| Current worldwide nuclear cardiology practices and radiation exposure: results from the 65 country IAEA Nuclear Cardiology Protocols Cross-Sectional Study (INCAPS) AJ Einstein, TNB Pascual, M Mercuri, G Karthikeyan, JV Vitola, ... European heart journal 36 (26), 1689-1696, 2015 | 204 | 2015 |
| The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies I Shiri, A Rahmim, P Ghaffarian, P Geramifar, H Abdollahi, ... European radiology 27, 4498-4509, 2017 | 202 | 2017 |
| 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 | 105 | 2019 |
| Controlling evolution of protein corona: A prosperous approach to improve chitosan-based nanoparticle biodistribution and half-life FSM Tekie, M Hajiramezanali, P Geramifar, M Raoufi, R Dinarvand, ... Scientific reports 10 (1), 9664, 2020 | 104 | 2020 |
| 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 | 103 | 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 | 97 | 2020 |
| Targeted delivery system based on gemcitabine-loaded silk fibroin nanoparticles for lung cancer therapy F Mottaghitalab, M Kiani, M Farokhi, SC Kundu, RL Reis, M Gholami, ... ACS applied materials & interfaces 9 (37), 31600-31611, 2017 | 96 | 2017 |
| 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 | 67 | 2020 |
| 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 | 63 | 2022 |
| 68Ga-radiolabeled bombesin-conjugated to trimethyl chitosan-coated superparamagnetic nanoparticles for molecular imaging: preparation, characterization and … M Hajiramezanali, F Atyabi, M Mosayebnia, M Akhlaghi, P Geramifar, ... International journal of nanomedicine, 2591-2605, 2019 | 53 | 2019 |
| Deep learning–based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance N Aghakhan Olia, A Kamali-Asl, S Hariri Tabrizi, P Geramifar, ... European journal of nuclear medicine and molecular imaging, 1-15, 2022 | 49 | 2022 |
| Neo-adjuvant chemoradiotherapy response prediction using MRI based ensemble learning method in rectal cancer patients SP Shayesteh, A Alikhassi, AF Esfahani, M Miraie, P Geramifar, ... Physica Medica 62, 111-119, 2019 | 44 | 2019 |
| Preparation and Evaluation of 68Ga-ECC as a PET Renal Imaging Agent A Mirzaei, AR Jalilian, A Aghanejad, M Mazidi, H Yousefnia, G Shabani, ... Nuclear medicine and molecular imaging 49, 208-216, 2015 | 44 | 2015 |
| Diagnostic efficiency of 68Ga-DOTATATE PET/CT as compared to 99mTc-Octreotide SPECT/CT and conventional morphologic modalities in neuroendocrine tumors B Fallahi, R Manafi-Farid, M Eftekhari, A Fard-Esfahani, ... Asia Oceania Journal of Nuclear Medicine and Biology 7 (2), 129, 2019 | 42 | 2019 |
| Optimized production and quality control of 68Ga-DOTATATE A Aghanejad, AR Jalilian, S Maus, H Yousefnia, P Geramifar, D Beiki Iranian Journal of Nuclear Medicine 24 (1), 29, 2016 | 42 | 2016 |
| Respiratory-Induced Errors in Tumor Quantification and Delineation in CT Attenuation-Corrected PET Images: Effects of Tumor Size, Tumor Location, and Respiratory Trace: A … P Geramifar, MS Zafarghandi, P Ghafarian, A Rahmim, MR Ay Molecular Imaging and Biology, 1-11, 2013 | 36 | 2013 |
| Evaluation of 99mTc-TRODAT-1 SPECT in the diagnosis of Parkinson’s disease versus other progressive movement disorders B Fallahi, A Esmaeili, D Beiki, S Oveisgharan, H Noorollahi-Moghaddam, ... Annals of nuclear medicine 30, 153-162, 2016 | 34 | 2016 |
| Evaluating the application of tissue-specific dose kernels instead of water dose kernels in internal dosimetry: a Monte Carlo study M Khazaee Moghadam, A Kamali Asl, P Geramifar, H Zaidi Cancer Biotherapy and Radiopharmaceuticals 31 (10), 367-379, 2016 | 33 | 2016 |
| Development of Ga-68 labeled, biotinylated thiosemicarbazone dextran-coated iron oxide nanoparticles as multimodal PET/MRI probe N Gholipour, M Akhlaghi, AM Kheirabadi, P Geramifar, D Beiki International journal of biological macromolecules 148, 932-941, 2020 | 31 | 2020 |
| PEGylated superparamagnetic iron oxide nanoparticles labeled with 68Ga as a PET/MRI contrast agent: a biodistribution study A Lahooti, S Sarkar, H Saligheh Rad, A Gholami, S Nosrati, RN Muller, ... Journal of Radioanalytical and Nuclear Chemistry 311, 769-774, 2017 | 31 | 2017 |
Arman RahmimProfessor of Radiology, Physics and Biomedical Engineering, University of British ColumbiaVerified email at ubc.ca
