10.6084/M9.FIGSHARE.21332746
Bin Lu
Bin
Lu
University of Chinese Academy of Sciences
Institute of Psychology
Hui-Xian Li
Hui-Xian
Li
University of Chinese Academy of Sciences
Institute of Psychology
Zhi-Kai Chang
Zhi-Kai
Chang
University of Chinese Academy of Sciences
Institute of Psychology
Le Li
Le
Li
Beijing Language and Culture University
Ning-Xuan Chen
Ning-Xuan
Chen
University of Chinese Academy of Sciences
Institute of Psychology
Zhi-Chen Zhu
Zhi-Chen
Zhu
University of Chinese Academy of Sciences
Institute of Psychology
Hui-Xia Zhou
Hui-Xia
Zhou
University of Chinese Academy of Sciences
Institute of Psychology
Xue-Ying Li
Xue-Ying
Li
University of Chinese Academy of Sciences
Institute of Psychology
Sino-Danish Centre for Education and Research
Yu-Wei Wang
Yu-Wei
Wang
University of Chinese Academy of Sciences
Institute of Psychology
Shi-Xian Cui
Shi-Xian
Cui
University of Chinese Academy of Sciences
Institute of Psychology
Sino-Danish Centre for Education and Research
Zhao-Yu Deng
Zhao-Yu
Deng
University of Chinese Academy of Sciences
Institute of Psychology
Zhen Fan
Zhen
Fan
Fudan University
Hong Yang
Hong
Yang
Zhejiang University
Xiao Chen
Xiao
Chen
University of Chinese Academy of Sciences
Institute of Psychology
Paul M. Thompson
Paul M.
Thompson
University of Southern California
Francisco Xavier Castellanos
Francisco Xavier
Castellanos
New York University
Nathan Kline Institute for Psychiatric Research
Chao-Gan Yan
Chao-Gan
Yan
University of Chinese Academy of Sciences
Institute of Psychology
Chinese Academy of Sciences
Additional file 1 of A practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples
Supplementary Figures and Tables
Artificial Intelligence and Image Processing
figshare
2022
2022-10-14
2023-05-30
Journal contribution
11138479 Bytes
10.1016/S1474-4422%2814%2970090-0
10.1016/j.jalz.2011.03.004
10.1016/j.ejrad.2017.07.014
10.1038/s41586-019-1559-7
10.1038/s41586-018-0438-y
10.1016/j.neucom.2016.12.038
10.1016/j.cell.2018.02.010
10.1038/nature21056
10.1038/s41586-019-1799-6
10.1002/hbm.24797
10.1016/j.neuroimage.2014.06.077
10.1093/brain/awaa160
10.1016/j.neuroimage.2014.10.002
10.1093/brain/awaa137
10.1016/j.neuroimage.2017.03.057
10.3389/fnagi.2019.00220
10.1016/j.cmpb.2019.105242
10.1109/TMI.2016.2535302
10.1038/s41467-019-13163-9
10.1002/hbm.460020402
10.1007/s00234-013-1193-2
10.1006/nimg.2001.0786
10.1186/s13550-021-00795-6
10.1016/j.cmpb.2020.105793
10.1016/j.jalz.2010.03.009
10.1016/j.neuroimage.2012.12.044
10.1162/jocn.2007.19.9.1498
10.1016/S0140-6736%2806%2968542-5
10.18201/ijisae.2020466308
10.1007/s11263-019-01228-7
10.1016/j.media.2020.101848
10.1126/science.1228541
10.1038/nrneurol.2009.215
10.1016/j.jneumeth.2020.108701
10.1093/brain/aww243
10.3233/JAD-2011-110041
10.1073/pnas.1509654112
10.1016/j.neubiorev.2021.02.026
10.1111/j.1365-2265.1976.tb01985.x
10.1016/j.neuroimage.2012.12.008
10.1016/j.neuroimage.2012.01.021
10.1073/pnas.1801582115
10.1186/s40537-022-00650-y
CC BY