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1810.04304
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Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
10 October 2018
Micah J. Sheller
G. A. Reina
Brandon Edwards
Jason Martin
Spyridon Bakas
FedML
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Papers citing
"Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation"
50 / 156 papers shown
Distributed Contrastive Learning for Medical Image Segmentation
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Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
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J. E. Haakegaard
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D. Rawat
Vladimir Vlassov
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344
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05 Aug 2022
Decentralized Machine Learning for Intelligent Health Care Systems on the Computing Continuum
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29 Jul 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
European Conference on Computer Vision (ECCV), 2022
Sungwon Han
Sungwon Park
Fangzhao Wu
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Chuhan Wu
Xing Xie
M. Cha
FedML
242
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19 Jul 2022
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
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Muhammad Usama Mirza
Gokberk Elmas
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S. Dar
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Salman Avestimehr
Tolga cCukur
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368
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13 Jul 2022
Personalizing Federated Medical Image Segmentation via Local Calibration
European Conference on Computer Vision (ECCV), 2022
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Yueming Jin
Liansheng Wang
FedML
275
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11 Jul 2022
Mechanisms that Incentivize Data Sharing in Federated Learning
Sai Praneeth Karimireddy
Wenshuo Guo
Michael I. Jordan
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192
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10 Jul 2022
Smart Multi-tenant Federated Learning
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Yonggang Wen
Shuai Zhang
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241
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09 Jul 2022
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN
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Jean-Francois Rajotte
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131
1
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13 Jun 2022
FedHarmony: Unlearning Scanner Bias with Distributed Data
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Nicola K. Dinsdale
M. Jenkinson
Ana I. L. Namburete
FedML
139
21
0
31 May 2022
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
229
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24 May 2022
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting
Expert systems with applications (ESWA), 2022
Thomas Borger
P. Mosteiro
Heysem Kaya
Emil Rijcken
A. A. Salah
Floortje E. Scheepers
Marco Spruit
FedML
199
25
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17 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
167
3
0
11 May 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data
Italian National Conference on Sensors (INS), 2022
Joceline Ziegler
Bjarne Pfitzner
H. Schulz
A. Saalbach
B. Arnrich
FedML
153
20
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06 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Jeffry Wicaksana
Zengqiang Yan
Dong Zhang
Xijie Huang
Huimin Wu
Xin Yang
Kwang-Ting Cheng
FedML
148
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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
175
20
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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
169
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25 Apr 2022
Federated Contrastive Learning for Volumetric Medical Image Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yiyu Shi
Jingtong Hu
FedML
164
67
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23 Apr 2022
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Nature Communications (Nat Commun), 2022
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
239
280
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22 Apr 2022
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case
European Interdisciplinary Cybersecurity Conference (IC), 2022
Febrianti Wibawa
Ferhat Ozgur Catak
S. Sarp
Murat Kuzlu
Umit Cali
FedML
139
97
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16 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
188
19
0
30 Mar 2022
Asynchronous Collaborative Learning Across Data Silos
International Conference on AI in Finance (ICAF), 2021
Tiffany Tuor
J. Lockhart
Daniele Magazzeni
FedML
163
3
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23 Mar 2022
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Hasan Kassem
Deepak Alapatt
Pietro Mascagni
AI4SafeChole Consortium
Alexandros Karargyris
N. Padoy
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257
59
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14 Mar 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Lidia Fantauzzo
Eros Fani
Debora Caldarola
A. Tavera
Fabio Cermelli
Marco Ciccone
Barbara Caputo
FedML
255
62
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28 Feb 2022
Cross-Silo Heterogeneous Model Federated Multitask Learning
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Xingjian Cao
Zonghang Li
Gang Sun
Hongfang Yu
Mohsen Guizani
FedML
220
11
0
17 Feb 2022
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Ali Hatamizadeh
Hongxu Yin
Pavlo Molchanov
Andriy Myronenko
Wenqi Li
...
Andrew Feng
Mona G. Flores
Jan Kautz
Daguang Xu
H. Roth
FedML
212
102
0
14 Feb 2022
Federated Learning of Generative Image Priors for MRI Reconstruction
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Gokberk Elmas
S. Dar
Yilmaz Korkmaz
Emir Ceyani
Burak Susam
Muzaffer Özbey
Salman Avestimehr
Tolga cCukur
FedML
MedIm
AI4CE
305
112
0
08 Feb 2022
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack
Yongkang Wang
Dihua Zhai
Yufeng Zhan
Yuanqing Xia
FedML
AAML
105
20
0
11 Jan 2022
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
AAAI Conference on Artificial Intelligence (AAAI), 2021
Meirui Jiang
Zirui Wang
Qi Dou
FedML
336
171
0
20 Dec 2021
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization
Huiming Chen
Huandong Wang
Quanming Yao
Yong Li
Depeng Jin
Qiang Yang
FedML
137
6
0
15 Dec 2021
Survey of Generative Methods for Social Media Analysis
Stan Matwin
Aristides Milios
P. Prałat
Amilcar Soares
Franccois Théberge
142
8
0
13 Dec 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021
Sixing Yu
P. Nguyen
Waqwoya Abebe
Wei Qian
Ali Anwar
Ali Jannesari
FedML
293
25
0
29 Nov 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification
G. N. Gunesli
M. Bilal
S. Raza
Nasir M. Rajpoot
FedML
OOD
155
24
0
25 Nov 2021
3-D PET Image Generation with tumour masks using TGAN
R. V. Bergen
Jean-Francois Rajotte
F. Yousefirizi
I. Klyuzhin
Arman Rahmim
R. Ng
MedIm
106
9
0
02 Nov 2021
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training
Sangjoon Park
Gwanghyun Kim
Jeongsol Kim
Boah Kim
Jong Chul Ye
ViT
FedML
MedIm
266
40
0
02 Nov 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship
Debaditya Shome
Omer Waqar
Wali Ullah Khan
216
37
0
14 Oct 2021
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis
E. Giacomello
M. Cataldo
Daniele Loiacono
P. Lanzi
OOD
100
1
0
04 Oct 2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
Alexandros Karargyris
Renato Umeton
Micah J. Sheller
Alejandro Aristizabal
Johnu George
...
Poonam Yadav
Michael Rosenthal
M. Loda
Jason M. Johnson
Peter Mattson
FedML
250
123
0
29 Sep 2021
NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU
Edward H. Lee
M. M. Krell
Alexander Tsyplikhin
Victoria Rege
E. Colak
Kristen W. Yeom
FedML
158
0
0
24 Sep 2021
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room
V. Srivastav
A. Gangi
N. Padoy
OOD
401
12
0
26 Aug 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
Guodong Long
Tao Shen
Yue Tan
Leah Gerrard
Allison Clarke
Jing Jiang
FedML
130
56
0
24 Aug 2021
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Chen Shen
Pochuan Wang
H. Roth
Dong Yang
Daguang Xu
...
C. Fuh
Po-Ting Chen
Kao-Lang Liu
W. Liao
K. Mori
FedML
227
46
0
19 Aug 2021
Collaborative Unsupervised Visual Representation Learning from Decentralized Data
IEEE International Conference on Computer Vision (ICCV), 2021
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
Shuai Yi
FedML
205
114
0
14 Aug 2021
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
H. Roth
Dong Yang
Wenqi Li
Andriy Myronenko
Wentao Zhu
Ziyue Xu
Xiaosong Wang
Daguang Xu
FedML
202
28
0
16 Jul 2021
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
199
61
0
07 Jul 2021
RoFL: Robustness of Secure Federated Learning
Hidde Lycklama
Lukas Burkhalter
Alexander Viand
Nicolas Küchler
Anwar Hithnawi
FedML
310
92
0
07 Jul 2021
Differentially private federated deep learning for multi-site medical image segmentation
Alexander Ziller
Dmitrii Usynin
Nicolas W. Remerscheid
Moritz Knolle
Marcus R. Makowski
R. Braren
Daniel Rueckert
Georgios Kaissis
FedML
168
28
0
06 Jul 2021
Memory-aware curriculum federated learning for breast cancer classification
Amelia Jiménez-Sánchez
Mickael Tardy
M. A. G. Ballester
Diana Mateus
Gemma Piella
OOD
221
103
0
06 Jul 2021
SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging
Miao Zhang
Liangqiong Qu
Praveer Singh
Jayashree Kalpathy-Cramer
D. Rubin
OOD
FedML
442
69
0
06 Jul 2021
A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li
Guangming Zhu
Cong Hua
Mingtao Feng
Basheer Bennamoun
...
Xu Xu
Lin Mei
Liang Zhang
Syed Afaq Ali Shah
Bennamoun
OOD
206
68
0
24 Jun 2021
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