| 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 |
| Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network I Shiri, A Akhavanallaf, A Sanaat, Y Salimi, D Askari, Z Mansouri, ... European radiology 31, 1420-1431, 2021 | 96 | 2021 |
| 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 | 56 | 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 | 42 | 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 | 33 | 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 |
| Fusion-based head and neck tumor segmentation and survival prediction using robust deep learning techniques and advanced hybrid machine learning systems M Fatan, M Hosseinzadeh, D Askari, H Sheikhi, SM Rezaeijo, ... 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 211-223, 2021 | 15 | 2021 |
| 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 |
| Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features MR Salmanpour, M Hosseinzadeh, A Akbari, K Borazjani, K Mojallal, ... Medical Imaging 2022: Computer-Aided Diagnosis 12033, 662-667, 2022 | 9 | 2022 |
| Advanced survival prediction in head and neck cancer using hybrid machine learning systems and radiomics features MR Salmanpour, M Hosseinzadeh, E Modiri, A Akbari, G Hajianfar, ... Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and …, 2022 | 5 | 2022 |
| Deep Residual Neural Network-based Standard CT Estimation from Ultra-Low Dose CT Imaging for COVID-19 Patients I Shiri, A Akhavanallaf, A Sanaat, Y Salimi, D Askari, Z Mansouri, ... 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 4 | 2020 |
| 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 | 1 | 2024 |
| Investigate Change Cardiac Perfusion Pattern Following By Hypo-fractionated and Conventional Radiation Therapy Schedule in Patients with Left-Sided Breast Cancer D Askari, M Bakhshandeh, M Amoui, H Mirzaee, M Malekzadeh Iranian Journal of Medical Physics 15 (Special Issue-12th. Iranian Congress …, 2018 | 1 | 2018 |
| Myocardial perfusion defects after radiation therapy for left-sided breast cancer: is stress study necessary? M Amoui, D Askari, MB Bakhshandeh, H Mirzaee, S Saifollahi, ... EANM'17, 2017 | 1 | 2017 |
| 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, 2024 | | 2024 |
| Prediction of Radiation-Induced Microvascular Damage After Left Breast Cancer Radiation Therapy by Using Machine Learning and Cardiac SPECT Radiomics Features D Askari, M Bakhsandeh, S Mostafaei, M Amouee, Y Salimi, S Chatterjee, ... Journal of Nuclear Medicine 63 (supplement 2), 3248-3248, 2022 | | 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 |
| COLI-NET: Fully Automated COVID-19 Lung and Infection Pneumonia Lesion Detection and Segmentation from Chest CT Images (preprint) I Shiri, H Arabi, Y Salimi, AH Sanaat, A Akhavanalaf, G Hajianfar, D Askari, ... | | 2021 |
| Total Antioxidant Capacity level in Radiation Workers and other Staffs of Hospital in Sistan and Baluchestan Province J Ordoni, V Sargazi, ZY Stoodeh, Y Salimi, D Askari Iranian Journal of Medical Physics 15 (Special Issue-12th. Iranian Congress …, 2018 | | 2018 |
| Assessment of diagnostic value of DWI technique in the evaluation of liver fibrosis J Ordoni, Z Yazdi Stoodeh, V Sargazi, D Askari, Y Salimi Iranian Journal of Medical Physics 15 (Special Issue-12th. Iranian Congress …, 2018 | | 2018 |
Yazdan SalimiUniversity of GenevaVerified email at unige.ch
