FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology
Segmentation

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation

5 March 2021

Cosmin I. Bercea

Benedikt Wiestler

Daniel Rueckert

Shadi Albarqouni

Papers citing "FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation"

9 / 9 papers shown

Title
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection Yassine Habchi Hamza Kheddar Yassine Himeur Adel Belouchrani Erchin Serpedin Fouad Khelifi Muhammad E.H. Chowdhury LM&MA 46 0 0 30 Mar 2025
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 48 1 0 15 Sep 2024
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 29 39 0 05 Oct 2022
Distributed Contrastive Learning for Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 52 48 0 07 Aug 2022
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis Onat Dalmaz Muhammad Usama Mirza Gokberk Elmas Muzaffer Özbey S. Dar Emir Ceyani Salman Avestimehr Tolga cCukur MedIm 31 39 0 13 Jul 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving Lidia Fantauzzo Eros Fani Debora Caldarola A. Tavera Fabio Cermelli Marco Ciccone Barbara Caputo FedML 36 52 0 28 Feb 2022
Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm R. Bandyopadhyay Rohit Kundu Diego Oliva R. Sarkar 6 34 0 17 Sep 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,712 0 18 Mar 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 337 10,633 0 19 Feb 2017