Showing 1–15 of 15 results
/ Date/ Name
Mar 18, 2020The Future of Digital Health with Federated LearningMay 15, 2023The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via InpaintingFeb 26, 2021GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical ImagingJun 1, 2023The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRIDec 5, 2025The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated LearningMay 28, 2024Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation ChallengeMay 12, 2021The Federated Tumor Segmentation (FeTS) ChallengeJul 11, 2024BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023Apr 16, 2025Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRIMay 16, 2024Analysis of the BraTS 2023 Intracranial Meningioma Segmentation ChallengeDec 7, 2025A Technical Policy Blueprint for Trustworthy Decentralized AIApr 22, 2022Federated Learning Enables Big Data for Rare Cancer Boundary DetectionMay 13, 2021OpenFL: An open-source framework for Federated LearningOct 10, 2018Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor SegmentationSep 29, 2021MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation