Federated Learning for Medical Image Analysis: A Survey

9 June 2023

Papers citing "Federated Learning for Medical Image Analysis: A Survey"

30 / 30 papers shown

Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato C. Hong AI4CE 21 0 0 11 May 2025
Towards a deep learning approach for classifying treatment response in glioblastomas Ana Matoso Catarina Passarinho Marta P. Loureiro José Maria Moreira Patrícia Figueiredo Rita G. Nunes AI4CE 19 0 0 25 Apr 2025
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A systematic literature review Yuezhe Yang Boyu Yang Yaqian Wang Yang He Xingbo Dong Zhe Jin 38 0 0 15 Apr 2025
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation Ziqiao Weng Weidong (Tom) Cai Bo Zhou 51 0 0 23 Mar 2025
Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model Ziyuan Yang Yingyu Chen Z. Wang Hongming Shan Yang Chen Yi Zhang 39 1 0 02 Mar 2025
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions Youngjoon Lee J. Gong Sun Choi Joonhyuk Kang FedML Presented at ResearchTrend Connect \| FedML on 23 Apr 2025 112 1 0 27 Feb 2025
Multi-Target Federated Backdoor Attack Based on Feature Aggregation Lingguag Hao K. Hao Bing Wei Xue-song Tang FedML AAML 42 0 0 23 Feb 2025
Secure Visual Data Processing via Federated Learning Pedro Santos Tânia Carvalho Filipe Magalhães Luís Antunes FedML 51 0 0 09 Feb 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali R. Bellafqira G. Coatrieux AAML FedML 41 0 0 21 Jan 2025
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives Zeynel A. Samak Philip Clatworthy Majid Mirmehdi 68 1 0 06 Dec 2024
FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy Rishit Kapoor Jesher Joshua Muralidharan Vijayarangan Natarajan B FedML OOD 61 0 0 15 Nov 2024
A New Perspective to Boost Performance Fairness for Medical Federated Learning Yunlu Yan Lei Zhu Yuexiang Li Xinxing Xu Rick Siow Mong Goh Yong Liu Salman Khan Chun-Mei Feng FedML OOD 24 0 0 12 Oct 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 28 0 0 29 Sep 2024
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain Markus R. Bujotzek Unal Akunal Stefan Denner Peter Neher M. Zenk ... Jens Kleesiek Tobias Penzkofer Klaus H. Maier-Hein R. Braren Andreas Bucher AI4CE 29 2 0 15 May 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images Baowei Li Zhenyu Liu Lizhi Shao Bensheng Qiu Hong Bu Jie Tian OOD MedIm 19 6 0 11 Dec 2023
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI Lintao Zhang Jinjian Wu Lihong Wang Li Wang David C. Steffens S. Qiu G. Potter Mingxia Liu MedIm AI4CE 14 0 0 20 Jun 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications Yacine Belal Sonia Ben Mokhtar Hamed Haddadi Jaron Wang A. Mashhadi FedML 25 9 0 09 May 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
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification Tianpeng Deng Yanqi Huang Guoqiang Han Zhenwei Shi Jiatai Lin Qianming Dou Zaiyi Liu Xiaohui Guo Xin Chen Chu Han FedML 40 6 0 24 Feb 2023
Federated Stain Normalization for Computational Pathology Nicolas Wagner Moritz Fuchs Yuri Tolkach Anirban Mukhopadhyay OOD FedML MedIm 33 11 0 29 Sep 2022
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis Hao Guan Mingxia Liu OOD 20 11 0 24 Sep 2022
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images Nanqing Dong Michael C. Kampffmeyer Irina Voiculescu OOD 19 6 0 30 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 70 86 0 17 May 2022
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations Kaidong Li M. I. Fathan Krushi Patel Tianxiao Zhang Cuncong Zhong A. Bansal A. Rastogi Jean S. Wang Guanghui Wang 102 95 0 22 Apr 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 183 840 0 01 Mar 2021
Scaling Neuroscience Research using Federated Learning Dimitris Stripelis J. Ambite Pradeep Lam Paul M. Thompson FedML 37 28 0 16 Feb 2021
Dopamine: Differentially Private Federated Learning on Medical Data Mohammad Malekzadeh Burak Hasircioglu N. Mital K. Katarya M. E. Ozfatura Deniz Gündüz OOD FedML 16 51 0 27 Jan 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 169 355 0 07 Dec 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 1,698 0 18 Mar 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,599 0 19 Feb 2017