Institutionally Distributed Deep Learning Networks. - Ken Chang; Niranjan Balachandar; Carson K. Lam; Darvin Yi; James M. Brown 001; Andrew Beers; Bruce R. Rosen; Daniel L. Rubin; Jayashree Kalpathy-Cramer (CoRR, 2017)

Distributed deep learning networks among institutions for medical imaging. - Ken Chang; Niranjan Balachandar; Carson K. Lam; Darvin Yi; James M. Brown 001; Andrew Beers; Bruce R. Rosen; Daniel L. Rubin; Jayashree Kalpathy-Cramer (J. Am. Medical Informatics Assoc., 2018)

Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning. - Niranjan Balachandar; Justin Dieter; Govardana Sachithanandam Ramachandran (CoRR, 2019)

Prediction of Small Molecule Kinase Inhibitors for Chemotherapy Using Deep Learning. - Niranjan Balachandar; Christine Liu; Winston Wang (CoRR, 2019)

COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. - Angshuman Paul; Thomas C. Shen; Niranjan Balachandar; Yuxing Tang; Yifan Peng 002; Zhiyong Lu; Ronald M. Summers (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Accounting for data variability in multi-institutional distributed deep learning for medical imaging. - Niranjan Balachandar; Ken Chang; Jayashree Kalpathy-Cramer; Daniel L. Rubin (J. Am. Medical Informatics Assoc., 2020)

Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imaging. - Niranjan Balachandar; Ken Chang; Jayashree Kalpathy-Cramer; Daniel L. Rubin (J. Am. Medical Informatics Assoc., 2020)

MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation. - Yen Nhi Truong Vu; Richard Wang; Niranjan Balachandar; Can Liu; Andrew Y. Ng; Pranav Rajpurkar (MLHC, 2021)

Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging. - Liangqiong Qu; Niranjan Balachandar; Miao Zhang; Daniel L. Rubin (CoRR, 2021)

An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging. - Liangqiong Qu; Niranjan Balachandar; Daniel L. Rubin (CoRR, 2021)

Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. - Angshuman Paul; Thomas C. Shen; Sungwon Lee 003; Niranjan Balachandar; Yifan Peng 002; Zhiyong Lu; Ronald M. Summers (IEEE Trans. Medical Imaging, 2021)