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1910.00962
Cited By
Privacy-preserving Federated Brain Tumour Segmentation
2 October 2019
Wenqi Li
Fausto Milletarì
Daguang Xu
Nicola Rieke
Jonny Hancox
Wentao Zhu
Maximilian Baust
Yan Cheng
Sébastien Ourselin
M. Jorge Cardoso
Andrew Feng
FedML
Re-assign community
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Papers citing
"Privacy-preserving Federated Brain Tumour Segmentation"
12 / 62 papers shown
Title
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Umang Gupta
Dmitris Stripelis
Pradeep Lam
Paul M. Thompson
J. Ambite
Greg Ver Steeg
MIACV
FedML
16
32
0
06 May 2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
FedML
MedIm
71
80
0
26 Apr 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
426
0
10 Mar 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Max Ryabinin
Eduard A. Gorbunov
Vsevolod Plokhotnyuk
Gennady Pekhimenko
29
31
0
04 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
36
143
0
03 Mar 2021
Scaling Neuroscience Research using Federated Learning
Dimitris Stripelis
J. Ambite
Pradeep Lam
Paul M. Thompson
FedML
37
28
0
16 Feb 2021
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
58
92
0
28 Jan 2021
FedADC: Accelerated Federated Learning with Drift Control
Emre Ozfatura
Kerem Ozfatura
Deniz Gunduz
FedML
33
37
0
16 Dec 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Sinem Sav
Apostolos Pyrgelis
J. Troncoso-Pastoriza
D. Froelicher
Jean-Philippe Bossuat
João Sá Sousa
Jean-Pierre Hubaux
FedML
11
153
0
01 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
43
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
13
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
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