794 citations · 2.4k across the 85 of their papers we have counts for
4 papers · 1 filter
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…
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…
Content Adaptive and Error Propagation Aware Deep Video Compression
Guo Lu, Chunlei Cai, Xiaoyun Zhang +4
Recently, learning based video compression methods attract increasing attention. However, the previous works suffer from error propagation due to the accumulation of reconstructed…
DVC: An End-to-end Deep Video Compression Framework
Guo Lu, Wanli Ouyang, Dong Xu +3
Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information. In this paper, taking adv…