Keyvan Farahani

The Medical Segmentation Decathlon

2022 · 1.105 Zit. · Nature Communications

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

2022 · 425 Zit. · arXiv (Cornell University)

Metrics reloaded: recommendations for image analysis validation

2024 · 338 Zit. · Nature Methods

Understanding metric-related pitfalls in image analysis validation

2024 · 154 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 · 29 Zit. · Radiographics

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

2023 · 21 Zit. · Journal of Digital Imaging

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · arXiv (Cornell University)

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

2024 · 13 Zit. · Nature Communications

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

2023 · 1 Zit.

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