Title
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
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection Yassine Habchi Hamza Kheddar Yassine Himeur Adel Belouchrani Erchin Serpedin Fouad Khelifi Muhammad E.H. Chowdhury LM&MA 49 0 0 30 Mar 2025
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need Jon Irureta Jon Imaz Aizea Lojo Javier Fernandez-Marques Marco González Iñigo Perona FedML 98 1 0 20 Feb 2025
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 66 7 0 17 Sep 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 51 4 0 30 May 2024
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare A. Bhatia David E. Bernal Neira FedML 45 7 0 13 May 2024
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios Geng Chen Qingyue Wang I. Rekik 38 0 0 14 Mar 2024
Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures Samuel Kim Min Sang Kim FedML 30 0 0 05 Mar 2024
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings Jean Ogier du Terrail Quentin Klopfenstein Honghao Li Imke Mayer Nicolas Loiseau Mohammad Hallal Félix Balazard M. Andreux 18 2 0 28 Nov 2023
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
Medical Federated Model with Mixture of Personalized and Sharing Components Yawei Zhao Qinghe Liu Xinwang Liu K. He FedML OOD 18 2 0 26 Jun 2023
Federated Learning of Medical Concepts Embedding using BEHRT Ofir Ben Shoham Nadav Rappoport FedML OOD 24 12 0 22 May 2023
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models Irene Balelli Aude Sportisse Francesco Cremonesi Pierre-Alexandre Mattei Marco Lorenzi 40 3 0 17 Apr 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 42 32 0 11 Mar 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 39 18 0 03 Feb 2023
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 48 91 0 05 Aug 2022
SoK: Hardware-supported Trusted Execution Environments Moritz Schneider Ramya Jayaram Masti Shweta Shinde Srdjan Capkun R. Perez 31 27 0 25 May 2022
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 49 73 0 29 Sep 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 78 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 1,712 0 18 Mar 2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 147 427 0 09 Mar 2020
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018