1. Accounting for data variability in multi-institutional distributed deep learning for medical imaging. (20th March 2020) Authors: Balachandar, Niranjan; Chang, Ken; Kalpathy-Cramer, Jayashree; Rubin, Daniel L Journal: Journal of the American Medical Informatics Association Issue: Volume 27:Number 5(2020) Page Start: 700 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imaging. (10th September 2020) Authors: Balachandar, Niranjan; Chang, Ken; Kalpathy-Cramer, Jayashree; Rubin, Daniel L Journal: Journal of the American Medical Informatics Association Issue: Volume 27:Number 8(2020) Page Start: 1340 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Distributed deep learning networks among institutions for medical imaging. (29th March 2018) Authors: Chang, Ken; Balachandar, Niranjan; Lam, Carson; Yi, Darvin; Brown, James; Beers, Andrew; Rosen, Bruce; Rubin, Daniel L; Kalpathy-Cramer, Jayashree Journal: Journal of the American Medical Informatics Association Issue: Volume 25:Number 8(2018) Page Start: 945 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗