| A deep learning tool for automated radiographic measurement of acetabular component inclination and version after total hip arthroplasty P Rouzrokh, CC Wyles, KA Philbrick, T Ramazanian, AD Weston, JC Cai, ... The Journal of arthroplasty 36 (7), 2510-2517. e6, 2021 | 71 | 2021 |
| Mitigating bias in radiology machine learning: 1. Data handling P Rouzrokh, B Khosravi, S Faghani, M Moassefi, DV Vera Garcia, Y Singh, ... Radiology: Artificial Intelligence 4 (5), e210290, 2022 | 65 | 2022 |
| SOUP-GAN: Super-resolution MRI using generative adversarial networks K Zhang, H Hu, K Philbrick, GM Conte, JD Sobek, P Rouzrokh, ... Tomography 8 (2), 905-919, 2022 | 65 | 2022 |
| Mitigating bias in radiology machine learning: 2. Model development K Zhang, B Khosravi, S Vahdati, S Faghani, F Nugen, ... Radiology: Artificial Intelligence 4 (5), e220010, 2022 | 50 | 2022 |
| Mitigating bias in radiology machine learning: 3. Performance metrics S Faghani, B Khosravi, K Zhang, M Moassefi, JM Jagtap, F Nugen, ... Radiology: Artificial Intelligence 4 (5), e220061, 2022 | 46 | 2022 |
| Deep learning artificial intelligence model for assessment of hip dislocation risk following primary total hip arthroplasty from postoperative radiographs P Rouzrokh, T Ramazanian, CC Wyles, KA Philbrick, JC Cai, MJ Taunton, ... The Journal of arthroplasty 36 (6), 2197-2203. e3, 2021 | 40 | 2021 |
| Development of a deep learning model for the histologic diagnosis of dysplasia in Barrett’s esophagus S Faghani, DC Codipilly, D Vogelsang, M Moassefi, P Rouzrokh, ... Gastrointestinal endoscopy 96 (6), 918-925. e3, 2022 | 26 | 2022 |
| Applying deep learning to establish a total hip arthroplasty radiography registry: a stepwise approach P Rouzrokh, B Khosravi, QJ Johnson, S Faghani, DVV Garcia, ... JBJS 104 (18), 1649-1658, 2022 | 25 | 2022 |
| Prognostic factors of chest CT findings for ICU admission and mortality in patients with COVID-19 pneumonia MA Kazemi, H Ghanaati, B Moradi, M Chavoshi, H Hashemi, S Hemmati, ... MedRxiv, 2020.10. 30.20223024, 2020 | 24* | 2020 |
| Fully automated segmentation of head CT neuroanatomy using deep learning JC Cai, Z Akkus, KA Philbrick, A Boonrod, S Hoodeshenas, AD Weston, ... Radiology: Artificial Intelligence 2 (5), e190183, 2020 | 22 | 2020 |
| Implications of sex difference in CT scan findings and outcome of patients with COVID-19 pneumonia B Moradi, H Ghanaati, MA Kazemi, M Gity, H Hashemi, F Davari-Tanha, ... Radiology: Cardiothoracic Imaging 2 (4), e200248, 2020 | 22 | 2020 |
| Diagnostic value of shear wave sonoelastography in differentiation of benign from malignant thyroid nodules L Aghaghazvini, R Maheronnaghsh, A Soltani, P Rouzrokh, M Chavoshi European Journal of Radiology 126, 108926, 2020 | 18 | 2020 |
| Redefining the 3D topography of the acetabular safe zone: a multivariable study evaluating prosthetic hip stability M Hevesi, CC Wyles, P Rouzrokh, BJ Erickson, H Maradit-Kremers, ... JBJS 104 (3), 239-245, 2022 | 16 | 2022 |
| Quantifying uncertainty in deep learning of radiologic images S Faghani, M Moassefi, P Rouzrokh, B Khosravi, FI Baffour, MD Ringler, ... Radiology 308 (2), e222217, 2023 | 13 | 2023 |
| Multitask brain tumor inpainting with diffusion models: A methodological report P Rouzrokh, B Khosravi, S Faghani, M Moassefi, S Vahdati, BJ Erickson arXiv preprint arXiv:2210.12113, 2022 | 13 | 2022 |
| Patient-specific hip arthroplasty dislocation risk calculator: an explainable multimodal machine learning–based approach B Khosravi, P Rouzrokh, H Maradit Kremers, DR Larson, QJ Johnson, ... Radiology: Artificial Intelligence 4 (6), e220067, 2022 | 13 | 2022 |
| Deep learning for radiographic measurement of femoral component subsidence following total hip arthroplasty P Rouzrokh, CC Wyles, SJ Kurian, T Ramazanian, JC Cai, Q Huang, ... Radiology: Artificial Intelligence 4 (3), e210206, 2022 | 12 | 2022 |
| A deep learning algorithm for detecting lytic bone lesions of multiple myeloma on CT S Faghani, FI Baffour, MD Ringler, M Hamilton-Cave, P Rouzrokh, ... Skeletal Radiology 52 (1), 91-98, 2023 | 11 | 2023 |
| Creating high fidelity synthetic pelvis radiographs using generative adversarial networks: unlocking the potential of deep learning models without patient privacy concerns B Khosravi, P Rouzrokh, JP Mickley, S Faghani, AN Larson, HW Garner, ... The Journal of Arthroplasty 38 (10), 2037-2043. e1, 2023 | 10 | 2023 |
| Distribution and correlates of hip-knee-ankle angle in early osteoarthritis and preoperative total knee arthroplasty patients T Ramazanian, S Yan, P Rouzrokh, CC Wyles, TJO Byrne, MJ Taunton, ... The Journal of arthroplasty 37 (6), S170-S175, 2022 | 10 | 2022 |
Bradley J EricksonProfessor of Radiology, Mayo ClinicVerified email at mayo.edu
