Federated Semi-supervised Medical Image Classification via Inter-client
Relation Matching

Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching

16 June 2021

Pheng-Ann Heng

Papers citing "Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching"

17 / 17 papers shown

Title
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios Geng Chen Qingyue Wang I. Rekik 26 0 0 14 Mar 2024
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation Yaxuan Song Jianan Fan Dongnan Liu Weidong Cai 21 0 0 09 Feb 2024
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification Marawan Elbatel Hualiang Wang Robert Martí H. Fu X. Li FedML 32 8 0 27 Jul 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 29 5 0 01 May 2023
Scale Federated Learning for Label Set Mismatch in Medical Image Classification Zhipeng Deng Luyang Luo Hao Chen FedML 11 1 0 14 Apr 2023
Semi-Supervised Relational Contrastive Learning Attiano Purpura-Pontoniere D. Terzopoulos Adam S. Wang A. Imran SSL 10 1 0 11 Apr 2023
Dual Class-Aware Contrastive Federated Semi-Supervised Learning Qianling Guo Yong Qi Saiyu Qi Di Wu FedML 21 5 0 16 Nov 2022
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance Meirui Jiang Hongzheng Yang Xiaoxiao Li Quande Liu Pheng-Ann Heng Qi Dou FedML 17 27 0 27 Jun 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning Yanhang Shi Siguang Chen Haijun Zhang FedML 21 8 0 05 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 27 49 0 04 May 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning Xiaoxiao Liang Yiqun Lin H. Fu Lei Zhu X. Li FedML 8 48 0 26 Mar 2022
Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng Yu-bao Yan Shanshan Wang Yong Xu Ling Shao H. Fu OOD 24 78 0 09 Dec 2021
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models Zhengming Zhang Yaoqing Yang Z. Yao Yujun Yan Joseph E. Gonzalez Michael W. Mahoney FedML 31 36 0 26 Aug 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection Dong Wang Yuan Zhang Kexin Zhang Liwei Wang 79 118 0 20 Mar 2020
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 1,703 0 18 Mar 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,275 0 06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015