Niranjan Balachandar

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 12

Top Topics

Medical Imaging

Volumetric Data

Top Venues

J. Am. Medical Informatics Assoc.

IEEE Trans. Medical Imaging

Publications

Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation. MLHC (2021)
Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Daniel L. Rubin
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging. CoRR (2021)
Liangqiong Qu, Niranjan Balachandar, Daniel L. Rubin
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging. CoRR (2021)
Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation. CoRR (2021)
Angshuman Paul, Thomas C. Shen, Sungwon Lee, Niranjan Balachandar, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. IEEE Trans. Medical Imaging 40 (10) (2021)
Niranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, Daniel L. Rubin
Accounting for data variability in multi-institutional distributed deep learning for medical imaging. J. Am. Medical Informatics Assoc. 27 (5) (2020)
Niranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, Daniel L. Rubin
Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imaging. J. Am. Medical Informatics Assoc. 27 (8) (2020)
Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Niranjan Balachandar, Christine Liu, Winston Wang
Prediction of Small Molecule Kinase Inhibitors for Chemotherapy Using Deep Learning. CoRR (2019)
Niranjan Balachandar, Justin Dieter, Govardana Sachithanandam Ramachandran
Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning. CoRR (2019)
Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Distributed deep learning networks among institutions for medical imaging. J. Am. Medical Informatics Assoc. 25 (8) (2018)
Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Institutionally Distributed Deep Learning Networks. CoRR (2017)