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Tomography (Ann Arbor, Mich.)|April 21, 2022
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial NetworksKuan Zhang, Haoji Hu, Kenneth Philbrick, et al.
Current Radiology Reports|December 19, 2022
Machine Learning in Cardiovascular Imaging: A Scoping Review of Published LiteraturePouria Rouzrokh, Bardia Khosravi, Sanaz Vahdati, et al.
Skeletal Radiology|November 18, 2025
Diagnostic performance of X-ray-based deep learning models for detecting ankle and foot fractures: a systematic review and meta-analysisMohammad-Taha Pahlevan-Fallahy, Nasim Hosseinzadeh, Farhad Shaker, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|July 30, 2026
Advancing Radiology Education with Artificial Intelligence: Curriculum Planning, Implementation, and EvaluationPouria Rouzrokh, Parsa Rouzrokh, Bardia Khosravi, et al.
The Journal of Arthroplasty|February 25, 2022
Distribution and Correlates of Hip-Knee-Ankle Angle in Early Osteoarthritis and Preoperative Total Knee Arthroplasty PatientsTaghi Ramazanian, Shi Yan, Pouria Rouzrokh, et al.
Radiology. Artificial Intelligence|January 14, 2026
Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical IntegrationBardia Khosravi, Pouria Rouzrokh, Tugba Akinci D'Antonoli, et al.
Orthopaedic Journal of Sports Medicine|December 18, 2023
Deep Learning Artificial Intelligence Tool for Automated Radiographic Determination of Posterior Tibial Slope in Patients With ACL InjuryYining Lu, Ayoosh Pareek, Linjun Yang, et al.
Arthroplasty Today|October 8, 2024
Analyzing Racial Differences in Imaging Joint Replacement Registries Using Generative Artificial Intelligence: Advancing Orthopaedic Data EquityBardia Khosravi, Pouria Rouzrokh, Bradley J Erickson, et al.
Radiology. Artificial Intelligence|December 11, 2023
Anonymizing Radiographs Using an Object Detection Deep Learning AlgorithmBardia Khosravi, John P Mickley, Pouria Rouzrokh, et al.
AJR. American Journal of Roentgenology|August 20, 2025
Physician-in-the-Loop Active Learning in Radiology Artificial Intelligence Workflows: Opportunities, Challenges, and Future DirectionsMonica Luo, Fereshteh Yousefirizi, Pouria Rouzrokh, et al.
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