Title
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 39 0 0 31 Dec 2024
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 21 0 0 31 Dec 2024
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications Francesco Cremonesi Lucia Innocenti Sebastien Ourselin Vicky Goh Michela Antonelli Marco Lorenzi FedML 102 0 0 09 Dec 2024
FedPID: An Aggregation Method for Federated Learning Leon Mächler Gustav Grimberg Ivan Ezhov Manuel Nickel Suprosanna Shit David Naccache Johannes C. Paetzold FedML 21 0 0 04 Nov 2024
Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data Jingyun Yang J. Wang Guoqing Zhang Yang Li 18 1 0 09 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 35 4 0 07 Oct 2024
GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging Sarthak Pati Szymon Mazurek Spyridon Bakas MedIm 21 0 0 30 Sep 2024
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review Nikolas Koutsoubis Asim Waqas Yasin Yilmaz R. Ramachandran M. Schabath Ghulam Rasool 26 1 0 24 Sep 2024
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability Mario Padilla Rodriguez Mohamed Nafea FedML 28 0 0 12 Aug 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 26 0 0 17 Jul 2024
Harvesting Private Medical Images in Federated Learning Systems with Crafted Models Shanghao Shi Md Shahedul Haque Abhijeet Parida M. Linguraru Y. T. Hou Syed Muhammad Anwar W. Lou FedML 33 3 0 13 Jul 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation Nikolas Koutsoubis Yasin Yilmaz Ravi P. Ramachandran M. Schabath Ghulam Rasool 34 8 0 18 Jun 2024
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation M. Zenk David Zimmerer Fabian Isensee Jeremias Traub T. Norajitra Paul F. Jäger Klaus H. Maier-Hein 37 4 0 05 Jun 2024
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain Markus R. Bujotzek Unal Akunal Stefan Denner Peter Neher M. Zenk ... Jens Kleesiek Tobias Penzkofer Klaus H. Maier-Hein R. Braren Andreas Bucher AI4CE 29 2 0 15 May 2024
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation Yuxi Liu Guibo Luo Yuesheng Zhu FedML MedIm 26 4 0 08 Mar 2024
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation Y. Huang Wanqing Xie Mingzhen Li Mingmei Cheng Jinzhou Wu Weixiao Wang Jane You Xiaofeng Liu FedML 26 3 0 23 Oct 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe Stefan Duffner Carole Lartizien FedML 27 2 0 17 Oct 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 27 5 0 01 May 2023
FedPIDAvg: A PID controller inspired aggregation method for Federated Learning Leon Mächler Ivan Ezhov Suprosanna Shit Johannes C. Paetzold FedML 17 7 0 24 Apr 2023
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging Erum Mushtaq Yavuz Faruk Bakman Jie Ding A. Avestimehr FedML 14 8 0 18 Apr 2023
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation Muhammad Irfan Khan Mohammad Ayyaz Azeem E. Alhoniemi Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 22 3 0 30 Jan 2023
Finding the Most Transferable Tasks for Brain Image Segmentation Yicong Li Yang Tan Jing Yang Yang Li Xiaoping Zhang 22 0 0 03 Jan 2023
Robust Learning Protocol for Federated Tumor Segmentation Challenge Ambrish Rawat Giulio Zizzo S. Kadhe J. Epperlein S. Braghin FedML 11 3 0 16 Dec 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 36 142 0 10 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective Zhifang Deng Xiaohong Huang Dandan Li Xueguang Yuan FedML 22 0 0 06 Oct 2022
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation Himashi Peiris Munawar Hayat Zhaolin Chen Gary Egan Mehrtash Harandi MedIm 6 4 0 16 Sep 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 23 39 0 13 Jul 2022
Artificial Intelligence Solution for Effective Treatment Planning for Glioblastoma Patients Vikram Goddla 21 0 0 09 Mar 2022
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation Ece Isik Polat Gorkem Polat Altan Koçyiğit A. Temi̇zel OOD FedML 17 4 0 16 Feb 2022
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results Raghav Mehta Angelos Filos Ujjwal Baid C. Sako Richard McKinley ... Christos Davatzikos Bjoern H. Menze Spyridon Bakas Y. Gal Tal Arbel UQCV 12 44 0 19 Dec 2021
FedCostWAvg: A new averaging for better Federated Learning Leon Mächler Ivan Ezhov Florian Kofler Suprosanna Shit Johannes C. Paetzold T. Loehr Benedikt Wiestler Bjoern H. Menze FedML OOD 17 13 0 16 Nov 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 46 71 0 29 Sep 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification Ujjwal Baid S. Ghodasara S. Mohan Michel Bilello Evan Calabrese ... M. Weber A. Mahajan Bjoern H. Menze Adam Flanders Spyridon Bakas 20 606 0 05 Jul 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 14 105 0 13 May 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 15 53 0 09 Mar 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 74 44 0 26 Feb 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,703 0 18 Mar 2020
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern H. Menze 11 988 0 13 Jan 2019