| Screening of COVID-19 based on the extracted radiomics features from chest CT images SM Rezaeijo, R Abedi-Firouzjah, M Ghorvei, S Sarnameh Journal of X-ray Science and Technology 29 (2), 229-243, 2021 | 35 | 2021 |
| Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods E Taghizadeh, S Heydarheydari, A Saberi, S JafarpoorNesheli, ... BMC bioinformatics 23 (1), 410, 2022 | 32 | 2022 |
| 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 |
| Segmentation of the prostate, its zones, anterior fibromuscular stroma, and urethra on the MRIs and multimodality image fusion using U-Net model SM Rezaeijo, SJ Nesheli, MF Serj, MJT Birgani Quantitative Imaging in Medicine and Surgery 12 (10), 4786, 2022 | 29 | 2022 |
| Detecting COVID-19 in chest images based on deep transfer learning and machine learning algorithms SM Rezaeijo, M Ghorvei, R Abedi-Firouzjah, H Mojtahedi, ... Egyptian Journal of Radiology and Nuclear Medicine 52, 1-12, 2021 | 28 | 2021 |
| A machine learning method based on lesion segmentation for quantitative analysis of CT radiomics to detect COVID-19 SM Rezaeijo, M Ghorvei, M Alaei 2020 6th Iranian Conference on Signal Processing and Intelligent Systems …, 2020 | 27 | 2020 |
| Within-modality synthesis and novel radiomic evaluation of brain MRI scans SM Rezaeijo, N Chegeni, F Baghaei Naeini, D Makris, S Bakas Cancers 15 (14), 3565, 2023 | 23 | 2023 |
| Auto-segmentation of head and neck tumors in positron emission tomography images using non-local means and morphological frameworks S Heydarheydari, MJT Birgani, SM Rezaeijo Polish Journal of Radiology 88, e365, 2023 | 22 | 2023 |
| Machine learning approach for automated predicting of COVID-19 severity based on clinical and paraclinical characteristics: Serum levels of zinc, calcium, and vitamin D A Jahangirimehr, EA Shahvali, SM Rezaeijo, A Khalighi, ... Clinical Nutrition ESPEN 51, 404-411, 2022 | 22 | 2022 |
| Predicting breast cancer response to neoadjuvant chemotherapy using ensemble deep transfer learning based on CT images SM Rezaeijo, M Ghorvei, B Mofid Journal of X-ray Science and Technology 29 (5), 835-850, 2021 | 20 | 2021 |
| 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 |
| The feasibility of a dose painting procedure to treat prostate cancer based on mpMR images and hierarchical clustering SM Rezaeijo, B Hashemi, B Mofid, M Bakhshandeh, A Mahdavi, ... Radiation Oncology 16, 1-16, 2021 | 16 | 2021 |
| Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI H Khanfari, S Mehranfar, M Cheki, M Mohammadi Sadr, S Moniri, ... BMC Medical Imaging 23 (1), 195, 2023 | 15 | 2023 |
| 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 |
| 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 |
| Diagnostic efficacy of technetium-99m-sestamibi scintimammography in comparison with mammography to detect breast lesions: a systematic review S Heydarheydari, SM Rezaeijo, M Cheki, E Khodamoradi, K Khoshgard Archives of Breast Cancer, 98-105, 2018 | 7 | 2018 |
| 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 |
Arman RahmimProfessor of Radiology, Physics and Biomedical Engineering, University of British ColumbiaVerified email at ubc.ca
