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FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation

Tobias Bernecker
Annette Peters
C. Schlett
F. Bamberg
Fabian J. Theis
Daniel Rueckert
J. Weiss
Shadi Albarqouni
ArXiv (abs)PDFHTML

Papers citing "FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation"

2 / 2 papers shown
Title
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
102
14
0
10 May 2023
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
155
106
0
05 Aug 2022

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