Federated Contrastive Learning for Decentralized Unlabeled Medical Images

15 September 2021

Papers citing "Federated Contrastive Learning for Decentralized Unlabeled Medical Images"

33 / 33 papers shown

Title
FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Ozgu Goksu Nicolas Pugeault FedML 24 0 0 04 Sep 2025
Decoupled Contrastive Learning for Federated Learning Hyungbin Kim Incheol Baek Yon Dohn Chung FedML 61 0 0 06 Aug 2025
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models Yichi Zhang Bohao Lv Le Xue Wenbo Zhang Yuchen Liu Yu Fu Yuan Cheng Yuan Qi VLM MedIm 160 3 0 28 Feb 2025
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application Gonzalo Iñaki Quintana Laurence Vancamberg Vincent Jugnon Agnès Desolneux Mathilde Mougeot MedIm 189 2 0 28 Jan 2025
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 117 1 0 31 Oct 2024
Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data Ren Ozeki Haruki Yonekura Hamada Rizk Hirozumi Yamaguchi 76 1 0 09 Aug 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 112 0 0 17 Jul 2024
A Mutual Information Perspective on Federated Contrastive Learning Christos Louizos M. Reisser Denis Korzhenkov SSL FedML 131 4 0 03 May 2024
Membership Information Leakage in Federated Contrastive Learning Kongyang Chen Wenfeng Wang Zixin Wang Wangjun Zhang Zhipeng Li Yao Huang FedML 119 1 0 06 Mar 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning Ye Lin Tun Chu Myaet Thwal Le Quang Huy Minh N. H. Nguyen Choong Seon Hong FedML 224 2 0 22 Jan 2024
BAGEL: Backdoor Attacks against Federated Contrastive Learning Yao Huang Kongyang Chen Jiannong Cao Jiaxing Shen Shaowei Wang Yun Peng Weilong Peng Kechao Cai FedML 81 3 0 14 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images Blake Vanberlo Jesse Hoey Alexander Wong SSL LM&MA 134 2 0 05 Sep 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 192 19 0 26 Jun 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 185 81 0 15 Jun 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 190 202 0 09 Jun 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 140 5 0 01 May 2023
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis Nicola K. Dinsdale M. Jenkinson Ana I. L. Namburete 116 2 0 28 Mar 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang Euijoon Ahn Da-wei Feng Jinman Kim MedIm 193 30 0 10 Feb 2023
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine Ahmad Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 118 44 0 17 Nov 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 187 139 0 09 Oct 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis Yawen Wu Dewen Zeng Zhepeng Wang Yi Sheng Lei Yang A. James Yiyu Shi Jingtong Hu 128 7 0 24 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 138 60 0 07 Aug 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 263 53 0 01 Jul 2022
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images Nanqing Dong Michael C. Kampffmeyer Irina Voiculescu OOD 87 8 0 30 Jun 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 83 29 0 27 Jun 2022
VFed-SSD: Towards Practical Vertical Federated Advertising Wenjie Li Qiaolin Xia Junfeng Deng Hao Cheng Jiangming Liu Kouying Xue Yong Cheng Shutao Xia FedML 142 8 0 31 May 2022
FedHarmony: Unlearning Scanner Bias with Distributed Data Nicola K. Dinsdale M. Jenkinson Ana I. L. Namburete FedML 83 20 0 31 May 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 177 117 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 109 61 0 04 May 2022
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity Nanqing Dong Jiayi Wang Irina Voiculescu 66 8 0 19 Apr 2022
CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning Filip Ślazyk Przemysław Jabłecki Aneta Lisowska Maciej Malawski Szymon Płotka FedML 109 9 0 11 Apr 2022
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases Hasan Kassem Deepak Alapatt Pietro Mascagni AI4SafeChole Consortium Alexandros Karargyris N. Padoy FedML 153 48 0 14 Mar 2022
Memory-aware curriculum federated learning for breast cancer classification Amelia Jiménez-Sánchez Mickael Tardy M. A. G. Ballester Diana Mateus Gemma Piella OOD 121 98 0 06 Jul 2021