Ronald M. Summers

The Medical Segmentation Decathlon

2022 · 1.166 Zit. · Nature Communications

Preparing Medical Imaging Data for Machine Learning

2020 · 956 Zit. · Radiology

On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

2020 · 458 Zit. · Radiology Artificial Intelligence

Metrics reloaded: recommendations for image analysis validation

2024 · 379 Zit. · Nature Methods

Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session

2017 · 197 Zit. · Journal of Digital Imaging

Understanding metric-related pitfalls in image analysis validation

2024 · 166 Zit. · Nature Methods

A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop

2019 · 124 Zit. · Journal of the American College of Radiology

Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports

2023 · 106 Zit. · Radiology

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine

2024 · 106 Zit. · npj Digital Medicine

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging

2022 · 88 Zit. · Medical Physics

Trustworthy Artificial Intelligence in Medical Imaging

2021 · 84 Zit. · PET Clinics

Automated Detection, Localization, and Classification of Traumatic Vertebral Body Fractures in the Thoracic and Lumbar Spine at CT

2015 · 73 Zit. · Radiology

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities

2021 · 53 Zit. · PET Clinics

Artificial Intelligence of COVID-19 Imaging: A Hammer in Search of a Nail

2020 · 44 Zit. · Radiology