis-28387	165	2	,	,	PUNCT
bracis-28387	165	3	we	we	PRON
bracis-28387	165	4	trained	train	VERB
bracis-28387	165	5	5	5	NUM
bracis-28387	165	6	u	u	ADJ
bracis-28387	165	7	-	-	ADJ
bracis-28387	165	8	net	net	ADJ
bracis-28387	165	9	models	model	NOUN
bracis-28387	165	10	and	and	CCONJ
bracis-28387	165	11	5	5	NUM
bracis-28387	165	12	resunet	resunet	ADJ
bracis-28387	165	13	models	model	NOUN
bracis-28387	165	14	with	with	ADP
bracis-28387	165	15	random	random	ADJ
bracis-28387	165	16	initialization	initialization	NOUN
bracis-28387	165	17	on	on	ADP
bracis-28387	165	18	the	the	DET
bracis-28387	165	19	brain	brain	NOUN
bracis-28387	165	20	tumor	tumor	PROPN
bracis-28387	165	21	segmentation	segmentation	NOUN
bracis-28387	165	22	task	task	NOUN
bracis-28387	165	23	.	.	PUNCT
bracis-28387	166	1	we	we	PRON
bracis-28387	166	2	also	also	ADV
bracis-28387	166	3	used	use	VERB
bracis-28387	166	4	the	the	DET
bracis-28387	166	5	backbone	backbone	NOUN
bracis-28387	166	6	from	from	ADP
bracis-28387	166	7	resnets	resnet	NOUN
bracis-28387	166	8	pre	pre	VERB
bracis-28387	166	9	-	-	VERB
bracis-28387	166	10	trained	train	VERB
bracis-28387	166	11	on	on	ADP
bracis-28387	166	12	the	the	DET
bracis-28387	166	13	imagenet	imagenet	NOUN
bracis-28387	166	14	’s	’s	PART
bracis-28387	166	15	natural	natural	ADJ
bracis-28387	166	16	image	image	NOUN
bracis-28387	166	17	classification	classification	NOUN
bracis-28387	166	18	task	task	NOUN
bracis-28387	166	19	,	,	PUNCT
bracis-28387	166	20	therefore	therefore	ADV
bracis-28387	166	21	,	,	PUNCT
bracis-28387	166	22	we	we	PRON
bracis-28387	166	23	trained	train	VERB
bracis-28387	166	24	5	5	NUM
bracis-28387	166	25	resunet	resunet	ADJ
bracis-28387	166	26	models	model	NOUN
bracis-28387	166	27	using	use	VERB
bracis-28387	166	28	the	the	DET
bracis-28387	166	29	imagenet	imagenet	NOUN
bracis-28387	166	30	pre	pre	ADJ
bracis-28387	166	31	-	-	ADJ
bracis-28387	166	32	trained	train	VERB
bracis-28387	166	33	backbone	backbone	NOUN
bracis-28387	166	34	.	.	PUNCT
bracis-28387	167	1	imagenet	imagenet	PROPN
bracis-28387	167	2	pre	pre	ADJ
bracis-28387	167	3	-	-	ADJ
bracis-28387	167	4	trained	train	VERB
bracis-28387	167	5	models	model	NOUN
bracis-28387	167	6	are	be	AUX
bracis-28387	167	7	readily	readily	ADV
bracis-28387	167	8	available	available	ADJ
bracis-28387	167	9	in	in	ADP
bracis-28387	167	10	the	the	DET
bracis-28387	167	11	torchvision	torchvision	NOUN
bracis-28387	167	12	package	package	NOUN
bracis-28387	167	13	.	.	PUNCT
bracis-28387	168	1	using	use	VERB
bracis-28387	168	2	an	an	DET
bracis-28387	168	3	80	80	NUM
bracis-28387	168	4	-	-	SYM
bracis-28387	168	5	20	20	NUM
bracis-28387	168	6	random	random	ADJ
bracis-28387	168	7	split	split	NOUN
bracis-28387	168	8	,	,	PUNCT
bracis-28387	168	9	we	we	PRON
bracis-28387	168	10	observed	observe	VERB
bracis-28387	168	11	that	that	SCONJ
bracis-28387	168	12	30	30	NUM
bracis-28387	168	13	epochs	epoch	NOUN
bracis-28387	168	14	were	be	AUX
bracis-28387	168	15	enough	enough	ADJ
bracis-28387	168	16	to	to	PART
bracis-28387	168	17	achieve	achieve	VERB
bracis-28387	168	18	peak	peak	NOUN
bracis-28387	168	19	performance	performance	NOUN
bracis-28387	168	20	and	and	CCONJ
bracis-28387	168	21	avoid	avoid	VERB
bracis-28387	168	22	overfitting	overfitte	VERB
bracis-28387	168	23	for	for	ADP
bracis-28387	168	24	the	the	DET
bracis-28387	168	25	u	u	ADJ
bracis-28387	168	26	-	-	ADJ
bracis-28387	168	27	net	net	ADJ
bracis-28387	168	28	models	model	NOUN
bracis-28387	168	29	,	,	PUNCT
bracis-28387	168	30	while	while	SCONJ
bracis-28387	168	31	50	50	NUM
bracis-28387	168	32	epochs	epoch	NOUN
bracis-28387	168	33	were	be	AUX
bracis-28387	168	34	enough	enough	ADJ
bracis-28387	168	35	for	for	ADP
bracis-28387	168	36	the	the	DET
bracis-28387	168	37	resunet	resunet	ADJ
bracis-28387	168	38	models	model	NOUN
bracis-28387	168	39	.	.	PUNCT
bracis-28387	169	1	the	the	DET
bracis-28387	169	2	average	average	ADJ
bracis-28387	169	3	performance	performance	NOUN
bracis-28387	169	4	of	of	ADP
bracis-28387	169	5	these	these	DET
bracis-28387	169	6	models	model	NOUN
bracis-28387	169	7	on	on	ADP
bracis-28387	169	8	the	the	DET
bracis-28387	169	9	random	random	ADJ
bracis-28387	169	10	split	split	NOUN
bracis-28387	169	11	can	can	AUX
bracis-28387	169	12	be	be	AUX
bracis-28387	169	13	seen	see	VERB
bracis-28387	169	14	in	in	ADP
bracis-28387	169	15	table	table	NOUN
bracis-28387	169	16	 	 	SPACE
bracis-28387	169	17	3	3	NUM
bracis-28387	169	18	.	.	PUNCT
bracis-28387	170	1	we	we	PRON
bracis-28387	170	2	highlight	highlight	VERB
bracis-28387	170	3	that	that	SCONJ
bracis-28387	170	4	the	the	DET
bracis-28387	170	5	models	model	NOUN
bracis-28387	170	6	present	present	VERB
bracis-28387	170	7	performance	performance	NOUN
bracis-28387	170	8	on	on	ADP
bracis-28387	170	9	par	par	NOUN
bracis-28387	170	10	with	with	ADP
bracis-28387	170	11	state	state	NOUN
bracis-28387	170	12	-	-	PUNCT
bracis-28387	170	13	of	of	ADP
bracis-28387	170	14	-	-	PUNCT
bracis-28387	170	15	the	the	DET
bracis-28387	170	16	-	-	PUNCT
bracis-28387	170	17	art	art	NOUN
bracis-28387	170	18	brain	brain	NOUN
bracis-28387	170	19	tumor	tumor	NOUN
bracis-28387	170	20	segmentation	segmentation	NOUN
bracis-28387	170	21	models	model	NOUN
bracis-28387	170	22	[	[	X
bracis-28387	170	23	3	3	NUM
bracis-28387	170	24	]	]	PUNCT
bracis-28387	170	25	.	.	PUNCT
bracis-28387	171	1	all	all	DET
bracis-28387	171	2	models	model	NOUN
bracis-28387	171	3	were	be	AUX
bracis-28387	171	4	then	then	ADV
bracis-28387	171	5	re	re	VERB
bracis-28387	171	6	-	-	VERB
bracis-28387	171	7	trained	train	VERB
bracis-28387	171	8	(	(	PUNCT
bracis-28387	171	9	with	with	ADP
bracis-28387	171	10	new	new	ADJ
bracis-28387	171	11	initial	initial	ADJ
bracis-28387	171	12	random	random	ADJ
bracis-28387	171	13	weights	weight	NOUN
bracis-28387	171	14	)	)	PUNCT
bracis-28387	171	15	on	on	ADP
bracis-28387	171	16	the	the	DET
bracis-28387	171	17	entirety	entirety	NOUN
bracis-28387	171	18	of	of	ADP
bracis-28387	171	19	the	the	DET
bracis-28387	171	20	dataset	dataset	NOUN
bracis-28387	171	21	for	for	ADP
bracis-28387	171	22	the	the	DET
bracis-28387	171	23	same	same	ADJ
bracis-28387	171	24	number	number	NOUN
bracis-28387	171	25	of	of	ADP
bracis-28387	171	26	epochs	epoch	NOUN
bracis-28387	171	27	.	.	PUNCT
bracis-28387	172	1	table	table	NOUN
bracis-28387	172	2	3	3	NUM
bracis-28387	172	3	.	.	PUNCT
bracis-28387	173	1	performance	performance	NOUN
bracis-28387	173	2	of	of	ADP
bracis-28387	173	3	the	the	DET
bracis-28387	173	4	models	model	NOUN
bracis-28387	173	5	on	on	ADP
bracis-28387	173	6	an	an	DET
bracis-28387	173	7	80	80	NUM
bracis-28387	173	8	-	-	SYM
bracis-28387	173	9	20	20	NUM
bracis-28387	173	10	split	split	NOUN
bracis-28387	173	11	of	of	ADP
bracis-28387	173	12	the	the	DET
bracis-28387	173	13	brats	brat	NOUN
bracis-28387	173	14	dataset	dataset	VERB
bracis-28387	173	15	.	.	PUNCT
bracis-28387	174	1	models	model	NOUN
bracis-28387	174	2	were	be	AUX
bracis-28387	174	3	trained	train	VERB
bracis-28387	174	4	on	on	ADP
bracis-28387	174	5	80	80	NUM
bracis-28387	174	6	%	%	NOUN
bracis-28387	174	7	of	of	ADP
bracis-28387	174	8	the	the	DET
bracis-28387	174	9	data	datum	NOUN
bracis-28387	174	10	and	and	CCONJ
bracis-28387	174	11	evaluated	evaluate	VERB
bracis-28387	174	12	on	on	ADP
bracis-28387	174	13	20	20	NUM
bracis-28387	174	14	%	%	NOUN
bracis-28387	174	15	.	.	PUNCT
bracis-28387	175	1	reported	report	VERB
bracis-28387	175	2	values	value	NOUN
bracis-28387	175	3	are	be	AUX
bracis-28387	175	4	the	the	DET
bracis-28387	175	5	average	average	ADJ
bracis-28387	175	6	(	(	PUNCT
bracis-28387	175	7	and	and	CCONJ
bracis-28387	175	8	standard	standard	ADJ
bracis-28387	175	9	deviation	deviation	NOUN
bracis-28387	175	10	)	)	PUNCT
bracis-28387	175	11	of	of	ADP
bracis-28387	175	12	5	5	NUM
bracis-28387	175	13	runs	run	NOUN
bracis-28387	175	14	with	with	ADP
bracis-28387	175	15	random	random	ADJ
bracis-28387	175	16	initialization	initialization	NOUN
bracis-28387	175	17	,	,	PUNCT
bracis-28387	175	18	except	except	SCONJ
bracis-28387	175	19	for	for	ADP
bracis-28387	175	20	the	the	DET
bracis-28387	175	21	backbone	backbone	NOUN
bracis-28387	175	22	of	of	ADP
bracis-28387	175	23	the	the	DET
bracis-28387	175	24	resunet	resunet	NOUN
bracis-28387	175	25	that	that	PRON
bracis-28387	175	26	uses	use	VERB
bracis-28387	175	27	the	the	DET
bracis-28387	175	28	backbone	backbone	NOUN
bracis-28387	175	29	of	of	ADP
bracis-28387	175	30	the	the	DET
bracis-28387	175	31	resnet	resnet	NOUN
bracis-28387	175	32	pre	pre	VERB
bracis-28387	175	33	-	-	VERB
bracis-28387	175	34	trained	train	VERB
bracis-28387	175	35	on	on	ADP
bracis-28387	175	36	imagenet	imagenet	NOUN
bracis-28387	175	37	on	on	ADP
bracis-28387	175	38	all	all	DET
bracis-28387	175	39	runs.full	runs.full	ADJ
bracis-28387	175	40	size	size	NOUN
bracis-28387	175	41	table	table	NOUN
bracis-28387	175	42	4.2	4.2	NUM
bracis-28387	175	43	brain	brain	NOUN
bracis-28387	175	44	age	age	NOUN
bracis-28387	175	45	prediction	prediction	NOUN
bracis-28387	175	46	we	we	PRON
bracis-28387	175	47	train	train	VERB
bracis-28387	175	48	5	5	NUM
bracis-28387	175	49	models	model	NOUN
bracis-28387	175	50	of	of	ADP
bracis-28387	175	51	each	each	DET
bracis-28387	175	52	combination	combination	NOUN
bracis-28387	175	53	of	of	ADP
bracis-28387	175	54	backbone	backbone	NOUN
bracis-28387	175	55	and	and	CCONJ
bracis-28387	175	56	pre	pre	ADJ
bracis-28387	175	57	-	-	ADJ
bracis-28387	175	58	training	training	ADJ
bracis-28387	175	59	available	available	ADJ
bracis-28387	175	60	.	.	PUNCT
bracis-28387	176	1	namely	namely	ADV
bracis-28387	176	2	:	:	PUNCT
bracis-28387	176	3	u	u	ADJ
bracis-28387	176	4	-	-	ADJ
bracis-28387	176	5	net	net	ADJ
bracis-28387	176	6	backbone	backbone	NOUN
bracis-28387	176	7	with	with	ADP
bracis-28387	176	8	random	random	ADJ
bracis-28387	176	9	initialization	initialization	NOUN
bracis-28387	176	10	or	or	CCONJ
bracis-28387	176	11	pre	pre	VERB
bracis-28387	176	12	-	-	VERB
bracis-28387	176	13	trained	train	VERB
bracis-28387	176	14	on	on	ADP
bracis-28387	176	15	brats	brat	NOUN
bracis-28387	176	16	;	;	PUNCT
bracis-28387	176	17	resnet	resnet	NOUN
bracis-28387	176	18	backbone	backbone	NOUN
bracis-28387	176	19	with	with	ADP
bracis-28387	176	20	random	random	ADJ
bracis-28387	176	21	initialization	initialization	NOUN
bracis-28387	176	22	or	or	CCONJ
bracis-28387	176	23	pre	pre	VERB
bracis-28387	176	24	-	-	VERB
bracis-28387	176	25	trained	train	VERB
bracis-28387	176	26	on	on	ADP
bracis-28387	176	27	brats	brat	NOUN
bracis-28387	176	28	;	;	PUNCT
bracis-28387	176	29	and	and	CCONJ
bracis-28387	176	30	resnet	resnet	NOUN
bracis-28387	176	31	backbone	backbone	NOUN
bracis-28387	176	32	pre	pre	VERB
bracis-28387	176	33	-	-	VERB
bracis-28387	176	34	trained	train	VERB
bracis-28387	176	35	on	on	ADP
bracis-28387	176	36	imagenet	imagenet	NOUN
bracis-28387	176	37	or	or	CCONJ
bracis-28387	176	38	pre	pre	VERB
bracis-28387	176	39	-	-	VERB
bracis-28387	176	40	trained	train	VERB
bracis-28387	176	41	on	on	ADP
bracis-28387	176	42	imagenet	imagenet	NOUN
bracis-28387	176	43	and	and	CCONJ
bracis-28387	176	44	then	then	ADV
bracis-28387	176	45	on	on	ADP
bracis-28387	176	46	brats	brat	NOUN
bracis-28387	176	47	.	.	PUNCT
bracis-28387	177	1	as	as	SCONJ
bracis-28387	177	2	described	describe	VERB
bracis-28387	177	3	in	in	ADP
bracis-28387	177	4	sect	sect	NOUN
bracis-28387	177	5	.	.	PUNCT
bracis-28387	178	1	3.5	3.5	NUM
bracis-28387	178	2	,	,	PUNCT
bracis-28387	178	3	we	we	PRON
bracis-28387	178	4	use	use	VERB
bracis-28387	178	5	the	the	DET
bracis-28387	178	6	validation	validation	NOUN
bracis-28387	178	7	set	set	VERB
bracis-28387	178	8	to	to	PART
bracis-28387	178	9	define	define	VERB
bracis-28387	178	10	the	the	DET
bracis-28387	178	11	best	good	ADJ
bracis-28387	178	12	set	set	NOUN
bracis-28387	178	13	of	of	ADP
bracis-28387	178	14	hyperparameters	hyperparameter	NOUN
bracis-28387	178	15	for	for	ADP
bracis-28387	178	16	each	each	DET
bracis-28387	178	17	backbone	backbone	NOUN
bracis-28387	178	18	and	and	CCONJ
bracis-28387	178	19	pre	pre	ADJ
bracis-28387	178	20	-	-	ADJ
bracis-28387	178	21	training	training	ADJ
bracis-28387	178	22	combination	combination	NOUN
bracis-28387	178	23	.	.	PUNCT
bracis-28387	179	1	more	more	ADV
bracis-28387	179	2	specifically	specifically	ADV
bracis-28387	179	3	,	,	PUNCT
bracis-28387	179	4	we	we	PRON
bracis-28387	179	5	used	use	VERB
bracis-28387	179	6	a	a	DET
bracis-28387	179	7	batch	batch	NOUN
bracis-28387	179	8	size	size	NOUN
bracis-28387	179	9	of	of	ADP
bracis-28387	179	10	64	64	NUM
bracis-28387	179	11	images	image	NOUN
bracis-28387	179	12	for	for	ADP
bracis-28387	179	13	all	all	DET
bracis-28387	179	14	models	model	NOUN
bracis-28387	179	15	and	and	CCONJ
bracis-28387	179	16	a	a	DET
bracis-28387	179	17	learning	learning	NOUN
bracis-28387	179	18	rate	rate	NOUN
bracis-28387	179	19	of	of	ADP
bracis-28387	179	20	\(10^{-3}\	\(10^{-3}\	NOUN
bracis-28387	179	21	)	)	PUNCT
bracis-28387	179	22	for	for	ADP
bracis-28387	179	23	the	the	DET
bracis-28387	179	24	models	model	NOUN
bracis-28387	179	25	with	with	ADP
bracis-28387	179	26	u	u	ADJ
bracis-28387	179	27	-	-	ADJ
bracis-28387	179	28	net	net	ADJ
bracis-28387	179	29	backbone	backbone	NOUN
bracis-28387	179	30	without	without	ADP
bracis-28387	179	31	pre	pre	ADJ
bracis-28387	179	32	-	-	NOUN
bracis-28387	179	33	training	training	NOUN
bracis-28387	179	34	,	,	PUNCT
bracis-28387	179	35	\(10^{-5}\	\(10^{-5}\	VERB
bracis-28387	179	36	)	)	PUNCT
bracis-28387	179	37	for	for	ADP
bracis-28387	179	38	the	the	DET
bracis-28387	179	39	models	model	NOUN
bracis-28387	179	40	with	with	ADP
bracis-28387	179	41	resnet	resnet	NOUN
bracis-28387	179	42	backbone	backbone	NOUN
bracis-28387	179	43	with	with	ADP
bracis-28387	179	44	imagenet	imagenet	NOUN
bracis-28387	179	45	and	and	CCONJ
bracis-28387	179	46	brats	brat	NOUN
bracis-28387	179	47	pre	pre	ADJ
bracis-28387	179	48	-	-	NOUN
bracis-28387	179	49	training	training	ADJ
bracis-28387	179	50	,	,	PUNCT
bracis-28387	179	51	and	and	CCONJ
bracis-28387	179	52	\(10^{-4}\	\(10^{-4}\	NOUN
bracis-28387	179	53	)	)	PUNCT
bracis-28387	179	54	for	for	ADP
bracis-28387	179	55	all	all	DET
bracis-28387	179	56	other	other	ADJ
bracis-28387	179	57	models	model	NOUN
bracis-28387	179	58	.	.	PUNCT
bracis-28387	180	1	we	we	PRON
bracis-28387	180	2	trained	train	VERB
bracis-28387	180	3	all	all	DET
bracis-28387	180	4	models	model	NOUN
bracis-28387	180	5	for	for	ADP
bracis-28387	180	6	50	50	NUM
bracis-28387	180	7	epochs	epoch	NOUN
bracis-28387	180	8	,	,	PUNCT
bracis-28387	180	9	early	early	ADV
bracis-28387	180	10	-	-	PUNCT
bracis-28387	180	11	stopping	stop	VERB
bracis-28387	180	12	the	the	DET
bracis-28387	180	13	training	training	NOUN
bracis-28387	180	14	when	when	SCONJ
bracis-28387	180	15	a	a	DET
bracis-28387	180	16	running	running	NOUN
bracis-28387	180	17	average	average	NOUN
bracis-28387	180	18	of	of	ADP
bracis-28387	180	19	the	the	DET
bracis-28387	180	20	mae	mae	PROPN
bracis-28387	180	21	on	on	ADP
bracis-28387	180	22	the	the	DET
bracis-28387	180	23	validation	validation	NOUN
bracis-28387	180	24	set	set	NOUN
bracis-28387	180	25	achieved	achieve	VERB
bracis-28387	180	26	the	the	DET
bracis-28387	180	27	smallest	small	ADJ
bracis-28387	180	28	value	value	NOUN
bracis-28387	180	29	.	.	PUNCT
bracis-28387	181	1	the	the	DET
bracis-28387	181	2	average	average	ADJ
bracis-28387	181	3	performance	performance	NOUN
bracis-28387	181	4	of	of	ADP
bracis-28387	181	5	the	the	DET
bracis-28387	181	6	models	model	NOUN
bracis-28387	181	7	on	on	ADP
bracis-28387	181	8	the	the	DET
bracis-28387	181	9	test	test	NOUN
bracis-28387	181	10	set	set	NOUN
bracis-28387	181	11	can	can	AUX
bracis-28387	181	12	be	be	AUX
bracis-28387	181	13	seen	see	VERB
bracis-28387	181	14	in	in	ADP
bracis-28387	181	15	table	table	NOUN
bracis-28387	181	16	 	 	SPACE
bracis-28387	181	17	4	4	NUM
bracis-28387	181	18	.	.	PUNCT
bracis-28387	182	1	furthermore	furthermore	ADV
bracis-28387	182	2	,	,	PUNCT
bracis-28387	182	3	after	after	ADP
bracis-28387	182	4	hyperparameter	hyperparameter	NOUN
bracis-28387	182	5	tuning	tuning	NOUN
bracis-28387	182	6	,	,	PUNCT
bracis-28387	182	7	we	we	PRON
bracis-28387	182	8	re	re	VERB
bracis-28387	182	9	-	-	VERB
bracis-28387	182	10	train	train	VERB
bracis-28387	182	11	the	the	DET
bracis-28387	182	12	models	model	NOUN
bracis-28387	182	13	on	on	ADP
bracis-28387	182	14	the	the	DET
bracis-28387	182	15	union	union	NOUN
bracis-28387	182	16	of	of	ADP
bracis-28387	182	17	the	the	DET
bracis-28387	182	18	training	training	NOUN
bracis-28387	182	19	and	and	CCONJ
bracis-28387	182	20	the	the	DET
bracis-28387	182	21	validation	validation	NOUN
bracis-28387	182	22	sets	set	NOUN
bracis-28387	182	23	.	.	PUNCT
bracis-28387	183	1	this	this	PRON
bracis-28387	183	2	increases	increase	VERB
bracis-28387	183	3	the	the	DET
bracis-28387	183	4	amount	amount	NOUN
bracis-28387	183	5	of	of	ADP
bracis-28387	183	6	data	datum	NOUN
bracis-28387	183	7	used	use	VERB
bracis-28387	183	8	for	for	ADP
bracis-28387	183	9	training	training	NOUN
bracis-28387	183	10	and	and	CCONJ
bracis-28387	183	11	increases	increase	VERB
bracis-28387	183	12	the	the	DET
bracis-28387	183	13	similarity	similarity	NOUN
bracis-28387	183	14	between	between	ADP
bracis-28387	183	15	the	the	DET
bracis-28387	183	16	distribution	distribution	NOUN
bracis-28387	183	17	of	of	ADP
bracis-28387	183	18	the	the	DET
bracis-28387	183	19	training	training	NOUN
bracis-28387	183	20	data	datum	NOUN
bracis-28387	183	21	and	and	CCONJ
bracis-28387	183	22	the	the	DET
bracis-28387	183	23	test	test	NOUN
bracis-28387	183	24	data	datum	NOUN
bracis-28387	183	25	,	,	PUNCT
bracis-28387	183	26	as	as	SCONJ
bracis-28387	183	27	both	both	PRON
bracis-28387	183	28	validation	validation	NOUN
bracis-28387	183	29	and	and	CCONJ
bracis-28387	183	30	test	test	NOUN
bracis-28387	183	31	sets	set	NOUN
bracis-28387	183	32	are	be	AUX
bracis-28387	183	33	drawn	draw	VERB
bracis-28387	183	34	from	from	ADP
bracis-28387	183	35	the	the	DET
bracis-28387	183	36	same	same	ADJ
bracis-28387	183	37	study	study	NOUN
bracis-28387	183	38	(	(	PUNCT
bracis-28387	183	39	adni-1	adni-1	NUM
bracis-28387	183	40	)	)	PUNCT
bracis-28387	183	41	.	.	PUNCT
bracis-28387	184	1	we	we	PRON
bracis-28387	184	2	defined	define	VERB
bracis-28387	184	3	the	the	DET
bracis-28387	184	4	training	training	NOUN
bracis-28387	184	5	budget	budget	NOUN
bracis-28387	184	6	for	for	ADP
bracis-28387	184	7	each	each	DET
bracis-28387	184	8	backbone	backbone	NOUN
bracis-28387	184	9	and	and	CCONJ
bracis-28387	184	10	pre	pre	ADJ
bracis-28387	184	11	-	-	ADJ
bracis-28387	184	12	training	training	ADJ
bracis-28387	184	13	combination	combination	NOUN
bracis-28387	184	14	as	as	ADP
bracis-28387	184	15	the	the	DET
bracis-28387	184	16	average	average	NOUN
bracis-28387	184	17	of	of	ADP
bracis-28387	184	18	the	the	DET
bracis-28387	184	19	epochs	epoch	NOUN
bracis-28387	184	20	in	in	ADP
bracis-28387	184	21	which	which	PRON
bracis-28387	184	22	the	the	DET
bracis-28387	184	23	respective	respective	ADJ
bracis-28387	184	24	5	5	NUM
bracis-28387	184	25	models	model	NOUN
bracis-28387	184	26	achieved	achieve	VERB
bracis-28387	184	27	the	the	DET
bracis-28387	184	28	early	early	ADV
bracis-28387	184	29	-	-	PUNCT
bracis-28387	184	30	stopping	stop	VERB
bracis-28387	184	31	criterion	criterion	NOUN
bracis-28387	184	32	on	on	ADP
bracis-28387	184	33	the	the	DET
bracis-28387	184	34	validation	validation	NOUN
bracis-28387	184	35	set	set	NOUN
bracis-28387	184	36	.	.	PUNCT
bracis-28387	185	1	note	note	VERB
bracis-28387	185	2	that	that	SCONJ
bracis-28387	185	3	the	the	DET
bracis-28387	185	4	test	test	NOUN
bracis-28387	185	5	set	set	NOUN
bracis-28387	185	6	is	be	AUX
bracis-28387	185	7	not	not	PART
bracis-28387	185	8	considered	consider	VERB
bracis-28387	185	9	in	in	ADP
bracis-28387	185	10	any	any	DET
bracis-28387	185	11	step	step	NOUN
bracis-28387	185	12	of	of	ADP
bracis-28387	185	13	this	this	DET
bracis-28387	185	14	process	process	NOUN
bracis-28387	185	15	,	,	PUNCT
bracis-28387	185	16	therefore	therefore	ADV
bracis-28387	185	17	,	,	PUNCT
bracis-28387	185	18	no	no	DET
bracis-28387	185	19	data	datum	NOUN
bracis-28387	185	20	leakage	leakage	NOUN
bracis-28387	185	21	occurs	occur	VERB
bracis-28387	185	22	.	.	PUNCT
bracis-28387	186	1	the	the	DET
bracis-28387	186	2	average	average	ADJ
bracis-28387	186	3	test	test	NOUN
bracis-28387	186	4	set	set	VERB
bracis-28387	186	5	performance	performance	NOUN
bracis-28387	186	6	of	of	ADP
bracis-28387	186	7	the	the	DET
bracis-28387	186	8	models	model	NOUN
bracis-28387	186	9	trained	train	VERB
bracis-28387	186	10	on	on	ADP
bracis-28387	186	11	the	the	DET
bracis-28387	186	12	training	training	NOUN
bracis-28387	186	13	and	and	CCONJ
bracis-28387	186	14	validation	validation	NOUN
bracis-28387	186	15	sets	set	NOUN
bracis-28387	186	16	can	can	AUX
bracis-28387	186	17	be	be	AUX
bracis-28387	186	18	seen	see	VERB
bracis-28387	186	19	in	in	ADP
bracis-28387	186	20	table	table	NOUN
bracis-28387	186	21	 	 	SPACE
bracis-28387	186	22	4	4	NUM
bracis-28387	186	23	,	,	PUNCT
bracis-28387	186	24	under	under	ADP
bracis-28387	186	25	column	column	NOUN
bracis-28387	186	26	“	"	PUNCT
bracis-28387	186	27	test	test	PROPN
bracis-28387	186	28	mae	mae	PROPN
bracis-28387	186	29	(	(	PUNCT
bracis-28387	186	30	train+validation	train+validation	PROPN
bracis-28387	186	31	models	model	NOUN
bracis-28387	186	32	)	)	PUNCT
bracis-28387	186	33	”	"	PUNCT
bracis-28387	186	34	.	.	PUNCT
bracis-28387	187	1	in	in	ADP
bracis-28387	187	2	our	our	PRON
bracis-28387	187	3	experiments	experiment	NOUN
bracis-28387	187	4	,	,	PUNCT
bracis-28387	187	5	pre	pre	ADJ
bracis-28387	187	6	-	-	NOUN
bracis-28387	187	7	training	training	NOUN
bracis-28387	187	8	on	on	ADP
bracis-28387	187	9	the	the	DET
bracis-28387	187	10	brain	brain	NOUN
bracis-28387	187	11	tumor	tumor	NOUN
bracis-28387	187	12	segmentation	segmentation	NOUN
bracis-28387	187	13	task	task	NOUN
bracis-28387	187	14	was	be	AUX
bracis-28387	187	15	consistently	consistently	ADV
bracis-28387	187	16	advantageous	advantageous	ADJ
bracis-28387	187	17	.	.	PUNCT
bracis-28387	188	1	even	even	ADV
bracis-28387	188	2	though	though	SCONJ
bracis-28387	188	3	the	the	DET
bracis-28387	188	4	performance	performance	NOUN
bracis-28387	188	5	difference	difference	NOUN
bracis-28387	188	6	was	be	AUX
bracis-28387	188	7	not	not	PART
bracis-28387	188	8	highly	highly	ADV
bracis-28387	188	9	significant	significant	ADJ
bracis-28387	188	10	at	at	ADP
bracis-28387	188	11	all	all	DET
bracis-28387	188	12	experiments	experiment	NOUN
bracis-28387	188	13	,	,	PUNCT
bracis-28387	188	14	the	the	DET
bracis-28387	188	15	models	model	NOUN
bracis-28387	188	16	with	with	ADP
bracis-28387	188	17	the	the	DET
bracis-28387	188	18	proposed	propose	VERB
bracis-28387	188	19	pre	pre	NOUN
bracis-28387	188	20	-	-	NOUN
bracis-28387	188	21	training	training	NOUN
bracis-28387	188	22	outperformed	outperform	VERB
bracis-28387	188	23	their	their	PRON
bracis-28387	188	24	counterpart	counterpart	NOUN
bracis-28387	188	25	in	in	ADP
bracis-28387	188	26	all	all	DET
bracis-28387	188	27	configurations	configuration	NOUN
bracis-28387	188	28	except	except	SCONJ
bracis-28387	188	29	for	for	ADP
bracis-28387	188	30	the	the	DET
bracis-28387	188	31	resnet	resnet	ADJ
bracis-28387	188	32	backbone	backbone	NOUN
bracis-28387	188	33	pre	pre	VERB
bracis-28387	188	34	-	-	VERB
bracis-28387	188	35	trained	train	VERB
bracis-28387	188	36	on	on	ADP
bracis-28387	188	37	the	the	DET
bracis-28387	188	38	imagenet	imagenet	NOUN
bracis-28387	188	39	when	when	SCONJ
bracis-28387	188	40	trained	train	VERB
bracis-28387	188	41	on	on	ADP
bracis-28387	188	42	the	the	DET
bracis-28387	188	43	union	union	NOUN
bracis-28387	188	44	of	of	ADP
bracis-28387	188	45	the	the	DET
bracis-28387	188	46	train	train	NOUN
bracis-28387	188	47	and	and	CCONJ
bracis-28387	188	48	validation	validation	NOUN
bracis-28387	188	49	sets	set	NOUN
bracis-28387	188	50	.	.	PUNCT
bracis-28387	189	1	it	it	PRON
bracis-28387	189	2	is	be	AUX
bracis-28387	189	3	also	also	ADV
bracis-28387	189	4	evident	evident	ADJ
bracis-28387	189	5	,	,	PUNCT
bracis-28387	189	6	when	when	SCONJ
bracis-28387	189	7	comparing	compare	VERB
bracis-28387	189	8	the	the	DET
bracis-28387	189	9	resnet	resnet	NOUN
bracis-28387	189	10	backbones	backbone	NOUN
bracis-28387	189	11	,	,	PUNCT
bracis-28387	189	12	that	that	SCONJ
bracis-28387	189	13	pre	pre	ADJ
bracis-28387	189	14	-	-	NOUN
bracis-28387	189	15	training	train	VERB
bracis-28387	189	16	solely	solely	ADV
bracis-28387	189	17	on	on	ADP
bracis-28387	189	18	brats	brat	NOUN
bracis-28387	189	19	was	be	AUX
bracis-28387	189	20	consistently	consistently	ADV
bracis-28387	189	21	better	well	ADJ
bracis-28387	189	22	than	than	ADP
bracis-28387	189	23	pre	pre	ADJ
bracis-28387	189	24	-	-	NOUN
bracis-28387	189	25	training	training	NOUN
bracis-28387	189	26	on	on	ADP
bracis-28387	189	27	the	the	DET
bracis-28387	189	28	imagenet	imagenet	NOUN
bracis-28387	189	29	.	.	PUNCT
bracis-28387	190	1	our	our	PRON
bracis-28387	190	2	experiments	experiment	NOUN
bracis-28387	190	3	show	show	VERB
bracis-28387	190	4	that	that	SCONJ
bracis-28387	190	5	the	the	DET
bracis-28387	190	6	best	good	ADJ
bracis-28387	190	7	brain	brain	NOUN
bracis-28387	190	8	age	age	NOUN
bracis-28387	190	9	predictions	prediction	NOUN
bracis-28387	190	10	are	be	AUX
bracis-28387	190	11	achieved	achieve	VERB
bracis-28387	190	12	by	by	ADP
bracis-28387	190	13	using	use	VERB
bracis-28387	190	14	a	a	DET
bracis-28387	190	15	u	u	ADJ
bracis-28387	190	16	-	-	ADJ
bracis-28387	190	17	net	net	ADJ
bracis-28387	190	18	backbone	backbone	NOUN
bracis-28387	190	19	pre	pre	VERB
bracis-28387	190	20	-	-	VERB
bracis-28387	190	21	trained	train	VERB
bracis-28387	190	22	on	on	ADP
bracis-28387	190	23	brats	brat	NOUN
bracis-28387	190	24	,	,	PUNCT
bracis-28387	190	25	even	even	ADV
bracis-28387	190	26	though	though	SCONJ
bracis-28387	190	27	the	the	DET
bracis-28387	190	28	resnet	resnet	NOUN
bracis-28387	190	29	backbones	backbone	NOUN
bracis-28387	190	30	achieved	achieve	VERB
bracis-28387	190	31	a	a	DET
bracis-28387	190	32	better	well	ADJ
bracis-28387	190	33	brain	brain	NOUN
bracis-28387	190	34	tumor	tumor	NOUN
bracis-28387	190	35	segmentation	segmentation	NOUN
bracis-28387	190	36	performance	performance	NOUN
bracis-28387	190	37	(	(	PUNCT
bracis-28387	190	38	see	see	VERB
bracis-28387	190	39	table	table	NOUN
bracis-28387	190	40	 	 	SPACE
bracis-28387	190	41	3	3	NUM
bracis-28387	190	42	)	)	PUNCT
bracis-28387	190	43	.	.	PUNCT
bracis-28387	191	1	finally	finally	ADV
bracis-28387	191	2	,	,	PUNCT
bracis-28387	191	3	the	the	DET
bracis-28387	191	4	use	use	NOUN
bracis-28387	191	5	of	of	ADP
bracis-28387	191	6	the	the	DET
bracis-28387	191	7	validation	validation	NOUN
bracis-28387	191	8	set	set	VERB
bracis-28387	191	9	for	for	ADP
bracis-28387	191	10	training	training	NOUN
bracis-28387	191	11	(	(	PUNCT
bracis-28387	191	12	after	after	ADP
bracis-28387	191	13	hyperparameter	hyperparameter	NOUN
bracis-28387	191	14	tuning	tuning	NOUN
bracis-28387	191	15	)	)	PUNCT
bracis-28387	191	16	improved	improve	VERB
bracis-28387	191	17	the	the	DET
bracis-28387	191	18	performance	performance	NOUN
bracis-28387	191	19	of	of	ADP
bracis-28387	191	20	all	all	DET
bracis-28387	191	21	models	model	NOUN
bracis-28387	191	22	,	,	PUNCT
bracis-28387	191	23	as	as	SCONJ
bracis-28387	191	24	can	can	AUX
bracis-28387	191	25	be	be	AUX
bracis-28387	191	26	seen	see	VERB
bracis-28387	191	27	in	in	ADP
bracis-28387	191	28	the	the	DET
bracis-28387	191	29	column	column	NOUN
bracis-28387	191	30	“	"	PUNCT
bracis-28387	191	31	test	test	PROPN
bracis-28387	191	32	mae	mae	PROPN
bracis-28387	191	33	(	(	PUNCT
bracis-28387	191	34	train+validation	train+validation	PROPN
bracis-28387	191	35	models	model	NOUN
bracis-28387	191	36	)	)	PUNCT
bracis-28387	191	37	”	"	PUNCT
bracis-28387	191	38	of	of	ADP
bracis-28387	191	39	table	table	NOUN
bracis-28387	191	40	 	 	SPACE
bracis-28387	191	41	4	4	NUM
bracis-28387	191	42	.	.	PUNCT
bracis-28387	191	43	table	table	NOUN
bracis-28387	191	44	4	4	NUM
bracis-28387	191	45	.	.	PUNCT
bracis-28387	191	46	average	average	ADJ
bracis-28387	191	47	performance	performance	NOUN
bracis-28387	191	48	(	(	PUNCT
bracis-28387	191	49	over	over	ADP
bracis-28387	191	50	5	5	NUM
bracis-28387	191	51	runs	run	NOUN
bracis-28387	191	52	)	)	PUNCT
bracis-28387	191	53	of	of	ADP
bracis-28387	191	54	brain	brain	NOUN
bracis-28387	191	55	age	age	NOUN
bracis-28387	191	56	models	model	NOUN
bracis-28387	191	57	.	.	PUNCT
bracis-28387	192	1	“	"	PUNCT
bracis-28387	192	2	train+validation	train+validation	NOUN
bracis-28387	192	3	models	model	NOUN
bracis-28387	192	4	”	"	PUNCT
bracis-28387	192	5	indicates	indicate	VERB
bracis-28387	192	6	that	that	SCONJ
bracis-28387	192	7	the	the	DET
bracis-28387	192	8	models	model	NOUN
bracis-28387	192	9	were	be	AUX
bracis-28387	192	10	trained	train	VERB
bracis-28387	192	11	on	on	ADP
bracis-28387	192	12	the	the	DET
bracis-28387	192	13	union	union	NOUN
bracis-28387	192	14	of	of	ADP
bracis-28387	192	15	train	train	NOUN
bracis-28387	192	16	and	and	CCONJ
bracis-28387	192	17	validation	validation	NOUN
bracis-28387	192	18	datasets	dataset	NOUN
bracis-28387	192	19	,	,	PUNCT
bracis-28387	192	20	with	with	ADP
bracis-28387	192	21	hyperparameters	hyperparameter	NOUN
bracis-28387	192	22	defined	define	VERB
bracis-28387	192	23	on	on	ADP
bracis-28387	192	24	previous	previous	ADJ
bracis-28387	192	25	experiments	experiment	NOUN
bracis-28387	192	26	using	use	VERB
bracis-28387	192	27	the	the	DET
bracis-28387	192	28	validation	validation	NOUN
bracis-28387	192	29	set	set	NOUN
bracis-28387	192	30	.	.	PUNCT
bracis-28387	193	1	values	value	NOUN
bracis-28387	193	2	in	in	ADP
bracis-28387	193	3	bold	bold	ADJ
bracis-28387	193	4	indicate	indicate	VERB
bracis-28387	193	5	the	the	DET
bracis-28387	193	6	best	good	ADJ
bracis-28387	193	7	performance	performance	NOUN
bracis-28387	193	8	in	in	ADP
bracis-28387	193	9	their	their	PRON
bracis-28387	193	10	respective	respective	ADJ
bracis-28387	193	11	set	set	NOUN
bracis-28387	193	12	(	(	PUNCT
bracis-28387	193	13	column).full	column).full	ADJ
bracis-28387	193	14	size	size	NOUN
bracis-28387	193	15	table	table	NOUN
bracis-28387	193	16	4.3	4.3	NUM
bracis-28387	193	17	statistical	statistical	ADJ
bracis-28387	193	18	analysis	analysis	NOUN
bracis-28387	193	19	of	of	ADP
bracis-28387	193	20	 	 	SPACE
bracis-28387	193	21	\(\vardelta	\(\vardelta	NOUN
bracis-28387	193	22	_	_	PUNCT
bracis-28387	193	23	{	{	PUNCT
bracis-28387	193	24	ba}\	ba}\	PROPN
bracis-28387	193	25	)	)	PUNCT
bracis-28387	193	26	to	to	PART
bracis-28387	193	27	assess	assess	VERB
bracis-28387	193	28	the	the	DET
bracis-28387	193	29	significance	significance	NOUN
bracis-28387	193	30	of	of	ADP
bracis-28387	193	31	the	the	DET
bracis-28387	193	32	resulting	result	VERB
bracis-28387	193	33	brain	brain	NOUN
bracis-28387	193	34	age	age	NOUN
bracis-28387	193	35	indicator	indicator	NOUN
bracis-28387	193	36	,	,	PUNCT
bracis-28387	193	37	we	we	PRON
bracis-28387	193	38	apply	apply	VERB
bracis-28387	193	39	the	the	DET
bracis-28387	193	40	mwu	mwu	NOUN
bracis-28387	193	41	test	test	NOUN
bracis-28387	193	42	to	to	ADP
bracis-28387	193	43	the	the	DET
bracis-28387	193	44	predicted	predict	VERB
bracis-28387	193	45	\(\vardelta	\(\vardelta	X
bracis-28387	193	46	_	_	PUNCT
bracis-28387	193	47	{	{	PUNCT
bracis-28387	193	48	ba}\	ba}\	NUM
bracis-28387	193	49	)	)	PUNCT
bracis-28387	193	50	of	of	ADP
bracis-28387	193	51	all	all	DET
bracis-28387	193	52	models	model	NOUN
bracis-28387	193	53	for	for	ADP
bracis-28387	193	54	subjects	subject	NOUN
bracis-28387	193	55	in	in	ADP
bracis-28387	193	56	the	the	DET
bracis-28387	193	57	cn	cn	PROPN
bracis-28387	193	58	,	,	PUNCT
bracis-28387	193	59	mci	mci	PROPN
bracis-28387	193	60	,	,	PUNCT
bracis-28387	193	61	and	and	CCONJ
bracis-28387	193	62	ad	ad	NOUN
bracis-28387	193	63	groups	group	NOUN
bracis-28387	193	64	of	of	ADP
bracis-28387	193	65	the	the	DET
bracis-28387	193	66	validation	validation	NOUN
bracis-28387	193	67	and	and	CCONJ
bracis-28387	193	68	the	the	DET
bracis-28387	193	69	test	test	NOUN
bracis-28387	193	70	sets	set	NOUN
bracis-28387	193	71	(	(	PUNCT
bracis-28387	193	72	see	see	VERB
bracis-28387	193	73	sect	sect	NOUN
bracis-28387	193	74	.	.	PUNCT
bracis-28387	194	1	3.6	3.6	NUM
bracis-28387	194	2	)	)	PUNCT
bracis-28387	194	3	.	.	PUNCT
bracis-28387	195	1	the	the	DET
bracis-28387	195	2	tests	test	NOUN
bracis-28387	195	3	on	on	ADP
bracis-28387	195	4	samples	sample	NOUN
bracis-28387	195	5	between	between	ADP
bracis-28387	195	6	cn	cn	PROPN
bracis-28387	195	7	and	and	CCONJ
bracis-28387	195	8	mci	mci	PROPN
bracis-28387	195	9	patients	patient	NOUN
bracis-28387	195	10	and	and	CCONJ
bracis-28387	195	11	cn	cn	PROPN
bracis-28387	195	12	and	and	CCONJ
bracis-28387	195	13	ad	ad	NOUN
bracis-28387	195	14	patients	patient	NOUN
bracis-28387	195	15	all	all	ADV
bracis-28387	195	16	pointed	point	VERB
bracis-28387	195	17	to	to	ADP
bracis-28387	195	18	a	a	DET
bracis-28387	195	19	strong	strong	ADJ
bracis-28387	195	20	differentiation	differentiation	NOUN
bracis-28387	195	21	,	,	PUNCT
bracis-28387	195	22	with	with	ADP
bracis-28387	195	23	p	p	NOUN
bracis-28387	195	24	-	-	PUNCT
bracis-28387	195	25	values	value	NOUN
bracis-28387	195	26	smaller	small	ADJ
bracis-28387	195	27	than	than	ADP
bracis-28387	195	28	0.1	0.1	NUM
bracis-28387	195	29	%	%	NOUN
bracis-28387	195	30	for	for	ADP
bracis-28387	195	31	all	all	DET
bracis-28387	195	32	modelsfootnote	modelsfootnote	PROPN
bracis-28387	195	33	6	6	NUM
bracis-28387	195	34	,	,	PUNCT
bracis-28387	195	35	indicating	indicate	VERB
bracis-28387	195	36	that	that	SCONJ
bracis-28387	195	37	the	the	DET
bracis-28387	195	38	\(\vardelta	\(\vardelta	NOUN
bracis-28387	195	39	_	_	PUNCT
bracis-28387	195	40	{	{	PUNCT
bracis-28387	195	41	ba}\	ba}\	ADJ
bracis-28387	195	42	)	)	PUNCT
bracis-28387	195	43	biomarker	biomarker	NOUN
bracis-28387	195	44	is	be	AUX
bracis-28387	195	45	useful	useful	ADJ
bracis-28387	195	46	to	to	PART
bracis-28387	195	47	distinguish	distinguish	VERB
bracis-28387	195	48	healthy	healthy	ADJ
bracis-28387	195	49	patients	patient	NOUN
bracis-28387	195	50	from	from	ADP
bracis-28387	195	51	those	those	PRON
bracis-28387	195	52	with	with	ADP
bracis-28387	195	53	alzheimer	alzheimer	PROPN
bracis-28387	195	54	’s	’s	PART
bracis-28387	195	55	disease	disease	NOUN
bracis-28387	195	56	or	or	CCONJ
bracis-28387	195	57	mild	mild	ADJ
bracis-28387	195	58	cognitive	cognitive	ADJ
bracis-28387	195	59	impairment	impairment	NOUN
bracis-28387	195	60	.	.	PUNCT
bracis-28387	196	1	the	the	DET
bracis-28387	196	2	distinction	distinction	NOUN
bracis-28387	196	3	,	,	PUNCT
bracis-28387	196	4	however	however	ADV
bracis-28387	196	5	,	,	PUNCT
bracis-28387	196	6	between	between	ADP
bracis-28387	196	7	mci	mci	PROPN
bracis-28387	196	8	and	and	CCONJ
bracis-28387	196	9	ad	ad	NOUN
bracis-28387	196	10	patients	patient	NOUN
bracis-28387	196	11	was	be	AUX
bracis-28387	196	12	not	not	PART
bracis-28387	196	13	as	as	ADV
bracis-28387	196	14	significant	significant	ADJ
bracis-28387	196	15	,	,	PUNCT
bracis-28387	196	16	as	as	SCONJ
bracis-28387	196	17	can	can	AUX
bracis-28387	196	18	be	be	AUX
bracis-28387	196	19	seen	see	VERB
bracis-28387	196	20	in	in	ADP
bracis-28387	196	21	table	table	NOUN
bracis-28387	196	22	 	 	SPACE
bracis-28387	196	23	5	5	NUM
bracis-28387	196	24	.	.	PUNCT
bracis-28387	196	25	note	note	VERB
bracis-28387	196	26	that	that	SCONJ
bracis-28387	196	27	the	the	DET
bracis-28387	196	28	images	image	NOUN
bracis-28387	196	29	from	from	ADP
bracis-28387	196	30	mci	mci	NOUN
bracis-28387	196	31	and	and	CCONJ
bracis-28387	196	32	ad	ad	NOUN
bracis-28387	196	33	patients	patient	NOUN
bracis-28387	196	34	of	of	ADP
bracis-28387	196	35	the	the	DET
bracis-28387	196	36	validation	validation	NOUN
bracis-28387	196	37	set	set	NOUN
bracis-28387	196	38	are	be	AUX
bracis-28387	196	39	not	not	PART
bracis-28387	196	40	used	use	VERB
bracis-28387	196	41	for	for	ADP
bracis-28387	196	42	training	training	NOUN
bracis-28387	196	43	or	or	CCONJ
bracis-28387	196	44	hyperparameter	hyperparameter	NOUN
bracis-28387	196	45	tuning	tuning	NOUN
bracis-28387	196	46	,	,	PUNCT
bracis-28387	196	47	thus	thus	ADV
bracis-28387	196	48	,	,	PUNCT
bracis-28387	196	49	the	the	DET
bracis-28387	196	50	validation	validation	NOUN
bracis-28387	196	51	set	set	NOUN
bracis-28387	196	52	can	can	AUX
bracis-28387	196	53	be	be	AUX
bracis-28387	196	54	interpreted	interpret	VERB
bracis-28387	196	55	as	as	ADP
bracis-28387	196	56	an	an	DET
bracis-28387	196	57	additional	additional	ADJ
bracis-28387	196	58	test	test	NOUN
bracis-28387	196	59	set	set	VERB
bracis-28387	196	60	in	in	ADP
bracis-28387	196	61	the	the	DET
bracis-28387	196	62	case	case	NOUN
bracis-28387	196	63	of	of	ADP
bracis-28387	196	64	differentiating	differentiate	VERB
bracis-28387	196	65	between	between	ADP
bracis-28387	196	66	mci	mci	PROPN
bracis-28387	196	67	and	and	CCONJ
bracis-28387	196	68	ad	ad	NOUN
bracis-28387	196	69	.	.	PUNCT
bracis-28387	197	1	table	table	NOUN
bracis-28387	197	2	5	5	NUM
bracis-28387	197	3	.	.	PUNCT
bracis-28387	197	4	significance	significance	NOUN
bracis-28387	197	5	of	of	ADP
bracis-28387	197	6	the	the	DET
bracis-28387	197	7	mwu	mwu	NOUN
bracis-28387	197	8	test	test	NOUN
bracis-28387	197	9	on	on	ADP
bracis-28387	197	10	the	the	DET
bracis-28387	197	11	distinction	distinction	NOUN
bracis-28387	197	12	between	between	ADP
bracis-28387	197	13	ad	ad	NOUN
bracis-28387	197	14	and	and	CCONJ
bracis-28387	197	15	mci	mci	NOUN
bracis-28387	197	16	patients	patient	NOUN
bracis-28387	197	17	using	use	VERB
bracis-28387	197	18	the	the	DET
bracis-28387	197	19	predicted	predict	VERB
bracis-28387	197	20	\(\vardelta	\(\vardelta	ADJ
bracis-28387	197	21	_	_	PUNCT
bracis-28387	197	22	{	{	PUNCT
bracis-28387	197	23	ba}\	ba}\	ADJ
bracis-28387	197	24	)	)	PUNCT
bracis-28387	197	25	values	value	NOUN
bracis-28387	197	26	.	.	PUNCT
bracis-28387	198	1	we	we	PRON
bracis-28387	198	2	report	report	VERB
bracis-28387	198	3	the	the	DET
bracis-28387	198	4	average	average	ADJ
bracis-28387	198	5	(	(	PUNCT
bracis-28387	198	6	maximum	maximum	ADJ
bracis-28387	198	7	)	)	PUNCT
bracis-28387	198	8	p	p	NOUN
bracis-28387	198	9	-	-	PUNCT
bracis-28387	198	10	value	value	NOUN
bracis-28387	198	11	over	over	ADP
bracis-28387	198	12	the	the	DET
bracis-28387	198	13	5	5	NUM
bracis-28387	198	14	models	model	NOUN
bracis-28387	198	15	trained	train	VERB
bracis-28387	198	16	for	for	ADP
bracis-28387	198	17	each	each	DET
bracis-28387	198	18	combination	combination	NOUN
bracis-28387	198	19	of	of	ADP
bracis-28387	198	20	backbone	backbone	NOUN
bracis-28387	198	21	and	and	CCONJ
bracis-28387	198	22	pre	pre	ADJ
bracis-28387	198	23	-	-	NOUN
bracis-28387	198	24	training	training	NOUN
bracis-28387	198	25	.	.	PUNCT
bracis-28387	199	1	“	"	PUNCT
bracis-28387	199	2	train+validation	train+validation	NOUN
bracis-28387	199	3	models	model	NOUN
bracis-28387	199	4	”	"	PUNCT
bracis-28387	199	5	indicates	indicate	VERB
bracis-28387	199	6	that	that	SCONJ
bracis-28387	199	7	the	the	DET
bracis-28387	199	8	models	model	NOUN
bracis-28387	199	9	were	be	AUX
bracis-28387	199	10	trained	train	VERB
bracis-28387	199	11	on	on	ADP
bracis-28387	199	12	the	the	DET
bracis-28387	199	13	union	union	NOUN
bracis-28387	199	14	of	of	ADP
bracis-28387	199	15	train	train	NOUN
bracis-28387	199	16	and	and	CCONJ
bracis-28387	199	17	validation	validation	NOUN
bracis-28387	199	18	datasets	dataset	NOUN
bracis-28387	199	19	(	(	PUNCT
bracis-28387	199	20	cn	cn	NOUN
bracis-28387	199	21	only	only	ADV
bracis-28387	199	22	)	)	PUNCT
bracis-28387	199	23	,	,	PUNCT
bracis-28387	199	24	with	with	ADP
bracis-28387	199	25	hyperparameters	hyperparameter	NOUN
bracis-28387	199	26	defined	define	VERB
bracis-28387	199	27	on	on	ADP
bracis-28387	199	28	previous	previous	ADJ
bracis-28387	199	29	experiments	experiment	NOUN
bracis-28387	199	30	using	use	VERB
bracis-28387	199	31	the	the	DET
bracis-28387	199	32	validation	validation	NOUN
bracis-28387	199	33	set	set	NOUN
bracis-28387	199	34	(	(	PUNCT
bracis-28387	199	35	cn	cn	NOUN
bracis-28387	199	36	only	only	ADV
bracis-28387	199	37	)	)	PUNCT
bracis-28387	199	38	.	.	PUNCT
bracis-28387	200	1	values	value	NOUN
bracis-28387	200	2	in	in	ADP
bracis-28387	200	3	bold	bold	ADJ
bracis-28387	200	4	indicate	indicate	VERB
bracis-28387	200	5	high	high	ADJ
bracis-28387	200	6	significance	significance	NOUN
bracis-28387	200	7	(	(	PUNCT
bracis-28387	200	8	p	p	NOUN
bracis-28387	200	9	-	-	PUNCT
bracis-28387	200	10	value	value	NOUN
bracis-28387	200	11	\(\le	\(\le	ADJ
bracis-28387	200	12	5\%\)).full	5\%\)).full	NUM
bracis-28387	200	13	size	size	NOUN
bracis-28387	200	14	table	table	NOUN
bracis-28387	200	15	even	even	ADV
bracis-28387	200	16	though	though	SCONJ
bracis-28387	200	17	the	the	DET
bracis-28387	200	18	models	model	NOUN
bracis-28387	200	19	with	with	ADP
bracis-28387	200	20	the	the	DET
bracis-28387	200	21	u	u	ADJ
bracis-28387	200	22	-	-	ADJ
bracis-28387	200	23	net	net	ADJ
bracis-28387	200	24	backbones	backbone	NOUN
bracis-28387	200	25	achieved	achieve	VERB
bracis-28387	200	26	more	more	ADV
bracis-28387	200	27	significant	significant	ADJ
bracis-28387	200	28	results	result	NOUN
bracis-28387	200	29	in	in	ADP
bracis-28387	200	30	the	the	DET
bracis-28387	200	31	statistical	statistical	ADJ
bracis-28387	200	32	analysis	analysis	NOUN
bracis-28387	200	33	of	of	ADP
bracis-28387	200	34	the	the	DET
bracis-28387	200	35	biomarker	biomarker	NOUN
bracis-28387	200	36	,	,	PUNCT
bracis-28387	200	37	these	these	DET
bracis-28387	200	38	results	result	NOUN
bracis-28387	200	39	do	do	AUX
bracis-28387	200	40	not	not	PART
bracis-28387	200	41	allow	allow	VERB
bracis-28387	200	42	us	we	PRON
bracis-28387	200	43	to	to	PART
bracis-28387	200	44	conclude	conclude	VERB
bracis-28387	200	45	that	that	SCONJ
bracis-28387	200	46	pre	pre	NOUN
bracis-28387	200	47	-	-	NOUN
bracis-28387	200	48	training	training	NOUN
bracis-28387	200	49	(	(	PUNCT
bracis-28387	200	50	with	with	ADP
bracis-28387	200	51	any	any	PRON
bracis-28387	200	52	of	of	ADP
bracis-28387	200	53	the	the	DET
bracis-28387	200	54	tasks	task	NOUN
bracis-28387	200	55	)	)	PUNCT
bracis-28387	200	56	had	have	VERB
bracis-28387	200	57	a	a	DET
bracis-28387	200	58	positive	positive	ADJ
bracis-28387	200	59	impact	impact	NOUN
bracis-28387	200	60	,	,	PUNCT
bracis-28387	200	61	as	as	SCONJ
bracis-28387	200	62	was	be	AUX
bracis-28387	200	63	observed	observe	VERB
bracis-28387	200	64	for	for	ADP
bracis-28387	200	65	brain	brain	NOUN
bracis-28387	200	66	age	age	NOUN
bracis-28387	200	67	prediction	prediction	NOUN
bracis-28387	200	68	.	.	PUNCT
bracis-28387	201	1	in	in	ADP
bracis-28387	201	2	fact	fact	NOUN
bracis-28387	201	3	,	,	PUNCT
bracis-28387	201	4	the	the	DET
bracis-28387	201	5	exact	exact	ADJ
bracis-28387	201	6	opposite	opposite	NOUN
bracis-28387	201	7	is	be	AUX
bracis-28387	201	8	observed	observe	VERB
bracis-28387	201	9	.	.	PUNCT
bracis-28387	202	1	using	use	VERB
bracis-28387	202	2	pre	pre	ADJ
bracis-28387	202	3	-	-	ADJ
bracis-28387	202	4	trained	train	VERB
bracis-28387	202	5	backbones	backbone	NOUN
bracis-28387	202	6	(	(	PUNCT
bracis-28387	202	7	for	for	ADP
bracis-28387	202	8	both	both	PRON
bracis-28387	202	9	brats	brat	NOUN
bracis-28387	202	10	and	and	CCONJ
bracis-28387	202	11	imagenet	imagenet	ADJ
bracis-28387	202	12	pre	pre	ADJ
bracis-28387	202	13	-	-	NOUN
bracis-28387	202	14	training	training	NOUN
bracis-28387	202	15	)	)	PUNCT
bracis-28387	202	16	resulted	result	VERB
bracis-28387	202	17	,	,	PUNCT
bracis-28387	202	18	most	most	ADJ
bracis-28387	202	19	of	of	ADP
bracis-28387	202	20	the	the	DET
bracis-28387	202	21	times	time	NOUN
bracis-28387	202	22	,	,	PUNCT
bracis-28387	202	23	in	in	ADP
bracis-28387	202	24	models	model	NOUN
bracis-28387	202	25	that	that	PRON
bracis-28387	202	26	achieved	achieve	VERB
bracis-28387	202	27	a	a	DET
bracis-28387	202	28	worse	bad	ADJ
bracis-28387	202	29	separation	separation	NOUN
bracis-28387	202	30	between	between	ADP
bracis-28387	202	31	ad	ad	NOUN
bracis-28387	202	32	and	and	CCONJ
bracis-28387	202	33	mci	mci	NOUN
bracis-28387	202	34	patients	patient	NOUN
bracis-28387	202	35	,	,	PUNCT
bracis-28387	202	36	in	in	ADP
bracis-28387	202	37	comparison	comparison	NOUN
bracis-28387	202	38	to	to	ADP
bracis-28387	202	39	their	their	PRON
bracis-28387	202	40	counterparts	counterpart	NOUN
bracis-28387	202	41	without	without	ADP
bracis-28387	202	42	pre	pre	ADJ
bracis-28387	202	43	-	-	NOUN
bracis-28387	202	44	training	training	NOUN
bracis-28387	202	45	.	.	PUNCT
bracis-28387	203	1	the	the	DET
bracis-28387	203	2	same	same	ADJ
bracis-28387	203	3	effect	effect	NOUN
bracis-28387	203	4	was	be	AUX
bracis-28387	203	5	also	also	ADV
bracis-28387	203	6	observed	observe	VERB
bracis-28387	203	7	in	in	ADP
bracis-28387	203	8	the	the	DET
bracis-28387	203	9	use	use	NOUN
bracis-28387	203	10	of	of	ADP
bracis-28387	203	11	the	the	DET
bracis-28387	203	12	validation	validation	NOUN
bracis-28387	203	13	set	set	VERB
bracis-28387	203	14	for	for	ADP
bracis-28387	203	15	training	training	NOUN
bracis-28387	203	16	,	,	PUNCT
bracis-28387	203	17	upon	upon	SCONJ
bracis-28387	203	18	which	which	PRON
bracis-28387	203	19	no	no	DET
bracis-28387	203	20	model	model	NOUN
bracis-28387	203	21	achieved	achieve	VERB
bracis-28387	203	22	a	a	DET
bracis-28387	203	23	significant	significant	ADJ
bracis-28387	203	24	distinction	distinction	NOUN
bracis-28387	203	25	between	between	ADP
bracis-28387	203	26	ad	ad	NOUN
bracis-28387	203	27	and	and	CCONJ
bracis-28387	203	28	mci	mci	NOUN
bracis-28387	203	29	patients	patient	NOUN
bracis-28387	203	30	.	.	PUNCT
bracis-28387	204	1	5	5	NUM
bracis-28387	204	2	discussion	discussion	NOUN
bracis-28387	204	3	and	and	CCONJ
bracis-28387	204	4	 	 	SPACE
bracis-28387	204	5	conclusions	conclusion	NOUN
bracis-28387	204	6	in	in	ADP
bracis-28387	204	7	this	this	DET
bracis-28387	204	8	study	study	NOUN
bracis-28387	204	9	,	,	PUNCT
bracis-28387	204	10	we	we	PRON
bracis-28387	204	11	investigated	investigate	VERB
bracis-28387	204	12	the	the	DET
bracis-28387	204	13	transfer	transfer	NOUN
bracis-28387	204	14	learning	learning	NOUN
bracis-28387	204	15	capacity	capacity	NOUN
bracis-28387	204	16	of	of	ADP
bracis-28387	204	17	a	a	DET
bracis-28387	204	18	brain	brain	NOUN
bracis-28387	204	19	-	-	PUNCT
bracis-28387	204	20	related	relate	VERB
bracis-28387	204	21	task	task	NOUN
bracis-28387	204	22	to	to	ADP
bracis-28387	204	23	the	the	DET
bracis-28387	204	24	task	task	NOUN
bracis-28387	204	25	of	of	ADP
bracis-28387	204	26	brain	brain	NOUN
bracis-28387	204	27	age	age	NOUN
bracis-28387	204	28	prediction	prediction	NOUN
bracis-28387	204	29	.	.	PUNCT
bracis-28387	205	1	more	more	ADV
bracis-28387	205	2	specifically	specifically	ADV
bracis-28387	205	3	,	,	PUNCT
bracis-28387	205	4	we	we	PRON
bracis-28387	205	5	pre	pre	VERB
bracis-28387	205	6	-	-	ADJ
bracis-28387	205	7	trained	train	VERB
bracis-28387	205	8	deep	deep	ADJ
bracis-28387	205	9	learning	learning	NOUN
bracis-28387	205	10	models	model	NOUN
bracis-28387	205	11	for	for	ADP
bracis-28387	205	12	brain	brain	NOUN
bracis-28387	205	13	age	age	NOUN
bracis-28387	205	14	prediction	prediction	NOUN
bracis-28387	205	15	on	on	ADP
bracis-28387	205	16	the	the	DET
bracis-28387	205	17	task	task	NOUN
bracis-28387	205	18	of	of	ADP
bracis-28387	205	19	brain	brain	NOUN
bracis-28387	205	20	tumor	tumor	NOUN
bracis-28387	205	21	segmentation	segmentation	NOUN
bracis-28387	205	22	.	.	PUNCT
bracis-28387	206	1	in	in	ADP
bracis-28387	206	2	comparison	comparison	NOUN
bracis-28387	206	3	to	to	ADP
bracis-28387	206	4	pre	pre	VERB
bracis-28387	206	5	-	-	VERB
bracis-28387	206	6	training	training	NOUN
bracis-28387	206	7	on	on	ADP
bracis-28387	206	8	a	a	DET
bracis-28387	206	9	natural	natural	ADJ
bracis-28387	206	10	image	image	NOUN
bracis-28387	206	11	classification	classification	NOUN
bracis-28387	206	12	task	task	NOUN
bracis-28387	206	13	or	or	CCONJ
bracis-28387	206	14	performing	perform	VERB
bracis-28387	206	15	no	no	DET
bracis-28387	206	16	pre	pre	NOUN
bracis-28387	206	17	-	-	NOUN
bracis-28387	206	18	training	training	NOUN
bracis-28387	206	19	at	at	ADV
bracis-28387	206	20	all	all	ADV
bracis-28387	206	21	,	,	PUNCT
bracis-28387	206	22	our	our	PRON
bracis-28387	206	23	results	result	NOUN
bracis-28387	206	24	suggest	suggest	VERB
bracis-28387	206	25	that	that	SCONJ
bracis-28387	206	26	the	the	DET
bracis-28387	206	27	proposed	proposed	ADJ
bracis-28387	206	28	pre	pre	NOUN
bracis-28387	206	29	-	-	NOUN
bracis-28387	206	30	training	training	NOUN
bracis-28387	206	31	may	may	AUX
bracis-28387	206	32	be	be	AUX
bracis-28387	206	33	a	a	DET
bracis-28387	206	34	better	well	ADJ
bracis-28387	206	35	option	option	NOUN
bracis-28387	206	36	.	.	PUNCT
bracis-28387	207	1	the	the	DET
bracis-28387	207	2	only	only	ADJ
bracis-28387	207	3	inconclusive	inconclusive	ADJ
bracis-28387	207	4	case	case	NOUN
bracis-28387	207	5	is	be	AUX
bracis-28387	207	6	on	on	ADP
bracis-28387	207	7	performing	perform	VERB
bracis-28387	207	8	both	both	DET
bracis-28387	207	9	pre	pre	NOUN
bracis-28387	207	10	-	-	NOUN
bracis-28387	207	11	trainings	training	NOUN
bracis-28387	207	12	,	,	PUNCT
bracis-28387	207	13	that	that	ADV
bracis-28387	207	14	is	is	ADV
bracis-28387	207	15	,	,	PUNCT
bracis-28387	207	16	first	first	ADV
bracis-28387	207	17	pre	pre	VERB
bracis-28387	207	18	-	-	NOUN
bracis-28387	207	19	training	training	NOUN
bracis-28387	207	20	on	on	ADP
bracis-28387	207	21	imagenet	imagenet	NOUN
bracis-28387	207	22	and	and	CCONJ
bracis-28387	207	23	then	then	ADV
bracis-28387	207	24	on	on	ADP
bracis-28387	207	25	brain	brain	NOUN
bracis-28387	207	26	tumor	tumor	NOUN
bracis-28387	207	27	segmentation	segmentation	NOUN
bracis-28387	207	28	,	,	PUNCT
bracis-28387	207	29	which	which	PRON
bracis-28387	207	30	yielded	yield	VERB
bracis-28387	207	31	mixed	mixed	ADJ
bracis-28387	207	32	results	result	NOUN
bracis-28387	207	33	for	for	ADP
bracis-28387	207	34	brain	brain	NOUN
bracis-28387	207	35	age	age	NOUN
bracis-28387	207	36	prediction	prediction	NOUN
bracis-28387	207	37	.	.	PUNCT
bracis-28387	208	1	furthermore	furthermore	ADV
bracis-28387	208	2	,	,	PUNCT
bracis-28387	208	3	we	we	PRON
bracis-28387	208	4	observed	observe	VERB
bracis-28387	208	5	that	that	SCONJ
bracis-28387	208	6	using	use	VERB
bracis-28387	208	7	the	the	DET
bracis-28387	208	8	validation	validation	NOUN
bracis-28387	208	9	set	set	VERB
bracis-28387	208	10	for	for	ADP
bracis-28387	208	11	training	train	VERB
bracis-28387	208	12	the	the	DET
bracis-28387	208	13	models	model	NOUN
bracis-28387	208	14	(	(	PUNCT
bracis-28387	208	15	after	after	ADP
bracis-28387	208	16	hyperparameter	hyperparameter	NOUN
bracis-28387	208	17	tuning	tuning	NOUN
bracis-28387	208	18	)	)	PUNCT
bracis-28387	208	19	significantly	significantly	ADV
bracis-28387	208	20	reduced	reduce	VERB
bracis-28387	208	21	the	the	DET
bracis-28387	208	22	brain	brain	NOUN
bracis-28387	208	23	age	age	NOUN
bracis-28387	208	24	prediction	prediction	NOUN
bracis-28387	208	25	error	error	NOUN
bracis-28387	208	26	in	in	ADP
bracis-28387	208	27	all	all	DET
bracis-28387	208	28	scenarios	scenario	NOUN
bracis-28387	208	29	,	,	PUNCT
bracis-28387	208	30	even	even	ADV
bracis-28387	208	31	though	though	SCONJ
bracis-28387	208	32	there	there	PRON
bracis-28387	208	33	was	be	VERB
bracis-28387	208	34	only	only	ADV
bracis-28387	208	35	a	a	DET
bracis-28387	208	36	small	small	ADJ
bracis-28387	208	37	increment	increment	NOUN
bracis-28387	208	38	in	in	ADP
bracis-28387	208	39	the	the	DET
bracis-28387	208	40	number	number	NOUN
bracis-28387	208	41	of	of	ADP
bracis-28387	208	42	subjects	subject	NOUN
bracis-28387	208	43	in	in	ADP
bracis-28387	208	44	the	the	DET
bracis-28387	208	45	training	training	NOUN
bracis-28387	208	46	set	set	NOUN
bracis-28387	208	47	(	(	PUNCT
bracis-28387	208	48	15	15	NUM
bracis-28387	208	49	%	%	NOUN
bracis-28387	208	50	more	more	ADJ
bracis-28387	208	51	subjects	subject	NOUN
bracis-28387	208	52	,	,	PUNCT
bracis-28387	208	53	as	as	SCONJ
bracis-28387	208	54	can	can	AUX
bracis-28387	208	55	be	be	AUX
bracis-28387	208	56	verified	verify	VERB
bracis-28387	208	57	through	through	ADP
bracis-28387	208	58	table	table	NOUN
bracis-28387	208	59	 	 	SPACE
bracis-28387	208	60	2	2	NUM
bracis-28387	208	61	)	)	PUNCT
bracis-28387	208	62	.	.	PUNCT
bracis-28387	209	1	using	use	VERB
bracis-28387	209	2	the	the	DET
bracis-28387	209	3	u	u	ADJ
bracis-28387	209	4	-	-	ADJ
bracis-28387	209	5	net	net	ADJ
bracis-28387	209	6	backbone	backbone	NOUN
bracis-28387	209	7	pre	pre	VERB
bracis-28387	209	8	-	-	VERB
bracis-28387	209	9	trained	train	VERB
bracis-28387	209	10	on	on	ADP
bracis-28387	209	11	brats	brat	NOUN
bracis-28387	209	12	and	and	CCONJ
bracis-28387	209	13	then	then	ADV
bracis-28387	209	14	trained	train	VERB
bracis-28387	209	15	on	on	ADP
bracis-28387	209	16	the	the	DET
bracis-28387	209	17	union	union	NOUN
bracis-28387	209	18	of	of	ADP
bracis-28387	209	19	train	train	NOUN
bracis-28387	209	20	and	and	CCONJ
bracis-28387	209	21	validation	validation	NOUN
bracis-28387	209	22	sets	set	NOUN
bracis-28387	209	23	showed	show	VERB
bracis-28387	209	24	state	state	NOUN
bracis-28387	209	25	-	-	PUNCT
bracis-28387	209	26	of	of	ADP
bracis-28387	209	27	-	-	PUNCT
bracis-28387	209	28	the	the	DET
bracis-28387	209	29	-	-	PUNCT
bracis-28387	209	30	art	art	NOUN
bracis-28387	209	31	results	result	NOUN
bracis-28387	209	32	,	,	PUNCT
bracis-28387	209	33	with	with	SCONJ
bracis-28387	209	34	mae	mae	PROPN
bracis-28387	209	35	values	value	NOUN
bracis-28387	209	36	previously	previously	ADV
bracis-28387	209	37	unseen	unseen	ADJ
bracis-28387	209	38	on	on	ADP
bracis-28387	209	39	adni	adni	ADJ
bracis-28387	209	40	data	datum	NOUN
bracis-28387	209	41	(	(	PUNCT
bracis-28387	209	42	see	see	VERB
bracis-28387	209	43	table	table	NOUN
bracis-28387	209	44	 	 	SPACE
bracis-28387	209	45	1	1	NUM
bracis-28387	209	46	)	)	PUNCT
bracis-28387	209	47	.	.	PUNCT
bracis-28387	210	1	we	we	PRON
bracis-28387	210	2	recall	recall	VERB
bracis-28387	210	3	that	that	SCONJ
bracis-28387	210	4	the	the	DET
bracis-28387	210	5	validation	validation	NOUN
bracis-28387	210	6	and	and	CCONJ
bracis-28387	210	7	test	test	NOUN
bracis-28387	210	8	sets	set	NOUN
bracis-28387	210	9	are	be	AUX
bracis-28387	210	10	built	build	VERB
bracis-28387	210	11	with	with	ADP
bracis-28387	210	12	images	image	NOUN
bracis-28387	210	13	from	from	ADP
bracis-28387	210	14	the	the	DET
bracis-28387	210	15	adni-1	adni-1	NUM
bracis-28387	210	16	study	study	NOUN
bracis-28387	210	17	,	,	PUNCT
bracis-28387	210	18	while	while	SCONJ
bracis-28387	210	19	the	the	DET
bracis-28387	210	20	training	training	NOUN
bracis-28387	210	21	set	set	NOUN
bracis-28387	210	22	is	be	AUX
bracis-28387	210	23	built	build	VERB
bracis-28387	210	24	from	from	ADP
bracis-28387	210	25	adni	adni	NOUN
bracis-28387	210	26	-	-	PUNCT
bracis-28387	210	27	go	go	NOUN
bracis-28387	210	28	,	,	PUNCT
bracis-28387	210	29	adni-2	adni-2	ADJ
bracis-28387	210	30	,	,	PUNCT
bracis-28387	210	31	and	and	CCONJ
bracis-28387	210	32	adni-3	adni-3	NUM
bracis-28387	210	33	.	.	PUNCT
bracis-28387	211	1	as	as	SCONJ
bracis-28387	211	2	the	the	DET
bracis-28387	211	3	image	image	NOUN
bracis-28387	211	4	acquisition	acquisition	NOUN
bracis-28387	211	5	protocols	protocol	NOUN
bracis-28387	211	6	change	change	VERB
bracis-28387	211	7	between	between	ADP
bracis-28387	211	8	the	the	DET
bracis-28387	211	9	studies	study	NOUN
bracis-28387	211	10	,	,	PUNCT
bracis-28387	211	11	we	we	PRON
bracis-28387	211	12	can	can	AUX
bracis-28387	211	13	assume	assume	VERB
bracis-28387	211	14	that	that	SCONJ
bracis-28387	211	15	there	there	PRON
bracis-28387	211	16	are	be	VERB
bracis-28387	211	17	different	different	ADJ
bracis-28387	211	18	characteristics	characteristic	NOUN
bracis-28387	211	19	between	between	ADP
bracis-28387	211	20	their	their	PRON
bracis-28387	211	21	images	image	NOUN
bracis-28387	211	22	.	.	PUNCT
bracis-28387	212	1	therefore	therefore	ADV
bracis-28387	212	2	,	,	PUNCT
bracis-28387	212	3	we	we	PRON
bracis-28387	212	4	can	can	AUX
bracis-28387	212	5	expect	expect	VERB
bracis-28387	212	6	a	a	DET
bracis-28387	212	7	distribution	distribution	NOUN
bracis-28387	212	8	shift	shift	NOUN
bracis-28387	212	9	between	between	ADP
bracis-28387	212	10	the	the	DET
bracis-28387	212	11	training	training	NOUN
bracis-28387	212	12	and	and	CCONJ
bracis-28387	212	13	the	the	DET
bracis-28387	212	14	test	test	NOUN
bracis-28387	212	15	sets	set	NOUN
bracis-28387	212	16	that	that	PRON
bracis-28387	212	17	does	do	AUX
bracis-28387	212	18	not	not	PART
bracis-28387	212	19	exist	exist	VERB
bracis-28387	212	20	between	between	ADP
bracis-28387	212	21	the	the	DET
bracis-28387	212	22	validation	validation	NOUN
bracis-28387	212	23	and	and	CCONJ
bracis-28387	212	24	the	the	DET
bracis-28387	212	25	test	test	NOUN
bracis-28387	212	26	sets	set	NOUN
bracis-28387	212	27	.	.	PUNCT
bracis-28387	213	1	this	this	PRON
bracis-28387	213	2	allows	allow	VERB
bracis-28387	213	3	us	we	PRON
bracis-28387	213	4	to	to	PART
bracis-28387	213	5	conclude	conclude	VERB
bracis-28387	213	6	that	that	SCONJ
bracis-28387	213	7	the	the	DET
bracis-28387	213	8	use	use	NOUN
bracis-28387	213	9	of	of	ADP
bracis-28387	213	10	the	the	DET
bracis-28387	213	11	validation	validation	NOUN
bracis-28387	213	12	set	set	VERB
bracis-28387	213	13	for	for	ADP
bracis-28387	213	14	training	training	NOUN
bracis-28387	213	15	resulted	result	VERB
bracis-28387	213	16	in	in	ADP
bracis-28387	213	17	better	well	ADJ
bracis-28387	213	18	models	model	NOUN
bracis-28387	213	19	because	because	SCONJ
bracis-28387	213	20	it	it	PRON
bracis-28387	213	21	decreased	decrease	VERB
bracis-28387	213	22	the	the	DET
bracis-28387	213	23	difference	difference	NOUN
bracis-28387	213	24	between	between	ADP
bracis-28387	213	25	the	the	DET
bracis-28387	213	26	training	training	NOUN
bracis-28387	213	27	and	and	CCONJ
bracis-28387	213	28	test	test	NOUN
bracis-28387	213	29	distributions	distribution	NOUN
bracis-28387	213	30	.	.	PUNCT
bracis-28387	214	1	at	at	ADP
bracis-28387	214	2	the	the	DET
bracis-28387	214	3	same	same	ADJ
bracis-28387	214	4	time	time	NOUN
bracis-28387	214	5	,	,	PUNCT
bracis-28387	214	6	by	by	ADP
bracis-28387	214	7	evaluating	evaluate	VERB
bracis-28387	214	8	our	our	PRON
bracis-28387	214	9	models	model	NOUN
bracis-28387	214	10	as	as	ADP
bracis-28387	214	11	biomarkers	biomarker	NOUN
bracis-28387	214	12	for	for	ADP
bracis-28387	214	13	cognitive	cognitive	ADJ
bracis-28387	214	14	impairment	impairment	ADJ
bracis-28387	214	15	levels	level	NOUN
bracis-28387	214	16	,	,	PUNCT
bracis-28387	214	17	we	we	PRON
bracis-28387	214	18	observed	observe	VERB
bracis-28387	214	19	results	result	NOUN
bracis-28387	214	20	that	that	PRON
bracis-28387	214	21	challenge	challenge	VERB
bracis-28387	214	22	the	the	DET
bracis-28387	214	23	standard	standard	ADJ
bracis-28387	214	24	approach	approach	NOUN
bracis-28387	214	25	of	of	ADP
bracis-28387	214	26	training	train	VERB
bracis-28387	214	27	deep	deep	ADJ
bracis-28387	214	28	learning	learning	NOUN
bracis-28387	214	29	models	model	NOUN
bracis-28387	214	30	for	for	ADP
bracis-28387	214	31	brain	brain	NOUN
bracis-28387	214	32	age	age	NOUN
bracis-28387	214	33	.	.	PUNCT
bracis-28387	215	1	most	most	ADJ
bracis-28387	215	2	of	of	ADP
bracis-28387	215	3	the	the	DET
bracis-28387	215	4	modifications	modification	NOUN
bracis-28387	215	5	that	that	PRON
bracis-28387	215	6	improved	improve	VERB
bracis-28387	215	7	the	the	DET
bracis-28387	215	8	brain	brain	NOUN
bracis-28387	215	9	age	age	NOUN
bracis-28387	215	10	predictive	predictive	ADJ
bracis-28387	215	11	performance	performance	NOUN
bracis-28387	215	12	on	on	ADP
bracis-28387	215	13	healthy	healthy	ADJ
bracis-28387	215	14	subjects	subject	NOUN
bracis-28387	215	15	(	(	PUNCT
bracis-28387	215	16	i.e.	i.e.	X
bracis-28387	215	17	,	,	PUNCT
bracis-28387	215	18	the	the	DET
bracis-28387	215	19	chronological	chronological	ADJ
bracis-28387	215	20	age	age	NOUN
bracis-28387	215	21	prediction	prediction	NOUN
bracis-28387	215	22	)	)	PUNCT
bracis-28387	215	23	,	,	PUNCT
bracis-28387	215	24	resulted	result	VERB
bracis-28387	215	25	in	in	ADP
bracis-28387	215	26	models	model	NOUN
bracis-28387	215	27	that	that	PRON
bracis-28387	215	28	were	be	AUX
bracis-28387	215	29	less	less	ADV
bracis-28387	215	30	reliable	reliable	ADJ
bracis-28387	215	31	for	for	ADP
bracis-28387	215	32	distinguishing	distinguish	VERB
bracis-28387	215	33	between	between	ADP
bracis-28387	215	34	patients	patient	NOUN
bracis-28387	215	35	with	with	ADP
bracis-28387	215	36	mci	mci	NOUN
bracis-28387	215	37	and	and	CCONJ
bracis-28387	215	38	ad	ad	NOUN
bracis-28387	215	39	.	.	PUNCT
bracis-28387	216	1	a	a	DET
bracis-28387	216	2	similar	similar	ADJ
bracis-28387	216	3	behavior	behavior	NOUN
bracis-28387	216	4	was	be	AUX
bracis-28387	216	5	reported	report	VERB
bracis-28387	216	6	by	by	ADP
bracis-28387	216	7	bashyam	bashyam	PROPN
bracis-28387	216	8	et	et	PROPN
bracis-28387	216	9	al	al	PROPN
bracis-28387	216	10	.	.	PUNCT
bracis-28387	217	1	[	[	X
bracis-28387	217	2	4	4	NUM
bracis-28387	217	3	]	]	PUNCT
bracis-28387	217	4	,	,	PUNCT
bracis-28387	217	5	in	in	ADP
bracis-28387	217	6	which	which	PRON
bracis-28387	217	7	the	the	DET
bracis-28387	217	8	models	model	NOUN
bracis-28387	217	9	that	that	PRON
bracis-28387	217	10	achieved	achieve	VERB
bracis-28387	217	11	the	the	DET
bracis-28387	217	12	lowest	low	ADJ
bracis-28387	217	13	mae	mae	PROPN
bracis-28387	217	14	did	do	AUX
bracis-28387	217	15	not	not	PART
bracis-28387	217	16	provide	provide	VERB
bracis-28387	217	17	the	the	DET
bracis-28387	217	18	strongest	strong	ADJ
bracis-28387	217	19	distinction	distinction	NOUN
bracis-28387	217	20	between	between	ADP
bracis-28387	217	21	healthy	healthy	ADJ
bracis-28387	217	22	subjects	subject	NOUN
bracis-28387	217	23	and	and	CCONJ
bracis-28387	217	24	subjects	subject	NOUN
bracis-28387	217	25	with	with	ADP
bracis-28387	217	26	ad	ad	NOUN
bracis-28387	217	27	,	,	PUNCT
bracis-28387	217	28	mci	mci	NOUN
bracis-28387	217	29	,	,	PUNCT
bracis-28387	217	30	schizophrenia	schizophrenia	NOUN
bracis-28387	217	31	or	or	CCONJ
bracis-28387	217	32	depression	depression	NOUN
bracis-28387	217	33	.	.	PUNCT
bracis-28387	218	1	our	our	PRON
bracis-28387	218	2	results	result	NOUN
bracis-28387	218	3	show	show	VERB
bracis-28387	218	4	an	an	DET
bracis-28387	218	5	inverse	inverse	NOUN
bracis-28387	218	6	relationship	relationship	NOUN
bracis-28387	218	7	between	between	ADP
bracis-28387	218	8	the	the	DET
bracis-28387	218	9	performance	performance	NOUN
bracis-28387	218	10	on	on	ADP
bracis-28387	218	11	chronological	chronological	ADJ
bracis-28387	218	12	age	age	NOUN
bracis-28387	218	13	prediction	prediction	NOUN
bracis-28387	218	14	(	(	PUNCT
bracis-28387	218	15	see	see	VERB
bracis-28387	218	16	table	table	NOUN
bracis-28387	218	17	 	 	SPACE
bracis-28387	218	18	4	4	NUM
bracis-28387	218	19	)	)	PUNCT
bracis-28387	218	20	and	and	CCONJ
bracis-28387	218	21	the	the	DET
bracis-28387	218	22	reliability	reliability	NOUN
bracis-28387	218	23	of	of	ADP
bracis-28387	218	24	the	the	DET
bracis-28387	218	25	biomarker	biomarker	NOUN
bracis-28387	218	26	for	for	ADP
bracis-28387	218	27	cognitive	cognitive	ADJ
bracis-28387	218	28	impairment	impairment	ADJ
bracis-28387	218	29	levels	level	NOUN
bracis-28387	218	30	(	(	PUNCT
bracis-28387	218	31	see	see	VERB
bracis-28387	218	32	table	table	NOUN
bracis-28387	218	33	 	 	SPACE
bracis-28387	218	34	5	5	NUM
bracis-28387	218	35	)	)	PUNCT
bracis-28387	218	36	.	.	PUNCT
bracis-28387	219	1	this	this	PRON
bracis-28387	219	2	is	be	AUX
bracis-28387	219	3	particularly	particularly	ADV
bracis-28387	219	4	true	true	ADJ
bracis-28387	219	5	for	for	ADP
bracis-28387	219	6	the	the	DET
bracis-28387	219	7	use	use	NOUN
bracis-28387	219	8	of	of	ADP
bracis-28387	219	9	the	the	DET
bracis-28387	219	10	validation	validation	NOUN
bracis-28387	219	11	set	set	VERB
bracis-28387	219	12	for	for	ADP
bracis-28387	219	13	training	training	NOUN
bracis-28387	219	14	brain	brain	NOUN
bracis-28387	219	15	age	age	NOUN
bracis-28387	219	16	models	model	NOUN
bracis-28387	219	17	,	,	PUNCT
bracis-28387	219	18	which	which	PRON
bracis-28387	219	19	significantly	significantly	ADV
bracis-28387	219	20	reduced	reduce	VERB
bracis-28387	219	21	the	the	DET
bracis-28387	219	22	reliability	reliability	NOUN
bracis-28387	219	23	in	in	ADP
bracis-28387	219	24	all	all	DET
bracis-28387	219	25	scenarios	scenario	NOUN
bracis-28387	219	26	.	.	PUNCT
bracis-28387	220	1	given	give	VERB
bracis-28387	220	2	that	that	SCONJ
bracis-28387	220	3	reducing	reduce	VERB
bracis-28387	220	4	the	the	DET
bracis-28387	220	5	distribution	distribution	NOUN
bracis-28387	220	6	shift	shift	NOUN
bracis-28387	220	7	between	between	ADP
bracis-28387	220	8	training	training	NOUN
bracis-28387	220	9	and	and	CCONJ
bracis-28387	220	10	testing	testing	NOUN
bracis-28387	220	11	data	datum	NOUN
bracis-28387	220	12	degraded	degrade	VERB
bracis-28387	220	13	the	the	DET
bracis-28387	220	14	performance	performance	NOUN
bracis-28387	220	15	of	of	ADP
bracis-28387	220	16	the	the	DET
bracis-28387	220	17	biomarker	biomarker	NOUN
bracis-28387	220	18	,	,	PUNCT
bracis-28387	220	19	we	we	PRON
bracis-28387	220	20	speculate	speculate	VERB
bracis-28387	220	21	that	that	SCONJ
bracis-28387	220	22	state	state	NOUN
bracis-28387	220	23	-	-	PUNCT
bracis-28387	220	24	of	of	ADP
bracis-28387	220	25	-	-	PUNCT
bracis-28387	220	26	the	the	DET
bracis-28387	220	27	-	-	PUNCT
bracis-28387	220	28	art	art	NOUN
bracis-28387	220	29	models	model	NOUN
bracis-28387	220	30	got	get	VERB
bracis-28387	220	31	to	to	ADP
bracis-28387	220	32	a	a	DET
bracis-28387	220	33	point	point	NOUN
bracis-28387	220	34	of	of	ADP
bracis-28387	220	35	overfitting	overfitte	VERB
bracis-28387	220	36	the	the	DET
bracis-28387	220	37	images	image	NOUN
bracis-28387	220	38	of	of	ADP
bracis-28387	220	39	healthy	healthy	ADJ
bracis-28387	220	40	subjects	subject	NOUN
bracis-28387	220	41	,	,	PUNCT
bracis-28387	220	42	thus	thus	ADV
bracis-28387	220	43	,	,	PUNCT
bracis-28387	220	44	degrading	degrade	VERB
bracis-28387	220	45	their	their	PRON
bracis-28387	220	46	performance	performance	NOUN
bracis-28387	220	47	on	on	ADP
bracis-28387	220	48	images	image	NOUN
bracis-28387	220	49	from	from	ADP
bracis-28387	220	50	ad	ad	NOUN
bracis-28387	220	51	and	and	CCONJ
bracis-28387	220	52	mci	mci	NOUN
bracis-28387	220	53	patients	patient	NOUN
bracis-28387	220	54	.	.	PUNCT
bracis-28387	221	1	therefore	therefore	ADV
bracis-28387	221	2	,	,	PUNCT
bracis-28387	221	3	we	we	PRON
bracis-28387	221	4	suggest	suggest	VERB
bracis-28387	221	5	that	that	SCONJ
bracis-28387	221	6	the	the	DET
bracis-28387	221	7	validity	validity	NOUN
bracis-28387	221	8	of	of	ADP
bracis-28387	221	9	chronological	chronological	ADJ
bracis-28387	221	10	age	age	NOUN
bracis-28387	221	11	predictions	prediction	NOUN
bracis-28387	221	12	as	as	ADP
bracis-28387	221	13	a	a	DET
bracis-28387	221	14	means	means	NOUN
bracis-28387	221	15	to	to	PART
bracis-28387	221	16	develop	develop	VERB
bracis-28387	221	17	brain	brain	NOUN
bracis-28387	221	18	age	age	NOUN
bracis-28387	221	19	models	model	NOUN
bracis-28387	221	20	is	be	AUX
bracis-28387	221	21	an	an	DET
bracis-28387	221	22	important	important	ADJ
bracis-28387	221	23	investigation	investigation	NOUN
bracis-28387	221	24	topic	topic	NOUN
bracis-28387	221	25	for	for	ADP
bracis-28387	221	26	the	the	DET
bracis-28387	221	27	development	development	NOUN
bracis-28387	221	28	of	of	ADP
bracis-28387	221	29	the	the	DET
bracis-28387	221	30	brain	brain	NOUN
bracis-28387	221	31	age	age	NOUN
bracis-28387	221	32	biomarker	biomarker	NOUN
bracis-28387	221	33	.	.	PUNCT
bracis-28387	222	1	notes	note	VERB
bracis-28387	222	2	1.in	1.in	NUM
bracis-28387	222	3	contrast	contrast	NOUN
bracis-28387	222	4	to	to	ADP
bracis-28387	222	5	natural	natural	ADJ
bracis-28387	222	6	imaging	imaging	NOUN
bracis-28387	222	7	datasets	dataset	NOUN
bracis-28387	222	8	,	,	PUNCT
bracis-28387	222	9	as	as	SCONJ
bracis-28387	222	10	medical	medical	ADJ
bracis-28387	222	11	imaging	imaging	NOUN
bracis-28387	222	12	requires	require	VERB
bracis-28387	222	13	an	an	DET
bracis-28387	222	14	expensive	expensive	ADJ
bracis-28387	222	15	procedure	procedure	NOUN
bracis-28387	222	16	and	and	CCONJ
bracis-28387	222	17	legal	legal	ADJ
bracis-28387	222	18	authorization	authorization	NOUN
bracis-28387	222	19	from	from	ADP
bracis-28387	222	20	each	each	DET
bracis-28387	222	21	subject	subject	NOUN
bracis-28387	222	22	.	.	PUNCT
bracis-28387	223	1	2.https://www.med.upenn.edu/cbica/brats2020/data.html	2.https://www.med.upenn.edu/cbica/brats2020/data.html	X
bracis-28387	223	2	.	.	PUNCT
bracis-28387	224	1	3.https://github.com/gama-ufsc/brain-age	3.https://github.com/gama-ufsc/brain-age	NOUN
bracis-28387	224	2	.	.	PUNCT
bracis-28387	225	1	4.at	4.at	NUM
bracis-28387	225	2	the	the	DET
bracis-28387	225	3	end	end	NOUN
bracis-28387	225	4	of	of	ADP
bracis-28387	225	5	each	each	DET
bracis-28387	225	6	epoch	epoch	NOUN
bracis-28387	225	7	,	,	PUNCT
bracis-28387	225	8	we	we	PRON
bracis-28387	225	9	compute	compute	VERB
bracis-28387	225	10	the	the	DET
bracis-28387	225	11	average	average	NOUN
bracis-28387	225	12	over	over	ADP
bracis-28387	225	13	the	the	DET
bracis-28387	225	14	5	5	NUM
bracis-28387	225	15	latest	late	ADJ
bracis-28387	225	16	results	result	NOUN
bracis-28387	225	17	,	,	PUNCT
bracis-28387	225	18	including	include	VERB
bracis-28387	225	19	the	the	DET
bracis-28387	225	20	current	current	ADJ
bracis-28387	225	21	one	one	NUM
bracis-28387	225	22	.	.	PUNCT
bracis-28387	226	1	5.https://github.com/gama-ufsc/brain-age	5.https://github.com/gama-ufsc/brain-age	X
bracis-28387	226	2	.	.	PUNCT
bracis-28387	227	1	6.the	6.the	DET
bracis-28387	227	2	results	result	NOUN
bracis-28387	227	3	of	of	ADP
bracis-28387	227	4	the	the	DET
bracis-28387	227	5	tests	test	NOUN
bracis-28387	227	6	on	on	ADP
bracis-28387	227	7	cn	cn	PROPN
bracis-28387	227	8	-	-	ADJ
bracis-28387	227	9	mci	mci	PROPN
bracis-28387	227	10	and	and	CCONJ
bracis-28387	227	11	cn	cn	VERB
bracis-28387	227	12	-	-	NOUN
bracis-28387	227	13	ad	ad	NOUN
bracis-28387	227	14	are	be	AUX
bracis-28387	227	15	available	available	ADJ
bracis-28387	227	16	in	in	ADP
bracis-28387	227	17	our	our	PRON
bracis-28387	227	18	code	code	NOUN
bracis-28387	227	19	repository	repository	NOUN
bracis-28387	227	20	https://github.com/gama-ufsc/brain-age	https://github.com/gama-ufsc/brain-age	PROPN
bracis-28387	227	21	.	.	PUNCT
bracis-28387	228	1	references	reference	NOUN
bracis-28387	228	2	armanious	armanious	ADJ
bracis-28387	228	3	,	,	PUNCT
bracis-28387	228	4	k.	k.	PROPN
bracis-28387	228	5	,	,	PUNCT
bracis-28387	228	6	et	et	PROPN
bracis-28387	228	7	al	al	PROPN
bracis-28387	228	8	.	.	PUNCT
bracis-28387	228	9	:	:	PUNCT
bracis-28387	229	1	age	age	NOUN
bracis-28387	229	2	-	-	PUNCT
bracis-28387	229	3	net	net	NOUN
bracis-28387	229	4	:	:	PUNCT
bracis-28387	229	5	an	an	DET
bracis-28387	229	6	mri	mri	NOUN
bracis-28387	229	7	-	-	PUNCT
bracis-28387	229	8	based	base	VERB
bracis-28387	229	9	iterative	iterative	NOUN
bracis-28387	229	10	framework	framework	NOUN
bracis-28387	229	11	for	for	ADP
bracis-28387	229	12	brain	brain	NOUN
bracis-28387	229	13	biological	biological	ADJ
bracis-28387	229	14	age	age	NOUN
bracis-28387	229	15	estimation	estimation	NOUN
bracis-28387	229	16	.	.	PUNCT
bracis-28387	230	1	ieee	ieee	PROPN
bracis-28387	230	2	trans	trans	PROPN
bracis-28387	230	3	.	.	PROPN
bracis-28387	230	4	med	med	PROPN
bracis-28387	230	5	.	.	PUNCT
bracis-28387	231	1	imaging	imaging	PROPN
bracis-28387	231	2	40(7	40(7	NOUN
bracis-28387	231	3	)	)	PUNCT
bracis-28387	231	4	,	,	PUNCT
bracis-28387	231	5	1778–1791	1778–1791	NUM
bracis-28387	231	6	(	(	PUNCT
bracis-28387	231	7	2021	2021	NUM
bracis-28387	231	8	)	)	PUNCT
bracis-28387	231	9	.	.	PUNCT
bracis-28387	232	1	https://doi.org/10.1109/tmi.2021.3066857	https://doi.org/10.1109/tmi.2021.3066857	ADJ
bracis-28387	232	2	bakas	bakas	PROPN
bracis-28387	232	3	,	,	PUNCT
bracis-28387	232	4	s.	s.	PROPN
bracis-28387	232	5	,	,	PUNCT
bracis-28387	232	6	et	et	PROPN
bracis-28387	232	7	al	al	PROPN
bracis-28387	232	8	.	.	PROPN
bracis-28387	232	9	:	:	PUNCT
bracis-28387	232	10	advancing	advance	VERB
bracis-28387	232	11	the	the	DET
bracis-28387	232	12	cancer	cancer	NOUN
bracis-28387	232	13	genome	genome	NOUN
bracis-28387	232	14	atlas	atlas	PROPN
bracis-28387	232	15	glioma	glioma	NOUN
bracis-28387	232	16	mri	mri	NOUN
bracis-28387	232	17	collections	collection	NOUN
bracis-28387	232	18	with	with	ADP
bracis-28387	232	19	expert	expert	NOUN
bracis-28387	232	20	segmentation	segmentation	NOUN
bracis-28387	232	21	labels	label	NOUN
bracis-28387	232	22	and	and	CCONJ
bracis-28387	232	23	radiomic	radiomic	ADJ
bracis-28387	232	24	features	feature	NOUN
bracis-28387	232	25	.	.	PUNCT
bracis-28387	233	1	sci	sci	PROPN
bracis-28387	233	2	.	.	PROPN
bracis-28387	233	3	data	data	PROPN
bracis-28387	233	4	4(1	4(1	NOUN
bracis-28387	233	5	)	)	PUNCT
bracis-28387	233	6	,	,	PUNCT
bracis-28387	233	7	170117	170117	NUM
bracis-28387	233	8	(	(	PUNCT
bracis-28387	233	9	2017	2017	NUM
bracis-28387	233	10	)	)	PUNCT
bracis-28387	233	11	.	.	PUNCT
bracis-28387	234	1	https://doi.org/10.1038/sdata.2017.117	https://doi.org/10.1038/sdata.2017.117	PROPN
bracis-28387	234	2	article	article	NOUN
bracis-28387	234	3	  	  	SPACE
bracis-28387	234	4	google	google	PROPN
bracis-28387	234	5	scholar	scholar	NOUN
bracis-28387	234	6	  	  	SPACE
bracis-28387	234	7	bakas	bakas	NOUN
bracis-28387	234	8	,	,	PUNCT
bracis-28387	234	9	s.	s.	PROPN
bracis-28387	234	10	,	,	PUNCT
bracis-28387	234	11	et	et	PROPN
bracis-28387	234	12	al	al	PROPN
bracis-28387	234	13	.	.	PROPN
bracis-28387	234	14	:	:	PUNCT
bracis-28387	234	15	identifying	identify	VERB
bracis-28387	234	16	the	the	DET
bracis-28387	234	17	best	good	ADJ
bracis-28387	234	18	machine	machine	NOUN
bracis-28387	234	19	learning	learn	VERB
bracis-28387	234	20	algorithms	algorithm	NOUN
bracis-28387	234	21	for	for	ADP
bracis-28387	234	22	brain	brain	NOUN
bracis-28387	234	23	tumor	tumor	NOUN
bracis-28387	234	24	segmentation	segmentation	NOUN
bracis-28387	234	25	,	,	PUNCT
bracis-28387	234	26	progression	progression	NOUN
bracis-28387	234	27	assessment	assessment	NOUN
bracis-28387	234	28	,	,	PUNCT
bracis-28387	234	29	and	and	CCONJ
bracis-28387	234	30	overall	overall	ADJ
bracis-28387	234	31	survival	survival	NOUN
bracis-28387	234	32	prediction	prediction	NOUN
bracis-28387	234	33	in	in	ADP
bracis-28387	234	34	the	the	DET
bracis-28387	234	35	brats	brat	NOUN
bracis-28387	234	36	challenge	challenge	NOUN
bracis-28387	234	37	(	(	PUNCT
bracis-28387	234	38	2018	2018	NUM
bracis-28387	234	39	)	)	PUNCT
bracis-28387	234	40	.	.	PUNCT
bracis-28387	235	1	https://doi.org/10.48550/arxiv.1811.02629	https://doi.org/10.48550/arxiv.1811.02629	NOUN
bracis-28387	235	2	.	.	PUNCT
bracis-28387	235	3	publisher	publisher	NOUN
bracis-28387	235	4	:	:	PUNCT
bracis-28387	235	5	arxiv	arxiv	PROPN
bracis-28387	235	6	version	version	NOUN
bracis-28387	235	7	number	number	NOUN
bracis-28387	235	8	:	:	PUNCT
bracis-28387	235	9	3	3	NUM
bracis-28387	235	10	bashyam	bashyam	PROPN
bracis-28387	235	11	,	,	PUNCT
bracis-28387	235	12	v.m	v.m	PROPN
bracis-28387	235	13	.	.	PROPN
bracis-28387	235	14	,	,	PUNCT
bracis-28387	235	15	et	et	PROPN
bracis-28387	235	16	al	al	PROPN
bracis-28387	235	17	.	.	PROPN
bracis-28387	235	18	:	:	PUNCT
bracis-28387	236	1	mri	mri	NOUN
bracis-28387	236	2	signatures	signature	NOUN
bracis-28387	236	3	of	of	ADP
bracis-28387	236	4	brain	brain	NOUN
bracis-28387	236	5	age	age	NOUN
bracis-28387	236	6	and	and	CCONJ
bracis-28387	236	7	disease	disease	NOUN
bracis-28387	236	8	over	over	ADP
bracis-28387	236	9	the	the	DET
bracis-28387	236	10	lifespan	lifespan	NOUN
bracis-28387	236	11	based	base	VERB
bracis-28387	236	12	on	on	ADP
bracis-28387	236	13	a	a	DET
bracis-28387	236	14	deep	deep	ADJ
bracis-28387	236	15	brain	brain	NOUN
bracis-28387	236	16	network	network	NOUN
bracis-28387	236	17	and	and	CCONJ
bracis-28387	236	18	14,468	14,468	NUM
bracis-28387	236	19	individuals	individual	NOUN
bracis-28387	236	20	worldwide	worldwide	ADV
bracis-28387	236	21	.	.	PUNCT
bracis-28387	237	1	brain	brain	NOUN
bracis-28387	237	2	143(7	143(7	NUM
bracis-28387	237	3	)	)	PUNCT
bracis-28387	237	4	,	,	PUNCT
bracis-28387	237	5	2312–2324	2312–2324	NUM
bracis-28387	237	6	(	(	PUNCT
bracis-28387	237	7	2020	2020	NUM
bracis-28387	237	8	)	)	PUNCT
bracis-28387	237	9	.	.	PUNCT
bracis-28387	238	1	https://doi.org/10.1093/brain/awaa160	https://doi.org/10.1093/brain/awaa160	PROPN
bracis-28387	238	2	article	article	NOUN
bracis-28387	238	3	  	  	SPACE
bracis-28387	238	4	google	google	PROPN
bracis-28387	238	5	scholar	scholar	NOUN
bracis-28387	238	6	  	  	SPACE
bracis-28387	238	7	cole	cole	PROPN
bracis-28387	238	8	,	,	PUNCT
bracis-28387	238	9	j.h	j.h	PROPN
bracis-28387	238	10	.	.	PROPN
bracis-28387	238	11	,	,	PUNCT
bracis-28387	238	12	et	et	PROPN
bracis-28387	238	13	al	al	PROPN
bracis-28387	238	14	.	.	PROPN
bracis-28387	238	15	:	:	PUNCT
bracis-28387	239	1	brain	brain	NOUN
bracis-28387	239	2	age	age	NOUN
bracis-28387	239	3	predicts	predict	VERB
bracis-28387	239	4	mortality	mortality	NOUN
bracis-28387	239	5	.	.	PUNCT
bracis-28387	240	1	mol	mol	PROPN
bracis-28387	240	2	.	.	PUNCT
bracis-28387	240	3	psychiatry	psychiatry	PROPN
bracis-28387	240	4	23(5	23(5	NOUN
bracis-28387	240	5	)	)	PUNCT
bracis-28387	240	6	,	,	PUNCT
bracis-28387	240	7	1385–1392	1385–1392	NUM
bracis-28387	240	8	(	(	PUNCT
bracis-28387	240	9	2018	2018	NUM
bracis-28387	240	10	)	)	PUNCT
bracis-28387	240	11	.	.	PUNCT
bracis-28387	241	1	https://doi.org/10.1038/mp.2017.62	https://doi.org/10.1038/mp.2017.62	VERB
bracis-28387	241	2	article	article	NOUN
bracis-28387	241	3	  	  	SPACE
bracis-28387	241	4	google	google	PROPN
bracis-28387	241	5	scholar	scholar	NOUN
bracis-28387	241	6	  	  	SPACE
bracis-28387	241	7	cole	cole	PROPN
bracis-28387	241	8	,	,	PUNCT
bracis-28387	241	9	j.h	j.h	PROPN
bracis-28387	241	10	.	.	PROPN
bracis-28387	241	11	,	,	PUNCT
bracis-28387	241	12	leech	leech	NOUN
bracis-28387	241	13	,	,	PUNCT
bracis-28387	241	14	r.	r.	PROPN
bracis-28387	241	15	,	,	PUNCT
bracis-28387	241	16	sharp	sharp	ADJ
bracis-28387	241	17	,	,	PUNCT
bracis-28387	241	18	d.j	d.j	PROPN
bracis-28387	241	19	.	.	PROPN
bracis-28387	241	20	,	,	PUNCT
bracis-28387	241	21	for	for	ADP
bracis-28387	241	22	the	the	DET
bracis-28387	241	23	alzheimer	alzheimer	PROPN
bracis-28387	241	24	’s	’s	PART
bracis-28387	241	25	disease	disease	NOUN
bracis-28387	241	26	neuroimaging	neuroimaging	NOUN
bracis-28387	241	27	initiative	initiative	NOUN
bracis-28387	241	28	:	:	PUNCT
bracis-28387	241	29	prediction	prediction	NOUN
bracis-28387	241	30	of	of	ADP
bracis-28387	241	31	brain	brain	NOUN
bracis-28387	241	32	age	age	NOUN
bracis-28387	241	33	suggests	suggest	VERB
bracis-28387	241	34	accelerated	accelerate	VERB
bracis-28387	241	35	atrophy	atrophy	NOUN
bracis-28387	241	36	after	after	ADP
bracis-28387	241	37	traumatic	traumatic	ADJ
bracis-28387	241	38	brain	brain	NOUN
bracis-28387	241	39	injury	injury	PROPN
bracis-28387	241	40	.	.	PUNCT
bracis-28387	242	1	ann	ann	PROPN
bracis-28387	242	2	.	.	PUNCT
bracis-28387	242	3	neurol	neurol	PROPN
bracis-28387	242	4	.	.	PUNCT
bracis-28387	243	1	77(4	77(4	X
bracis-28387	243	2	)	)	PUNCT
bracis-28387	243	3	,	,	PUNCT
bracis-28387	243	4	571–581	571–581	NUM
bracis-28387	243	5	(	(	PUNCT
bracis-28387	243	6	2015	2015	NUM
bracis-28387	243	7	)	)	PUNCT
bracis-28387	243	8	.	.	PUNCT
bracis-28387	244	1	https://doi.org/10.1002/ana.24367	https://doi.org/10.1002/ana.24367	PROPN
bracis-28387	244	2	cole	cole	PROPN
bracis-28387	244	3	,	,	PUNCT
bracis-28387	244	4	j.h	j.h	PROPN
bracis-28387	244	5	.	.	PROPN
bracis-28387	244	6	,	,	PUNCT
bracis-28387	244	7	et	et	PROPN
bracis-28387	244	8	al	al	PROPN
bracis-28387	244	9	.	.	PROPN
bracis-28387	244	10	:	:	PUNCT
bracis-28387	244	11	predicting	predict	VERB
bracis-28387	244	12	brain	brain	NOUN
bracis-28387	244	13	age	age	NOUN
bracis-28387	244	14	with	with	ADP
bracis-28387	244	15	deep	deep	ADJ
bracis-28387	244	16	learning	learning	NOUN
bracis-28387	244	17	from	from	ADP
bracis-28387	244	18	raw	raw	ADJ
bracis-28387	244	19	imaging	imaging	NOUN
bracis-28387	244	20	data	datum	NOUN
bracis-28387	244	21	results	result	NOUN
bracis-28387	244	22	in	in	ADP
bracis-28387	244	23	a	a	DET
bracis-28387	244	24	reliable	reliable	ADJ
bracis-28387	244	25	and	and	CCONJ
bracis-28387	244	26	heritable	heritable	ADJ
bracis-28387	244	27	biomarker	biomarker	NOUN
bracis-28387	244	28	.	.	PUNCT
bracis-28387	245	1	neuroimage	neuroimage	NOUN
bracis-28387	245	2	163	163	NUM
bracis-28387	245	3	,	,	PUNCT
bracis-28387	245	4	115–124	115–124	NUM
bracis-28387	245	5	(	(	PUNCT
bracis-28387	245	6	2017	2017	NUM
bracis-28387	245	7	)	)	PUNCT
bracis-28387	245	8	.	.	PUNCT
bracis-28387	246	1	https://doi.org/10.1016/j.neuroimage.2017.07.059	https://doi.org/10.1016/j.neuroimage.2017.07.059	PROPN
bracis-28387	246	2	article	article	NOUN
bracis-28387	246	3	  	  	SPACE
bracis-28387	246	4	google	google	PROPN
bracis-28387	246	5	scholar	scholar	NOUN
bracis-28387	246	6	  	  	SPACE
bracis-28387	246	7	dinsdale	dinsdale	NOUN
bracis-28387	246	8	,	,	PUNCT
bracis-28387	246	9	n.k	n.k	PROPN
bracis-28387	246	10	.	.	PROPN
bracis-28387	246	11	,	,	PUNCT
bracis-28387	246	12	et	et	PROPN
bracis-28387	246	13	al	al	PROPN
bracis-28387	246	14	.	.	PUNCT
bracis-28387	246	15	:	:	PUNCT
bracis-28387	247	1	learning	learn	VERB
bracis-28387	247	2	patterns	pattern	NOUN
bracis-28387	247	3	of	of	ADP
bracis-28387	247	4	the	the	DET
bracis-28387	247	5	ageing	age	VERB
bracis-28387	247	6	brain	brain	NOUN
bracis-28387	247	7	in	in	ADP
bracis-28387	247	8	mri	mri	NOUN
bracis-28387	247	9	using	use	VERB
bracis-28387	247	10	deep	deep	ADJ
bracis-28387	247	11	convolutional	convolutional	ADJ
bracis-28387	247	12	networks	network	NOUN
bracis-28387	247	13	.	.	PUNCT
bracis-28387	248	1	neuroimage	neuroimage	NOUN
bracis-28387	248	2	224	224	NUM
bracis-28387	248	3	,	,	PUNCT
bracis-28387	248	4	117401	117401	NUM
bracis-28387	248	5	(	(	PUNCT
bracis-28387	248	6	2021	2021	NUM
bracis-28387	248	7	)	)	PUNCT
bracis-28387	248	8	.	.	PUNCT
bracis-28387	249	1	https://doi.org/10.1016/j.neuroimage.2020.117401	https://doi.org/10.1016/j.neuroimage.2020.117401	PROPN
bracis-28387	249	2	article	article	PROPN
bracis-28387	249	3	  	  	SPACE
bracis-28387	249	4	google	google	PROPN
bracis-28387	249	5	scholar	scholar	NOUN
bracis-28387	249	6	  	  	SPACE
bracis-28387	249	7	fay	fay	PROPN
bracis-28387	249	8	,	,	PUNCT
bracis-28387	249	9	m.p	m.p	PROPN
bracis-28387	249	10	.	.	PROPN
bracis-28387	249	11	,	,	PUNCT
bracis-28387	249	12	proschan	proschan	PROPN
bracis-28387	249	13	,	,	PUNCT
bracis-28387	249	14	m.a	m.a	PROPN
bracis-28387	249	15	.	.	PROPN
bracis-28387	249	16	:	:	PUNCT
bracis-28387	250	1	wilcoxon	wilcoxon	PROPN
bracis-28387	250	2	-	-	PUNCT
bracis-28387	250	3	mann	mann	PROPN
bracis-28387	250	4	-	-	PUNCT
bracis-28387	250	5	whitney	whitney	PROPN
bracis-28387	250	6	or	or	CCONJ
bracis-28387	250	7	t	t	PROPN
bracis-28387	250	8	-	-	PUNCT
bracis-28387	250	9	test	test	NOUN
bracis-28387	250	10	?	?	PUNCT
bracis-28387	251	1	on	on	ADP
bracis-28387	251	2	assumptions	assumption	NOUN
bracis-28387	251	3	for	for	ADP
bracis-28387	251	4	hypothesis	hypothesis	NOUN
bracis-28387	251	5	tests	test	NOUN
bracis-28387	251	6	and	and	CCONJ
bracis-28387	251	7	multiple	multiple	ADJ
bracis-28387	251	8	interpretations	interpretation	NOUN
bracis-28387	251	9	of	of	ADP
bracis-28387	251	10	decision	decision	NOUN
bracis-28387	251	11	rules	rule	NOUN
bracis-28387	251	12	.	.	PUNCT
bracis-28387	252	1	stat	stat	PROPN
bracis-28387	252	2	.	.	PUNCT
bracis-28387	253	1	surv	surv	PROPN
bracis-28387	253	2	.	.	PUNCT
bracis-28387	254	1	4	4	NUM
bracis-28387	254	2	,	,	PUNCT
bracis-28387	254	3	1–39	1–39	NUM
bracis-28387	254	4	(	(	PUNCT
bracis-28387	254	5	2010	2010	NUM
bracis-28387	254	6	)	)	PUNCT
bracis-28387	254	7	.	.	PUNCT
bracis-28387	255	1	https://doi.org/10.1214/09-ss051	https://doi.org/10.1214/09-ss051	PROPN
bracis-28387	255	2	franke	franke	PROPN
bracis-28387	255	3	,	,	PUNCT
bracis-28387	255	4	k.	k.	PROPN
bracis-28387	255	5	,	,	PUNCT
bracis-28387	255	6	ziegler	ziegler	PROPN
bracis-28387	255	7	,	,	PUNCT
bracis-28387	255	8	g.	g.	PROPN
bracis-28387	255	9	,	,	PUNCT
bracis-28387	255	10	klöppel	klöppel	PROPN
bracis-28387	255	11	,	,	PUNCT
bracis-28387	255	12	s.	s.	PROPN
bracis-28387	255	13	,	,	PUNCT
bracis-28387	255	14	gaser	gaser	NOUN
bracis-28387	255	15	,	,	PUNCT
bracis-28387	255	16	c.	c.	NOUN
bracis-28387	255	17	:	:	PUNCT
bracis-28387	255	18	estimating	estimate	VERB
bracis-28387	255	19	the	the	DET
bracis-28387	255	20	age	age	NOUN
bracis-28387	255	21	of	of	ADP
bracis-28387	255	22	healthy	healthy	ADJ
bracis-28387	255	23	subjects	subject	NOUN
bracis-28387	255	24	from	from	ADP
bracis-28387	255	25	t1	t1	NOUN
bracis-28387	255	26	-	-	PUNCT
bracis-28387	255	27	weighted	weight	VERB
bracis-28387	255	28	mri	mri	NOUN
bracis-28387	255	29	scans	scan	NOUN
bracis-28387	255	30	using	use	VERB
bracis-28387	255	31	kernel	kernel	PROPN
bracis-28387	255	32	methods	method	NOUN
bracis-28387	255	33	:	:	PUNCT
bracis-28387	255	34	exploring	explore	VERB
bracis-28387	255	35	the	the	DET
bracis-28387	255	36	influence	influence	NOUN
bracis-28387	255	37	of	of	ADP
bracis-28387	255	38	various	various	ADJ
bracis-28387	255	39	parameters	parameter	NOUN
bracis-28387	255	40	.	.	PUNCT
bracis-28387	256	1	neuroimage	neuroimage	NOUN
bracis-28387	256	2	50(3	50(3	NOUN
bracis-28387	256	3	)	)	PUNCT
bracis-28387	256	4	,	,	PUNCT
bracis-28387	256	5	883–892	883–892	NUM
bracis-28387	256	6	(	(	PUNCT
bracis-28387	256	7	2010	2010	NUM
bracis-28387	256	8	)	)	PUNCT
bracis-28387	256	9	.	.	PUNCT
bracis-28387	257	1	https://doi.org/10.1016/j.neuroimage.2010.01.005	https://doi.org/10.1016/j.neuroimage.2010.01.005	PROPN
bracis-28387	257	2	article	article	NOUN
bracis-28387	257	3	  	  	SPACE
bracis-28387	257	4	google	google	PROPN
bracis-28387	257	5	scholar	scholar	NOUN
bracis-28387	257	6	  	  	SPACE
bracis-28387	257	7	gaser	gaser	NOUN
bracis-28387	257	8	,	,	PUNCT
bracis-28387	257	9	c.	c.	NOUN
bracis-28387	257	10	,	,	PUNCT
bracis-28387	257	11	franke	franke	PROPN
bracis-28387	257	12	,	,	PUNCT
bracis-28387	257	13	k.	k.	PROPN
bracis-28387	257	14	,	,	PUNCT
bracis-28387	257	15	klöppel	klöppel	PROPN
bracis-28387	257	16	,	,	PUNCT
bracis-28387	257	17	s.	s.	PROPN
bracis-28387	257	18	,	,	PUNCT
bracis-28387	257	19	koutsouleris	koutsouleris	PROPN
bracis-28387	257	20	,	,	PUNCT
bracis-28387	257	21	n.	n.	NOUN
bracis-28387	257	22	,	,	PUNCT
bracis-28387	257	23	sauer	sauer	PROPN
bracis-28387	257	24	,	,	PUNCT
bracis-28387	257	25	h.	h.	PROPN
bracis-28387	257	26	:	:	PUNCT
bracis-28387	257	27	alzheimer	alzheimer	PROPN
bracis-28387	257	28	’s	’s	PART
bracis-28387	257	29	disease	disease	NOUN
bracis-28387	257	30	neuroimaging	neuroimaging	NOUN
bracis-28387	257	31	initiative	initiative	NOUN
bracis-28387	257	32	:	:	PUNCT
bracis-28387	257	33	brainage	brainage	NOUN
bracis-28387	257	34	in	in	ADP
bracis-28387	257	35	mild	mild	ADJ
bracis-28387	257	36	cognitive	cognitive	ADJ
bracis-28387	257	37	impaired	impaired	ADJ
bracis-28387	257	38	patients	patient	NOUN
bracis-28387	257	39	:	:	PUNCT
bracis-28387	257	40	predicting	predict	VERB
bracis-28387	257	41	the	the	DET
bracis-28387	257	42	conversion	conversion	NOUN
bracis-28387	257	43	to	to	ADP
bracis-28387	257	44	alzheimer	alzheimer	PROPN
bracis-28387	257	45	’s	’s	PART
bracis-28387	257	46	disease	disease	NOUN
bracis-28387	257	47	.	.	PUNCT
bracis-28387	258	1	plos	plos	PROPN
bracis-28387	258	2	one	one	NUM
bracis-28387	258	3	8(6	8(6	NUM
bracis-28387	258	4	)	)	PUNCT
bracis-28387	258	5	,	,	PUNCT
bracis-28387	258	6	e67346	e67346	PROPN
bracis-28387	258	7	(	(	PUNCT
bracis-28387	258	8	2013	2013	NUM
bracis-28387	258	9	)	)	PUNCT
bracis-28387	258	10	.	.	PUNCT
bracis-28387	259	1	https://doi.org/10.1371/journal.pone.0067346	https://doi.org/10.1371/journal.pone.0067346	ADJ
bracis-28387	259	2	article	article	NOUN
bracis-28387	259	3	  	  	SPACE
bracis-28387	259	4	google	google	PROPN
bracis-28387	259	5	scholar	scholar	NOUN
bracis-28387	259	6	  	  	SPACE
bracis-28387	259	7	he	he	PRON
bracis-28387	259	8	,	,	PUNCT
bracis-28387	259	9	k.	k.	PROPN
bracis-28387	259	10	,	,	PUNCT
bracis-28387	259	11	zhang	zhang	PROPN
bracis-28387	259	12	,	,	PUNCT
bracis-28387	259	13	x.	x.	PROPN
bracis-28387	259	14	,	,	PUNCT
bracis-28387	259	15	ren	ren	PROPN
bracis-28387	259	16	,	,	PUNCT
bracis-28387	259	17	s.	s.	PROPN
bracis-28387	259	18	,	,	PUNCT
bracis-28387	259	19	sun	sun	PROPN
bracis-28387	259	20	,	,	PUNCT
bracis-28387	259	21	j.	j.	PROPN
bracis-28387	259	22	:	:	PUNCT
bracis-28387	259	23	deep	deep	ADJ
bracis-28387	259	24	residual	residual	ADJ
bracis-28387	259	25	learning	learning	NOUN
bracis-28387	259	26	for	for	ADP
bracis-28387	259	27	image	image	NOUN
bracis-28387	259	28	recognition	recognition	NOUN
bracis-28387	259	29	.	.	PUNCT
bracis-28387	260	1	in	in	ADP
bracis-28387	260	2	:	:	PUNCT
bracis-28387	260	3	2016	2016	NUM
bracis-28387	260	4	ieee	ieee	NOUN
bracis-28387	260	5	conference	conference	NOUN
bracis-28387	260	6	on	on	ADP
bracis-28387	260	7	computer	computer	NOUN
bracis-28387	260	8	vision	vision	NOUN
bracis-28387	260	9	and	and	CCONJ
bracis-28387	260	10	pattern	pattern	NOUN
bracis-28387	260	11	recognition	recognition	NOUN
bracis-28387	260	12	(	(	PUNCT
bracis-28387	260	13	cvpr	cvpr	NOUN
bracis-28387	260	14	)	)	PUNCT
bracis-28387	260	15	,	,	PUNCT
bracis-28387	260	16	pp	pp	ADP
bracis-28387	260	17	.	.	PUNCT
bracis-28387	261	1	770–778	770–778	NUM
bracis-28387	261	2	(	(	PUNCT
bracis-28387	261	3	2016	2016	NUM
bracis-28387	261	4	)	)	PUNCT
bracis-28387	261	5	.	.	PUNCT
bracis-28387	262	1	https://doi.org/10.1109/cvpr.2016.90	https://doi.org/10.1109/cvpr.2016.90	PROPN
bracis-28387	262	2	deng	deng	PROPN
bracis-28387	262	3	,	,	PUNCT
bracis-28387	262	4	j.	j.	PROPN
bracis-28387	262	5	,	,	PUNCT
bracis-28387	262	6	berg	berg	PROPN
bracis-28387	262	7	,	,	PUNCT
bracis-28387	262	8	a.c	a.c	PROPN
bracis-28387	262	9	.	.	PROPN
bracis-28387	262	10	,	,	PUNCT
bracis-28387	262	11	li	li	PROPN
bracis-28387	262	12	,	,	PUNCT
bracis-28387	262	13	k.	k.	PROPN
bracis-28387	262	14	,	,	PUNCT
bracis-28387	262	15	fei	fei	PROPN
bracis-28387	262	16	-	-	PUNCT
bracis-28387	262	17	fei	fei	PROPN
bracis-28387	262	18	,	,	PUNCT
bracis-28387	262	19	l.	l.	PROPN
bracis-28387	262	20	:	:	PUNCT
bracis-28387	262	21	what	what	PRON
bracis-28387	262	22	does	do	AUX
bracis-28387	262	23	classifying	classify	VERB
bracis-28387	262	24	more	more	ADJ
bracis-28387	262	25	than	than	ADP
bracis-28387	262	26	10,000	10,000	NUM
bracis-28387	262	27	image	image	NOUN
bracis-28387	262	28	categories	category	NOUN
bracis-28387	262	29	tell	tell	VERB
bracis-28387	262	30	us	we	PRON
bracis-28387	262	31	?	?	PUNCT
bracis-28387	263	1	in	in	ADP
bracis-28387	263	2	:	:	PUNCT
bracis-28387	263	3	daniilidis	daniilidis	PROPN
bracis-28387	263	4	,	,	PUNCT
bracis-28387	263	5	k.	k.	PROPN
bracis-28387	263	6	,	,	PUNCT
bracis-28387	263	7	maragos	marago	NOUN
bracis-28387	263	8	,	,	PUNCT
bracis-28387	263	9	p.	p.	NOUN
bracis-28387	263	10	,	,	PUNCT
bracis-28387	263	11	paragios	paragio	NOUN
bracis-28387	263	12	,	,	PUNCT
bracis-28387	263	13	n.	n.	NOUN
bracis-28387	263	14	(	(	PUNCT
bracis-28387	263	15	eds	ed	NOUN
bracis-28387	263	16	.	.	PUNCT
bracis-28387	263	17	)	)	PUNCT
bracis-28387	263	18	eccv	eccv	ADV
bracis-28387	263	19	2010	2010	NUM
bracis-28387	263	20	.	.	PUNCT
bracis-28387	264	1	lncs	lncs	PROPN
bracis-28387	264	2	,	,	PUNCT
bracis-28387	264	3	vol	vol	NOUN
bracis-28387	264	4	.	.	PUNCT
bracis-28387	264	5	6315	6315	NUM
bracis-28387	264	6	,	,	PUNCT
bracis-28387	264	7	pp	pp	ADV
bracis-28387	264	8	.	.	PUNCT
bracis-28387	265	1	71–84	71–84	NOUN
bracis-28387	265	2	.	.	PUNCT
bracis-28387	266	1	springer	springer	NOUN
bracis-28387	266	2	,	,	PUNCT
bracis-28387	266	3	heidelberg	heidelberg	PROPN
bracis-28387	266	4	(	(	PUNCT
bracis-28387	266	5	2010	2010	NUM
bracis-28387	266	6	)	)	PUNCT
bracis-28387	266	7	.	.	PUNCT
bracis-28387	267	1	https://doi.org/10.1007/978-3-642-15555-0_6	https://doi.org/10.1007/978-3-642-15555-0_6	PUNCT
bracis-28387	267	2	chapter	chapter	NOUN
bracis-28387	267	3	  	  	SPACE
bracis-28387	267	4	google	google	PROPN
bracis-28387	267	5	scholar	scholar	NOUN
bracis-28387	267	6	  	  	SPACE
bracis-28387	267	7	isensee	isensee	NOUN
bracis-28387	267	8	,	,	PUNCT
bracis-28387	267	9	f.	f.	PROPN
bracis-28387	267	10	,	,	PUNCT
bracis-28387	267	11	jaeger	jaeger	PROPN
bracis-28387	267	12	,	,	PUNCT
bracis-28387	267	13	p.f	p.f	PROPN
bracis-28387	267	14	.	.	PROPN
bracis-28387	267	15	,	,	PUNCT
bracis-28387	267	16	kohl	kohl	NOUN
bracis-28387	267	17	,	,	PUNCT
bracis-28387	267	18	s.a.a	s.a.a	PROPN
bracis-28387	267	19	.	.	PROPN
bracis-28387	267	20	,	,	PUNCT
bracis-28387	267	21	petersen	petersen	PROPN
bracis-28387	267	22	,	,	PUNCT
bracis-28387	267	23	j.	j.	PROPN
bracis-28387	267	24	,	,	PUNCT
bracis-28387	267	25	maier	maier	PROPN
bracis-28387	267	26	-	-	PUNCT
bracis-28387	267	27	hein	hein	PROPN
bracis-28387	267	28	,	,	PUNCT
bracis-28387	267	29	k.h	k.h	PROPN
bracis-28387	267	30	.	.	PROPN
bracis-28387	267	31	:	:	PUNCT
bracis-28387	268	1	nnu	nnu	PROPN
bracis-28387	268	2	-	-	PROPN
bracis-28387	268	3	net	net	NOUN
bracis-28387	268	4	:	:	PUNCT
bracis-28387	268	5	a	a	DET
bracis-28387	268	6	self	self	NOUN
bracis-28387	268	7	-	-	PUNCT
bracis-28387	268	8	configuring	configure	VERB
bracis-28387	268	9	method	method	NOUN
bracis-28387	268	10	for	for	ADP
bracis-28387	268	11	deep	deep	ADJ
bracis-28387	268	12	learning	learning	NOUN
bracis-28387	268	13	-	-	PUNCT
bracis-28387	268	14	based	base	VERB
bracis-28387	268	15	biomedical	biomedical	ADJ
bracis-28387	268	16	image	image	NOUN
bracis-28387	268	17	segmentation	segmentation	NOUN
bracis-28387	268	18	.	.	PUNCT
bracis-28387	269	1	nat	nat	PROPN
bracis-28387	269	2	.	.	PUNCT
bracis-28387	270	1	methods	method	NOUN
bracis-28387	270	2	18(2	18(2	NUM
bracis-28387	270	3	)	)	PUNCT
bracis-28387	270	4	,	,	PUNCT
bracis-28387	270	5	203–211	203–211	NUM
bracis-28387	270	6	(	(	PUNCT
bracis-28387	270	7	2021	2021	NUM
bracis-28387	270	8	)	)	PUNCT
bracis-28387	270	9	.	.	PUNCT
bracis-28387	271	1	https://doi.org/10.1038/s41592-020-01008-z	https://doi.org/10.1038/s41592-020-01008-z	PROPN
bracis-28387	271	2	article	article	PROPN
bracis-28387	271	3	  	  	SPACE
bracis-28387	271	4	google	google	PROPN
bracis-28387	271	5	scholar	scholar	NOUN
bracis-28387	271	6	  	  	SPACE
bracis-28387	271	7	isensee	isensee	NOUN
bracis-28387	271	8	,	,	PUNCT
bracis-28387	271	9	f.	f.	PROPN
bracis-28387	271	10	,	,	PUNCT
bracis-28387	271	11	jäger	jäger	PROPN
bracis-28387	271	12	,	,	PUNCT
bracis-28387	271	13	p.f	p.f	PROPN
bracis-28387	271	14	.	.	PROPN
bracis-28387	271	15	,	,	PUNCT
bracis-28387	271	16	full	full	ADJ
bracis-28387	271	17	,	,	PUNCT
bracis-28387	271	18	p.m.	p.m.	NOUN
bracis-28387	271	19	,	,	PUNCT
bracis-28387	271	20	vollmuth	vollmuth	NOUN
bracis-28387	271	21	,	,	PUNCT
bracis-28387	271	22	p.	p.	PROPN
bracis-28387	271	23	,	,	PUNCT
bracis-28387	271	24	maier	maier	PROPN
bracis-28387	271	25	-	-	PUNCT
bracis-28387	271	26	hein	hein	PROPN
bracis-28387	271	27	,	,	PUNCT
bracis-28387	271	28	k.h	k.h	PROPN
bracis-28387	271	29	.	.	PROPN
bracis-28387	271	30	:	:	PUNCT
bracis-28387	272	1	nnu	nnu	PROPN
bracis-28387	272	2	-	-	PROPN
bracis-28387	272	3	net	net	PROPN
bracis-28387	272	4	for	for	ADP
bracis-28387	272	5	brain	brain	NOUN
bracis-28387	272	6	tumor	tumor	NOUN
bracis-28387	272	7	segmentation	segmentation	NOUN
bracis-28387	272	8	.	.	PUNCT
bracis-28387	273	1	in	in	ADP
bracis-28387	273	2	:	:	PUNCT
bracis-28387	273	3	crimi	crimi	PROPN
bracis-28387	273	4	,	,	PUNCT
bracis-28387	273	5	a.	a.	NOUN
bracis-28387	273	6	,	,	PUNCT
bracis-28387	273	7	bakas	bakas	PROPN
bracis-28387	273	8	,	,	PUNCT
bracis-28387	273	9	s.	s.	PROPN
bracis-28387	273	10	(	(	PUNCT
bracis-28387	273	11	eds	eds	PROPN
bracis-28387	273	12	.	.	PUNCT
bracis-28387	273	13	)	)	PUNCT
bracis-28387	273	14	brainles	brainle	NOUN
bracis-28387	273	15	2020	2020	NUM
bracis-28387	273	16	.	.	PUNCT
bracis-28387	274	1	lncs	lncs	PROPN
bracis-28387	274	2	,	,	PUNCT
bracis-28387	274	3	vol	vol	NOUN
bracis-28387	274	4	.	.	PROPN
bracis-28387	274	5	12659	12659	NUM
bracis-28387	274	6	,	,	PUNCT
bracis-28387	274	7	pp	pp	ADP
bracis-28387	274	8	.	.	PUNCT
bracis-28387	275	1	118–132	118–132	NUM
bracis-28387	275	2	.	.	PUNCT
bracis-28387	276	1	springer	springer	NOUN
bracis-28387	276	2	,	,	PUNCT
bracis-28387	276	3	cham	cham	PROPN
bracis-28387	276	4	(	(	PUNCT
bracis-28387	276	5	2021	2021	NUM
bracis-28387	276	6	)	)	PUNCT
bracis-28387	276	7	.	.	PUNCT
bracis-28387	277	1	https://doi.org/10.1007/978-3-030-72087-2_11	https://doi.org/10.1007/978-3-030-72087-2_11	PROPN
bracis-28387	277	2	chapter	chapter	NOUN
bracis-28387	277	3	  	  	SPACE
bracis-28387	277	4	google	google	PROPN
bracis-28387	277	5	scholar	scholar	NOUN
bracis-28387	277	6	  	  	SPACE
bracis-28387	277	7	isensee	isensee	NOUN
bracis-28387	277	8	,	,	PUNCT
bracis-28387	277	9	f.	f.	PROPN
bracis-28387	277	10	,	,	PUNCT
bracis-28387	277	11	et	et	PROPN
bracis-28387	277	12	al	al	PROPN
bracis-28387	277	13	.	.	PROPN
bracis-28387	277	14	:	:	PUNCT
bracis-28387	277	15	automated	automate	VERB
bracis-28387	277	16	brain	brain	NOUN
bracis-28387	277	17	extraction	extraction	NOUN
bracis-28387	277	18	of	of	ADP
bracis-28387	277	19	multisequence	multisequence	NOUN
bracis-28387	277	20	mri	mri	NOUN
bracis-28387	277	21	using	use	VERB
bracis-28387	277	22	artificial	artificial	ADJ
bracis-28387	277	23	neural	neural	ADJ
bracis-28387	277	24	networks	network	NOUN
bracis-28387	277	25	.	.	PUNCT
bracis-28387	278	1	hum	hum	ADJ
bracis-28387	278	2	.	.	PUNCT
bracis-28387	279	1	brain	brain	PROPN
bracis-28387	279	2	mapp	mapp	PROPN
bracis-28387	279	3	.	.	PUNCT
bracis-28387	280	1	40(17	40(17	NUM
bracis-28387	280	2	)	)	PUNCT
bracis-28387	280	3	,	,	PUNCT
bracis-28387	280	4	4952–4964	4952–4964	NUM
bracis-28387	280	5	(	(	PUNCT
bracis-28387	280	6	2019	2019	NUM
bracis-28387	280	7	)	)	PUNCT
bracis-28387	280	8	.	.	PUNCT
bracis-28387	281	1	https://doi.org/10.1002/hbm.24750	https://doi.org/10.1002/hbm.24750	PROPN
bracis-28387	281	2	article	article	PROPN
bracis-28387	281	3	  	  	SPACE
bracis-28387	281	4	google	google	PROPN
bracis-28387	281	5	scholar	scholar	NOUN
bracis-28387	281	6	  	  	SPACE
bracis-28387	281	7	jonsson	jonsson	PROPN
bracis-28387	281	8	,	,	PUNCT
bracis-28387	281	9	b.a	b.a	PROPN
bracis-28387	281	10	.	.	PROPN
bracis-28387	281	11	,	,	PUNCT
bracis-28387	281	12	et	et	PROPN
bracis-28387	281	13	al	al	PROPN
bracis-28387	281	14	.	.	PROPN
bracis-28387	281	15	:	:	PUNCT
bracis-28387	282	1	brain	brain	NOUN
bracis-28387	282	2	age	age	NOUN
bracis-28387	282	3	prediction	prediction	NOUN
bracis-28387	282	4	using	use	VERB
bracis-28387	282	5	deep	deep	ADJ
bracis-28387	282	6	learning	learn	VERB
bracis-28387	282	7	uncovers	uncover	NOUN
bracis-28387	282	8	associated	associate	VERB
bracis-28387	282	9	sequence	sequence	NOUN
bracis-28387	282	10	variants	variant	NOUN
bracis-28387	282	11	.	.	PUNCT
bracis-28387	283	1	nat	nat	PROPN
bracis-28387	283	2	.	.	PUNCT
bracis-28387	284	1	commun	commun	PROPN
bracis-28387	284	2	.	.	PUNCT
bracis-28387	285	1	10(1	10(1	NUM
bracis-28387	285	2	)	)	PUNCT
bracis-28387	285	3	,	,	PUNCT
bracis-28387	285	4	5409	5409	NUM
bracis-28387	285	5	(	(	PUNCT
bracis-28387	285	6	2019	2019	NUM
bracis-28387	285	7	)	)	PUNCT
bracis-28387	285	8	.	.	PUNCT
bracis-28387	286	1	https://doi.org/10.1038/s41467-019-13163-9	https://doi.org/10.1038/s41467-019-13163-9	NUM
bracis-28387	286	2	article	article	NOUN
bracis-28387	286	3	  	  	SPACE
bracis-28387	286	4	google	google	PROPN
bracis-28387	286	5	scholar	scholar	NOUN
bracis-28387	286	6	  	  	SPACE
bracis-28387	286	7	kondo	kondo	PROPN
bracis-28387	286	8	,	,	PUNCT
bracis-28387	286	9	c.	c.	PROPN
bracis-28387	286	10	,	,	PUNCT
bracis-28387	286	11	et	et	PROPN
bracis-28387	286	12	al	al	PROPN
bracis-28387	286	13	.	.	PROPN
bracis-28387	286	14	:	:	PUNCT
bracis-28387	286	15	an	an	DET
bracis-28387	286	16	age	age	NOUN
bracis-28387	286	17	estimation	estimation	NOUN
bracis-28387	286	18	method	method	NOUN
bracis-28387	286	19	using	use	VERB
bracis-28387	286	20	brain	brain	NOUN
bracis-28387	286	21	local	local	ADJ
bracis-28387	286	22	features	feature	NOUN
bracis-28387	286	23	for	for	ADP
bracis-28387	286	24	t1	t1	NOUN
bracis-28387	286	25	-	-	PUNCT
bracis-28387	286	26	weighted	weight	VERB
bracis-28387	286	27	images	image	NOUN
bracis-28387	286	28	.	.	PUNCT
bracis-28387	287	1	in	in	ADP
bracis-28387	287	2	:	:	PUNCT
bracis-28387	287	3	2015	2015	NUM
bracis-28387	287	4	37th	37th	ADJ
bracis-28387	287	5	annual	annual	ADJ
bracis-28387	287	6	international	international	ADJ
bracis-28387	287	7	conference	conference	NOUN
bracis-28387	287	8	of	of	ADP
bracis-28387	287	9	the	the	DET
bracis-28387	287	10	ieee	ieee	NOUN
bracis-28387	287	11	engineering	engineering	NOUN
bracis-28387	287	12	in	in	ADP
bracis-28387	287	13	medicine	medicine	NOUN
bracis-28387	287	14	and	and	CCONJ
bracis-28387	287	15	biology	biology	NOUN
bracis-28387	287	16	society	society	NOUN
bracis-28387	287	17	(	(	PUNCT
bracis-28387	287	18	embc	embc	PROPN
bracis-28387	287	19	)	)	PUNCT
bracis-28387	287	20	,	,	PUNCT
bracis-28387	287	21	milan	milan	PROPN
bracis-28387	287	22	,	,	PUNCT
bracis-28387	287	23	pp	pp	X
bracis-28387	287	24	.	.	PUNCT
bracis-28387	288	1	666–669	666–669	X
bracis-28387	288	2	.	.	PUNCT
bracis-28387	289	1	ieee	ieee	NOUN
bracis-28387	289	2	(	(	PUNCT
bracis-28387	289	3	2015	2015	NUM
bracis-28387	289	4	)	)	PUNCT
bracis-28387	289	5	.	.	PUNCT
bracis-28387	290	1	https://doi.org/10.1109/embc.2015.7318450	https://doi.org/10.1109/embc.2015.7318450	PROPN
bracis-28387	290	2	lam	lam	PROPN
bracis-28387	290	3	,	,	PUNCT
bracis-28387	290	4	p.	p.	PROPN
bracis-28387	290	5	,	,	PUNCT
bracis-28387	290	6	zhu	zhu	PROPN
bracis-28387	290	7	,	,	PUNCT
bracis-28387	290	8	a.h	a.h	PROPN
bracis-28387	290	9	.	.	PROPN
bracis-28387	290	10	,	,	PUNCT
bracis-28387	290	11	gari	gari	PROPN
bracis-28387	290	12	,	,	PUNCT
bracis-28387	290	13	i.b	i.b	PROPN
bracis-28387	290	14	.	.	PROPN
bracis-28387	290	15	,	,	PUNCT
bracis-28387	290	16	jahanshad	jahanshad	PROPN
bracis-28387	290	17	,	,	PUNCT
bracis-28387	290	18	n.	n.	NOUN
bracis-28387	290	19	,	,	PUNCT
bracis-28387	290	20	thompson	thompson	PROPN
bracis-28387	290	21	,	,	PUNCT
bracis-28387	290	22	p.m.	p.m.	ADV
bracis-28387	290	23	:	:	PUNCT
bracis-28387	290	24	3d	3d	NUM
bracis-28387	290	25	grid	grid	NOUN
bracis-28387	290	26	-	-	PUNCT
bracis-28387	290	27	attention	attention	NOUN
bracis-28387	290	28	networks	network	NOUN
bracis-28387	290	29	for	for	ADP
bracis-28387	290	30	interpretable	interpretable	ADJ
bracis-28387	290	31	age	age	NOUN
bracis-28387	290	32	and	and	CCONJ
bracis-28387	290	33	alzheimer	alzheimer	PROPN
bracis-28387	290	34	’s	’s	PART
bracis-28387	290	35	disease	disease	NOUN
bracis-28387	290	36	prediction	prediction	NOUN
bracis-28387	290	37	from	from	ADP
bracis-28387	290	38	structural	structural	ADJ
bracis-28387	290	39	mri	mri	NOUN
bracis-28387	290	40	(	(	PUNCT
bracis-28387	290	41	2020	2020	NUM
bracis-28387	290	42	)	)	PUNCT
bracis-28387	290	43	google	google	PROPN
bracis-28387	290	44	scholar	scholar	NOUN
bracis-28387	290	45	  	  	SPACE
bracis-28387	290	46	lee	lee	PROPN
bracis-28387	290	47	,	,	PUNCT
bracis-28387	290	48	j.	j.	PROPN
bracis-28387	290	49	,	,	PUNCT
bracis-28387	290	50	et	et	PROPN
bracis-28387	290	51	al	al	PROPN
bracis-28387	290	52	.	.	PUNCT
bracis-28387	290	53	:	:	PUNCT
bracis-28387	291	1	deep	deep	ADJ
bracis-28387	291	2	learning	learning	NOUN
bracis-28387	291	3	-	-	PUNCT
bracis-28387	291	4	based	base	VERB
bracis-28387	291	5	brain	brain	NOUN
bracis-28387	291	6	age	age	NOUN
bracis-28387	291	7	prediction	prediction	NOUN
bracis-28387	291	8	in	in	ADP
bracis-28387	291	9	normal	normal	ADJ
bracis-28387	291	10	aging	aging	NOUN
bracis-28387	291	11	and	and	CCONJ
bracis-28387	291	12	dementia	dementia	NOUN
bracis-28387	291	13	.	.	PUNCT
bracis-28387	292	1	nat	nat	NOUN
bracis-28387	292	2	.	.	PUNCT
bracis-28387	293	1	aging	age	VERB
bracis-28387	293	2	2(5	2(5	NOUN
bracis-28387	293	3	)	)	PUNCT
bracis-28387	293	4	,	,	PUNCT
bracis-28387	293	5	412–424	412–424	NUM
bracis-28387	293	6	(	(	PUNCT
bracis-28387	293	7	2022	2022	NUM
bracis-28387	293	8	)	)	PUNCT
bracis-28387	293	9	.	.	PUNCT
bracis-28387	294	1	https://doi.org/10.1038/s43587-022-00219-7	https://doi.org/10.1038/s43587-022-00219-7	PROPN
bracis-28387	294	2	article	article	PROPN
bracis-28387	294	3	  	  	SPACE
bracis-28387	294	4	google	google	PROPN
bracis-28387	294	5	scholar	scholar	NOUN
bracis-28387	294	6	  	  	SPACE
bracis-28387	294	7	liem	liem	PROPN
bracis-28387	294	8	,	,	PUNCT
bracis-28387	294	9	f.	f.	PROPN
bracis-28387	294	10	,	,	PUNCT
bracis-28387	294	11	et	et	PROPN
bracis-28387	294	12	al	al	PROPN
bracis-28387	294	13	.	.	PROPN
bracis-28387	294	14	:	:	PUNCT
bracis-28387	294	15	predicting	predict	VERB
bracis-28387	294	16	brain	brain	NOUN
bracis-28387	294	17	-	-	PUNCT
bracis-28387	294	18	age	age	NOUN
bracis-28387	294	19	from	from	ADP
bracis-28387	294	20	multimodal	multimodal	ADJ
bracis-28387	294	21	imaging	imaging	NOUN
bracis-28387	294	22	data	datum	NOUN
bracis-28387	294	23	captures	capture	VERB
bracis-28387	294	24	cognitive	cognitive	ADJ
bracis-28387	294	25	impairment	impairment	NOUN
bracis-28387	294	26	.	.	PUNCT
bracis-28387	295	1	neuroimage	neuroimage	NOUN
bracis-28387	295	2	148	148	NUM
bracis-28387	295	3	,	,	PUNCT
bracis-28387	295	4	179–188	179–188	NUM
bracis-28387	295	5	(	(	PUNCT
bracis-28387	295	6	2017	2017	NUM
bracis-28387	295	7	)	)	PUNCT
bracis-28387	295	8	.	.	PUNCT
bracis-28387	296	1	https://doi.org/10.1016/j.neuroimage.2016.11.005	https://doi.org/10.1016/j.neuroimage.2016.11.005	PROPN
bracis-28387	296	2	article	article	NOUN
bracis-28387	296	3	  	  	SPACE
bracis-28387	296	4	google	google	PROPN
bracis-28387	296	5	scholar	scholar	NOUN
bracis-28387	296	6	  	  	SPACE
bracis-28387	296	7	ly	ly	NOUN
bracis-28387	296	8	,	,	PUNCT
bracis-28387	296	9	m.	m.	NOUN
bracis-28387	296	10	,	,	PUNCT
bracis-28387	296	11	et	et	PROPN
bracis-28387	296	12	al	al	PROPN
bracis-28387	296	13	.	.	PROPN
bracis-28387	296	14	:	:	PUNCT
bracis-28387	297	1	improving	improve	VERB
bracis-28387	297	2	brain	brain	NOUN
bracis-28387	297	3	age	age	NOUN
bracis-28387	297	4	prediction	prediction	NOUN
bracis-28387	297	5	models	model	NOUN
bracis-28387	297	6	:	:	PUNCT
bracis-28387	297	7	incorporation	incorporation	NOUN
bracis-28387	297	8	of	of	ADP
bracis-28387	297	9	amyloid	amyloid	NOUN
bracis-28387	297	10	status	status	NOUN
bracis-28387	297	11	in	in	ADP
bracis-28387	297	12	alzheimer	alzheimer	PROPN
bracis-28387	297	13	’s	’s	PART
bracis-28387	297	14	disease	disease	NOUN
bracis-28387	297	15	.	.	PUNCT
bracis-28387	298	1	neurobiol	neurobiol	NOUN
bracis-28387	298	2	.	.	PUNCT
bracis-28387	299	1	aging	age	VERB
bracis-28387	299	2	87	87	NUM
bracis-28387	299	3	,	,	PUNCT
bracis-28387	299	4	44–48	44–48	PROPN
bracis-28387	299	5	(	(	PUNCT
bracis-28387	299	6	2020	2020	NUM
bracis-28387	299	7	)	)	PUNCT
bracis-28387	299	8	.	.	PUNCT
bracis-28387	300	1	https://doi.org/10.1016/j.neurobiolaging.2019.11.005	https://doi.org/10.1016/j.neurobiolaging.2019.11.005	PROPN
bracis-28387	300	2	article	article	NOUN
bracis-28387	300	3	  	  	SPACE
bracis-28387	300	4	google	google	PROPN
bracis-28387	300	5	scholar	scholar	NOUN
bracis-28387	300	6	  	  	SPACE
bracis-28387	300	7	mann	mann	PROPN
bracis-28387	300	8	,	,	PUNCT
bracis-28387	300	9	h.b	h.b	PROPN
bracis-28387	300	10	.	.	PROPN
bracis-28387	300	11	,	,	PUNCT
bracis-28387	300	12	whitney	whitney	PROPN
bracis-28387	300	13	,	,	PUNCT
bracis-28387	300	14	d.r	d.r	PROPN
bracis-28387	300	15	.	.	PROPN
bracis-28387	300	16	:	:	PUNCT
bracis-28387	300	17	on	on	ADP
bracis-28387	300	18	a	a	DET
bracis-28387	300	19	test	test	NOUN
bracis-28387	300	20	of	of	ADP
bracis-28387	300	21	whether	whether	SCONJ
bracis-28387	300	22	one	one	NUM
bracis-28387	300	23	of	of	ADP
bracis-28387	300	24	two	two	NUM
bracis-28387	300	25	random	random	ADJ
bracis-28387	300	26	variables	variable	NOUN
bracis-28387	300	27	is	be	AUX
bracis-28387	300	28	stochastically	stochastically	ADV
bracis-28387	300	29	larger	large	ADJ
bracis-28387	300	30	than	than	ADP
bracis-28387	300	31	the	the	DET
bracis-28387	300	32	other	other	ADJ
bracis-28387	300	33	.	.	PUNCT
bracis-28387	301	1	ann	ann	PROPN
bracis-28387	301	2	.	.	PUNCT
bracis-28387	301	3	math	math	PROPN
bracis-28387	301	4	.	.	PUNCT
bracis-28387	302	1	stat	stat	PROPN
bracis-28387	302	2	.	.	PUNCT
bracis-28387	303	1	18(1	18(1	NOUN
bracis-28387	303	2	)	)	PUNCT
bracis-28387	303	3	,	,	PUNCT
bracis-28387	303	4	50–60	50–60	INTJ
bracis-28387	303	5	(	(	PUNCT
bracis-28387	303	6	1947	1947	NUM
bracis-28387	303	7	)	)	PUNCT
bracis-28387	303	8	.	.	PUNCT
bracis-28387	304	1	https://doi.org/10.1214/aoms/1177730491	https://doi.org/10.1214/aoms/1177730491	PROPN
bracis-28387	304	2	article	article	NOUN
bracis-28387	304	3	  	  	SPACE
bracis-28387	304	4	mathscinet	mathscinet	NOUN
bracis-28387	304	5	  	  	SPACE
bracis-28387	304	6	math	math	NOUN
bracis-28387	304	7	  	  	SPACE
bracis-28387	304	8	google	google	PROPN
bracis-28387	304	9	scholar	scholar	NOUN
bracis-28387	304	10	  	  	SPACE
bracis-28387	304	11	marcel	marcel	PROPN
bracis-28387	304	12	,	,	PUNCT
bracis-28387	304	13	s.	s.	PROPN
bracis-28387	304	14	,	,	PUNCT
bracis-28387	304	15	rodriguez	rodriguez	PROPN
bracis-28387	304	16	,	,	PUNCT
bracis-28387	304	17	y.	y.	NOUN
bracis-28387	304	18	:	:	PUNCT
bracis-28387	304	19	torchvision	torchvision	NOUN
bracis-28387	304	20	the	the	DET
bracis-28387	304	21	machine	machine	NOUN
bracis-28387	304	22	-	-	PUNCT
bracis-28387	304	23	vision	vision	NOUN
bracis-28387	304	24	package	package	NOUN
bracis-28387	304	25	of	of	ADP
bracis-28387	304	26	torch	torch	NOUN
bracis-28387	304	27	.	.	PUNCT
bracis-28387	305	1	in	in	ADP
bracis-28387	305	2	:	:	PUNCT
bracis-28387	305	3	proceedings	proceeding	NOUN
bracis-28387	305	4	of	of	ADP
bracis-28387	305	5	the	the	DET
bracis-28387	305	6	18th	18th	ADJ
bracis-28387	305	7	acm	acm	PROPN
bracis-28387	305	8	international	international	ADJ
bracis-28387	305	9	conference	conference	NOUN
bracis-28387	305	10	on	on	ADP
bracis-28387	305	11	multimedia	multimedia	PROPN
bracis-28387	305	12	,	,	PUNCT
bracis-28387	305	13	firenze	firenze	PROPN
bracis-28387	305	14	,	,	PUNCT
bracis-28387	305	15	italy	italy	PROPN
bracis-28387	305	16	,	,	PUNCT
bracis-28387	305	17	pp	pp	X
bracis-28387	305	18	.	.	PUNCT
bracis-28387	306	1	1485–1488	1485–1488	NUM
bracis-28387	306	2	.	.	PUNCT
bracis-28387	306	3	acm	acm	PROPN
bracis-28387	306	4	(	(	PUNCT
bracis-28387	306	5	2010	2010	NUM
bracis-28387	306	6	)	)	PUNCT
bracis-28387	306	7	.	.	PUNCT
bracis-28387	307	1	https://doi.org/10.1145/1873951.1874254	https://doi.org/10.1145/1873951.1874254	NOUN
bracis-28387	307	2	menze	menze	PROPN
bracis-28387	307	3	,	,	PUNCT
bracis-28387	307	4	b.h	b.h	PROPN
bracis-28387	307	5	.	.	PROPN
bracis-28387	307	6	,	,	PUNCT
bracis-28387	307	7	et	et	PROPN
bracis-28387	307	8	al	al	PROPN
bracis-28387	307	9	.	.	PROPN
bracis-28387	307	10	:	:	PUNCT
bracis-28387	308	1	the	the	DET
bracis-28387	308	2	multimodal	multimodal	ADJ
bracis-28387	308	3	brain	brain	NOUN
bracis-28387	308	4	tumor	tumor	NOUN
bracis-28387	308	5	image	image	NOUN
bracis-28387	308	6	segmentation	segmentation	NOUN
bracis-28387	308	7	benchmark	benchmark	NOUN
bracis-28387	308	8	(	(	PUNCT
bracis-28387	308	9	brats	brat	NOUN
bracis-28387	308	10	)	)	PUNCT
bracis-28387	308	11	.	.	PUNCT
bracis-28387	309	1	ieee	ieee	PROPN
bracis-28387	309	2	trans	trans	PROPN
bracis-28387	309	3	.	.	PROPN
bracis-28387	309	4	med	med	PROPN
bracis-28387	309	5	.	.	PUNCT
bracis-28387	310	1	imaging	imaging	PROPN
bracis-28387	310	2	34(10	34(10	PROPN
bracis-28387	310	3	)	)	PUNCT
bracis-28387	310	4	,	,	PUNCT
bracis-28387	310	5	1993–2024	1993–2024	NUM
bracis-28387	310	6	(	(	PUNCT
bracis-28387	310	7	2015	2015	NUM
bracis-28387	310	8	)	)	PUNCT
bracis-28387	310	9	.	.	PUNCT
bracis-28387	311	1	https://doi.org/10.1109/tmi.2014.2377694	https://doi.org/10.1109/tmi.2014.2377694	PROPN
bracis-28387	311	2	article	article	PROPN
bracis-28387	311	3	  	  	SPACE
bracis-28387	311	4	google	google	PROPN
bracis-28387	311	5	scholar	scholar	NOUN
bracis-28387	311	6	  	  	SPACE
bracis-28387	311	7	more	more	ADJ
bracis-28387	311	8	,	,	PUNCT
bracis-28387	311	9	s.	s.	PROPN
bracis-28387	311	10	,	,	PUNCT
bracis-28387	311	11	antonopoulos	antonopoulo	NOUN
bracis-28387	311	12	,	,	PUNCT
bracis-28387	311	13	g.	g.	PROPN
bracis-28387	311	14	,	,	PUNCT
bracis-28387	311	15	hoffstaedter	hoffstaedter	PROPN
bracis-28387	311	16	,	,	PUNCT
bracis-28387	311	17	f.	f.	PROPN
bracis-28387	311	18	,	,	PUNCT
bracis-28387	311	19	caspers	caspers	PROPN
bracis-28387	311	20	,	,	PUNCT
bracis-28387	311	21	j.	j.	PROPN
bracis-28387	311	22	,	,	PUNCT
bracis-28387	311	23	eickhoff	eickhoff	NOUN
bracis-28387	311	24	,	,	PUNCT
bracis-28387	311	25	s.b	s.b	PROPN
bracis-28387	311	26	.	.	PROPN
bracis-28387	311	27	,	,	PUNCT
bracis-28387	311	28	patil	patil	PROPN
bracis-28387	311	29	,	,	PUNCT
bracis-28387	311	30	k.r	k.r	PROPN
bracis-28387	311	31	.	.	PROPN
bracis-28387	311	32	:	:	PUNCT
bracis-28387	311	33	brain	brain	NOUN
bracis-28387	311	34	-	-	PUNCT
bracis-28387	311	35	age	age	NOUN
bracis-28387	311	36	prediction	prediction	NOUN
bracis-28387	311	37	:	:	PUNCT
bracis-28387	311	38	a	a	DET
bracis-28387	311	39	systematic	systematic	ADJ
bracis-28387	311	40	comparison	comparison	NOUN
bracis-28387	311	41	of	of	ADP
bracis-28387	311	42	machine	machine	NOUN
bracis-28387	311	43	learning	learn	VERB
bracis-28387	311	44	workflows	workflow	NOUN
bracis-28387	311	45	.	.	PUNCT
bracis-28387	312	1	neuroimage	neuroimage	NOUN
bracis-28387	312	2	270	270	NUM
bracis-28387	312	3	,	,	PUNCT
bracis-28387	312	4	119947	119947	NUM
bracis-28387	312	5	(	(	PUNCT
bracis-28387	312	6	2023	2023	NUM
bracis-28387	312	7	)	)	PUNCT
bracis-28387	312	8	.	.	PUNCT
bracis-28387	313	1	https://doi.org/10.1016/j.neuroimage.2023.119947	https://doi.org/10.1016/j.neuroimage.2023.119947	PROPN
bracis-28387	313	2	article	article	PROPN
bracis-28387	313	3	  	  	SPACE
bracis-28387	313	4	google	google	PROPN
bracis-28387	313	5	scholar	scholar	NOUN
bracis-28387	313	6	  	  	SPACE
bracis-28387	313	7	peng	peng	PROPN
bracis-28387	313	8	,	,	PUNCT
bracis-28387	313	9	h.	h.	PROPN
bracis-28387	313	10	,	,	PUNCT
bracis-28387	313	11	gong	gong	PROPN
bracis-28387	313	12	,	,	PUNCT
bracis-28387	313	13	w.	w.	PROPN
bracis-28387	313	14	,	,	PUNCT
bracis-28387	313	15	beckmann	beckmann	PROPN
bracis-28387	313	16	,	,	PUNCT
bracis-28387	313	17	c.f	c.f	PROPN
bracis-28387	313	18	.	.	PROPN
bracis-28387	313	19	,	,	PUNCT
bracis-28387	313	20	vedaldi	vedaldi	PROPN
bracis-28387	313	21	,	,	PUNCT
bracis-28387	313	22	a.	a.	PROPN
bracis-28387	313	23	,	,	PUNCT
bracis-28387	313	24	smith	smith	PROPN
bracis-28387	313	25	,	,	PUNCT
bracis-28387	313	26	s.m	s.m	PROPN
bracis-28387	313	27	.	.	PROPN
bracis-28387	313	28	:	:	PUNCT
bracis-28387	313	29	accurate	accurate	ADJ
bracis-28387	313	30	brain	brain	NOUN
bracis-28387	313	31	age	age	NOUN
bracis-28387	313	32	prediction	prediction	NOUN
bracis-28387	313	33	with	with	ADP
bracis-28387	313	34	lightweight	lightweight	ADJ
bracis-28387	313	35	deep	deep	ADJ
bracis-28387	313	36	neural	neural	ADJ
bracis-28387	313	37	networks	network	NOUN
bracis-28387	313	38	.	.	PUNCT
bracis-28387	314	1	med	med	PROPN
bracis-28387	314	2	.	.	PUNCT
bracis-28387	314	3	image	image	PROPN
bracis-28387	314	4	anal	anal	PROPN
bracis-28387	314	5	.	.	PUNCT
bracis-28387	315	1	68	68	NUM
bracis-28387	315	2	,	,	PUNCT
bracis-28387	315	3	101871	101871	NUM
bracis-28387	315	4	(	(	PUNCT
bracis-28387	315	5	2021	2021	NUM
bracis-28387	315	6	)	)	PUNCT
bracis-28387	315	7	.	.	PUNCT
bracis-28387	316	1	https://doi.org/10.1016/j.media.2020.101871	https://doi.org/10.1016/j.media.2020.101871	PROPN
bracis-28387	316	2	article	article	PROPN
bracis-28387	316	3	  	  	SPACE
bracis-28387	316	4	google	google	PROPN
bracis-28387	316	5	scholar	scholar	NOUN
bracis-28387	316	6	  	  	SPACE
bracis-28387	316	7	petersen	petersen	PROPN
bracis-28387	316	8	,	,	PUNCT
bracis-28387	316	9	r.c	r.c	PROPN
bracis-28387	316	10	.	.	PROPN
bracis-28387	316	11	,	,	PUNCT
bracis-28387	316	12	et	et	PROPN
bracis-28387	316	13	al	al	PROPN
bracis-28387	316	14	.	.	PROPN
bracis-28387	316	15	:	:	PUNCT
bracis-28387	317	1	alzheimer	alzheimer	PROPN
bracis-28387	317	2	’s	’s	PART
bracis-28387	317	3	disease	disease	NOUN
bracis-28387	317	4	neuroimaging	neuroimaging	NOUN
bracis-28387	317	5	initiative	initiative	NOUN
bracis-28387	317	6	(	(	PUNCT
bracis-28387	317	7	adni	adni	ADV
bracis-28387	317	8	):	):	PUNCT
bracis-28387	317	9	clinical	clinical	ADJ
bracis-28387	317	10	characterization	characterization	NOUN
bracis-28387	317	11	.	.	PUNCT
bracis-28387	318	1	neurology	neurology	NOUN
bracis-28387	318	2	74(3	74(3	NOUN
bracis-28387	318	3	)	)	PUNCT
bracis-28387	318	4	,	,	PUNCT
bracis-28387	319	1	201–209	201–209	NUM
bracis-28387	319	2	(	(	PUNCT
bracis-28387	319	3	2010	2010	NUM
bracis-28387	319	4	)	)	PUNCT
bracis-28387	319	5	.	.	PUNCT
bracis-28387	320	1	https://doi.org/10.1212/wnl.0b013e3181cb3e25	https://doi.org/10.1212/wnl.0b013e3181cb3e25	PROPN
bracis-28387	320	2	article	article	PROPN
bracis-28387	320	3	  	  	SPACE
bracis-28387	320	4	google	google	PROPN
bracis-28387	320	5	scholar	scholar	NOUN
bracis-28387	320	6	  	  	SPACE
bracis-28387	320	7	poloni	poloni	NOUN
bracis-28387	320	8	,	,	PUNCT
bracis-28387	320	9	k.m	k.m	PROPN
bracis-28387	320	10	.	.	PROPN
bracis-28387	320	11	,	,	PUNCT
bracis-28387	320	12	ferrari	ferrari	PROPN
bracis-28387	320	13	,	,	PUNCT
bracis-28387	320	14	r.j	r.j	PROPN
bracis-28387	320	15	.	.	PROPN
bracis-28387	320	16	:	:	PUNCT
bracis-28387	321	1	a	a	DET
bracis-28387	321	2	deep	deep	ADJ
bracis-28387	321	3	ensemble	ensemble	ADJ
bracis-28387	321	4	hippocampal	hippocampal	PROPN
bracis-28387	321	5	cnn	cnn	PROPN
bracis-28387	321	6	model	model	NOUN
bracis-28387	321	7	for	for	ADP
bracis-28387	321	8	brain	brain	NOUN
bracis-28387	321	9	age	age	NOUN
bracis-28387	321	10	estimation	estimation	NOUN
bracis-28387	321	11	applied	apply	VERB
bracis-28387	321	12	to	to	ADP
bracis-28387	321	13	alzheimer	alzheimer	PROPN
bracis-28387	321	14	’s	’s	PART
bracis-28387	321	15	diagnosis	diagnosis	NOUN
bracis-28387	321	16	.	.	PUNCT
bracis-28387	322	1	expert	expert	NOUN
bracis-28387	322	2	syst	syst	PROPN
bracis-28387	322	3	.	.	PUNCT
bracis-28387	323	1	appl	appl	PROPN
bracis-28387	323	2	.	.	PROPN
bracis-28387	324	1	195	195	NUM
bracis-28387	324	2	,	,	PUNCT
bracis-28387	324	3	116622	116622	NUM
bracis-28387	324	4	(	(	PUNCT
bracis-28387	324	5	2022	2022	NUM
bracis-28387	324	6	)	)	PUNCT
bracis-28387	324	7	.	.	PUNCT
bracis-28387	325	1	https://doi.org/10.1016/j.eswa.2022.116622	https://doi.org/10.1016/j.eswa.2022.116622	PROPN
bracis-28387	325	2	article	article	NOUN
bracis-28387	325	3	  	  	SPACE
bracis-28387	325	4	google	google	PROPN
bracis-28387	325	5	scholar	scholar	NOUN
bracis-28387	325	6	  	  	SPACE
bracis-28387	325	7	popescu	popescu	NOUN
bracis-28387	325	8	,	,	PUNCT
bracis-28387	325	9	s.g	s.g	PROPN
bracis-28387	325	10	.	.	PROPN
bracis-28387	325	11	,	,	PUNCT
bracis-28387	325	12	glocker	glocker	PROPN
bracis-28387	325	13	,	,	PUNCT
bracis-28387	325	14	b.	b.	PROPN
bracis-28387	325	15	,	,	PUNCT
bracis-28387	325	16	sharp	sharp	ADJ
bracis-28387	325	17	,	,	PUNCT
bracis-28387	325	18	d.j	d.j	PROPN
bracis-28387	325	19	.	.	PROPN
bracis-28387	325	20	,	,	PUNCT
bracis-28387	325	21	cole	cole	PROPN
bracis-28387	325	22	,	,	PUNCT
bracis-28387	325	23	j.h	j.h	PROPN
bracis-28387	325	24	.	.	PROPN
bracis-28387	325	25	:	:	PUNCT
bracis-28387	325	26	local	local	ADJ
bracis-28387	325	27	brain	brain	NOUN
bracis-28387	325	28	-	-	PUNCT
bracis-28387	325	29	age	age	NOUN
bracis-28387	325	30	:	:	PUNCT
bracis-28387	325	31	a	a	DET
bracis-28387	325	32	u	u	ADJ
bracis-28387	325	33	-	-	ADJ
bracis-28387	325	34	net	net	ADJ
bracis-28387	325	35	model	model	NOUN
bracis-28387	325	36	.	.	PUNCT
bracis-28387	326	1	front	front	ADJ
bracis-28387	326	2	.	.	PUNCT
bracis-28387	327	1	aging	age	VERB
bracis-28387	327	2	neurosci	neurosci	NOUN
bracis-28387	327	3	.	.	PUNCT
bracis-28387	328	1	13	13	NUM
bracis-28387	328	2	,	,	PUNCT
bracis-28387	328	3	761954	761954	NUM
bracis-28387	328	4	(	(	PUNCT
bracis-28387	328	5	2021	2021	NUM
bracis-28387	328	6	)	)	PUNCT
bracis-28387	328	7	.	.	PUNCT
bracis-28387	329	1	https://doi.org/10.3389/fnagi.2021.761954	https://doi.org/10.3389/fnagi.2021.761954	PROPN
bracis-28387	329	2	article	article	NOUN
bracis-28387	329	3	  	  	SPACE
bracis-28387	329	4	google	google	PROPN
bracis-28387	329	5	scholar	scholar	NOUN
bracis-28387	329	6	  	  	SPACE
bracis-28387	329	7	raghu	raghu	NOUN
bracis-28387	329	8	,	,	PUNCT
bracis-28387	329	9	m.	m.	NOUN
bracis-28387	329	10	,	,	PUNCT
bracis-28387	329	11	zhang	zhang	PROPN
bracis-28387	329	12	,	,	PUNCT
bracis-28387	329	13	c.	c.	PROPN
bracis-28387	329	14	,	,	PUNCT
bracis-28387	329	15	kleinberg	kleinberg	PROPN
bracis-28387	329	16	,	,	PUNCT
bracis-28387	329	17	j.	j.	PROPN
bracis-28387	329	18	,	,	PUNCT
bracis-28387	329	19	bengio	bengio	PROPN
bracis-28387	329	20	,	,	PUNCT
bracis-28387	329	21	s.	s.	PROPN
bracis-28387	329	22	:	:	PUNCT
bracis-28387	329	23	transfusion	transfusion	NOUN
bracis-28387	329	24	:	:	PUNCT
bracis-28387	329	25	understanding	understand	VERB
bracis-28387	329	26	transfer	transfer	NOUN
bracis-28387	329	27	learning	learning	NOUN
bracis-28387	329	28	for	for	ADP
bracis-28387	329	29	medical	medical	ADJ
bracis-28387	329	30	imaging	imaging	NOUN
bracis-28387	329	31	.	.	PUNCT
bracis-28387	330	1	curran	curran	PROPN
bracis-28387	330	2	associates	associates	PROPN
bracis-28387	330	3	inc	inc	PROPN
bracis-28387	330	4	.	.	PROPN
bracis-28387	330	5	,	,	PUNCT
bracis-28387	330	6	red	red	ADJ
bracis-28387	330	7	hook	hook	NOUN
bracis-28387	330	8	(	(	PUNCT
bracis-28387	330	9	2019	2019	NUM
bracis-28387	330	10	)	)	PUNCT
bracis-28387	330	11	.	.	PUNCT
bracis-28387	331	1	https://dl.acm.org/doi/10.5555/3454287.3454588	https://dl.acm.org/doi/10.5555/3454287.3454588	NOUN
bracis-28387	331	2	ronneberger	ronneberger	NOUN
bracis-28387	331	3	,	,	PUNCT
bracis-28387	331	4	o.	o.	PROPN
bracis-28387	331	5	,	,	PUNCT
bracis-28387	331	6	fischer	fischer	PROPN
bracis-28387	331	7	,	,	PUNCT
bracis-28387	331	8	p.	p.	PROPN
bracis-28387	331	9	,	,	PUNCT
bracis-28387	331	10	brox	brox	PROPN
bracis-28387	331	11	,	,	PUNCT
bracis-28387	331	12	t.	t.	PROPN
bracis-28387	331	13	:	:	PUNCT
bracis-28387	331	14	u	u	NOUN
bracis-28387	331	15	-	-	NOUN
bracis-28387	331	16	net	net	ADJ
bracis-28387	331	17	:	:	PUNCT
bracis-28387	331	18	convolutional	convolutional	ADJ
bracis-28387	331	19	networks	network	NOUN
bracis-28387	331	20	for	for	ADP
bracis-28387	331	21	biomedical	biomedical	ADJ
bracis-28387	331	22	image	image	NOUN
bracis-28387	331	23	segmentation	segmentation	NOUN
bracis-28387	331	24	.	.	PUNCT
bracis-28387	332	1	in	in	ADP
bracis-28387	332	2	:	:	PUNCT
bracis-28387	332	3	navab	navab	PROPN
bracis-28387	332	4	,	,	PUNCT
bracis-28387	332	5	n.	n.	NOUN
bracis-28387	332	6	,	,	PUNCT
bracis-28387	332	7	hornegger	hornegger	NOUN
bracis-28387	332	8	,	,	PUNCT
bracis-28387	332	9	j.	j.	PROPN
bracis-28387	332	10	,	,	PUNCT
bracis-28387	332	11	wells	wells	PROPN
bracis-28387	332	12	,	,	PUNCT
bracis-28387	332	13	w.m	w.m	PROPN
bracis-28387	332	14	.	.	PROPN
bracis-28387	332	15	,	,	PUNCT
bracis-28387	332	16	frangi	frangi	PROPN
bracis-28387	332	17	,	,	PUNCT
bracis-28387	332	18	a.f	a.f	PROPN
bracis-28387	332	19	.	.	PROPN
bracis-28387	332	20	(	(	PUNCT
bracis-28387	332	21	eds	ed	NOUN
bracis-28387	332	22	.	.	PUNCT
bracis-28387	332	23	)	)	PUNCT
bracis-28387	333	1	miccai	miccai	PROPN
bracis-28387	333	2	2015	2015	NUM
bracis-28387	333	3	.	.	PUNCT
bracis-28387	334	1	lncs	lncs	PROPN
bracis-28387	334	2	,	,	PUNCT
bracis-28387	334	3	vol	vol	NOUN
bracis-28387	334	4	.	.	PROPN
bracis-28387	334	5	9351	9351	NUM
bracis-28387	334	6	,	,	PUNCT
bracis-28387	334	7	pp	pp	ADV
bracis-28387	334	8	.	.	PUNCT
bracis-28387	335	1	234–241	234–241	NUM
bracis-28387	335	2	.	.	PUNCT
bracis-28387	335	3	springer	springer	NOUN
bracis-28387	335	4	,	,	PUNCT
bracis-28387	335	5	cham	cham	PROPN
bracis-28387	335	6	(	(	PUNCT
bracis-28387	335	7	2015	2015	NUM
bracis-28387	335	8	)	)	PUNCT
bracis-28387	335	9	.	.	PUNCT
bracis-28387	336	1	https://doi.org/10.1007/978-3-319-24574-4_28	https://doi.org/10.1007/978-3-319-24574-4_28	PROPN
bracis-28387	336	2	chapter	chapter	NOUN
bracis-28387	336	3	  	  	SPACE
bracis-28387	336	4	google	google	PROPN
bracis-28387	336	5	scholar	scholar	NOUN
bracis-28387	336	6	  	  	SPACE
bracis-28387	336	7	russakovsky	russakovsky	NOUN
bracis-28387	336	8	,	,	PUNCT
bracis-28387	336	9	o.	o.	PROPN
bracis-28387	336	10	,	,	PUNCT
bracis-28387	336	11	et	et	PROPN
bracis-28387	336	12	al	al	PROPN
bracis-28387	336	13	.	.	PUNCT
bracis-28387	336	14	:	:	PUNCT
bracis-28387	337	1	imagenet	imagenet	PROPN
bracis-28387	337	2	large	large	ADJ
bracis-28387	337	3	scale	scale	NOUN
bracis-28387	337	4	visual	visual	ADJ
bracis-28387	337	5	recognition	recognition	NOUN
bracis-28387	337	6	challenge	challenge	NOUN
bracis-28387	337	7	.	.	PUNCT
bracis-28387	338	1	int	int	NOUN
bracis-28387	338	2	.	.	PUNCT
bracis-28387	339	1	j.	j.	PROPN
bracis-28387	339	2	comput	comput	PROPN
bracis-28387	339	3	.	.	PUNCT
bracis-28387	340	1	vision	vision	NOUN
bracis-28387	340	2	115(3	115(3	NUM
bracis-28387	340	3	)	)	PUNCT
bracis-28387	340	4	,	,	PUNCT
bracis-28387	340	5	211–252	211–252	NUM
bracis-28387	340	6	(	(	PUNCT
bracis-28387	340	7	2015	2015	NUM
bracis-28387	340	8	)	)	PUNCT
bracis-28387	340	9	.	.	PUNCT
bracis-28387	341	1	https://doi.org/10.1007/s11263-015-0816-y	https://doi.org/10.1007/s11263-015-0816-y	NOUN
bracis-28387	341	2	article	article	NOUN
bracis-28387	341	3	  	  	SPACE
bracis-28387	341	4	mathscinet	mathscinet	ADJ
bracis-28387	341	5	  	  	SPACE
bracis-28387	341	6	google	google	PROPN
bracis-28387	341	7	scholar	scholar	NOUN
bracis-28387	341	8	  	  	SPACE
bracis-28387	341	9	wang	wang	PROPN
bracis-28387	341	10	,	,	PUNCT
bracis-28387	341	11	j.	j.	PROPN
bracis-28387	341	12	,	,	PUNCT
bracis-28387	341	13	li	li	PROPN
bracis-28387	341	14	,	,	PUNCT
bracis-28387	341	15	w.	w.	PROPN
bracis-28387	341	16	,	,	PUNCT
bracis-28387	341	17	miao	miao	PROPN
bracis-28387	341	18	,	,	PUNCT
bracis-28387	341	19	w.	w.	PROPN
bracis-28387	341	20	,	,	PUNCT
bracis-28387	341	21	dai	dai	PROPN
bracis-28387	341	22	,	,	PUNCT
bracis-28387	341	23	d.	d.	PROPN
bracis-28387	341	24	,	,	PUNCT
bracis-28387	341	25	hua	hua	PROPN
bracis-28387	341	26	,	,	PUNCT
bracis-28387	341	27	j.	j.	PROPN
bracis-28387	341	28	,	,	PUNCT
bracis-28387	341	29	he	he	PRON
bracis-28387	341	30	,	,	PUNCT
bracis-28387	341	31	h.	h.	PROPN
bracis-28387	341	32	:	:	PUNCT
bracis-28387	341	33	age	age	NOUN
bracis-28387	341	34	estimation	estimation	NOUN
bracis-28387	341	35	using	use	VERB
bracis-28387	341	36	cortical	cortical	ADJ
bracis-28387	341	37	surface	surface	NOUN
bracis-28387	341	38	pattern	pattern	NOUN
bracis-28387	341	39	combining	combine	VERB
bracis-28387	341	40	thickness	thickness	NOUN
bracis-28387	341	41	with	with	ADP
bracis-28387	341	42	curvatures	curvature	NOUN
bracis-28387	341	43	.	.	PUNCT
bracis-28387	342	1	med	med	ADJ
bracis-28387	342	2	.	.	PUNCT
bracis-28387	342	3	biol	biol	PROPN
bracis-28387	342	4	.	.	PUNCT
bracis-28387	343	1	eng	eng	PROPN
bracis-28387	343	2	.	.	PUNCT
bracis-28387	344	1	comput	comput	PROPN
bracis-28387	344	2	.	.	PUNCT
bracis-28387	345	1	52(4	52(4	NUM
bracis-28387	345	2	)	)	PUNCT
bracis-28387	345	3	,	,	PUNCT
bracis-28387	345	4	331–341	331–341	NUM
bracis-28387	345	5	(	(	PUNCT
bracis-28387	345	6	2014	2014	NUM
bracis-28387	345	7	)	)	PUNCT
bracis-28387	345	8	.	.	PUNCT
bracis-28387	346	1	https://doi.org/10.1007/s11517-013-1131-9	https://doi.org/10.1007/s11517-013-1131-9	NUM
bracis-28387	346	2	article	article	NOUN
bracis-28387	346	3	  	  	SPACE
bracis-28387	346	4	google	google	PROPN
bracis-28387	346	5	scholar	scholar	NOUN
bracis-28387	346	6	  	  	SPACE
bracis-28387	346	7	wyman	wyman	NOUN
bracis-28387	346	8	,	,	PUNCT
bracis-28387	346	9	b.t	b.t	PROPN
bracis-28387	346	10	.	.	PROPN
bracis-28387	346	11	,	,	PUNCT
bracis-28387	346	12	et	et	PROPN
bracis-28387	346	13	al	al	PROPN
bracis-28387	346	14	.	.	PUNCT
bracis-28387	346	15	:	:	PUNCT
bracis-28387	347	1	standardization	standardization	NOUN
bracis-28387	347	2	of	of	ADP
bracis-28387	347	3	analysis	analysis	NOUN
bracis-28387	347	4	sets	set	NOUN
bracis-28387	347	5	for	for	ADP
bracis-28387	347	6	reporting	report	VERB
bracis-28387	347	7	results	result	NOUN
bracis-28387	347	8	from	from	ADP
bracis-28387	347	9	adni	adni	DET
bracis-28387	347	10	mri	mri	NOUN
bracis-28387	347	11	data	data	PROPN
bracis-28387	347	12	.	.	PUNCT
bracis-28387	348	1	alzheimer	alzheimer	PROPN
bracis-28387	348	2	’s	’s	PART
bracis-28387	348	3	dement	dement	PROPN
bracis-28387	348	4	.	.	PUNCT
bracis-28387	349	1	9(3	9(3	NUM
bracis-28387	349	2	)	)	PUNCT
bracis-28387	349	3	,	,	PUNCT
bracis-28387	350	1	332–337	332–337	NUM
bracis-28387	350	2	(	(	PUNCT
bracis-28387	350	3	2013	2013	NUM
bracis-28387	350	4	)	)	PUNCT
bracis-28387	350	5	.	.	PUNCT
bracis-28387	351	1	https://doi.org/10.1016/j.jalz.2012.06.004	https://doi.org/10.1016/j.jalz.2012.06.004	PROPN
bracis-28387	351	2	article	article	NOUN
bracis-28387	351	3	  	  	SPACE
bracis-28387	351	4	google	google	PROPN
bracis-28387	351	5	scholar	scholar	NOUN
bracis-28387	351	6	  	  	SPACE
bracis-28387	351	7	zhang	zhang	PROPN
bracis-28387	351	8	,	,	PUNCT
bracis-28387	351	9	z.	z.	PROPN
bracis-28387	351	10	,	,	PUNCT
bracis-28387	351	11	liu	liu	PROPN
bracis-28387	351	12	,	,	PUNCT
bracis-28387	351	13	q.	q.	PROPN
bracis-28387	351	14	,	,	PUNCT
bracis-28387	351	15	wang	wang	PROPN
bracis-28387	351	16	,	,	PUNCT
bracis-28387	351	17	y.	y.	NOUN
bracis-28387	351	18	:	:	PUNCT
bracis-28387	351	19	road	road	NOUN
bracis-28387	351	20	extraction	extraction	NOUN
bracis-28387	351	21	by	by	ADP
bracis-28387	351	22	deep	deep	ADJ
bracis-28387	351	23	residual	residual	ADJ
bracis-28387	351	24	u	u	NOUN
bracis-28387	351	25	-	-	NOUN
bracis-28387	351	26	net	net	ADJ
bracis-28387	351	27	.	.	PUNCT
bracis-28387	352	1	ieee	ieee	PROPN
bracis-28387	352	2	geosci	geosci	PROPN
bracis-28387	352	3	.	.	PUNCT
bracis-28387	353	1	remote	remote	PROPN
bracis-28387	353	2	sens	sens	PROPN
bracis-28387	353	3	.	.	PROPN
bracis-28387	353	4	lett	lett	PROPN
bracis-28387	353	5	.	.	PUNCT
bracis-28387	354	1	15(5	15(5	NUM
bracis-28387	354	2	)	)	PUNCT
bracis-28387	354	3	,	,	PUNCT
bracis-28387	354	4	749–753	749–753	NUM
bracis-28387	354	5	(	(	PUNCT
bracis-28387	354	6	2018	2018	NUM
bracis-28387	354	7	)	)	PUNCT
bracis-28387	354	8	.	.	PUNCT
bracis-28387	355	1	https://doi.org/10.1109/lgrs.2018.2802944	https://doi.org/10.1109/lgrs.2018.2802944	PROPN
bracis-28387	355	2	article	article	NOUN
bracis-28387	355	3	  	  	SPACE
bracis-28387	355	4	google	google	PROPN
bracis-28387	355	5	scholar	scholar	NOUN
bracis-28387	355	6	  	  	SPACE
bracis-28387	355	7	download	download	NOUN
bracis-28387	355	8	references	reference	NOUN
bracis-28387	355	9	author	author	NOUN
bracis-28387	355	10	information	information	NOUN
bracis-28387	355	11	authors	author	NOUN
bracis-28387	355	12	and	and	CCONJ
bracis-28387	355	13	affiliations	affiliation	NOUN
bracis-28387	355	14	federal	federal	PROPN
bracis-28387	355	15	university	university	PROPN
bracis-28387	355	16	of	of	ADP
bracis-28387	355	17	santa	santa	PROPN
bracis-28387	355	18	catarina	catarina	PROPN
bracis-28387	355	19	(	(	PUNCT
bracis-28387	355	20	ufsc	ufsc	PROPN
bracis-28387	355	21	)	)	PUNCT
bracis-28387	355	22	,	,	PUNCT
bracis-28387	355	23	florianópolis	florianópolis	PROPN
bracis-28387	355	24	,	,	PUNCT
bracis-28387	355	25	sc	sc	PROPN
bracis-28387	355	26	,	,	PUNCT
bracis-28387	355	27	brazil	brazil	PROPN
bracis-28387	355	28	bruno	bruno	PROPN
bracis-28387	355	29	m.	m.	PROPN
bracis-28387	355	30	pacheco	pacheco	PROPN
bracis-28387	355	31	,	,	PUNCT
bracis-28387	355	32	 	 	SPACE
bracis-28387	355	33	victor	victor	PROPN
bracis-28387	355	34	h.	h.	PROPN
bracis-28387	355	35	r.	r.	PROPN
bracis-28387	355	36	de	de	PROPN
bracis-28387	355	37	oliveira	oliveira	PROPN
bracis-28387	355	38	 	 	SPACE
bracis-28387	355	39	&	&	CCONJ
bracis-28387	355	40	 	 	SPACE
bracis-28387	355	41	danilo	danilo	PROPN
bracis-28387	355	42	silva	silva	PROPN
bracis-28387	355	43	alliar	alliar	PROPN
bracis-28387	355	44	nepia	nepia	PROPN
bracis-28387	355	45	,	,	PUNCT
bracis-28387	355	46	belo	belo	PROPN
bracis-28387	355	47	horizonte	horizonte	PROPN
bracis-28387	355	48	,	,	PUNCT
bracis-28387	355	49	mg	mg	PROPN
bracis-28387	355	50	,	,	PUNCT
bracis-28387	355	51	brazil	brazil	PROPN
bracis-28387	355	52	augusto	augusto	PROPN
bracis-28387	355	53	b.	b.	PROPN
bracis-28387	355	54	f.	f.	PROPN
bracis-28387	355	55	antunes	antunes	PROPN
bracis-28387	355	56	3778	3778	NUM
bracis-28387	355	57	healthcare	healthcare	PROPN
bracis-28387	355	58	,	,	PUNCT
bracis-28387	355	59	belo	belo	PROPN
bracis-28387	355	60	horizonte	horizonte	PROPN
bracis-28387	355	61	,	,	PUNCT
bracis-28387	355	62	mg	mg	PROPN
bracis-28387	355	63	,	,	PUNCT
bracis-28387	355	64	brazil	brazil	PROPN
bracis-28387	355	65	saulo	saulo	PROPN
bracis-28387	355	66	d.	d.	PROPN
bracis-28387	355	67	s.	s.	PROPN
bracis-28387	355	68	pedro	pedro	PROPN
bracis-28387	355	69	authors	authors	PROPN
bracis-28387	355	70	bruno	bruno	PROPN
bracis-28387	355	71	m.	m.	PROPN
bracis-28387	355	72	pachecoview	pachecoview	PROPN
bracis-28387	355	73	author	author	NOUN
bracis-28387	355	74	publications	publication	NOUN
bracis-28387	355	75	search	search	NOUN
bracis-28387	355	76	author	author	NOUN
bracis-28387	355	77	on	on	ADP
bracis-28387	355	78	:	:	PUNCT
bracis-28387	355	79	pubmed	pubmed	PROPN
bracis-28387	355	80	 	 	SPACE
bracis-28387	355	81	google	google	PROPN
bracis-28387	355	82	scholar	scholar	PROPN
bracis-28387	355	83	victor	victor	PROPN
bracis-28387	355	84	h.	h.	PROPN
bracis-28387	355	85	r.	r.	PROPN
bracis-28387	355	86	de	de	PROPN
bracis-28387	355	87	oliveiraview	oliveiraview	PROPN
bracis-28387	355	88	author	author	NOUN
bracis-28387	355	89	publications	publication	NOUN
bracis-28387	355	90	search	search	NOUN
bracis-28387	355	91	author	author	NOUN
bracis-28387	355	92	on	on	ADP
bracis-28387	355	93	:	:	PUNCT
bracis-28387	355	94	pubmed	pubmed	PROPN
bracis-28387	355	95	 	 	SPACE
bracis-28387	355	96	google	google	PROPN
bracis-28387	355	97	scholar	scholar	NOUN
bracis-28387	355	98	augusto	augusto	PROPN
bracis-28387	355	99	b.	b.	PROPN
bracis-28387	355	100	f.	f.	PROPN
bracis-28387	355	101	antunesview	antunesview	PROPN
bracis-28387	355	102	author	author	NOUN
bracis-28387	355	103	publications	publication	VERB
bracis-28387	355	104	search	search	NOUN
bracis-28387	355	105	author	author	NOUN
bracis-28387	355	106	on	on	ADP
bracis-28387	355	107	:	:	PUNCT
bracis-28387	355	108	pubmed	pubmed	PROPN
bracis-28387	355	109	 	 	SPACE
bracis-28387	355	110	google	google	PROPN
bracis-28387	355	111	scholar	scholar	PROPN
bracis-28387	355	112	saulo	saulo	PROPN
bracis-28387	355	113	d.	d.	PROPN
bracis-28387	355	114	s.	s.	PROPN
bracis-28387	355	115	pedroview	pedroview	PROPN
bracis-28387	355	116	author	author	NOUN
bracis-28387	355	117	publications	publication	NOUN
bracis-28387	355	118	search	search	NOUN
bracis-28387	355	119	author	author	NOUN
bracis-28387	355	120	on	on	ADP
bracis-28387	355	121	:	:	PUNCT
bracis-28387	355	122	pubmed	pubmed	PROPN
bracis-28387	355	123	 	 	SPACE
bracis-28387	355	124	google	google	PROPN
bracis-28387	355	125	scholar	scholar	PROPN
bracis-28387	355	126	danilo	danilo	PROPN
bracis-28387	355	127	silvaview	silvaview	PROPN
bracis-28387	355	128	author	author	NOUN
bracis-28387	355	129	publications	publication	NOUN
bracis-28387	355	130	search	search	NOUN
bracis-28387	355	131	author	author	NOUN
bracis-28387	355	132	on	on	ADP
bracis-28387	355	133	:	:	PUNCT
bracis-28387	355	134	pubmed	pubmed	PROPN
bracis-28387	355	135	 	 	SPACE
bracis-28387	355	136	google	google	PROPN
bracis-28387	355	137	scholar	scholar	NOUN
bracis-28387	355	138	consortia	consortium	NOUN
bracis-28387	355	139	for	for	ADP
bracis-28387	355	140	the	the	DET
bracis-28387	355	141	alzheimer	alzheimer	PROPN
bracis-28387	355	142	’s	’s	PART
bracis-28387	355	143	disease	disease	NOUN
bracis-28387	355	144	neuroimaging	neuroimaging	NOUN
bracis-28387	355	145	initiative	initiative	NOUN
bracis-28387	355	146	corresponding	correspond	VERB
bracis-28387	355	147	author	author	NOUN
bracis-28387	355	148	correspondence	correspondence	NOUN
bracis-28387	355	149	to	to	ADP
bracis-28387	355	150	danilo	danilo	PROPN
bracis-28387	355	151	silva	silva	PROPN
bracis-28387	355	152	.	.	PUNCT
bracis-28387	356	1	editor	editor	NOUN
bracis-28387	356	2	information	information	NOUN
bracis-28387	356	3	editors	editor	NOUN
bracis-28387	356	4	and	and	CCONJ
bracis-28387	356	5	affiliations	affiliation	NOUN
bracis-28387	356	6	federal	federal	PROPN
bracis-28387	356	7	university	university	PROPN
bracis-28387	356	8	of	of	ADP
bracis-28387	356	9	são	são	PROPN
bracis-28387	356	10	carlos	carlos	PROPN
bracis-28387	356	11	,	,	PUNCT
bracis-28387	356	12	são	são	PROPN
bracis-28387	356	13	carlos	carlos	PROPN
bracis-28387	356	14	,	,	PUNCT
bracis-28387	356	15	brazil	brazil	PROPN
bracis-28387	356	16	murilo	murilo	PROPN
bracis-28387	356	17	c.	c.	PROPN
bracis-28387	356	18	naldi	naldi	PROPN
bracis-28387	356	19	centro	centro	PROPN
bracis-28387	356	20	universitario	universitario	PROPN
bracis-28387	356	21	da	da	PROPN
bracis-28387	356	22	fei	fei	PROPN
bracis-28387	356	23	,	,	PUNCT
bracis-28387	356	24	são	são	PROPN
bracis-28387	356	25	bernardo	bernardo	PROPN
bracis-28387	356	26	do	do	AUX
bracis-28387	356	27	campo	campo	PROPN
bracis-28387	356	28	,	,	PUNCT
bracis-28387	356	29	brazil	brazil	PROPN
bracis-28387	356	30	reinaldo	reinaldo	PROPN
bracis-28387	356	31	a.	a.	PROPN
bracis-28387	356	32	c.	c.	PROPN
bracis-28387	356	33	bianchi	bianchi	PROPN
bracis-28387	356	34	rights	right	NOUN
bracis-28387	356	35	and	and	CCONJ
bracis-28387	356	36	permissions	permission	NOUN
bracis-28387	356	37	reprints	reprint	NOUN
bracis-28387	356	38	and	and	CCONJ
bracis-28387	356	39	permissions	permission	VERB
bracis-28387	356	40	copyright	copyright	NOUN
bracis-28387	356	41	information	information	NOUN
bracis-28387	356	42	©	©	ADP
bracis-28387	356	43	2023	2023	NUM
bracis-28387	356	44	the	the	DET
bracis-28387	356	45	author(s	author(s	NOUN
bracis-28387	356	46	)	)	PUNCT
bracis-28387	356	47	,	,	PUNCT
bracis-28387	356	48	under	under	ADP
bracis-28387	356	49	exclusive	exclusive	ADJ
bracis-28387	356	50	license	license	NOUN
bracis-28387	356	51	to	to	ADP
bracis-28387	356	52	springer	springer	NOUN
bracis-28387	356	53	nature	nature	PROPN
bracis-28387	356	54	switzerland	switzerland	PROPN
bracis-28387	356	55	ag	ag	PROPN
bracis-28387	356	56	about	about	ADP
bracis-28387	356	57	this	this	DET
bracis-28387	356	58	paper	paper	NOUN
bracis-28387	356	59	cite	cite	VERB
bracis-28387	356	60	this	this	DET
bracis-28387	356	61	paper	paper	NOUN
bracis-28387	356	62	pacheco	pacheco	PROPN
bracis-28387	356	63	,	,	PUNCT
bracis-28387	356	64	b.m	b.m	PROPN
bracis-28387	356	65	.	.	PROPN
bracis-28387	356	66	,	,	PUNCT
bracis-28387	356	67	de	de	PROPN
bracis-28387	356	68	oliveira	oliveira	PROPN
bracis-28387	356	69	,	,	PUNCT
bracis-28387	356	70	v.h.r	v.h.r	NOUN
bracis-28387	356	71	.	.	PUNCT
bracis-28387	356	72	,	,	PUNCT
bracis-28387	356	73	antunes	antunes	PROPN
bracis-28387	356	74	,	,	PUNCT
bracis-28387	356	75	a.b.f	a.b.f	PROPN
bracis-28387	356	76	.	.	PROPN
bracis-28387	356	77	,	,	PUNCT
bracis-28387	356	78	pedro	pedro	PROPN
bracis-28387	356	79	,	,	PUNCT
bracis-28387	356	80	s.d.s	s.d.s	PROPN
bracis-28387	356	81	.	.	PROPN
bracis-28387	356	82	,	,	PUNCT
bracis-28387	356	83	silva	silva	PROPN
bracis-28387	356	84	,	,	PUNCT
bracis-28387	356	85	d.	d.	PROPN
bracis-28387	356	86	,	,	PUNCT
bracis-28387	356	87	for	for	ADP
bracis-28387	356	88	the	the	DET
bracis-28387	356	89	alzheimer	alzheimer	PROPN
bracis-28387	356	90	’s	’s	PART
bracis-28387	356	91	disease	disease	NOUN
bracis-28387	356	92	neuroimaging	neuroimaging	NOUN
bracis-28387	356	93	initiative	initiative	NOUN
bracis-28387	356	94	.	.	PUNCT
bracis-28387	357	1	(	(	PUNCT
bracis-28387	357	2	2023	2023	NUM
bracis-28387	357	3	)	)	PUNCT
bracis-28387	357	4	.	.	PUNCT
bracis-28387	358	1	does	do	AUX
bracis-28387	358	2	pre	pre	VERB
bracis-28387	358	3	-	-	VERB
bracis-28387	358	4	training	training	NOUN
bracis-28387	358	5	on	on	ADP
bracis-28387	358	6	 	 	SPACE
bracis-28387	358	7	brain	brain	NOUN
bracis-28387	358	8	-	-	PUNCT
bracis-28387	358	9	related	relate	VERB
bracis-28387	358	10	tasks	task	NOUN
bracis-28387	358	11	results	result	VERB
bracis-28387	358	12	in	in	ADP
bracis-28387	358	13	 	 	SPACE
bracis-28387	358	14	better	well	ADJ
bracis-28387	358	15	deep	deep	ADJ
bracis-28387	358	16	-	-	PUNCT
bracis-28387	358	17	learning	learning	NOUN
bracis-28387	358	18	-	-	PUNCT
bracis-28387	358	19	based	base	VERB
bracis-28387	358	20	brain	brain	NOUN
bracis-28387	358	21	age	age	NOUN
bracis-28387	358	22	biomarkers	biomarker	NOUN
bracis-28387	358	23	?	?	PUNCT
bracis-28387	358	24	.	.	PUNCT
bracis-28387	359	1	in	in	ADP
bracis-28387	359	2	:	:	PUNCT
bracis-28387	359	3	naldi	naldi	PROPN
bracis-28387	359	4	,	,	PUNCT
bracis-28387	359	5	m.c	m.c	PROPN
bracis-28387	359	6	.	.	PROPN
bracis-28387	359	7	,	,	PUNCT
bracis-28387	359	8	bianchi	bianchi	PROPN
bracis-28387	359	9	,	,	PUNCT
bracis-28387	359	10	r.a.c	r.a.c	ADP
bracis-28387	359	11	.	.	PUNCT
bracis-28387	359	12	(	(	PUNCT
bracis-28387	359	13	eds	ed	NOUN
bracis-28387	359	14	)	)	PUNCT
bracis-28387	359	15	intelligent	intelligent	ADJ
bracis-28387	359	16	systems	system	NOUN
bracis-28387	359	17	.	.	PUNCT
bracis-28387	360	1	bracis	bracis	PROPN
bracis-28387	360	2	2023	2023	NUM
bracis-28387	360	3	.	.	PUNCT
bracis-28387	361	1	lecture	lecture	NOUN
bracis-28387	361	2	notes	note	NOUN
bracis-28387	361	3	in	in	ADP
bracis-28387	361	4	computer	computer	NOUN
bracis-28387	361	5	science	science	NOUN
bracis-28387	361	6	(	(	PUNCT
bracis-28387	361	7	)	)	PUNCT
bracis-28387	361	8	,	,	PUNCT
bracis-28387	361	9	vol	vol	NOUN
bracis-28387	361	10	14196	14196	NUM
bracis-28387	361	11	.	.	PUNCT
bracis-28387	362	1	springer	springer	NOUN
bracis-28387	362	2	,	,	PUNCT
bracis-28387	362	3	cham	cham	PROPN
bracis-28387	362	4	.	.	PUNCT
bracis-28387	363	1	https://doi.org/10.1007/978-3-031-45389-2_13	https://doi.org/10.1007/978-3-031-45389-2_13	NOUN
bracis-28387	363	2	download	download	NOUN
bracis-28387	363	3	citation	citation	NOUN
bracis-28387	363	4	.ris	.ris	PUNCT
bracis-28387	363	5	.enw	.enw	PROPN
bracis-28387	364	1	.bib	.bib	PUNCT
bracis-28387	365	1	doi	doi	PROPN
bracis-28387	365	2	:	:	PUNCT
bracis-28387	365	3	https://doi.org/10.1007/978-3-031-45389-2_13	https://doi.org/10.1007/978-3-031-45389-2_13	AUX
bracis-28387	365	4	published	publish	VERB
bracis-28387	365	5	:	:	PUNCT
bracis-28387	365	6	12	12	NUM
bracis-28387	365	7	october	october	PROPN
bracis-28387	365	8	2023	2023	NUM
bracis-28387	365	9	publisher	publisher	NOUN
bracis-28387	365	10	name	name	NOUN
bracis-28387	365	11	:	:	PUNCT
bracis-28387	365	12	springer	springer	NOUN
bracis-28387	365	13	,	,	PUNCT
bracis-28387	365	14	cham	cham	PROPN
bracis-28387	365	15	print	print	PROPN
bracis-28387	365	16	isbn	isbn	PROPN
bracis-28387	365	17	:	:	PUNCT
bracis-28387	365	18	978	978	NUM
bracis-28387	365	19	-	-	SYM
bracis-28387	365	20	3	3	NUM
bracis-28387	365	21	-	-	PUNCT
bracis-28387	365	22	031	031	NUM
bracis-28387	365	23	-	-	PUNCT
bracis-28387	365	24	45388	45388	NUM
bracis-28387	365	25	-	-	SYM
bracis-28387	365	26	5	5	NUM
bracis-28387	365	27	online	online	ADJ
bracis-28387	365	28	isbn	isbn	NOUN
bracis-28387	365	29	:	:	PUNCT
bracis-28387	365	30	978	978	NUM
bracis-28387	365	31	-	-	SYM
bracis-28387	365	32	3	3	NUM
bracis-28387	365	33	-	-	PUNCT
bracis-28387	365	34	031	031	NUM
bracis-28387	365	35	-	-	PUNCT
bracis-28387	365	36	45389	45389	NUM
bracis-28387	365	37	-	-	SYM
bracis-28387	365	38	2	2	NUM
bracis-28387	365	39	ebook	ebook	NOUN
bracis-28387	365	40	packages	package	NOUN
bracis-28387	365	41	:	:	PUNCT
bracis-28387	365	42	computer	computer	NOUN
bracis-28387	365	43	sciencecomputer	sciencecomputer	NOUN
bracis-28387	365	44	science	science	NOUN
bracis-28387	365	45	(	(	PUNCT
bracis-28387	365	46	r0	r0	NOUN
bracis-28387	365	47	)	)	PUNCT
bracis-28387	365	48	share	share	VERB
bracis-28387	365	49	this	this	DET
bracis-28387	365	50	paper	paper	NOUN
bracis-28387	365	51	anyone	anyone	PRON
bracis-28387	365	52	you	you	PRON
bracis-28387	365	53	share	share	VERB
bracis-28387	365	54	the	the	DET
bracis-28387	365	55	following	follow	VERB
bracis-28387	365	56	link	link	NOUN
bracis-28387	365	57	with	with	ADP
bracis-28387	365	58	will	will	AUX
bracis-28387	365	59	be	be	AUX
bracis-28387	365	60	able	able	ADJ
bracis-28387	365	61	to	to	PART
bracis-28387	365	62	read	read	VERB
bracis-28387	365	63	this	this	DET
bracis-28387	365	64	content	content	NOUN
bracis-28387	365	65	:	:	PUNCT
bracis-28387	365	66	get	get	VERB
bracis-28387	365	67	shareable	shareable	ADJ
bracis-28387	365	68	linksorry	linksorry	NOUN
bracis-28387	365	69	,	,	PUNCT
bracis-28387	365	70	a	a	DET
bracis-28387	365	71	shareable	shareable	ADJ
bracis-28387	365	72	link	link	NOUN
bracis-28387	365	73	is	be	AUX
bracis-28387	365	74	not	not	PART
bracis-28387	365	75	currently	currently	ADV
bracis-28387	365	76	available	available	ADJ
bracis-28387	365	77	for	for	ADP
bracis-28387	365	78	this	this	DET
bracis-28387	365	79	article	article	NOUN
bracis-28387	365	80	.	.	PUNCT
bracis-28387	366	1	copy	copy	VERB
bracis-28387	366	2	shareable	shareable	ADJ
bracis-28387	366	3	link	link	NOUN
bracis-28387	366	4	to	to	PART
bracis-28387	366	5	clipboard	clipboard	NOUN
bracis-28387	366	6	provided	provide	VERB
bracis-28387	366	7	by	by	ADP
bracis-28387	366	8	the	the	DET
bracis-28387	366	9	springer	springer	NOUN
bracis-28387	366	10	nature	nature	PROPN
bracis-28387	366	11	sharedit	sharedit	PROPN
bracis-28387	366	12	content	content	NOUN
bracis-28387	366	13	-	-	PUNCT
bracis-28387	366	14	sharing	share	VERB
bracis-28387	366	15	initiative	initiative	NOUN
bracis-28387	366	16	keywords	keyword	NOUN
bracis-28387	366	17	brain	brain	VERB
bracis-28387	366	18	age	age	NOUN
bracis-28387	366	19	deep	deep	ADJ
bracis-28387	366	20	learning	learn	VERB
bracis-28387	366	21	adni	adni	DET
bracis-28387	366	22	brats	brat	NOUN
bracis-28387	366	23	mri	mri	NOUN
bracis-28387	366	24	transfer	transfer	NOUN
bracis-28387	366	25	learning	learning	NOUN
bracis-28387	366	26	publish	publish	NOUN
bracis-28387	366	27	with	with	ADP
bracis-28387	366	28	us	us	PROPN
bracis-28387	366	29	policies	policy	NOUN
bracis-28387	366	30	and	and	CCONJ
bracis-28387	366	31	ethics	ethic	NOUN
bracis-28387	366	32	profiles	profile	NOUN
bracis-28387	366	33	danilo	danilo	PROPN
bracis-28387	366	34	silva	silva	PROPN
bracis-28387	366	35	view	view	PROPN
bracis-28387	366	36	author	author	NOUN
bracis-28387	366	37	profile	profile	NOUN
bracis-28387	366	38	search	search	NOUN
bracis-28387	366	39	search	search	NOUN
bracis-28387	366	40	by	by	ADP
bracis-28387	366	41	keyword	keyword	NOUN
bracis-28387	366	42	or	or	CCONJ
bracis-28387	366	43	author	author	NOUN
bracis-28387	366	44	search	search	NOUN
bracis-28387	366	45	navigation	navigation	NOUN
bracis-28387	366	46	find	find	VERB
bracis-28387	366	47	a	a	DET
bracis-28387	366	48	journal	journal	NOUN
bracis-28387	366	49	publish	publish	VERB
bracis-28387	366	50	with	with	ADP
bracis-28387	366	51	us	we	PRON
bracis-28387	366	52	track	track	VERB
bracis-28387	366	53	your	your	PRON
bracis-28387	366	54	research	research	NOUN
bracis-28387	366	55	discover	discover	VERB
bracis-28387	366	56	content	content	NOUN
bracis-28387	366	57	journals	journal	NOUN
bracis-28387	366	58	a	a	DET
bracis-28387	366	59	-	-	PUNCT
bracis-28387	366	60	z	z	NOUN
bracis-28387	366	61	books	book	NOUN
bracis-28387	366	62	a	a	DET
bracis-28387	366	63	-	-	PUNCT
bracis-28387	366	64	z	z	NOUN
bracis-28387	366	65	publish	publish	NOUN
bracis-28387	366	66	with	with	ADP
bracis-28387	366	67	us	us	PROPN
bracis-28387	366	68	journal	journal	PROPN
bracis-28387	366	69	finder	finder	PROPN
bracis-28387	366	70	publish	publish	VERB
bracis-28387	366	71	your	your	PRON
bracis-28387	366	72	research	research	NOUN
bracis-28387	366	73	language	language	NOUN
bracis-28387	366	74	editing	edit	VERB
bracis-28387	366	75	open	open	ADJ
bracis-28387	366	76	access	access	NOUN
bracis-28387	366	77	publishing	publishing	NOUN
bracis-28387	366	78	products	product	NOUN
bracis-28387	366	79	and	and	CCONJ
bracis-28387	366	80	services	service	NOUN
bracis-28387	366	81	our	our	PRON
bracis-28387	366	82	products	product	NOUN
bracis-28387	366	83	librarians	librarian	VERB
bracis-28387	366	84	societies	society	NOUN
bracis-28387	366	85	partners	partner	NOUN
bracis-28387	366	86	and	and	CCONJ
bracis-28387	366	87	advertisers	advertiser	NOUN
bracis-28387	366	88	our	our	PRON
bracis-28387	366	89	brands	brand	NOUN
bracis-28387	366	90	springer	springer	NOUN
bracis-28387	366	91	nature	nature	PROPN
bracis-28387	366	92	portfolio	portfolio	PROPN
bracis-28387	366	93	bmc	bmc	PROPN
bracis-28387	366	94	palgrave	palgrave	PROPN
bracis-28387	366	95	macmillan	macmillan	PROPN
bracis-28387	366	96	apress	apress	PROPN
bracis-28387	366	97	discover	discover	VERB
bracis-28387	366	98	your	your	PRON
bracis-28387	366	99	privacy	privacy	NOUN
bracis-28387	366	100	choices	choice	NOUN
bracis-28387	366	101	/	/	SYM
bracis-28387	366	102	manage	manage	NOUN
bracis-28387	366	103	cookies	cookie	NOUN
bracis-28387	366	104	your	your	PRON
bracis-28387	366	105	us	us	PROPN
bracis-28387	367	1	state	state	NOUN
bracis-28387	367	2	privacy	privacy	NOUN
bracis-28387	367	3	rights	right	NOUN
bracis-28387	367	4	accessibility	accessibility	NOUN
bracis-28387	367	5	statement	statement	NOUN
bracis-28387	367	6	terms	term	NOUN
bracis-28387	367	7	and	and	CCONJ
bracis-28387	367	8	conditions	condition	NOUN
bracis-28387	367	9	privacy	privacy	NOUN
bracis-28387	367	10	policy	policy	NOUN
bracis-28387	367	11	help	help	NOUN
bracis-28387	367	12	and	and	CCONJ
bracis-28387	367	13	support	support	VERB
bracis-28387	367	14	legal	legal	ADJ
bracis-28387	367	15	notice	notice	NOUN
bracis-28387	367	16	cancel	cancel	VERB
bracis-28387	367	17	contracts	contract	NOUN
bracis-28387	367	18	here	here	ADV
bracis-28387	367	19	129.74.145.123	129.74.145.123	NUM
bracis-28387	367	20	hesburgh	hesburgh	PROPN
bracis-28387	367	21	library	library	PROPN
bracis-28387	367	22	er	er	INTJ
bracis-28387	367	23	unit	unit	NOUN
bracis-28387	367	24	(	(	PUNCT
bracis-28387	367	25	3005732405	3005732405	NUM
bracis-28387	367	26	)	)	PUNCT
bracis-28387	367	27	northeast	northeast	ADJ
bracis-28387	367	28	research	research	NOUN
bracis-28387	367	29	libraries	library	NOUN
bracis-28387	367	30	(	(	PUNCT
bracis-28387	367	31	nerl	nerl	PROPN
bracis-28387	367	32	)	)	PUNCT
bracis-28387	367	33	(	(	PUNCT
bracis-28387	367	34	8200828607	8200828607	NUM
bracis-28387	367	35	)	)	PUNCT
bracis-28387	367	36	nerl	nerl	VERB
bracis-28387	367	37	ta	ta	X
bracis-28387	367	38	account	account	NOUN
bracis-28387	367	39	(	(	PUNCT
bracis-28387	367	40	3006206169	3006206169	NUM
bracis-28387	367	41	)	)	PUNCT
bracis-28387	367	42	university	university	NOUN
bracis-28387	367	43	of	of	ADP
bracis-28387	367	44	notre	notre	PROPN
bracis-28387	367	45	dame	dame	PROPN
bracis-28387	367	46	hesburgh	hesburgh	PROPN
bracis-28387	367	47	library	library	NOUN
bracis-28387	367	48	(	(	PUNCT
bracis-28387	367	49	3000184373	3000184373	NUM
bracis-28387	367	50	)	)	PUNCT
bracis-28387	368	1	©	©	ADP
bracis-28387	368	2	2025	2025	NUM
bracis-28387	368	3	springer	springer	NOUN
bracis-28387	368	4	nature	nature	NOUN