Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

Journal: Nature Communications

Published: 2020-08-25

DOI: 10.1038/s41467-020-18037-z

Affiliations: 22

Authors: 8

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Institutions Share
Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen, Germany 0.13
NUS Yong Loo Lin School of Medicine (YLLSoM), Singapore 0.08
Montreal Institute of Learning Algorithms (MILA), Canada 0.06
Department of Bioengineering (BE), Penn, United States of America (USA) 0.06
Department of Neuroscience, Penn, United States of America (USA) 0.06
University Hospital Aachen (UKA), RWTH Aachen, Germany 0.04
German Cancer Research Center in the Helmholtz Association (DKFZ), Germany 0.04
NUS Department of Electrical and Computer Engineering (ECE), Singapore 0.04
German Consortium of Translational Cancer Research (DKTK), Germany 0.04
UCL Department of Computer Science (CS), United Kingdom (UK) 0.04
UCL Center for Medical Imaging Computing (CMIC), United Kingdom (UK) 0.04
Max Planck UCL Centre for Computational Psychiatry and Ageing Research (London Branch), United Kingdom (UK) 0.04
Kavli Neuroscience Discovery Institute (Kavli NDI), JHU, United States of America (USA) 0.04
Institute for Computational Medicine (ICM), JHU, United States of America (USA) 0.04
Department of Biomedical Engineering (BME), JHU, United States of America (USA) 0.04
Department of Neurology and Neurosurgery, McGill University, Canada 0.03
School of Computer Science (CS), McGill University, Canada 0.03
Canadian Institute for Advanced Research (CIFAR), Canada 0.03
CEA Neurospin, France 0.03
INRIA Parietal, France 0.03
McConnell Brain Imaging Center (BIC), McGill University, Canada 0.03

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