Neil Tenenholtz

The Need for a Machine Learning Curriculum for Radiologists

2018 · 38 Zit. · Journal of the American College of Radiology

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models

2024 · 6 Zit. · Journal of Imaging Informatics in Medicine

Best Practices and Checklist for Reviewing Artificial Intelligence-Based Medical Imaging Papers: Classification

2025 · 3 Zit. · Journal of Imaging Informatics in Medicine

Teaching AI for Radiology Applications: A Multisociety‑Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

2025 · 2 Zit. · Medical Physics

Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

2025 · 1 Zit. · Journal of Imaging Informatics in Medicine

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models

2024 · 0 Zit. · arXiv (Cornell University)

Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

2025 · 0 Zit. · Radiology Artificial Intelligence

Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification

2022 · 0 Zit. · arXiv (Cornell University)