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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"

23 / 123 papers shown

Title
Blockchain-based Federated Learning for Device Failure Detection in Industrial IoT Weishan Zhang Qinghua Lu Qiuyu Yu Zhaotong Li Yue Liu Sin Kit Lo Shiping Chen Xiwei Xu Liming Zhu 75 6 0 06 Sep 2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy Chandra Thapa S. Çamtepe 47 213 0 24 Aug 2020
Inverse Distance Aggregation for Federated Learning with Non-IID Data Yousef Yeganeh Azade Farshad Nassir Navab Shadi Albarqouni OOD 70 84 0 17 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 220 650 0 02 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 271 579 0 27 Jul 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 86 60 0 22 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 161 85 0 22 Jul 2020
MeDaS: An open-source platform as service to help break the walls between medicine and informatics Liang Zhang Johann Li Ping Li Xiaoyuan Lu Peiyi Shen Guangming Zhu Syed Afaq Ali Shah Bennamoun Kun Qian Björn W. Schuller MedIm 67 6 0 12 Jul 2020
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention Ce Ju Ruihui Zhao Jichao Sun Xiguang Wei Bo Zhao ... Dashan Gao Ben Tan Han Yu Chuning He Yuan Jin FedML OOD 80 34 0 15 Jun 2020
Have you forgotten? A method to assess if machine learning models have forgotten data Xiao Liu Sotirios A. Tsaftaris FedML OOD MU 61 27 0 21 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 93 51 0 01 Apr 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 116 29 0 26 Mar 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 284 1,812 0 18 Mar 2020
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 116 3 0 18 Feb 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 118 364 0 16 Jan 2020
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 71 135 0 22 Oct 2019
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions Tom Vercauteren Mathias Unberath N. Padoy Nassir Navab 120 112 0 20 Oct 2019
A blockchain-orchestrated Federated Learning architecture for healthcare consortia Jonathan Passerat-Palmbach Tyler Farnan Robert C Miller M. Gross H. Flannery Bill Gleim FedML 53 54 0 12 Oct 2019
Privacy-preserving Federated Brain Tumour Segmentation Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox ... Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso Andrew Feng FedML 81 484 0 02 Oct 2019
Model-Based and Data-Driven Strategies in Medical Image Computing Daniel Rueckert Julia A. Schnabel OOD MedIm AI4CE 62 50 0 23 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 187 4,584 0 21 Aug 2019
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning Abhijit Guha Roy Shayan Siddiqui Sebastian Polsterl Nassir Navab Christian Wachinger FedML OOD MedIm 95 309 0 16 May 2019
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern Menze 228 1,037 0 13 Jan 2019