| 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 |
| 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 |
| Deep versus handcrafted tensor radiomics features: prediction of survival in head and neck cancer using machine learning and fusion techniques MR Salmanpour, SM Rezaeijo, M Hosseinzadeh, A Rahmim Diagnostics 13 (10), 1696, 2023 | 31 | 2023 |
| Prediction of cognitive decline in Parkinson’s disease using clinical and DAT SPECT imaging features, and hybrid machine learning systems M Hosseinzadeh, A Gorji, A Fathi Jouzdani, SM Rezaeijo, A Rahmim, ... Diagnostics 13 (10), 1691, 2023 | 31 | 2023 |
| Fusion-based tensor radiomics using reproducible features: application to survival prediction in head and neck cancer MR Salmanpour, M Hosseinzadeh, SM Rezaeijo, A Rahmim Computer Methods and Programs in Biomedicine 240, 107714, 2023 | 30 | 2023 |
| Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease MR Salmanpour, M Shamsaei, A Rahmim Computer methods and programs in biomedicine 206, 106131, 2021 | 30 | 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 | 30 | 2021 |
| Longitudinal clustering analysis and prediction of Parkinson’s disease progression using radiomics and hybrid machine learning MR Salmanpour, M Shamsaei, G Hajianfar, H Soltanian-Zadeh, ... Quantitative Imaging in Medicine and Surgery 12 (2), 906, 2022 | 29 | 2022 |
| 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 |
| Advanced automatic segmentation of tumors and survival prediction in head and neck cancer MR Salmanpour, G Hajianfar, SM Rezaeijo, M Ghaemi, A Rahmim 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 202-210, 2021 | 17 | 2021 |
| Tensor radiomics: paradigm for systematic incorporation of multi-flavoured radiomics features A Rahmim, A Toosi, MR Salmanpour, N Dubljevic, I Janzen, I Shiri, ... 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022 | 15 | 2022 |
| 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 |
| 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 |
| 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 |
| 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 |
| Multitask outcome prediction using hybrid machine learning and PET-CT fusion radiomics MR Salmanpour, G Hajianfar, W Lv, L Lu, A Rahmim Journal of Nuclear Medicine 62 (supplement 1), 1424-1424, 2021 | 7 | 2021 |
| 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 |
| Deep versus handcrafted tensor radiomics features: Application to survival prediction in head and neck cancer M Salmanpour, M Hosseinzadeh, S Rezaeijo, M Ramezani, S Marandi, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 49 (SUPPL 1 …, 2022 | 6 | 2022 |
| Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer A Javanmardi, M Hosseinzadeh, G Hajianfar, AH Nabizadeh, ... Medical Imaging 2022: Image Processing 12032, 664-668, 2022 | 6 | 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 |
Arman RahmimProfessor of Radiology, Physics and Biomedical Engineering, University of British ColumbiaVerified email at ubc.ca
