Follow
Niranjan Balachandar
Niranjan Balachandar
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Distributed deep learning networks among institutions for medical imaging
K Chang*, N Balachandar*, C Lam, D Yi, J Brown, A Beers, B Rosen, ...
Journal of the American Medical Informatics Association 25 (8), 945-954, 2018
3172018
Deep convolutional neural networks for lung cancer detection
A Chon*, N Balachandar*, P Lu*
Stanford University, 2017
922017
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
YNT Vu*, R Wang*, N Balachandar*, C Liu, AY Ng, P Rajpurkar
Machine Learning for Healthcare (MLHC) 5, 1-14, 2021
752021
Computer vision-based descriptive analytics of seniors’ daily activities for long-term health monitoring
Z Luo, JT Hsieh, N Balachandar, S Yeung, G Pusiol, J Luxenberg, G Li, ...
Machine Learning for Healthcare (MLHC) 2, 1-18, 2018
682018
Accounting for data variability in multi-institutional distributed deep learning for medical imaging
N Balachandar, K Chang, J Kalpathy-Cramer, DL Rubin
Journal of the American Medical Informatics Association 27 (5), 700-708, 2020
552020
Generalized zero-shot chest x-ray diagnosis through trait-guided multi-view semantic embedding with self-training
A Paul, TC Shen, S Lee, N Balachandar, Y Peng, Z Lu, RM Summers
IEEE Transactions on Medical Imaging 40 (10), 2642-2655, 2021
312021
Differentiation of active corneal infections from healed scars using deep learning
M Tiwari, C Piech, M Baitemirova, NV Prajna, M Srinivasan, P Lalitha, ...
Ophthalmology 129 (2), 139-146, 2022
232022
An experimental study of data heterogeneity in federated learning methods for medical imaging
L Qu, N Balachandar, DL Rubin
arXiv preprint arXiv:2107.08371, 2021
192021
Handling data heterogeneity with generative replay in collaborative learning for medical imaging
L Qu, N Balachandar, M Zhang, D Rubin
Medical image analysis 78, 102424, 2022
132022
Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning
N Balachandar, J Dieter, GS Ramachandran
arXiv preprint arXiv:1907.00327, 2019
82019
Institutionally distributed deep learning networks
K Chang*, N Balachandar*, CK Lam, D Yi, JM Brown, A Beers, BR Rosen, ...
arXiv preprint arXiv:1709.05929, 2017
62017
Fitting and validation of an agent-based model for COVID-19 case forecasting in workplaces and universities
V Kumaresan, N Balachandar, SF Poole, LJ Myers, P Varghese, ...
Plos one 18 (3), e0283517, 2023
22023
Prediction of small molecule kinase inhibitors for chemotherapy using deep learning
N Balachandar, C Liu, W Wang
arXiv preprint arXiv:1907.00329, 2019
22019
Systems and Methods for Robust Federated Training of Neural Networks
N Balachandar, DL Rubin, L Qu
US Patent US-2021-0049473-A1, 2021
12021
Come-SEE: Cross-modality semantic embedding ensemble for generalized zero-shot diagnosis of chest radiographs
A Paul, TC Shen, N Balachandar, Y Tang, Y Peng, Z Lu, RM Summers
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
12020
Optimizing Distributed Deep Learning Methods for Medical Image Data Heterogeneity Across Institutions
N Balachandar, K Chang, J Kalpathy-Cramer, DL Rubin
Radiological Society of North America 2019 Scientific Assembly and Annual …, 2019
2019
Overcoming Data Variability Challenges to Federated Deep Learning for Medical Image Analysis
N Balachandar, K Chang, J Kalpathy-Cramer, DL Rubin
Conference on Machine Intelligence in Medical Imaging, 2019
2019
Statistical Coupling Analysis of Intrinsically Disordered Proteins
N Balachandar, G Alterovitz
2014
Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning
N Balachandar, JT Chua, T Redd, TM Lietman, S Thrun, CC Lin
The system can't perform the operation now. Try again later.
Articles 1–19