Journal
Biology Methods and Protocols
Publication Date
1-1-2025
Volume
10
Issue
1
First Page
bpaf051
Document Type
Open Access Publication
DOI
10.1093/biomethods/bpaf051
Rights and Permissions
Gauri Darekar, Taslim Murad, Hui-Yuan Miao, Deepa S Thakuri, Alzheimer’s Disease Neuroimaging Initiative , Ganesh B Chand, An explainable AI approach for mapping multivariate regional brain age and clinical severity patterns in Alzheimer’s disease, Biology Methods and Protocols, Volume 10, Issue 1, 2025, bpaf051, https://doi.org/10.1093/biomethods/bpaf051. https://academic.oup.com/biomethods/article/10/1/bpaf051/8223678?login=true. © The Author(s) 2025. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.
Recommended Citation
Darekar, Gauri; Murad, Taslim; Miao, Hui-Yuan; Thakuri, Deepa S; Alzheimer’s Disease Neuroimaging Initiative; and Chand, Ganesh B, "An explainable AI approach for mapping multivariate regional brain age and clinical severity patterns in Alzheimer's disease." Biology Methods and Protocols. 10, 1. bpaf051 (2025).
https://digitalcommons.wustl.edu/oa_4/5541
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
