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Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and
  Domain Adaptation: ABIDE Results

Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results

16 January 2020
Xiaoxiao Li
Yufeng Gu
Nicha Dvornek
Lawrence H. Staib
P. Ventola
James S. Duncan
    FedML
    OOD
ArXivPDFHTML

Papers citing "Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results"

48 / 48 papers shown
Title
Federated learning, ethics, and the double black box problem in medical AI
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley
Anders Søgaard
Angela Ballantyne
Ruben Pauwels
FedML
58
0
0
29 Apr 2025
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
Wenjie Qu
Likai Wang
Kuan-Jui Su
Aiying Zhang
Hao Zhu
Xiaowen Liu
Hui Shen
Vince D. Calhoun
Yuping Wang
H. Deng
63
0
0
03 Feb 2025
Securing Health Data on the Blockchain: A Differential Privacy and
  Federated Learning Framework
Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework
Daniel Commey
Sena Hounsinou
Garth V. Crosby
28
2
0
19 May 2024
Population Graph Cross-Network Node Classification for Autism Detection
  Across Sample Groups
Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups
Anna Stephens
Francisco Santos
Pang-Ning Tan
A. Esfahanian
26
1
0
10 Jan 2024
Post-Deployment Adaptation with Access to Source Data via Federated
  Learning and Source-Target Remote Gradient Alignment
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
Felix Wagner
Zeju Li
Pramit Saha
Konstantinos Kamnitsas
MedIm
8
4
0
31 Aug 2023
FedSoup: Improving Generalization and Personalization in Federated
  Learning via Selective Model Interpolation
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
Minghui Chen
Meirui Jiang
Qianming Dou
Zehua Wang
Xiaoxiao Li
FedML
35
16
0
20 Jul 2023
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI
H. Bedel
Tolga Çukur
DiffM
MedIm
31
24
0
18 Jul 2023
FACT: Federated Adversarial Cross Training
FACT: Federated Adversarial Cross Training
Stefan Schrod
Jonas Lippl
Andreas Schäfer
Michael Altenbuchinger
FedML
HILM
19
3
0
01 Jun 2023
FCA: Taming Long-tailed Federated Medical Image Classification by
  Classifier Anchoring
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
40
5
0
01 May 2023
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated
  Learning
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning
Prakash Chourasia
Taslim Murad
Z. Tayebi
Sarwan Ali
Imdadullah Khan
Murray Patterson
FedML
37
5
0
17 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor
  Attacks
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
FedML
38
25
0
03 Feb 2023
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and
  Challenges
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi
Ankit Pal
Malaikannan Sankarasubbu
OOD
AI4CE
FedML
25
93
0
15 Nov 2022
Federated Learning with Privacy-Preserving Ensemble Attention
  Distillation
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
...
Arun Innanje
Terrence Chen
Junsong Yuan
David Doermann
Ziyan Wu
FedML
23
27
0
16 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth
  Channel and Vulnerability
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Zhao Song
Yitan Wang
Zheng Yu
Licheng Zhang
FedML
23
28
0
15 Oct 2022
Cluster Based Secure Multi-Party Computation in Federated Learning for
  Histopathology Images
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images
Seyedeh Maryam Hosseini
Milad Sikaroudi
Morteza Babaie
H. R. Tizhoosh
OOD
FedML
15
10
0
21 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
46
90
0
05 Aug 2022
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare
Moirangthem Biken Singh
A. Pratap
OOD
35
3
0
24 Jul 2022
One Model to Unite Them All: Personalized Federated Learning of
  Multi-Contrast MRI Synthesis
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Onat Dalmaz
Muhammad Usama Mirza
Gokberk Elmas
Muzaffer Özbey
S. Dar
Emir Ceyani
Salman Avestimehr
Tolga cCukur
MedIm
31
39
0
13 Jul 2022
Applications of Generative Adversarial Networks in Neuroimaging and
  Clinical Neuroscience
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
Rongguang Wang
V. Bashyam
Zhijian Yang
Fanyang Yu
Vasiliki Tassopoulou
...
Dushyant Sahoo
K. Nikita
Ahmed Abdulkadir
J. Wen
Christos Davatzikos
GAN
MedIm
AI4CE
28
46
0
14 Jun 2022
FedMix: Mixed Supervised Federated Learning for Medical Image
  Segmentation
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
Jeffry Wicaksana
Zengqiang Yan
Dong Zhang
Xijie Huang
Huimin Wu
Xin Yang
Kwang-Ting Cheng
FedML
38
49
0
04 May 2022
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated
  Learning
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
Dongnan Liu
Mariano Cabezas
Dongang Wang
Zihao Tang
Lei Bai
...
Fernando Calamante
Michael Barnett
Wanli Ouyang
Weidong (Tom) Cai
Chenyu Wang
FedML
21
4
0
03 May 2022
Analysing the Influence of Attack Configurations on the Reconstruction
  of Medical Images in Federated Learning
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
38
2
0
25 Apr 2022
IOP-FL: Inside-Outside Personalization for Federated Medical Image
  Segmentation
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation
Meirui Jiang
Hongzheng Yang
Chen Cheng
Qianming Dou
37
32
0
16 Apr 2022
Auto-FedRL: Federated Hyperparameter Optimization for
  Multi-institutional Medical Image Segmentation
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Pengfei Guo
Dong Yang
Ali Hatamizadeh
An Xu
Ziyue Xu
...
F. Patella
Elvira Stellato
G. Carrafiello
Vishal M. Patel
H. Roth
OOD
FedML
28
32
0
12 Mar 2022
Federated Learning of Generative Image Priors for MRI Reconstruction
Federated Learning of Generative Image Priors for MRI Reconstruction
Gokberk Elmas
S. Dar
Yilmaz Korkmaz
Emir Ceyani
Burak Susam
Muzaffer Özbey
Salman Avestimehr
Tolga cCukur
FedML
MedIm
AI4CE
21
88
0
08 Feb 2022
A Comprehensive Survey on Federated Learning: Concept and Applications
A Comprehensive Survey on Federated Learning: Concept and Applications
Dhurgham Hassan Mahlool
Mohammed Hamzah Abed
FedML
23
22
0
23 Jan 2022
FedNI: Federated Graph Learning with Network Inpainting for
  Population-Based Disease Prediction
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
Liang Peng
Nan Wang
Nicha Dvornek
Xiaofeng Zhu
Xiaoxiao Li
FedML
AI4CE
31
70
0
19 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction
Specificity-Preserving Federated Learning for MR Image Reconstruction
Chun-Mei Feng
Yu-bao Yan
Shanshan Wang
Yong Xu
Ling Shao
Huazhu Fu
OOD
43
78
0
09 Dec 2021
On Convergence of Federated Averaging Langevin Dynamics
On Convergence of Federated Averaging Langevin Dynamics
Wei Deng
Qian Zhang
Yi Ma
Zhao Song
Guang Lin
FedML
30
16
0
09 Dec 2021
FedDropoutAvg: Generalizable federated learning for histopathology image
  classification
FedDropoutAvg: Generalizable federated learning for histopathology image classification
G. N. Gunesli
M. Bilal
S. Raza
Nasir M. Rajpoot
FedML
OOD
24
20
0
25 Nov 2021
Privacy-preserving Federated Adversarial Domain Adaption over Feature
  Groups for Interpretability
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability
Yan Kang
Yang Liu
Yuezhou Wu
Guoqiang Ma
Qiang Yang
19
39
0
22 Nov 2021
Federated Learning for Big Data: A Survey on Opportunities,
  Applications, and Future Directions
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
Thippa Reddy Gadekallu
Viet Quoc Pham
Thien Huynh-The
S. Bhattacharya
Praveen Kumar Reddy Maddikunta
Madhusanka Liyanage
FedML
AI4CE
50
39
0
08 Oct 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in
  Cardiovascular Disease
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease
Akis Linardos
Kaisar Kushibar
S. Walsh
P. Gkontra
Karim Lekadir
FedML
25
62
0
07 Jul 2021
Federated Noisy Client Learning
Federated Noisy Client Learning
Huazhu Fu
Li Li
Bo Han
Chengzhong Xu
Ling Shao
FedML
28
26
0
24 Jun 2021
Federated Semi-supervised Medical Image Classification via Inter-client
  Relation Matching
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
Quande Liu
Hongzhen Yang
Qi Dou
Pheng-Ann Heng
FedML
35
76
0
16 Jun 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning
  Convergence Analysis
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis
Baihe Huang
Xiaoxiao Li
Zhao Song
Xin Yang
FedML
31
16
0
11 May 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging
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
24
32
0
06 May 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional
  Medical Image Segmentation
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
Yingda Xia
Dong Yang
Wenqi Li
Andriy Myronenko
Daguang Xu
...
Elvira Stellato
G. Carrafiello
A. Ierardi
Alan Yuille
H. Roth
OOD
FedML
44
46
0
20 Apr 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse
  Event Mentions
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
R. Harpaz
Steve Bright
FedML
16
9
0
12 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via
  Episodic Learning in Continuous Frequency Space
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
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
Scaling Neuroscience Research using Federated Learning
Dimitris Stripelis
J. Ambite
Pradeep Lam
Paul M. Thompson
FedML
45
28
0
16 Feb 2021
Federated Learning for Computational Pathology on Gigapixel Whole Slide
  Images
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
28
167
0
21 Sep 2020
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT
  Classification
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification
Zhao Wang
Quande Liu
Qi Dou
OOD
19
162
0
15 Sep 2020
A review of deep learning in medical imaging: Imaging traits, technology
  trends, case studies with progress highlights, and future promises
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
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
Dynamic Sampling and Selective Masking for Communication-Efficient
  Federated Learning
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning
Shaoxiong Ji
Wenqi Jiang
A. Walid
Xue Li
FedML
28
66
0
21 Mar 2020
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