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Daniel L Rubin

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An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging

Jul 18, 2021
Liangqiong Qu, Niranjan Balachandar, Daniel L Rubin

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The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions

Nov 16, 2020
Sharut Gupta, Praveer Singh, Ken Chang, Mehak Aggarwal, Nishanth Arun, Liangqiong Qu, Katharina Hoebel, Jay Patel, Mishka Gidwani, Ashwin Vaswani, Daniel L Rubin, Jayashree Kalpathy-Cramer

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Institutionally Distributed Deep Learning Networks

Sep 10, 2017
Ken Chang, Niranjan Balachandar, Carson K Lam, Darvin Yi, James M Brown, Andrew Beers, Bruce R Rosen, Daniel L Rubin, Jayashree Kalpathy-Cramer

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Piecewise convexity of artificial neural networks

Dec 28, 2016
Blaine Rister, Daniel L Rubin

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