| 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 | 66 | 2022 |
| COLI‐Net: deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images I Shiri, H Arabi, Y Salimi, A Sanaat, A Akhavanallaf, G Hajianfar, D Askari, ... International journal of imaging systems and technology 32 (1), 12-25, 2022 | 44 | 2022 |
| Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging Y Salimi, I Shiri, A Akhavanallaf, Z Mansouri, A Saberi Manesh, A Sanaat, ... Insights into Imaging 12, 1-16, 2021 | 42 | 2021 |
| 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 |
| Deep Learning-based calculation of patient size and attenuation surrogates from localizer Image: Toward personalized chest CT protocol optimization Y Salimi, I Shiri, A Akhavanallaf, Z Mansouri, AH Sanaat, M Pakbin, ... European Journal of Radiology 157, 110602, 2022 | 21 | 2022 |
| COLI-NET: Fully Automated COVID-19 Lung and Infection Pneumonia Lesion Detection and Segmentation from Chest CT Images I Shiri, H Arabi, Y Salimi, AH Sanaat, A Akhavanalaf, G Hajianfar, D Askari, ... MedRxiv, 2021.04. 08.21255163, 2021 | 13 | 2021 |
| Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset I Shiri, Y Salimi, N Sirjani, B Razeghi, S Bagherieh, M Pakbin, Z Mansouri, ... Medical Physics 51 (7), 4736-4747, 2024 | 2 | 2024 |
| Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study I Shiri, Y Salimi, A Saberi, M Pakbin, G Hajianfar, AH Avval, A Sanaat, ... International Journal of Imaging Systems and Technology 34 (2), e23028, 2024 | 2 | 2024 |
| Quantitative Nail Fold Capillary Blood Flow Using Capillaroscopy System and ImageJ Software in Healthy Individuals M Pakbin, SM Hejazi, SR Najafizadeh Frontiers in Biomedical Technologies, 2022 | 2 | 2022 |
| Deep Vision Transformers for Prognostic Modeling in COVID-19 Patients using Large Multi-Institutional Chest CT Dataset I Shiri, Y Salimi, N Sirjani, AH Aval, Z Mansouri, M Amini, A Saberi, ... 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022 | 1 | 2022 |
| Deep Learning-based Fully Automated Scan Range Detection in Chest CT Imaging Y Salimi, A Akhavanallaf, I Shiri, Z Mansouri, A Saberimanesh, A Sanaat, ... 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2021 | | 2021 |
