Arman Rahmim
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
A Guide to Cross-Validation for Artificial Intelligence in Medical Imaging
2023 · 186 Zit. · Radiology Artificial Intelligence
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
2022 · 142 Zit. · European Journal of Nuclear Medicine and Molecular Imaging
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
2021 · 133 Zit. · Computers in Biology and Medicine
Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)
2022 · 101 Zit. · Journal of Nuclear Medicine
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
2021 · 90 Zit. · Journal of Nuclear Medicine
Artificial intelligence-driven assessment of radiological images for COVID-19
2021 · 87 Zit. · Computers in Biology and Medicine
Trustworthy Artificial Intelligence in Medical Imaging
2021 · 82 Zit. · PET Clinics
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
2022 · 61 Zit. · Journal of Nuclear Medicine
Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation
2023 · 56 Zit. · Journal of Nuclear Medicine
Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities
2021 · 51 Zit. · PET Clinics
Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance
2023 · 50 Zit. · Journal of Nuclear Medicine
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
2022 · 20 Zit. · Computer Methods and Programs in Biomedicine
Artificial Intelligence Algorithms Need to Be Explainable—or Do They?
2023 · 18 Zit. · Journal of Nuclear Medicine
Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization
2025 · 12 Zit. · IEEE Access
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
2020 · 9 Zit. · medRxiv