Holger R. Roth

Federated learning for predicting clinical outcomes in patients with COVID-19

2021 · 657 Zit. · Nature Medicine

MONAI: An open-source framework for deep learning in healthcare

2022 · 425 Zit. · arXiv (Cornell University)

Federated learning improves site performance in multicenter deep learning without data sharing

2020 · 219 Zit. · Journal of the American Medical Informatics Association

Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study

2022 · 147 Zit. · Radiology

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

2023 · 103 Zit. · IEEE Transactions on Medical Imaging

Fair Federated Medical Image Segmentation via Client Contribution Estimation

2023 · 59 Zit.

Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021 · 44 Zit.

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images

2022 · 41 Zit. · arXiv (Cornell University)

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation

2021 · 36 Zit. · arXiv (Cornell University)

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes

2023 · 11 Zit. · Health Informatics Journal

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

2024 · 2 Zit. · arXiv (Cornell University)

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning

2020 · 1 Zit. · arXiv (Cornell University)

Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models

2023 · 1 Zit. · IEEE Transactions on Medical Imaging

D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions

2024 · 0 Zit. · Lecture notes in computer science

D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions

2024 · 0 Zit. · arXiv (Cornell University)