Keyvan Farahani

The Medical Segmentation Decathlon

2022 · 1.160 Zit. · Nature Communications

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

2022 · 429 Zit. · arXiv (Cornell University)

Metrics reloaded: recommendations for image analysis validation

2024 · 369 Zit. · Nature Methods

Understanding metric-related pitfalls in image analysis validation

2024 · 163 Zit. · Nature Methods

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence

2023 · 32 Zit. · Radiographics

Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review

2023 · 23 Zit. · Journal of Digital Imaging

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · IT University Of Copenhagen (IT University of Copenhagen)

End-to-end reproducible AI pipelines in radiology using the cloud

2024 · 14 Zit. · Nature Communications

Transparent and Reproducible AI-based Medical Imaging Pipelines Using the Cloud

2023 · 1 Zit. · Research Square

Digital pathology imaging artificial intelligence in cancer research and clinical trials: An NCI workshop report

2025 · 0 Zit. · Journal of Pathology Informatics

Challenges as a framework for trustworthy AI

2025 · 0 Zit. · Elsevier eBooks