Anjishnu Banerjee

According to our database, Anjishnu Banerjee authored at least 6 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss.

Hengrui Hu, Anai N. Kothari, Anjishnu Banerjee

CoRR, April, 2025

2024

Stronger Baseline Models - A Key Requirement for Aligning Machine Learning Research with Clinical Utility.

Nathan Wolfrath, Joel Wolfrath, Hengrui Hu, Anjishnu Banerjee, Anai N. Kothari

CoRR, 2024

Personalized Federated Learning for Gastric Cancer: Adaptive Inference from Large Heterogeneous Piecewise Electronic Health Record Based Biomedical Data.

Hengrui Hu, Anai N. Kothari, Anjishnu Banerjee

Proceedings of the IEEE International Conference on Big Data, 2024

2021

Co-registration tool for large format whole mount prostate multi-plex histology.

Michael Brehler, Allison K. Lowman, Samuel Bobholz, Sean D. McGarry, Anjishnu Banerjee, Kenneth A. Iczkowski, Peter S. LaViolette

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

2019

Classification before Segmentation: Improved U-Net Prostate Segmentation.

Ronald J. Nowling, John Bukowy, Sean D. McGarry, Andrew S. Nencka, Oliver Blasko, Jay Urbain, Allison K. Lowman, Alexander Barrington, Anjishnu Banerjee, Kenneth A. Iczkowski, Peter S. LaViolette

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2013

Bayesian learning of joint distributions of objects.

Anjishnu Banerjee, Jared Murray, David B. Dunson

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013