| Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients I Shiri, M Sorouri, P Geramifar, M Nazari, M Abdollahi, Y Salimi, ... Computers in biology and medicine 132, 104304, 2021 | 96 | 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 |
| COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients I Shiri, Y Salimi, M Pakbin, G Hajianfar, AH Avval, A Sanaat, S Mostafaei, ... Computers in biology and medicine 145, 105467, 2022 | 57 | 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 |
| Predictive value of initial CT scan for various adverse outcomes in patients with COVID-19 pneumonia B Khosravi, L Aghaghazvini, M Sorouri, SN Atashi, M Abdollahi, ... Heart & Lung 50 (1), 13-20, 2021 | 40 | 2021 |
| Clinical characteristics, outcomes, and risk factors for mortality in hospitalized patients with COVID-19 and cancer history: a propensity score-matched study M Sorouri, A Kasaeian, H Mojtabavi, AR Radmard, S Kolahdoozan, ... Infectious Agents and Cancer 15, 1-11, 2020 | 35 | 2020 |
| Diagnosis of COVID-19 using CT image radiomics features: a comprehensive machine learning study involving 26,307 patients I Shiri, Y Salimi, A Saberi, M Pakbin, G Hajianfar, AH Avval, A Sanaat, ... medRxiv, 2021.12. 07.21267367, 2021 | 28 | 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 | 25 | 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 |
| Many faces of acute bowel ischemia: overview of radiologic staging AH Davarpanah, A Ghamari Khameneh, B Khosravi, A Mir, H Saffar, ... Insights into Imaging 12 (1), 56, 2021 | 20 | 2021 |
| 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 | 14 | 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 |
| 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 |
| Clinical characteristics and outcomes of diabetics hospitalized for COVID-19 infection: a single-centered, retrospective, observational study A Mansour, SM Sajjadi-Jazi, A Kasaeian, B Khosravi, M Sorouri, F Azizi, ... EXCLI journal 19, 1533, 2020 | 13 | 2020 |
| A comparison of three different deep learning-based models to predict the MGMT promoter methylation status in glioblastoma using brain MRI S Faghani, B Khosravi, M Moassefi, GM Conte, BJ Erickson Journal of Digital Imaging 36 (3), 837-846, 2023 | 11 | 2023 |
| 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 |
| Anonymizing radiographs using an object detection deep learning algorithm B Khosravi, JP Mickley, P Rouzrokh, MJ Taunton, AN Larson, BJ Erickson, ... Radiology: Artificial Intelligence 5 (6), e230085, 2023 | 9 | 2023 |
| Frank Stinchfield award: creation of a patient-specific total hip Arthroplasty Periprosthetic fracture risk Calculator CC Wyles, H Maradit-Kremers, KM Fruth, DR Larson, B Khosravi, ... The Journal of Arthroplasty 38 (7), S2-S10, 2023 | 9 | 2023 |
Bradley J EricksonProfessor of Radiology, Mayo ClinicVerified email at mayo.edu
