most citedMS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.IV2023

Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training

Lei Bai, Dongang Wang, Michael Barnett +13

Accurately measuring the evolution of Multiple Sclerosis (MS) with magnetic resonance imaging (MRI) critically informs understanding of disease progression and helps to direct ther…

eess.IV2022★ 1 cited

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning

Dongnan Liu, Mariano Cabezas, Dongang Wang +16

Federated learning (FL) has been widely employed for medical image analysis to facilitate multi-client collaborative learning without sharing raw data. Despite great success, FL's…