Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease

7 July 2021

Papers citing "Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease"

24 / 24 papers shown

Title
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge A. Qayyum Kashif Ahmad Muhammad Ahtazaz Ahsan Ala I. Al-Fuqaha Junaid Qadir FedML 64 189 0 19 Jan 2021
Dynamic Fusion based Federated Learning for COVID-19 Detection Weishan Zhang Tao Zhou Qinghua Lu Xiao Wang Chunsheng Zhu Haoyun Sun Zhipeng Wang Sin Kit Lo Fei-Yue Wang FedML MedIm 42 208 0 22 Sep 2020
Federated Learning for Breast Density Classification: A Real-World Implementation H. Roth Ken Chang Praveer Singh N. Neumark Wenqi Li ... I. Dayan R. Naidu Mona G. Flores D. Rubin Jayashree Kalpathy-Cramer OOD FedML AI4CE 27 164 0 03 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 95 631 0 02 Aug 2020
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging R. Kumar A. Khan Sinmin Zhang Jay Kumar Wenyong Wang Yousif Abuidris Zakria Waqas Amin Sidra Shafiq WenYong Wang OOD FedML 49 326 0 10 Jul 2020
Experiments of Federated Learning for COVID-19 Chest X-ray Images Boyi Liu Bingjie Yan Yize Zhou Yifan Yang Yixian Zhang OOD FedML 42 153 0 05 Jul 2020
3D Deep Learning on Medical Images: A Review S. Singh Lipo Wang Sukrit Gupta Haveesh Goli P. Padmanabhan Balázs Gulyás MedIm 56 423 0 01 Apr 2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 182 430 0 09 Mar 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 56 353 0 16 Jan 2020
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 36 341 0 17 Dec 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 64 475 0 02 Oct 2019
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI Irem Cetin G. Sanromá S. Petersen S. Napel Oscar Camara M. A. G. Ballester Karim Lekadir 21 51 0 25 Sep 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 45 306 0 16 May 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 109 1,623 0 05 Nov 2018
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov Dmitrii Podoprikhin T. Garipov Dmitry Vetrov A. Wilson FedML MoMe 98 1,643 0 14 Mar 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs T. Garipov Pavel Izmailov Dmitrii Podoprikhin Dmitry Vetrov A. Wilson UQCV 61 746 0 27 Feb 2018
A Closer Look at Spatiotemporal Convolutions for Action Recognition Du Tran Heng Wang Lorenzo Torresani Jamie Ray Yann LeCun Manohar Paluri 184 3,007 0 30 Nov 2017
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? Kensho Hara Hirokatsu Kataoka Y. Satoh 3DPC 112 1,926 0 27 Nov 2017
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation Christian F. Baumgartner Lisa M. Koch Marc Pollefeys E. Konukoglu 49 246 0 13 Sep 2017
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images J. Wolterink T. Leiner M. Viergever Ivana Isgum 40 111 0 03 Aug 2017
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation Jay Patravali Shubham Jain Sasank Chilamkurthy 3DV 34 114 0 31 Jul 2017
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation Clément Zotti Zhiming Luo A. Lalande O. Humbert Pierre-Marc Jodoin 47 88 0 24 May 2017
The Kinetics Human Action Video Dataset W. Kay João Carreira Karen Simonyan Brian Zhang Chloe Hillier ... Tim Green T. Back Apostol Natsev Mustafa Suleyman Andrew Zisserman 203 3,771 0 19 May 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 234 17,328 0 17 Feb 2016