FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

10 March 2021

Pheng-Ann Heng

Papers citing "FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space"

50 / 59 papers shown

Title
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework Jun Li Hongzhang Zhu Tao Chen Xiaohua Qian 24 4 0 12 May 2025
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization Zhuang Qi Sijin Zhou Lei Meng Han Hu Han Yu Xiangxu Meng FedML CML 75 0 0 08 May 2025
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization H. Li Zesheng Zhou Zhenbiao Cao X. Li Wei Chen X. Zhang FedML 35 0 0 05 May 2025
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans Jun Li Y. Zhang Haibo Shi Minhong Li Qiwei Li Xiaohua Qian MedIm 26 0 0 03 May 2025
Federated Out-of-Distribution Generalization: A Causal Augmentation View Runhui Zhang Sijin Zhou Zhuang Qi OOD FedML 73 1 0 28 Apr 2025
Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data Alvin Kimbowa Arjun Parmar Maziar Badii David Liu Matthew Harkey Ilker Hacihaliloglu 54 0 0 12 Mar 2025
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends Jiaxin Mei Tao Zhou Kaiwen Huang Yizhe Zhang Yi Zhou Ye Wu Huazhu Fu 149 12 0 20 Jan 2025
Federated Learning with Label-Masking Distillation Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 27 10 0 20 Sep 2024
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis Qiang Qiao Wenyu Wang Meixia Qu Kun Su Bin Jiang Qiang Guo 23 2 0 07 Sep 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation Dunyuan Xu Xi Wang Jingyang Zhang Pheng-Ann Heng MedIm CLL 93 0 0 26 Jun 2024
A deep cut into Split Federated Self-supervised Learning Marcin Przewiȩźlikowski Marcin Osial Bartosz Zieliñski Marek 'Smieja FedML 38 0 0 12 Jun 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 38 16 0 26 May 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 63 2 0 25 May 2024
Collaborative Visual Place Recognition through Federated Learning Mattia Dutto Gabriele Berton Debora Caldarola Eros Fani Gabriele Trivigno Carlo Masone FedML 27 1 0 20 Apr 2024
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation Qinghe Ma Jian Zhang Lei Qi Qian Yu Yinghuan Shi Yang Gao 41 7 0 13 Apr 2024
Domain Generalization with Small Data Kecheng Chen Elena Gal Hong Yan Haoliang Li OOD 19 5 0 09 Feb 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification Yu Zhu Kang Li Lequan Yu Pheng-Ann Heng VLM 23 0 0 22 Jan 2024
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification Tianjie Dai Ruipeng Zhang Feng Hong Jiangchao Yao Ya-Qin Zhang Yanfeng Wang 17 8 0 18 Dec 2023
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 25 12 0 05 Dec 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization Jun-Gyu Park Dong-Jun Han Jinho Kim Shiqiang Wang Christopher G. Brinton Jaekyun Moon OOD FedML 16 15 0 01 Nov 2023
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving Eros Fani Marco Ciccone Barbara Caputo FedML 16 4 0 23 Sep 2023
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment Felix Wagner Zeju Li Pramit Saha Konstantinos Kamnitsas MedIm 8 4 0 31 Aug 2023
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation Yanxin Yang Ming Hu Yue Cao Jun Xia Yihao Huang Yang Liu Mingsong Chen FedML 16 6 0 22 Aug 2023
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection Naif Alkhunaizi K. Srivatsan Faris Almalik Ibrahim Almakky Karthik Nandakumar FedML 38 1 0 20 Aug 2023
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 19 8 0 20 Aug 2023
UPFL: Unsupervised Personalized Federated Learning towards New Clients Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao FedML 15 3 0 29 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 27 12 0 11 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 35 6 0 20 Jun 2023
FACT: Federated Adversarial Cross Training Stefan Schrod Jonas Lippl Andreas Schäfer Michael Altenbuchinger FedML HILM 11 3 0 01 Jun 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 27 5 0 01 May 2023
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation Zheyu Zhang Bin Wang Lanhong Yao Ugur Demir Debesh Jha I. Turkbey Boqing Gong Ulas Bagci AAML MedIm OOD 16 11 0 05 Apr 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 35 26 0 24 Mar 2023
Adaptive Texture Filtering for Single-Domain Generalized Segmentation Xinhui Li Mingjiang Li Yaxing Wang Chuan-Xian Ren Xiaojie Guo 11 5 0 06 Mar 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 22 34 0 19 Feb 2023
Robust Knowledge Adaptation for Federated Unsupervised Person ReID Jianfeng Weng Kun Hu Tingting Yao Jingya Wang Zhiyong Wang FedML 19 2 0 18 Jan 2023
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model Shuo Shao Wenyuan Yang Hanlin Gu Zhan Qin Lixin Fan Qiang Yang Kui Ren FedML 27 27 0 14 Nov 2022
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy Rafael Martinez Garcia Peña Mansoor Ali Teevno Gilberto Ochoa-Ruiz Sharib Ali 31 3 0 09 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 24 0 0 28 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective Zhifang Deng Xiaohong Huang Dandan Li Xueguang Yuan FedML 22 0 0 06 Oct 2022
Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces Shitong Sun Chenyang Si Guile Wu S. Gong FedML 21 0 0 29 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 27 90 0 05 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 23 39 0 13 Jul 2022
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary Quande Liu Cheng Chen Qi Dou Pheng-Ann Heng OOD 43 36 0 29 Jun 2022
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites Jingyang Zhang Peng Xue Ran Gu Yuning Gu Mianxin Liu Yongsheng Pan Zhiming Cui Jiawei Huang Lei Ma Dinggang Shen CLL 17 8 0 14 Jun 2022
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation Yuxin Kang Hansheng Li Xu Zhao D. Hu Feihong Liu Lei Cui Jun Feng Lin Yang 15 7 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 25 49 0 04 May 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation An Xu Wenqi Li Pengfei Guo Dong Yang H. Roth Ali Hatamizadeh Can Zhao Daguang Xu Heng-Chiao Huang Ziyue Xu FedML 21 51 0 18 Mar 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 14 252 0 17 Mar 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 19 52 0 28 Feb 2022
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation Huifeng Yao Xiaowei Hu X. Li 9 91 0 21 Jan 2022