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Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

10 October 2018

Spyridon Bakas

Papers citing "Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation"

50 / 123 papers shown

Title
Do Gradient Inversion Attacks Make Federated Learning Unsafe? Ali Hatamizadeh Hongxu Yin Pavlo Molchanov Andriy Myronenko Wenqi Li ... Andrew Feng Mona G. Flores Jan Kautz Daguang Xu H. Roth FedML 96 68 0 14 Feb 2022
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 112 91 0 08 Feb 2022
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack Yongkang Wang Dihua Zhai Yufeng Zhan Yuanqing Xia FedML AAML 65 15 0 11 Jan 2022
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images Meirui Jiang Zirui Wang Qi Dou FedML 130 135 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 65 6 0 15 Dec 2021
Survey of Generative Methods for Social Media Analysis Stan Matwin Aristides Milios P. Prałat Amilcar Soares Franccois Théberge 66 4 0 13 Dec 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 110 21 0 29 Nov 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification G. N. Gunesli M. Bilal S. Raza Nasir M. Rajpoot FedML OOD 67 20 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 49 7 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 98 30 0 02 Nov 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 88 32 0 14 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 120 81 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 62 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 83 11 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 104 46 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 104 42 0 19 Aug 2021
Collaborative Unsupervised Visual Representation Learning from Decentralized Data Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang Shuai Yi FedML 116 99 0 14 Aug 2021
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures H. Roth Dong Yang Wenqi Li Andriy Myronenko Wentao Zhu Ziyue Xu Xiaosong Wang Daguang Xu FedML 92 24 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 122 44 0 07 Jul 2021
RoFL: Robustness of Secure Federated Learning Hidde Lycklama Lukas Burkhalter Alexander Viand Nicolas Küchler Anwar Hithnawi FedML 88 63 0 07 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 81 94 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 127 63 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 109 54 0 24 Jun 2021
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching Quande Liu Hongzhen Yang Qi Dou Pheng-Ann Heng FedML 120 77 0 16 Jun 2021
EasyFL: A Low-code Federated Learning Platform For Dummies Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 78 48 0 17 May 2021
OpenFL: An open-source framework for Federated Learning G. A. Reina Alexey Gruzdev Patrick Foley O. Perepelkina Mansi Sharma ... Sarthak Pati Prakash Narayana Moorthy Shih-Han Wang Prashant Shah Spyridon Bakas FedML AIFin 109 113 0 13 May 2021
The Federated Tumor Segmentation (FeTS) Challenge Sarthak Pati Ujjwal Baid M. Zenk Brandon Edwards Micah J. Sheller ... Lena Maier-Hein Jens Kleesiek Bjoern Menze Klaus Maier-Hein Spyridon Bakas FedML OOD 108 78 0 12 May 2021
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 76 33 0 06 May 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 139 422 0 05 Apr 2021
Vulnerability Due to Training Order in Split Learning Harshit Madaan M. Gawali V. Kulkarni Aniruddha Pant FedML 74 6 0 26 Mar 2021
Distributed Learning for Melanoma Classification using Personal Health Train Yongli Mou Sascha Welten Yeliz Ucer Yediel Toralf Kirsten Oya Beyan 26 2 0 24 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 124 330 0 15 Mar 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 179 445 0 10 Mar 2021
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation Cosmin I. Bercea Benedikt Wiestler Daniel Rueckert Shadi Albarqouni FedML OOD 73 39 0 05 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 137 146 0 03 Mar 2021
Scalable federated machine learning with FEDn Morgan Ekmefjord Addi Ait-Mlouk Sadi Alawadi Mattias Åkesson Desislava Stoyanova O. Spjuth Salman Toor Andreas Hellander FedML 80 43 0 27 Feb 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging Sarthak Pati Siddhesh P. Thakur İbrahim Ethem Hamamcı Ujjwal Baid Bhakti Baheti ... D. Kontos Alexandros Karargyris Renato Umeton Peter Mattson Spyridon Bakas LM&MA MedIm 158 46 0 26 Feb 2021
Scaling Neuroscience Research using Federated Learning Dimitris Stripelis J. Ambite Pradeep Lam Paul M. Thompson FedML 101 30 0 16 Feb 2021
Dopamine: Differentially Private Federated Learning on Medical Data Mohammad Malekzadeh Burak Hasircioglu N. Mital K. Katarya M. E. Ozfatura Deniz Gündüz OOD FedML 105 51 0 27 Jan 2021
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study Ning Ge Guanghao Li Li Zhang Yi Liu FedML 86 47 0 25 Jan 2021
Personalized Federated Deep Learning for Pain Estimation From Face Images Ognjen Rudovic Nicolas Tobis Sebastian Kaltwang Björn Schuller Daniel Rueckert Jeffrey F. Cohn Rosalind W. Picard CVBM FedML 60 24 0 12 Jan 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1) T. D. Nguyen Phillip Rieger Huili Chen Hossein Yalame Helen Mollering ... Azalia Mirhoseini S. Zeitouni F. Koushanfar A. Sadeghi T. Schneider AAML 94 25 0 06 Jan 2021
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning David Enthoven Zaid Al-Ars FedML 109 15 0 01 Jan 2021
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare M. Gawali S. ArvindC. Shriya Suryavanshi Harshit Madaan A. Gaikwad KN BhanuPrakash V. Kulkarni Aniruddha Pant FedML 86 35 0 23 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 105 24 0 01 Dec 2020
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments Reza Nasirigerdeh Mohammad Bakhtiari Reihaneh Torkzadehmahani Amirhossein Bayat M. List David B. Blumenthal Jan Baumbach FedML 46 8 0 13 Nov 2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning Pochuan Wang Chen Shen H. Roth Dong Yang Daguang Xu ... Po-Ting Chen Kao-Lang Liu Wei-Chih Liao Weichung Wang K. Mori FedML OOD 90 26 0 28 Sep 2020
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 86 211 0 22 Sep 2020
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 124 181 0 21 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 124 153 0 08 Sep 2020