r20250120

List of datasets used for training

• basel-mp2rage
• canproco
• data-multi-subject
• dcm-brno
• dcm-zurich-lesions-20231115
• dcm-zurich-lesions
• dcm-zurich
• lumbar-epfl
• lumbar-vanderbilt
• nih-ms-mp2rage
• sci-colorado
• sci-paris
• sci-zurich
• sct-testing-large (T2star and MTon contrasts)
• site_006 (praxis)
• site_007 (praxis)

Dataset stats I (SUBJECT-WISE PATHOLOGY SPLIT)

Pathology	Number of Subjects
ALS	13
AcuteSCI	95
DCM	359
HC	428
MS	164
NMO	10
PPMS	60
RIS	61
RRMS	249
SCI	191
SYR	1
TOTAL	1631

Dataset stats II (CONTRAST-WISE PATHOLOGY SPLIT)

	MS	HC	RRMS	RIS	PPMS	DCM	SCI	ALS	NMO	SYR	AcuteSCI	#total_per_contrast
dwi	0	184	0	0	0	59	0	0	0	0	0	243
mt-off	0	184	0	0	0	59	0	0	0	0	0	243
mt-on	0	184	0	0	0	64	0	0	0	0	0	248
psir	0	42	193	54	44	0	0	0	0	0	0	333
stir	0	10	56	7	16	0	0	0	0	0	0	89
t1w	0	249	0	0	0	59	0	0	10	0	0	318
t2star	121	237	0	0	0	127	0	13	0	1	0	499
t2w	0	252	229	61	57	426	257	0	0	0	95	1377
unit1	50	53	0	0	0	0	0	0	0	0	0	103
TOTAL	171	1395	478	122	117	794	257	13	10	1	95	3453

What's Changed

• Introduces a lifelong training strategy by using pretrained weights from v2.1 model and training/finetuning on all the new datasets. The aggregated dataset covers a wide range of pathologies and contrasts
• Update preprocessing script for spine-generic with new naming convention by @sandrinebedard in #105
• Continual training of contrast-agnostic model with new contrasts and pathologies by @naga-karthik in #104
• Update model with new datasets, pathologies and contrasts by @naga-karthik in #125
• Lifelong learning strategy for adding new contrasts and pathologies by @naga-karthik in #128

Full Changelog: v2.3...v3