Niranjan Balachandar

According to our database, Niranjan Balachandar authored at least 11 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Niranjan Balachandar, Yifan Peng, Zhiyong Lu, Ronald M. Summers

IEEE Trans. Medical Imaging, 2021

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

Liangqiong Qu, Niranjan Balachandar, Daniel L. Rubin

CoRR, 2021

Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging.

Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Daniel L. Rubin

CoRR, 2021

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

Proceedings of the Machine Learning for Healthcare Conference, 2021

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

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

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, Zhiyong Lu, Ronald M. Summers

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019

Prediction of Small Molecule Kinase Inhibitors for Chemotherapy Using Deep Learning.

Niranjan Balachandar, Christine Liu, Winston Wang

CoRR, 2019

Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning.

Niranjan Balachandar, Justin Dieter, Govardana Sachithanandam Ramachandran

CoRR, 2019

2018

Distributed deep learning networks among institutions for medical imaging.

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

J. Am. Medical Informatics Assoc., 2018

2017

Institutionally Distributed Deep Learning Networks.

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

CoRR, 2017