Journal
Nature Communications
Publication Date
12-3-2021
Volume
12
Issue
1
First Page
7065
Document Type
Open Access Publication
DOI
10.1038/s41467-021-26703-z
Rights and Permissions
Yang Z, Nasrallah IM, Shou H, Wen J, Doshi J, Habes M, Erus G, Abdulkadir A, Resnick SM, Albert MS, Maruff P, Fripp J, Morris JC, Wolk DA, Davatzikos C; iSTAGING Consortium; Baltimore Longitudinal Study of Aging (BLSA); Alzheimer’s Disease Neuroimaging Initiative (ADNI). A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structure. Nat Commun. 2021 Dec 3;12(1):7065. doi: 10.1038/s41467-021-26703-z. https://www.nature.com/articles/s41467-021-26703-z This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Recommended Citation
Yang, Zhijian; Nasrallah, Ilya M.; Morris, John C.; and et al, "A deep learning framework identifies dimensional representations of Alzheimer's disease from brain structure." Nature Communications. 12, 1. 7065 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/11216
Supplementary Information
41467_2021_26703_MOESM2_ESM.pdf (1006 kB)
Peer Review File
41467_2021_26703_MOESM3_ESM.pdf (3392 kB)
Reporting Summary
41467_2021_26703_MOESM4_ESM.xlsx (1098 kB)
Source Data
