Niranjan Balachandar

12 papers Journal 10Unranked 2

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