| Five common cancers in Iran K SH, AR Sajadi, AR Radmard, H Khademi ARCHIVES OF IRANIAN MEDICINE 13 (2), 143-146, 2010 | 545* | 2010 |
| Extrapulmonary manifestations of COVID-19: Radiologic and clinical overview S Behzad, L Aghaghazvini, AR Radmard, A Gholamrezanezhad Clinical imaging 66, 35-41, 2020 | 315 | 2020 |
| Childhood Hygienic Practice and Family Education Status Determine the Prevalence of Helicobacter pylori Infection in Iran M Nouraie, S Latifi‐Navid, H Rezvan, AR Radmard, M Maghsudlu, ... Helicobacter 14 (1), 40-46, 2009 | 200 | 2009 |
| SARS-CoV-2 antibody seroprevalence in the general population and high-risk occupational groups across 18 cities in Iran: a population-based cross-sectional study H Poustchi, M Darvishian, Z Mohammadi, A Shayanrad, A Delavari, ... The Lancet Infectious Diseases 21 (4), 473-481, 2021 | 178 | 2021 |
| Seroprevalence of hepatitis C virus: the first population-based study from Iran S Merat, H Rezvan, M Nouraie, E Jafari, H Abolghasemi, AR Radmard, ... International Journal of Infectious Diseases 14, e113-e116, 2010 | 171 | 2010 |
| The prevalence of hepatitis B surface antigen and anti-hepatitis B core antibody in Iran: a population-based study SH Merat, H Rezvan, M NOURAEI, A Jamali, SH ASARI, ... ARCHIVES OF IRANIAN MEDICINE 12 (3), 225-231, 2009 | 162 | 2009 |
| Sofosbuvir and daclatasvir compared with standard of care in the treatment of patients admitted to hospital with moderate or severe coronavirus infection (COVID-19): a … A Sadeghi, A Ali Asgari, A Norouzi, Z Kheiri, A Anushirvani, M Montazeri, ... Journal of Antimicrobial Chemotherapy 75 (11), 3379-3385, 2020 | 123 | 2020 |
| CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images T Javaheri, M Homayounfar, Z Amoozgar, R Reiazi, F Homayounieh, ... NPJ digital medicine 4 (1), 29, 2021 | 107* | 2021 |
| 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 |
| Breast arterial calcification and risk of carotid atherosclerosis: focusing on the preferentially affected layer of the vessel wall N Sedighi, AR Radmard, A Radmehr, P Hashemi, A Hajizadeh, ... European journal of radiology 79 (2), 250-256, 2011 | 62 | 2011 |
| 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 | 60 | 2022 |
| Hygiene could affect GERD prevalence independently: a population-based study in Tehran M Nouraie, AR Radmard, H Zaer-Rezaii, H Razjouyan, ... Official journal of the American College of Gastroenterology| ACG 102 (7 …, 2007 | 60 | 2007 |
| Gallstone disease and obesity: a population-based study on abdominal fat distribution and gender differences AR Radmard, S Merat, S Kooraki, M Ashrafi, A Keshtkar, M Sharafkhah, ... Annals of hepatology 14 (5), 702-709, 2015 | 59 | 2015 |
| Diagnostic accuracy of age and alarm symptoms for upper GI malignancy in patients with dyspepsia in a GI clinic: a 7-year cross-sectional study H Khademi, AR Radmard, F Malekzadeh, F Kamangar, ... PLoS One 7 (6), e39173, 2012 | 44 | 2012 |
| 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 | 42 | 2022 |
| Predictive value of initial CT scan for various adverse outcomes in patients with COVID-19 pneumonia B Khosravi, L Aghaghazvini, M Sorouri, SN Atashi, M Abdollahi, ... Heart & Lung 50 (1), 13-20, 2021 | 40 | 2021 |
| Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors AA Tahereh Mahmoudi, Zahra Mousavi Kouzahkanan, Amir Reza Radmard, Raheleh ... Scientific Reports, 2022 | 39 | 2022 |
| Clinical characteristics, outcomes, and risk factors for mortality in hospitalized patients with COVID-19 and cancer history: a propensity score-matched study M Sorouri, A Kasaeian, H Mojtabavi, AR Radmard, S Kolahdoozan, ... Infectious Agents and Cancer 15, 1-11, 2020 | 36 | 2020 |
| Red meat consumption and risk of nonalcoholic fatty liver disease in a population with low meat consumption: the Golestan Cohort Study M Hashemian, S Merat, H Poustchi, E Jafari, AR Radmard, F Kamangar, ... Official journal of the American College of Gastroenterology| ACG 116 (8 …, 2021 | 32 | 2021 |
| Hybrid classification of diffuse liver diseases in ultrasound images using deep convolutional neural networks P Pasyar, T Mahmoudi, SZM Kouzehkanan, A Ahmadian, H Arabalibeik, ... Informatics in Medicine Unlocked 22, 100496, 2021 | 32 | 2021 |
