Sharut Gupta

发表

Federated Learning for Breast Density Classification: A Real-World Implementation pdf

Daguang Xu, Jesse Tetreault, Ahmed Harouni, 2020, DART/DCL@MICCAI.

Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation

S. Matwin, Mohammad Havaei, Farshid Varno, 2022, ArXiv.

FL Games: A federated learning framework for distribution shifts

Y. Bengio, N. Chatterjee, Mohammad Havaei, 2022, ArXiv.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results

Bjoern H Menze, Minh H. Vu, Nisarg A. Shah, 2021, The journal of machine learning for biomedical imaging.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results pdf

Christos Davatzikos, Gowtham Krishnan Murugesan, Chandan Ganesh, 2021, ArXiv.

Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks

Praveer Singh, B. Rosen, Jayashree Kalpathy-Cramer, 2020, BrainLes@MICCAI.

Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19

Matthew D. Li, Praveer Singh, Jayashree Kalpathy-Cramer, 2022, Medicine.

Computational techniques in biomedical image analysis: overview

Deepika Koundal, Virender Kadyan, Sharut Gupta, 2020 .

Federated Learning for Breast Density Classification: A Real-World Implementation

Colin B. Compas, Richard D. White, Mona G. Flores, 2020, DART/DCL@MICCAI.

Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning

Soumya Banerjee, Samia Bouzefrane, Mamoudou Sangare, 2020, Expert Syst. Appl..

Addressing catastrophic forgetting for medical domain expansion pdf

Daniel L. Rubin, Jayashree Kalpathy-Cramer, Mishka Gidwani, 2021, ArXiv.

Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data.

Praveer Singh, Jayashree Kalpathy-Cramer, Charles Lu, 2023, Radiographics : a review publication of the Radiological Society of North America, Inc.

The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions pdf

Jayashree Kalpathy-Cramer, Daniel L Rubin, Mishka Gidwani, 2020, ArXiv.

Learning Structured Representations with Equivariant Contrastive Learning

S. Jegelka, Soledad Villar, Sharut Gupta, 2023 .

Towards Trainable Saliency Maps in Medical Imaging pdf

Jayashree Kalpathy-Cramer, Bryan Chen, Mishka Gidwani, 2020, ArXiv.

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation

S. Matwin, Mohammad Havaei, Farshid Varno, 2022, ECCV.

Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.

Matthew D. Li, Praveer Singh, Jayashree Kalpathy-Cramer, 2021, Radiology. Artificial intelligence.