21 citations · 24 across the 3 of their papers we have counts for
3 papers
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe, Stefan Duffner, Carole Lartizien
Recently, federated learning has raised increasing interest in the medical image analysis field due to its ability to aggregate multi-center data with privacy-preserving properties…
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation
Matthis Manthe, Carole Lartizien, Stefan Duffner
Empirical studies show that federated learning exhibits convergence issues in Non Independent and Identically Distributed (IID) setups. However, these studies only focus on label d…
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation
Matthis Manthe, Stefan Duffner, Carole Lartizien
Federated learning and its application to medical image segmentation have recently become a popular research topic. This training paradigm suffers from statistical heterogeneity be…