Federated Contrastive Learning for Volumetric Medical Image Segmentation

Federated Contrastive Learning for Volumetric Medical Image Segmentation

23 April 2022

Papers citing "Federated Contrastive Learning for Volumetric Medical Image Segmentation"

18 / 18 papers shown

Title
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application Gonzalo Iñaki Quintana Laurence Vancamberg Vincent Jugnon Agnès Desolneux Mathilde Mougeot MedIm 54 1 0 28 Jan 2025
Membership Information Leakage in Federated Contrastive Learning Kongyang Chen Wenfeng Wang Zixin Wang Wangjun Zhang Zhipeng Li Yao Huang FedML 30 1 0 06 Mar 2024
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng Shaoyi Huang Tong Zhou Yukui Luo Chenghong Wang ... Tony Geng Kaleel Mahmood Wujie Wen Xiaolin Xu Caiwen Ding OffRL 47 38 0 20 Aug 2023
Semi-Supervised Relational Contrastive Learning Attiano Purpura-Pontoniere D. Terzopoulos Adam S. Wang A. Imran SSL 15 1 0 11 Apr 2023
On-Device Unsupervised Image Segmentation Junhuan Yang Yi Sheng Yu-zhao Zhang Weiwen Jiang Lei Yang 28 12 0 24 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang Euijoon Ahn Da-wei Feng Jinman Kim MedIm 27 27 0 10 Feb 2023
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization Gelei Xu Yawen Wu Jingtong Hu Yiyu Shi FedML 27 2 0 23 Aug 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
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model Haoteng Tang Guixiang Ma Lei Guo Xiyao Fu Heng-Chiao Huang Li Zhang 24 24 0 14 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision Sanat Ramesh V. Srivastav Deepak Alapatt Tong Yu Aditya Murali ... Saurav Sharma A. Fleurentin Georgios Exarchakis Alexandros Karargyris N. Padoy 23 42 0 01 Jul 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 25 23 0 27 Jun 2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang Wenjun Xia Zexin Lu Yingyu Chen Xiaoxia Li Yi Zhang FedML OOD 16 28 0 08 Jun 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging Rui Yan Liangqiong Qu Qingyue Wei Shih-Cheng Huang Liyue Shen D. Rubin Lei Xing Yuyin Zhou FedML 78 90 0 17 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 35 49 0 04 May 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning Yawen Wu Dewen Zeng Zhepeng Wang Yi Sheng Lei Yang A. James Yiyu Shi Jingtong Hu FedML 22 31 0 14 Feb 2022
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You T. Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 28 134 0 18 Oct 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 1,707 0 18 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020