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

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

10 October 2018

Micah J. Sheller

Brandon Edwards

Spyridon Bakas

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

17 / 67 papers shown

Title
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 38 401 0 05 Apr 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 24 316 0 15 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Quande Liu Cheng Chen J. Qin Qi Dou Pheng-Ann Heng OOD FedML 35 427 0 10 Mar 2021
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning Pengfei Guo Puyang Wang Jinyuan Zhou Shanshan Jiang Vishal M. Patel FedML OOD 38 143 0 03 Mar 2021
Scaling Neuroscience Research using Federated Learning Dimitris Stripelis J. Ambite Pradeep Lam Paul M. Thompson FedML 45 28 0 16 Feb 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1) T. D. Nguyen Phillip Rieger Huili Chen Hossein Yalame Helen Mollering ... Azalia Mirhoseini S. Zeitouni F. Koushanfar A. Sadeghi T. Schneider AAML 27 26 0 06 Jan 2021
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning David Enthoven Zaid Al-Ars FedML 57 14 0 01 Jan 2021
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images Ming Y. Lu Dehan Kong Jana Lipkova Richard J. Chen Rajendra Singh Drew F. K. Williamson Tiffany Y. Chen Faisal Mahmood FedML MedIm 25 167 0 21 Sep 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 55 624 0 02 Aug 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 21 59 0 22 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 6 33 0 15 Jun 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 60 50 0 01 Apr 2020
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 28 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 15 353 0 16 Jan 2020
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 8 134 0 22 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 14 54 0 12 Oct 2019
Model-Based and Data-Driven Strategies in Medical Image Computing Daniel Rueckert J. Schnabel OOD MedIm AI4CE 28 50 0 23 Sep 2019