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2205.01509
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MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
3 May 2022
Dongnan Liu
Mariano Cabezas
Dongang Wang
Zihao Tang
Lei Bai
Geng Zhan
Yulin Luo
K. Kyle
L. Ly
James Yu
C. Shieh
Aria Nguyen
E. Karuppiah
Ryan Sullivan
Fernando Calamante
Michael Barnett
Wanli Ouyang
Weidong (Tom) Cai
Chenyu Wang
FedML
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Papers citing
"MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning"
4 / 4 papers shown
Title
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation
Li Lin
Jiewei Wu
Yixiang Liu
Kenneth K. Y. Wong
Xiaoying Tang
FedML
32
6
0
12 Apr 2023
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation
Muhammad Irfan Khan
Mohammad Ayyaz Azeem
E. Alhoniemi
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
31
3
0
30 Jan 2023
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
790
0
15 Feb 2021
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
M. Bergkamp
Joost Wissink
...
K. Keizer
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
MedIm
212
123
0
24 Oct 2016
1