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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

* Accepted as oral presentation in Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract ; 6 pages and 4 figures 

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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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