v1v2 (latest)

Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

10 October 2018

Spyridon Bakas

Papers citing "Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation"

50 / 123 papers shown

Title
TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data Yuping Yan Yizhi Wang Yuanshuai Li Yaochu Jin FedML 16 0 0 20 Jun 2025
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck Ciro Benito Raggio P. Zaffino M. Spadea MedIm 36 0 0 10 Jun 2025
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning M. Y. Jabarulla T. Uden Thomas Jack P. Beerbaum S. Oeltze-jafra 88 2 0 15 Nov 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 113 0 0 29 Sep 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 163 5 0 15 Sep 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning Yuxin Yang Qiang Li Chenfei Nie Yuan Hong Meng Pang Binghui Wang AAML FedML 101 1 0 21 Jul 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 138 7 0 19 May 2024
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning Haoyue Song Jiacheng Wang Liansheng Wang 72 0 0 17 May 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer Sebastian Pokutta AAML 150 1 0 19 Feb 2024
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks Jorge Castillo Phillip Rieger Hossein Fereidooni Qian Chen Ahmad Sadeghi FedML AAML 80 8 0 03 Oct 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration Yixing Huang Christoph Bert Rostislav Makarov Alexander Alenin Andreas Maier F. Putz FedML CLL 61 1 0 29 Sep 2023
Federated Learning for Computer Vision Yassine Himeur Iraklis Varlamis Hamza Kheddar Abbes Amira Shadi Atalla Yashbir Singh F. Bensaali W. Mansoor FedML 88 21 0 24 Aug 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 227 99 0 27 Jun 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 130 140 0 09 Jun 2023
Client Recruitment for Federated Learning in ICU Length of Stay Prediction Vincent Scheltjens Lyse Naomi Wamba Momo Wouter Verbeke B. De Moor OOD FedML 54 1 0 28 Apr 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan Yunsheng Ma Lu Su Ziran Wang FedML 101 26 0 14 Apr 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 101 14 0 16 Mar 2023
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation F. Santini Jakob Wasserthal Abramo Agosti X. Deligianni K. Keene ... C. Weidensteiner G. Manco Matteo Paoletti Valentina Mazzoli Arjun D Desai FedML MedIm 235 9 0 13 Feb 2023
Federated Learning -- Methods, Applications and beyond Moritz Heusinger Christoph Raab Fabrice Rossi Frank-Michael Schleif FedML OOD 53 5 0 22 Dec 2022
Membership Inference Attacks Against Semantic Segmentation Models Tomás Chobola Dmitrii Usynin Georgios Kaissis MIACV 68 6 0 02 Dec 2022
NVIDIA FLARE: Federated Learning from Simulation to Real-World H. Roth Yan Cheng Yuhong Wen Isaac Yang Ziyue Xu ... Daguang Xu Nic Ma Prerna Dogra Mona G. Flores Andrew Feng FedML AI4CE 106 101 0 24 Oct 2022
Review learning: Real world validation of privacy preserving continual learning across medical institutions Jaesung Yoo Sung-Hyuk Choi Yewon Yang Suhyeon Kim J. Choi ... H. J. Joo Dae-Jung Kim R. Park Hyeong-Jin Yoon Kwangsoo Kim OffRL KELM 86 0 0 17 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng ... Arun Innanje Terrence Chen Junsong Yuan David Doermann Ziyan Wu FedML 87 28 0 16 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 104 22 0 14 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 133 159 0 10 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective Zhifang Deng Xiaohong Huang Dandan Li Xueguang Yuan FedML 70 0 0 06 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 92 39 0 05 Oct 2022
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption L. Pilla 61 15 0 13 Sep 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Xuan Gong Abhishek Sharma Srikrishna Karanam Ziyan Wu Terrence Chen David Doermann Arun Innanje FedML 85 79 0 10 Sep 2022
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals Daniel Gutiérrez Hafiz Muuhammad Hassan Lorella Landi A. Vitaletti I. Chatzigiannakis FedML 65 15 0 23 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 107 52 0 07 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 155 106 0 05 Aug 2022
Decentralized Machine Learning for Intelligent Health Care Systems on the Computing Continuum Dragi Kimovski Sasko Ristov R.-C. Prodan 29 1 0 29 Jul 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation Sungwon Han Sungwon Park Fangzhao Wu Sundong Kim Chuhan Wu Xing Xie M. Cha FedML 98 58 0 19 Jul 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 138 42 0 13 Jul 2022
Personalizing Federated Medical Image Segmentation via Local Calibration Jiacheng Wang Yueming Jin Liansheng Wang FedML 75 33 0 11 Jul 2022
Mechanisms that Incentivize Data Sharing in Federated Learning Sai Praneeth Karimireddy Wenshuo Guo Michael I. Jordan FedML 95 50 0 10 Jul 2022
Smart Multi-tenant Federated Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 96 2 0 09 Jul 2022
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN R. V. Bergen Jean-Francois Rajotte F. Yousefirizi Arman Rahmim R. Ng MedIm 67 1 0 13 Jun 2022
FedHarmony: Unlearning Scanner Bias with Distributed Data Nicola K. Dinsdale M. Jenkinson Ana I. L. Namburete FedML 55 17 0 31 May 2022
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 127 26 0 24 May 2022
Secure & Private Federated Neuroimaging Dimitris Stripelis Umang Gupta Hamza Saleem Nikhil J. Dhinagar Tanmay Ghai ... Greg Ver Steeg Yu Yang Muhammad Naveed Paul M. Thompson J. Ambite FedML OOD 71 2 0 11 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 85 53 0 04 May 2022
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification Yixing Huang Christoph Bert Stefan Fischer Manuel Schmidt Arnd Dörfler Andreas Maier R. Fietkau F. Putz FedML CLL OOD MedIm 81 17 0 26 Apr 2022
Analysing the Influence of Attack Configurations on the Reconstruction of Medical Images in Federated Learning M. Dahlgaard Morten Wehlast Jorgensen N. Fuglsang Hiba Nassar FedML AAML 72 2 0 25 Apr 2022
Federated Contrastive Learning for Volumetric Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 87 60 0 23 Apr 2022
Federated Learning Enables Big Data for Rare Cancer Boundary Detection Sarthak Pati Ujjwal Baid Brandon Edwards Micah J. Sheller Shih-Han Wang ... Prashant Shah Bjoern Menze J. Barnholtz-Sloan Jason Martin Spyridon Bakas FedML AI4CE 128 223 0 22 Apr 2022
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes Ujjwal Baid Sarthak Pati Tahsin M. Kurc Rajarsi R. Gupta Erich Bremer Shahira Abousamra Siddhesh P. Thakur Joel H. Saltz Spyridon Bakas FedML 78 16 0 30 Mar 2022
Asynchronous Collaborative Learning Across Data Silos Tiffany Tuor J. Lockhart Daniele Magazzeni FedML 72 3 0 23 Mar 2022
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases Hasan Kassem Deepak Alapatt Pietro Mascagni AI4SafeChole Consortium Alexandros Karargyris N. Padoy FedML 75 41 0 14 Mar 2022