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The Journal of Bone and Joint Surgery. American Volume|July 22, 2022
Applying Deep Learning to Establish a Total Hip Arthroplasty Radiography Registry: A Stepwise ApproachPouria Rouzrokh, Bardia Khosravi, Quinn J Johnson, et al.The Journal of Arthroplasty|March 5, 2021
Deep Learning Artificial Intelligence Model for Assessment of Hip Dislocation Risk Following Primary Total Hip Arthroplasty From Postoperative RadiographsPouria Rouzrokh, Taghi Ramazanian, Cody C Wyles, et al.The Journal of Arthroplasty|October 30, 2024
Uncertainty-Aware Deep Learning Characterization of Knee Radiographs for Large-Scale Registry CreationKellen L Mulford, Austin F Grove, Elizabeth S Kaji, et al.Radiology. Artificial Intelligence|June 2, 2022
Deep Learning for Radiographic Measurement of Femoral Component Subsidence Following Total Hip ArthroplastyPouria Rouzrokh, Cody C Wyles, Shyam J Kurian, et al.BMC Medical Education|May 24, 2023
Developing and validating a national set of standards for undergraduate medical education using the WFME framework: the experience of an accreditation system in IranRoghayeh Gandomkar, Tahereh Changiz, Athar Omid, et al.Journal of Hip Preservation Surgery|May 7, 2025
Characterizing hip joint morphology using a multitask deep learning modelBardia Khosravi, Lainey G Bukowiec, John P Mickley, et al.The Journal of Arthroplasty|December 19, 2022
Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy ConcernsBardia Khosravi, Pouria Rouzrokh, John P Mickley, et al.Radiology. Artificial Intelligence|October 7, 2022
Mitigating Bias in Radiology Machine Learning: 2. Model DevelopmentKuan Zhang, Bardia Khosravi, Sanaz Vahdati, et al.Computer Methods and Programs in Biomedicine|October 1, 2023
Few-shot biomedical image segmentation using diffusion models: Beyond image generationBardia Khosravi, Pouria Rouzrokh, John P Mickley, et al.Ebiomedicine|May 31, 2024
Synthetically enhanced: unveiling synthetic data's potential in medical imaging researchBardia Khosravi, Frank Li, Theo Dapamede, et al.Pageof 6