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Amir Reza Radmard
Amir Reza Radmard
Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences
Verified email at tums.ac.ir
Title
Cited by
Cited by
Year
Five common cancers in Iran
K SH, AR Sajadi, AR Radmard, H Khademi
ARCHIVES OF IRANIAN MEDICINE 13 (2), 143-146, 2010
540*2010
Extrapulmonary manifestations of COVID-19: Radiologic and clinical overview
S Behzad, L Aghaghazvini, AR Radmard, A Gholamrezanezhad
Clinical imaging 66, 35-41, 2020
3092020
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
1952009
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
1742021
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
1682010
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
1602009
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
1232020
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
104*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
962021
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
622011
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
602007
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
572015
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
562022
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
422022
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
422012
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
402021
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
352022
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
352020
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
312021
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
302021
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