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ORCIDNiranjan Balachandar
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2020 – today
- 2021
[j4]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): 2642-2655 (2021)- [c2]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: 755-769 - [i6]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 abs/2102.10663 (2021) - [i5]Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Daniel L. Rubin:
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging. CoRR abs/2106.13208 (2021) - [i4]Liangqiong Qu, Niranjan Balachandar, Daniel L. Rubin:
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging. CoRR abs/2107.08371 (2021) - 2020
- [j3]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): 700-708 (2020) - [j2]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): 1340 (2020) - [c1]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: 103-111
2010 – 2019
- 2019
- [i3]Niranjan Balachandar, Justin Dieter, Govardana Sachithanandam Ramachandran:
Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning. CoRR abs/1907.00327 (2019) - [i2]Niranjan Balachandar, Christine Liu, Winston Wang:
Prediction of Small Molecule Kinase Inhibitors for Chemotherapy Using Deep Learning. CoRR abs/1907.00329 (2019) - 2018
- [j1]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): 945-954 (2018) - 2017
- [i1]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 abs/1709.05929 (2017)
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