| MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiography S Moradi, MG Oghli, A Alizadehasl, I Shiri, N Oveisi, M Oveisi, M Maleki, ... Physica Medica 67, 58-69, 2019 | 149 | 2019 |
| Next-generation radiogenomics sequencing for prediction of EGFR and KRAS mutation status in NSCLC patients using multimodal imaging and machine learning algorithms I Shiri, H Maleki, G Hajianfar, H Abdollahi, S Ashrafinia, M Hatt, H Zaidi, ... Molecular imaging and biology 22, 1132-1148, 2020 | 110 | 2020 |
| Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning M Nazari, I Shiri, G Hajianfar, N Oveisi, H Abdollahi, MR Deevband, ... La radiologia medica 125, 754-762, 2020 | 108 | 2020 |
| Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC) I Shiri, P Ghafarian, P Geramifar, KHY Leung, M Ghelichoghli, M Oveisi, ... European radiology 29, 6867-6879, 2019 | 102 | 2019 |
| Assessment and integration of publicly available SAGE, cDNA microarray, and oligonucleotide microarray expression data for global coexpression analyses OL Griffith, ED Pleasance, DL Fulton, M Oveisi, M Ester, AS Siddiqui, ... Genomics 86 (4), 476-488, 2005 | 68 | 2005 |
| 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 | 63 | 2021 |
| 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 |
| 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 | 61 | 2022 |
| 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 | 61 | 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 | 60 | 2022 |
| Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature Z Khodabakhshi, S Mostafaei, H Arabi, M Oveisi, I Shiri, H Zaidi Computers in biology and medicine 136, 104752, 2021 | 60 | 2021 |
| 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 | 60 | 2020 |
| DiscoverySpace: an interactive data analysis application N Robertson, M Oveisi-Fordorei, SD Zuyderduyn, RJ Varhol, C Fjell, ... Genome biology 8, 1-13, 2007 | 58 | 2007 |
| 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 | 56 | 2022 |
| Overall survival prediction in renal cell carcinoma patients using computed tomography radiomic and clinical information Z Khodabakhshi, M Amini, S Mostafaei, A Haddadi Avval, M Nazari, ... Journal of digital imaging 34, 1086-1098, 2021 | 49 | 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 |
| Advances in artificial intelligence X Su, TM Khoshgoftaar Proceedings of 17th Australian Joint Conference on Artificial Intelligence, 2009 | 28* | 2009 |
| Myocardial function prediction after coronary artery bypass grafting using mri radiomic features and machine learning algorithms F Arian, M Amini, S Mostafaei, K Rezaei Kalantari, A Haddadi Avval, ... Journal of digital imaging 35 (6), 1708-1718, 2022 | 26 | 2022 |
| 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 | 24 | 2023 |
| PET/CT radiomic sequencer for prediction of EGFR and KRAS mutation status in NSCLC patients I Shiri, H Maleki, G Hajianfar, H Abdollahi, S Ashrafinia, MG Oghli, M Hatt, ... 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 15 | 2018 |
Habib Zaidi, FIEEE, FAIMBE, FAAPM,...Full Professor, Geneva University Hospital and University of Geneva在 unige.ch 的电子邮件经过验证
