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Niranjan Balachandar

Showing results (1-10 of 6) with videos related to

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Medical Image Analysis|April 7, 2022
Handling data heterogeneity with generative replay in collaborative learning for medical imagingLiangqiong Qu, Niranjan Balachandar, Miao Zhang, et al.
Journal of the American Medical Informatics Association : JAMIA|March 21, 2020
Accounting for data variability in multi-institutional distributed deep learning for medical imagingNiranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, et al.
IEEE Transactions on Medical Imaging|February 1, 2021
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-TrainingAngshuman Paul, Thomas C Shen, Sungwon Lee, et al.
Plos One|March 23, 2023
Fitting and validation of an agent-based model for COVID-19 case forecasting in workplaces and universitiesVignesh Kumaresan, Niranjan Balachandar, Sarah F Poole, et al.
Journal of the American Medical Informatics Association : JAMIA|April 5, 2018
Distributed deep learning networks among institutions for medical imagingKen Chang, Niranjan Balachandar, Carson Lam, et al.
Ophthalmology|August 5, 2021
Differentiation of Active Corneal Infections from Healed Scars Using Deep LearningMo Tiwari, Chris Piech, Medina Baitemirova, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|April 7, 2022
Handling data heterogeneity with generative replay in collaborative learning for medical imagingLiangqiong Qu, Niranjan Balachandar, Miao Zhang, et al.
Journal of the American Medical Informatics Association : JAMIA|March 21, 2020
Accounting for data variability in multi-institutional distributed deep learning for medical imagingNiranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, et al.
IEEE Transactions on Medical Imaging|February 1, 2021
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-TrainingAngshuman Paul, Thomas C Shen, Sungwon Lee, et al.
Plos One|March 23, 2023
Fitting and validation of an agent-based model for COVID-19 case forecasting in workplaces and universitiesVignesh Kumaresan, Niranjan Balachandar, Sarah F Poole, et al.
Journal of the American Medical Informatics Association : JAMIA|April 5, 2018
Distributed deep learning networks among institutions for medical imagingKen Chang, Niranjan Balachandar, Carson Lam, et al.
Ophthalmology|August 5, 2021
Differentiation of Active Corneal Infections from Healed Scars Using Deep LearningMo Tiwari, Chris Piech, Medina Baitemirova, et al.
Pageof 1