| 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 |
| Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease MR Salmanpour, M Shamsaei, A Saberi, S Setayeshi, IS Klyuzhin, ... Computers in biology and medicine 111, 103347, 2019 | 50 | 2019 |
| Decentralized distributed multi-institutional PET image segmentation using a federated deep learning framework I Shiri, AV Sadr, M Amini, Y Salimi, A Sanaat, A Akhavanallaf, B Razeghi, ... Clinical Nuclear Medicine 47 (7), 606-617, 2022 | 44 | 2022 |
| Machine learning methods for optimal prediction of motor outcome in Parkinson’s disease MR Salmanpour, M Shamsaei, A Saberi, IS Klyuzhin, J Tang, V Sossi, ... Physica Medica 69, 233-240, 2020 | 38 | 2020 |
| Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning I Shiri, A Vafaei Sadr, A Akhavan, Y Salimi, A Sanaat, M Amini, B Razeghi, ... European Journal of Nuclear Medicine and Molecular Imaging 50 (4), 1034-1050, 2023 | 34 | 2023 |
| 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 |
| Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning MR Salmanpour, M Shamsaei, A Saberi, G Hajianfar, H Soltanian-Zadeh, ... Computers in biology and medicine 129, 104142, 2021 | 29 | 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 |
| Using deep-learning to predict outcome of patients with Parkinson’s disease KH Leung, MR Salmanpour, A Saberi, IS Klyuzhin, V Sossi, AK Jha, ... 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 27 | 2018 |
| Machine learning methods for optimal prediction of outcome in Parkinson’s disease MR Salmanpour, M Shamsaei, A Saberi, S Setayeshi, E Taherinezhad, ... 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 12 | 2018 |
| Multi-institutional PET/CT image segmentation using a decentralized federated deep transformer learning algorithm I Shiri, M Amini, Y Salimi, A Sanaat, A Saberi, B Razeghi, S Ferdowsi, ... Journal of Nuclear Medicine 63 (supplement 2), 3348-3348, 2022 | 8 | 2022 |
| Optimal feature selection and machine learning for prediction of outcome in Parkinson’s disease M Salmanpour, A Saberi, M Shamsaei, A Rahmim Journal of Nuclear Medicine 61 (supplement 1), 524-524, 2020 | 8 | 2020 |
| Hybrid machine learning methods for robust identification of Parkinson’s disease subtypes M Salmanpour, M Shamsaei, A Saberi, G Hajianfar, S Ashrafinia, ... Journal of Nuclear Medicine 61 (supplement 1), 1429-1429, 2020 | 7 | 2020 |
| Radiomic features combined with hybrid machine learning robustly identify Parkinson’s disease subtypes M Salmanpour, M Shamsaei, A Saberi, G Hajianfar, H Soltanian-Zadeh, ... Annual AAPM Meeting, 2020 | 5 | 2020 |
| Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study M Amini, M Pursamimi, G Hajianfar, Y Salimi, A Saberi, ... Scientific reports 13 (1), 14920, 2023 | 3 | 2023 |
| Fully automated PET image artifacts detection and correction using deep neural networks I Shiri, Y Salimi, A Sanaat, A Saberi, M Amini, A Akhavanallaf, I Mainta, ... Journal of Nuclear Medicine 63 (supplement 2), 3218-3218, 2022 | 3 | 2022 |
| Hybrid machine learning methods and ensemble voting for identification of Parkinson’s disease subtypes MR Salmanpour, A Saberi, G Hajianfar, A Rahmim Journal of Nuclear Medicine 62 (supplement 1), 107-107, 2021 | 2 | 2021 |
| Longitudinal clustering analysis and prediction of Parkinson’s disease progression A Saberi, MR Salmanpour, G Hajianfar, A Rahmim Journal of Nuclear Medicine 62 (supplement 1), 1051-1051, 2021 | 2 | 2021 |
| 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 |
| Pathological prostate gleason score prediction using MRI radiomics and machine learning algorithms S Bagheri, G Hajianfar, A Saberi, M Oveisi, I Shiri, H Zaidi 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2021 | 1 | 2021 |
Arman RahmimProfessor of Radiology, Physics and Biomedical Engineering, University of British ColumbiaVerified email at ubc.ca
