| Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches I Shiri, H Maleki, G Hajianfar, H Abdollahi, S Ashrafinia, M Hatt, M Oveisi, ... Molecular Imaging and Biology 22 (4), 1132-1148, 2020 | 107 | 2020 |
| Non-invasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomics features and machine learning M Nazari, I Shiri, G Hajianfar, N Oveisi, H Abdollahi, MR Deevband, ... Radiologia Medica 125 (8), 754-762, 2019 | 103 | 2019 |
| 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 |
| Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network I Shiri, H Arabi, P Geramifar, G Hajianfar, P Ghafarian, A Rahmim, MR Ay, ... European journal of nuclear medicine and molecular imaging 47, 2533-2548, 2020 | 90 | 2020 |
| Noninvasive O6 methylguanine-DNA methyltransferase status prediction in glioblastoma multiforme cancer using magnetic resonance imaging radiomics features: univariate and … G Hajianfar, I Shiri, H Maleki, N Oveisi, A Haghparast, H Abdollahi, ... World neurosurgery 132, e140-e161, 2019 | 63 | 2019 |
| Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study M Edalat-Javid, I Shiri, G Hajianfar, H Abdollahi, H Arabi, N Oveisi, ... Journal of Nuclear Cardiology 28 (6), 2730-2744, 2021 | 61 | 2021 |
| Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection E Avard, I Shiri, G Hajianfar, H Abdollahi, KR Kalantari, G Houshmand, ... Computers in Biology and Medicine 141, 105145, 2022 | 58 | 2022 |
| Treatment response prediction using MRI‐based pre‐, post‐, and delta‐radiomic features and machine learning algorithms in colorectal cancer S Shayesteh, M Nazari, A Salahshour, S Sandoughdaran, G Hajianfar, ... Medical physics 48 (7), 3691-3701, 2021 | 57 | 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 |
| Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images I Shiri, M Amini, M Nazari, G Hajianfar, AH Avval, H Abdollahi, M Oveisi, ... Computers in biology and medicine 142, 105230, 2022 | 56 | 2022 |
| Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: Test–retest and image registration analyses I Shiri, G Hajianfar, A Sohrabi, H Abdollahi, S P. Shayesteh, P Geramifar, ... Medical physics 47 (9), 4265-4280, 2020 | 56 | 2020 |
| Overall survival prognostic modelling of non-small cell lung cancer patients using positron emission tomography/computed tomography harmonised radiomics features: the quest for … M Amini, G Hajianfar, AH Avval, M Nazari, MR Deevband, M Oveisi, I Shiri, ... Clinical Oncology 34 (2), 114-127, 2022 | 55 | 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 | 53* | 2022 |
| Multi-level multi-modality (PET and CT) fusion radiomics: prognostic modeling for non-small cell lung carcinoma M Amini, M Nazari, I Shiri, G Hajianfar, MR Deevband, H Abdollahi, ... Physics in medicine & biology 66 (20), 205017, 2021 | 48 | 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 |
| 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 |
| Myocardial perfusion SPECT imaging radiomic features and machine learning algorithms for cardiac contractile pattern recognition M Sabouri, G Hajianfar, Z Hosseini, M Amini, M Mohebi, T Ghaedian, ... Journal of Digital Imaging 36 (2), 497-509, 2023 | 21 | 2023 |
| Synergistic impact of motion and acquisition/reconstruction parameters on 18F‐FDG PET radiomic features in non‐small cell lung cancer: Phantom and clinical … SA Hosseini, I Shiri, G Hajianfar, B Bahadorzadeh, P Ghafarian, H Zaidi, ... Medical Physics 49 (6), 3783-3796, 2022 | 17 | 2022 |
| 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 |
Habib Zaidi, FIEEE, FAIMBE, FAAPM,...Full Professor, Geneva University Hospital and University of GenevaVerified email at unige.ch
