Shahriar Faghani
Mayo Clinic · US
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Mitigating Bias in Radiology Machine Learning: 1. Data Handling
2022 · 124 Zit. · Radiology Artificial Intelligence
Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics
2022 · 90 Zit. · Radiology Artificial Intelligence
Mitigating Bias in Radiology Machine Learning: 2. Model Development
2022 · 78 Zit. · Radiology Artificial Intelligence
Quantifying Uncertainty in Deep Learning of Radiologic Images
2023 · 77 Zit. · Radiology
Applying Deep Learning to Establish a Total Hip Arthroplasty Radiography Registry
2022 · 43 Zit. · Journal of Bone and Joint Surgery
Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns
2022 · 34 Zit. · The Journal of Arthroplasty
Patient-specific Hip Arthroplasty Dislocation Risk Calculator: An Explainable Multimodal Machine Learning–based Approach
2022 · 31 Zit. · Radiology Artificial Intelligence
THA-AID: Deep Learning Tool for Total Hip Arthroplasty Automatic Implant Detection With Uncertainty and Outlier Quantification
2023 · 23 Zit. · The Journal of Arthroplasty
Automated diagnosis of autism with artificial intelligence: State of the art
2023 · 23 Zit. · Reviews in the Neurosciences
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review
2023 · 23 Zit. · Journal of Digital Imaging
A Current Review of Generative AI in Medicine: Core Concepts, Applications, and Current Limitations
2025 · 19 Zit. · Current Reviews in Musculoskeletal Medicine
Checklist for Reproducibility of Deep Learning in Medical Imaging
2024 · 10 Zit. · Journal of Imaging Informatics in Medicine
Machine Learning in Cardiovascular Imaging: A Scoping Review of Published Literature
2022 · 9 Zit. · Current Radiology Reports
AI-Powered Object Detection in Radiology: Current Models, Challenges, and Future Direction
2025 · 9 Zit. · Journal of Imaging
Artificial Intelligence in Radiology: Overview of Application Types, Design, and Challenges
2023 · 8 Zit. · Seminars in Roentgenology