PatientSpace: A multimodal graph-based latent representation framework for modeling neurodegenerative disease heterogeneity

Results

Naziv:	PatientSpace: A multimodal graph-based latent representation framework for modeling neurodegenerative disease heterogeneity
Autori :	Manouvriez, Dorian; ...; Petrovic, Sonja; ...; Zabihi, Mariam; (broj, koautora 17)
Godina:	2026
Publikacija:	NEUROIMAGE
ISSN:	1053-8119 Neuroimage Pretraži identifikator
Tip rezultata:	Naučni članak
Kolacija:	vol. 338 str. 122136-122136
DOI:	10.1016/j.neuroimage.2026.122136
WoS-ID:	001835078500001
Scopus-ID:	2-s2.0-105045232351
URI:	https://enauka.gov.rs/handle/123456789/1049436
Projekat:	National Institute on Aging (National Institutes of Health) [U19AG024904] National Institute of Biomedical Imaging and BioengineeringNational Institute of Biomedical Imaging and Bioengineering Canadian Institutes of Health Research, and private sector contributions through the Foundation for the National Institutes of Health (FNIH) AbbVie Alzheimer's Association Alzheimer's Drug Discovery Foundation Araclon Biotech BioClinica, Inc. Biogen BristolMyers Squibb Company Euro-Immun F. Hoffmann-La Roche Ltd. Frontotemporal Lobar Degeneration Neuroimaging Initiative (National Institutes of Health) [R01 AG032306] Fondation Bettencourt-Schueller Fondation Servier Union Nationale pour les Interets de la Medecine (UNIM) Fondation Claude Pompidou Fondation Alzheimer Banque Publique d'Investissement Lion's Club Alzheimer Fondation pour la Recherche sur l'Alzheimer
Izvor metapodataka:	(Preuzeto iz Nasi u WoS)
M-kategorija:	21aM21a - Vodeći međunarodni časopis kategorije M21a

Altmetric

Dimensions

Unpaywall