FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation

4 May 2022

Xin Yang

Papers citing "FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation"

22 / 22 papers shown

Title
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation Siladittya Manna Suresh Das Sayantari Ghosh Saumik Bhattacharya FedML 37 0 0 30 Mar 2025
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation C. Shiranthika Zahra Hafezi Kafshgari Hadi Hadizadeh Parvaneh Saeedi FedML 40 0 0 26 Mar 2025
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching Nannan Wu Zhuo Kuang Zengqiang Yan Ping Wang Li Yu FedML 49 0 0 12 Mar 2025
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation Grzegorz Skorupko Fotios Avgoustidis Carlos Martín-Isla Lidia Garrucho Dimitri A. Kessler ... Katarzyna Gwo'zdziewicz Xavier Bargalló Paulius Jaruševičius Kaisar Kushibar Karim Lekadir FedML 91 0 0 04 Mar 2025
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning Minjun Kim Minjee Kim Jinhoon Jeong FedML MedIm OOD 64 0 0 16 Dec 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 27 4 0 07 Oct 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection Jiaqi Wang Xiaochen Wang Lingjuan Lyu Jinghui Chen Fenglong Ma 72 3 0 17 Aug 2024
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery Jialang Xu Jiacheng Wang Lequan Yu Danail Stoyanov Yueming Jin E. Mazomenos 18 1 0 06 Aug 2024
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions Shivam Gupta Tarushi Tsering Wangzes Shweta Jain FedML 20 0 0 05 Jul 2024
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation Li Lin Yixiang Liu Jiewei Wu Pujin Cheng Zhiyuan Cai Kenneth K. Y. Wong Xiaoying Tang FedML 29 6 0 27 Feb 2024
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 16 8 0 20 Aug 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 14 110 0 09 Jun 2023
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations Zahra Hafezi Kafshgari C. Shiranthika Parvaneh Saeedi Ivan V. Bajić FedML 11 6 0 28 Apr 2023
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling Xuzhe Zhang Yu-Hsun Wu S. Entringer H. Simhan Jia Guo ... A. Jackowski Haifeng Li J. Posner Andrew F. Laine Yun Wang OOD 13 11 0 16 Mar 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 14 3 0 30 Jan 2023
Federated Multi-organ Segmentation with Inconsistent Labels Xuanang Xu H. Deng J. Gateno Pingkun Yan FedML 26 21 0 14 Jun 2022
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation Simon Reiß C. Seibold Alexander Freytag E. Rodner Rainer Stiefelhagen 76 60 0 27 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 203 501 0 15 Jan 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 1,690 0 18 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 488 0 05 Mar 2020
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 39 185 0 11 Jun 2018
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 211 739 0 28 Mar 2018