Advanced brain age prediction using 3D convolutional neural network on structural MRI

Background Predicting brain age from neuroimaging data is an emerging field. The age gap (AG), the difference between chronological age (CA) and brain age (BA), is crucial for indicating individual neuroanatomical aging. Previous deep learning models faced challenges in generalizability and neuroana...

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Bibliographic Details

Published in:	Alzheimer's & dementia Vol. 20; no. S2
Main Authors:	Ahmadi, Babak, Morshedizad, Zohreh, Gahrooei, Mostafa Reisi, Babajani‐Feremi, Abbas
Format:	Journal Article
Language:	English
Published:	Hoboken John Wiley and Sons Inc 01.12.2024
Subjects:	Biomarkers
ISSN:	1552-5260, 1552-5279
Online Access:	Get full text
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