| Authors: |
Boquet-Pujadas A; Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA., Anagnostakis F; Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA.; Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA., Duggan MR; Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA., Joynes CM; Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA., Toga AW; Laboratory of Neuro Imaging (LONI), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA., Yang Z; GE Healthcare, Bellevue, WA, USA., Walker KA; Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA., Davatzikos C; Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA., Wen J; Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA. junhao.wen89@gmail.com.; Zuckerman Institute, Columbia University, New York, NY, USA. junhao.wen89@gmail.com.; Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID), Department of Radiology, Columbia University, New York, NY, USA. junhao.wen89@gmail.com.; Department of Radiology, Columbia University, New York, NY, USA. junhao.wen89@gmail.com.; New York Genome Center (NYGC), New York, NY, USA. junhao.wen89@gmail.com.; Department of Biomedical Engineering (BME), Columbia University, New York, NY, USA. junhao.wen89@gmail.com.; Data Science Institute (DSI), Columbia University, New York, NY, USA. junhao.wen89@gmail.com. |