Micah Sheller
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
2020 · 1.252 Zit. · Scientific Reports
Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
2019 · 517 Zit. · Lecture notes in computer science
OpenFL: the open federated learning library
2022 · 113 Zit. · Physics in Medicine and Biology
Federated benchmarking of medical artificial intelligence with MedPerf
2023 · 110 Zit. · Nature Machine Intelligence
Privacy preservation for federated learning in health care
2024 · 108 Zit. · Patterns
OpenFL: An open-source framework for Federated Learning
2021 · 58 Zit. · arXiv (Cornell University)
The Federated Tumor Segmentation (FeTS) Challenge
2021 · 42 Zit. · arXiv (Cornell University)
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
2018 · 19 Zit. · arXiv (Cornell University)
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
2021 · 10 Zit. · Edinburgh Research Explorer
NIMG-32. THE FEDERATED TUMOR SEGMENTATION (FETS) INITIATIVE: THE FIRST REAL-WORLD LARGE-SCALE DATA-PRIVATE COLLABORATION FOCUSING ON NEURO-ONCOLOGY
2021 · 7 Zit. · Neuro-Oncology
NIMG-68. FEDERATED LEARNING IN NEURO-ONCOLOGY FOR MULTI-INSTITUTIONAL COLLABORATIONS WITHOUT SHARING PATIENT DATA
2019 · 6 Zit. · Neuro-Oncology
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
2025 · 3 Zit. · Nature Communications
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
2021 · 2 Zit. · White Rose Research Online (University of Leeds, The University of Sheffield, University of York)