| 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 |
| Fully automated gross tumor volume delineation from PET in head and neck cancer using deep learning algorithms I Shiri, H Arabi, A Sanaat, E Jenabi, M Becker, H Zaidi Clinical nuclear medicine 46 (11), 872-883, 2021 | 44 | 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 Automated Delineation of Head and Neck Malignant Lesions from PET Images H Arabi, I Shiri, E Jenabi, M Becker, H Zaidi 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 12 | 2020 |
| Differential privacy preserved federated transfer learning for multi-institutional 68Ga-PET image artefact detection and disentanglement I Shiri, Y Salimi, M Maghsudi, E Jenabi, S Harsini, B Razeghi, S Mostafaei, ... European journal of nuclear medicine and molecular imaging 51 (1), 40-53, 2023 | 6 | 2023 |
| Information fusion for fully automated segmentation of head and neck tumors from PET and CT images I Shiri, M Amini, F Yousefirizi, A Vafaei Sadr, G Hajianfar, Y Salimi, ... Medical Physics 51 (1), 319-333, 2024 | 4 | 2024 |
| Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance G Hajianfar, M Sabouri, Y Salimi, M Amini, S Bagheri, E Jenabi, S Hekmat, ... Zeitschrift für Medizinische Physik, 2023 | 3 | 2023 |
| 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 |
| A machine learning-based sonomics for prediction of thyroid nodule malignancies M Arabi, M Nazari, A Salahshour, E Jenabi, G Hajianfar, M Khateri, ... Endocrine 82 (2), 326-334, 2023 | 1 | 2023 |
| ComBat Harmonization of Image Reconstruction Parameters to Improve the Repeatability of Radiomics Features G Hajianfar, AH Avval, M Sabouri, M Khateri, E Jenabi, P Geramifar, ... 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2021 | 1 | 2021 |
| Machine learning-based analysis of 68Ga-PSMA-11 PET/CT images for estimation of prostate tumor grade M Khateri, F Babapour Mofrad, P Geramifar, E Jenabi Physical and Engineering Sciences in Medicine, 1-13, 2024 | | 2024 |
| Fine-tuned BERT Language Model for Efficient Nuclear Medicine Data Retrieval AS Manesh, I Shiri, M Khateri, E Jenabi, Y Salimi, P Geramifar, H Zaidi 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …, 2023 | | 2023 |
| Non-Invasive Prostate Cancer Histopathological Subtype Decoding Using 68Ga-PSMA PET/CT Radiomics Features: A Multi-center Study M Khateri, FB Mofrad, E Jenabi, G Hajianfar, E Jafari, H Dadgar, M Assadi, ... Journal of Nuclear Medicine 63 (supplement 2), 3242-3242, 2022 | | 2022 |
| Comparison of Visual and Voxel-Wise Brain SPECT/CT Analysis in Patients With Long Term Schizophrenia Following Aripiprazole Monotherapy: A Clinical Trial E Jenabi, P Geramifar, A Mirabzadeh, B Fallahi, M Amouee, M Ebrahimi, ... Journal of Nuclear Medicine 63 (supplement 2), 2918-2918, 2022 | | 2022 |
| Radiogenomics analysis of PET/CT images in lung cancer patients: Conventional radiomics versus deep learning I Shiri, G Hajianfar, S Ashrafinia, E Jenabi, M Oveisi, A Rahmim EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 46 (SUPPL 1 …, 2019 | | 2019 |
Habib Zaidi, FIEEE, FAIMBE, FAAPM,...Full Professor, Geneva University Hospital and University of GenevaVerified email at unige.ch
