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2103.02148
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Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
Computer Vision and Pattern Recognition (CVPR), 2021
3 March 2021
Pengfei Guo
Puyang Wang
Jinyuan Zhou
Shanshan Jiang
Vishal M. Patel
FedML
OOD
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Papers citing
"Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning"
50 / 76 papers shown
An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning
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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review
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28 Aug 2025
ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning
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04 Aug 2025
PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction
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30 Jun 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
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P. Pathirana
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08 May 2025
Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model
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Can Zhao
Dong Yang
Yufan He
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Zongwei Zhou
Benjamin D. Simon
Stephanie Harmon
Baris Turkbey
Daguang Xu
DiffM
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387
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07 May 2025
Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism
Shourya Goel
Himanshi Tibrewal
Anant Jain
Anshul Pundhir
Pravendra Singh
FedML
391
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03 Apr 2025
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation
Siladittya Manna
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269
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DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
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Jiawei Liu
Huijie Fan
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HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging
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263
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Non-parametric regularization for class imbalance federated medical image classification
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Jiangchao Yao
Ruipeng Zhang
Lingjuan Lyu
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FedML
318
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Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
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Shengchao Hu
Jiangchao Yao
Gang Niu
Ya Zhang
Masashi Sugiyama
Yanfeng Wang
FedML
328
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29 May 2024
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography
Jie Liu
Yixiao Zhang
Kang Wang
Mehmet Can Yavuz
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Haoliang Li
Yang Yang
Yaoyao Liu
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Zongwei Zhou
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Shanglin Li
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208
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FedML
205
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23 Oct 2023
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306
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13 Oct 2023
FAM: fast adaptive federated meta-learning
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184
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Yassine Himeur
Iraklis Varlamis
Hamza Kheddar
Abbes Amira
Shadi Atalla
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F. Bensaali
Shadi Atalla
FedML
261
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24 Aug 2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction
IEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Yu-bao Yan
Chun-Mei Feng
Yuexiang Li
Rick Siow Mong Goh
Lei Zhu
MedIm
261
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20 Aug 2023
SoK: Assessing the State of Applied Federated Machine Learning
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Maximilian Stäbler
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242
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03 Aug 2023
DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Zhiwen Yang
Yang Zhou
Hui Zhang
Bingzheng Wei
Yubo Fan
Yan Xu
MedIm
222
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11 Jul 2023
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Yilmaz Korkmaz
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V. Patel
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DiffM
246
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29 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
593
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26 Jun 2023
Federated Learning on Non-iid Data via Local and Global Distillation
Xiaolin Zheng
Senci Ying
Fei Zheng
Jianwei Yin
Longfei Zheng
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FedML
243
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26 Jun 2023
A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation
Ronast Subedi
Rebati Gaire
Sharib Ali
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Danail Stoyanov
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OOD
147
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14 Jun 2023
Federated Learning for Medical Image Analysis: A Survey
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Hao Guan
Pew-Thian Yap
Andrea Bozoki
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FedML
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357
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09 Jun 2023
Cross-Modal Vertical Federated Learning for MRI Reconstruction
Yu-bao Yan
Hong Wang
Yawen Huang
Nanjun He
Lei Zhu
Yuexiang Li
Yong Xu
Yefeng Zheng
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FedML
263
20
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05 Jun 2023
FACT: Federated Adversarial Cross Training
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Jonas Lippl
Andreas Schäfer
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HILM
297
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01 Jun 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
334
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01 May 2023
Segment Anything Model for Medical Images?
Yuhao Huang
Yitian Zhao
Lei Mou
Huazhu Fu
Ao Chang
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Lei Li
Vicente Grau
M. Akiba
Fajin Dong
Jiang-Dong Liu
VLM
332
312
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28 Apr 2023
Domain Generalization for Mammographic Image Analysis with Contrastive Learning
Zheren Li
Zhiming Cui
Lichi Zhang
Sheng Wang
Chenjin Lei
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Yajia Gu
Zaiyi Liu
Chunling Liu
Dinggang Shen
Jie‐Zhi Cheng
663
5
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20 Apr 2023
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising
Bo Zhou
Huidong Xie
Qiong Liu
Xiongchao Chen
Xueqi Guo
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Biao Li
Axel Rominger
Kuangyu Shi
James S. Duncan
Chi Liu
OOD
328
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02 Apr 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation
Computer Vision and Pattern Recognition (CVPR), 2023
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H. Roth
Wenqi Li
Dong Yang
Can Zhao
V. Nath
Daguang Xu
Qianming Dou
Ziyue Xu
FedML
231
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Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Computer Vision and Pattern Recognition (CVPR), 2023
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W. Zuo
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FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Tianpeng Deng
Yanqi Huang
Guoqiang Han
Zhenwei Shi
Jiatai Lin
Qianming Dou
Zaiyi Liu
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Xin Chen
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FedML
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Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading
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Sen Yang
Xinran Wang
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Yueping Liu
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CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
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FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
Industrial Conference on Data Mining (IDM), 2022
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Yanfeng Wang
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Lingjuan Lyu
Ya Zhang
Qinghua Tian
FedML
184
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Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
IEEE/CAA Journal of Automatica Sinica (JCAS), 2022
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Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
331
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Addressing Heterogeneity in Federated Learning via Distributional Transformation
European Conference on Computer Vision (ECCV), 2022
Haolin Yuan
Bo Hui
Yuchen Yang
Philippe Burlina
Neil Zhenqiang Gong
Yinzhi Cao
FedML
OOD
224
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Federated Learning with Privacy-Preserving Ensemble Attention Distillation
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
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Arun Innanje
Terrence Chen
Junsong Yuan
David Doermann
Ziyan Wu
FedML
278
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FedGraph: an Aggregation Method from Graph Perspective
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Xiaohong Huang
Dandan Li
Xueguang Yuan
FedML
242
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K-UNN: k-Space Interpolation With Untrained Neural Network
Zhuoxu Cui
Seng Jia
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Congcong Liu
Zhilang Qiu
Yuanyuan Liu
Jing Cheng
Haifeng Wang
Yanjie Zhu
Dong Liang
172
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11 Aug 2022
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
434
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13 Jul 2022
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction
IEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Jiangpeng Yan
Chen-Ping Yu
Hanbo Chen
Zhe Xu
Junzhou Huang
Xiu Li
Jianhua Yao
227
1
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15 Jun 2022
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