Niranjan Balachandar

Author

Stanford University ORCID

Also Known As

Balachandar, Niranjan, N Balachandar, N. Balachandar, Niranjan Balachandar

Publications

608

Citations

H-Index

Concepts

All Affiliations

Stanford University Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging

About

Niranjan Balachandar is an author at Stanford University specializing in medical image computing, medical imaging, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	112
2	Data Science	4	4	112
3	Health Sciences	3	3	97
4	Computer Science	3	3	85
5	Medicine	2	2	69

Niranjan Balachandar

Publications

554

Citations

H-Index

Page 1

	Year	Citations
Distributed deep learning networks among institutions for medical imaging Ken Chang, Niranjan Balachandar, Carson Lam, Journal of the American Medical Informatics Association	2018	339
Accounting for data variability in multi-institutional distributed deep learning for medical imaging Niranjan Balachandar, Ken Chang, Jayashree Kalpathy–Cramer, Journal of the American Medical Informatics Association	2020	61
Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning Mohit Tiwari, Chris Piech, Medina Baitemirova, Ophthalmology OphthalmologyCorneal DystrophyWound HealingOcular PathologyDermatology	2021	42
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training Angshuman Paul, Thomas C. Shen, Sungwon Lee, IEEE Transactions on Medical Imaging Few-shot LearningMultiple Instance LearningEngineeringMachine LearningDiagnosis	2021	40
Handling data heterogeneity with generative replay in collaborative learning for medical imaging Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Medical Image Analysis Artificial IntelligenceEngineeringMachine LearningData ScienceMedical Imaging	2022	30
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, arXiv (Cornell University) Multiple Instance LearningEngineeringMachine LearningDiagnostic ImagingImage Analysis	2021	27
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging Liangqiong Qu, Niranjan Balachandar, Daniel L. Rubin arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningFederated StructureData Science	2021	15

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