Visual deep learning of unprocessed neuroimaging characterises dementia subtypes and generalises across non-stereotypic samplesResearch in context

Summary: Background: Dementia's diagnostic protocols are mostly based on standardised neuroimaging data collected in the Global North from homogeneous samples. In other non-stereotypical samples (participants with diverse admixture, genetics, demographics, MRI signals, or cultural origins), cl...

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Bibliographic Details
Main Authors: Sebastian Moguilner, Robert Whelan, Hieab Adams, Victor Valcour, Enzo Tagliazucchi, Agustín Ibáñez
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:EBioMedicine
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396423001056