Razipour, Aryabod
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selected publications: Authorship 6702
selected publications: Authorship 5863
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fax: Not Available
research areas: Adipose Tissue
research areas: Coronary Artery Disease
research areas: Pericardium
research areas: Computed Tomography Angiography
research areas: Coronary Angiography
mailing address: https://profiles.cdrewu.edu/profile/3297201
middle name or initial: Not Available
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Computed Tomography Angiography
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Epicardial fat is associated with duration of antiretroviral therapy and coronary atherosclerosis.
PubMed Identifier: 24809732
author list: Brener M, Ketlogetswe K, Budoff M, Jacobson LP, Li X, Rezaeian P, Razipour A, Palella FJ, Kingsley L, Witt MD, George RT, Post WS
published in: AIDS (London, England)
information resource reference: Epicardial fat is associated with duration of antiretroviral therapy and coronary atherosclerosis. AIDS. 2014 Jul 17; 28(11):1635-44.
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Use of noninvasive imaging in the evaluation of coarctation of aorta.
PubMed Identifier: 23321836
author list: Darabian S, Zeb I, Rezaeian P, Razipour A, Budoff M
published in: Journal of computer assisted tomography
information resource reference: Use of noninvasive imaging in the evaluation of coarctation of aorta. J Comput Assist Tomogr. 2013 Jan-Feb; 37(1):75-8.
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https://profiles.cdrewu.edu/profile/222014
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author list: Rezaeian P, Miller PE, Haberlen SA, Razipour A, Bahrami H, Castillo R, Witt MD, Kingsley L, Palella FJ, Nakanishi R, Matsumoto S, Alani A, Jacobson LP, Post WS, Budoff MJ
published in: Journal of cardiovascular computed tomography
information resource reference: Extra-coronary calcification (aortic valve calcification, mitral annular calcification, aortic valve ring calcification and thoracic aortic calcification) in HIV seropositive and seronegative men: Multicenter AIDS Cohort Study. J Cardiovasc Comput Tomogr. 2016 May-Jun; 10(3):229-236.
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label: Extra-coronary calcification (aortic valve calcification, mitral annular calcification, aortic valve ring calcification and thoracic aortic calcification) in HIV seropositive and seronegative men: Multicenter AIDS Cohort Study.

Seto, Arnold
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Rezaeian, Panteha
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Epicardial and intra-thoracic adipose tissue and cardiovascular calcifications in type 1 diabetes (T1D) in epidemiology of diabetes Interventions and Complications (EDIC): A pilot study.
PubMed Identifier: 38584607
author list: Rezaeian P, Backlund JC, Zaveri M, Nakanishi R, Matsumoto S, Alani A, Razipour A, Lachin JM, Budoff M, DCCT/EDIC Research Group
published in: American journal of preventive cardiology
information resource reference: Epicardial and intra-thoracic adipose tissue and cardiovascular calcifications in type 1 diabetes (T1D) in epidemiology of diabetes Interventions and Complications (EDIC): A pilot study. Am J Prev Cardiol. 2024 Jun; 18:100650.
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linked information resource: Use of noninvasive imaging in the evaluation of coarctation of aorta.

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linked information resource: Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19.

Authorship 5308
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linked author: Razipour, Aryabod
linked information resource: Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study.

Authorship 5375
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linked information resource: Epicardial and intra-thoracic adipose tissue and cardiovascular calcifications in type 1 diabetes (T1D) in epidemiology of diabetes Interventions and Complications (EDIC): A pilot study.

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linked information resource: AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.

Authorship 5551
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linked information resource: Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.

Authorship 5577
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linked author: Razipour, Aryabod
linked information resource: Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks.

Authorship 5657
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linked author: Razipour, Aryabod
linked information resource: Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study.

Authorship 5863
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linked information resource: Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study.

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linked information resource: Epicardial fat is associated with duration of antiretroviral therapy and coronary atherosclerosis.

Authorship 6558
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linked information resource: Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.

Authorship 6640
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linked information resource: Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry.

Authorship 6702
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linked information resource: Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects.

Authorship 6731
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linked author: Razipour, Aryabod
linked information resource: Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography.

Authorship 6948
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linked author: Razipour, Aryabod
linked information resource: Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.

Authorship 7112
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linked information resource: Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks.

Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.
PubMed Identifier: 31853543
author list: Commandeur F, Slomka PJ, Goeller M, Chen X, Cadet S, Razipour A, McElhinney P, Gransar H, Cantu S, Miller RJH, Rozanski A, Achenbach S, Tamarappoo BK, Berman DS, Dey D
published in: Cardiovascular research
information resource reference: Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study. Cardiovasc Res. 2020 12 01; 116(14):2216-2225.
journal title abbreviation: Cardiovasc Res
publication date: 2020-12-01T00:00:00
year: 2020
type: Academic Article
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Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19.
PubMed Identifier: 33221381
author list: Grodecki K, Lin A, Razipour A, Cadet S, McElhinney PA, Chan C, Pressman BD, Julien P, Maurovich-Horvat P, Gaibazzi N, Thakur U, Mancini E, Agalbato C, Men? R, Parati G, Cernigliaro F, Nerlekar N, Torlasco C, Pontone G, Slomka PJ, Dey D
published in: Metabolism: clinical and experimental
information resource reference: Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19. Metabolism. 2021 02; 115:154436.
journal title abbreviation: Metabolism
publication date: 2020-11-19T00:00:00
year: 2020
type: Academic Article
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Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study.
PubMed Identifier: 33239189
author list: Tamarappoo BK, Lin A, Commandeur F, McElhinney PA, Cadet S, Goeller M, Razipour A, Chen X, Gransar H, Cantu S, Miller RJ, Achenbach S, Friedman J, Hayes S, Thomson L, Wong ND, Rozanski A, Slomka PJ, Berman DS, Dey D
published in: Atherosclerosis
information resource reference: Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study. Atherosclerosis. 2021 02; 318:76-82.
journal title abbreviation: Atherosclerosis
publication date: 2020-11-13T00:00:00
year: 2020
type: Academic Article
type: Article
type: Document
type: Information Resource

Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry.
PubMed Identifier: 33778629
author list: Grodecki K, Lin A, Cadet S, McElhinney PA, Razipour A, Chan C, Pressman B, Julien P, Maurovich-Horvat P, Gaibazzi N, Thakur U, Mancini E, Agalbato C, Men? R, Parati G, Cernigliaro F, Nerlekar N, Torlasco C, Pontone G, Slomka PJ, Dey D
published in: Radiology. Cardiothoracic imaging
information resource reference: Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry. Radiol Cardiothorac Imaging. 2020 Oct; 2(5):e200389.
journal title abbreviation: Radiol Cardiothorac Imaging
publication date: 2020-10-01T00:00:00
year: 2020
type: Academic Article
type: Article
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Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks.
PubMed Identifier: 33821209
author list: Grodecki K, Killekar A, Lin A, Cadet S, McElhinney P, Razipour A, Chan C, Pressman BD, Julien P, Simon J, Maurovich-Horvat P, Gaibazzi N, Thakur U, Mancini E, Agalbato C, Munechika J, Matsumoto H, Men? R, Parati G, Cernigliaro F, Nerlekar N, Torlasco C, Pontone G, Dey D, Slomka PJ
published in: ArXiv
information resource reference: Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. ArXiv. 2021 Mar 31.
journal title abbreviation: ArXiv
publication date: 2021-03-31T00:00:00
year: 2021
type: Academic Article
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Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography.
PubMed Identifier: 30789223
author list: Goeller M, Tamarappoo BK, Kwan AC, Cadet S, Commandeur F, Razipour A, Slomka PJ, Gransar H, Chen X, Otaki Y, Friedman JD, Cao JJ, Albrecht MH, Bittner DO, Marwan M, Achenbach S, Berman DS, Dey D
published in: European heart journal. Cardiovascular Imaging
information resource reference: Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography. Eur Heart J Cardiovasc Imaging. 2019 Jun 01; 20(6):636-643.
journal title abbreviation: Eur Heart J Cardiovasc Imaging
publication date: 2019-06-01T00:00:00
year: 2019
type: Academic Article
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Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects.
PubMed Identifier: 32063057
author list: Eisenberg E, McElhinney PA, Commandeur F, Chen X, Cadet S, Goeller M, Razipour A, Gransar H, Cantu S, Miller RJH, Slomka PJ, Wong ND, Rozanski A, Achenbach S, Tamarappoo BK, Berman DS, Dey D
published in: Circulation. Cardiovascular imaging
information resource reference: Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects. Circ Cardiovasc Imaging. 2020 02; 13(2):e009829.
journal title abbreviation: Circ Cardiovasc Imaging
publication date: 2020-02-17T00:00:00
year: 2020
type: Academic Article
type: Article
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Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study.
PubMed Identifier: 32090206
author list: Commandeur F, Goeller M, Razipour A, Cadet S, Hell MM, Kwiecinski J, Chen X, Chang HJ, Marwan M, Achenbach S, Berman DS, Slomka PJ, Tamarappoo BK, Dey D
published in: Radiology. Artificial intelligence
information resource reference: Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study. Radiol Artif Intell. 2019 Nov 27; 1(6):e190045.
journal title abbreviation: Radiol Artif Intell
publication date: 2019-11-27T00:00:00
year: 2019
type: Academic Article
type: Article
type: Document
type: Information Resource

Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.
PubMed Identifier: 33514365
author list: Lin A, Wong ND, Razipour A, McElhinney PA, Commandeur F, Cadet SJ, Gransar H, Chen X, Cantu S, Miller RJH, Nerlekar N, Wong DTL, Slomka PJ, Rozanski A, Tamarappoo BK, Berman DS, Dey D
published in: Cardiovascular diabetology
information resource reference: Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study. Cardiovasc Diabetol. 2021 01 29; 20(1):27.
journal title abbreviation: Cardiovasc Diabetol
publication date: 2021-01-29T00:00:00
year: 2021
type: Academic Article
type: Article
type: Document
type: Information Resource

Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study.
PubMed Identifier: 35337643
author list: Lin A, Manral N, McElhinney P, Killekar A, Matsumoto H, Kwiecinski J, Pieszko K, Razipour A, Grodecki K, Park C, Otaki Y, Doris M, Kwan AC, Han D, Kuronuma K, Flores Tomasino G, Tzolos E, Shanbhag A, Goeller M, Marwan M, Gransar H, Tamarappoo BK, Cadet S, Achenbach S, Nicholls SJ, Wong DT, Berman DS, Dweck M, Newby DE, Williams MC, Slomka PJ, Dey D
published in: The Lancet. Digital health
information resource reference: Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study. Lancet Digit Health. 2022 04; 4(4):e256-e265.
journal title abbreviation: Lancet Digit Health
publication date: 2022-04-01T00:00:00
year: 2022
type: Academic Article
type: Article
type: Document
type: Information Resource

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks.
PubMed Identifier: 36090960
author list: Killekar A, Grodecki K, Lin A, Cadet S, McElhinney P, Razipour A, Chan C, Pressman BD, Julien P, Chen P, Simon J, Maurovich-Horvat P, Gaibazzi N, Thakur U, Mancini E, Agalbato C, Munechika J, Matsumoto H, Men? R, Parati G, Cernigliaro F, Nerlekar N, Torlasco C, Pontone G, Dey D, Slomka P
published in: Journal of medical imaging (Bellingham, Wash.)
information resource reference: Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks. J Med Imaging (Bellingham). 2022 Sep; 9(5):054001.
journal title abbreviation: J Med Imaging (Bellingham)
publication date: 2022-09-06T00:00:00
year: 2022
type: Academic Article
type: Article
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Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.
PubMed Identifier: 39405390
author list: Miller RJH, Manral N, Lin A, Shanbhag A, Park C, Kwiecinski J, Killekar A, McElhinney P, Matsumoto H, Razipour A, Grodecki K, Kwan AC, Han D, Kuronuma K, Flores Tomasino G, Geers J, Goeller M, Marwan M, Gransar H, Tamarappoo BK, Cadet S, Cheng VY, Achenbach S, Nicholls SJ, Wong DT, Chen L, Cao JJ, Berman DS, Dweck MR, Newby DE, Williams MC, Slomka PJ, Dey D
published in: Circulation. Cardiovascular imaging
information resource reference: Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis. Circ Cardiovasc Imaging. 2024 Oct; 17(10):e016958.
journal title abbreviation: Circ Cardiovasc Imaging
publication date: 2024-09-30T00:00:00
year: 2024
type: Academic Article
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AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.
PubMed Identifier: 39808995
author list: Razipour A, Grodecki K, Manral N, Geers J, Gransar H, Shanbhag A, Miller RJH, Rozanski A, Berman DS, Slomka PJ, Dey D
published in: Atherosclerosis
information resource reference: AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects. Atherosclerosis. 2024 Dec 22; 401:119098.
journal title abbreviation: Atherosclerosis
publication date: 2024-12-22T00:00:00
year: 2024
type: Academic Article
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Pericardium
MeSH DescriptorUI: D010496
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Authorship 7725
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linked information resource: Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial.

Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial.
PubMed Identifier: 40050004
author list: Geers J, Manral N, Razipour A, Park C, Tomasino GF, Xing E, Grodecki K, Kwiecinski J, Pawade T, Doris MK, Bing R, White AC, Droogmans S, Cosyns B, Slomka PJ, Newby DE, Dweck MR, Dey D
published in: Heart (British Cardiac Society)
information resource reference: Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial. Heart. 2025 Jun 26; 111(14):686-694.
journal title abbreviation: Heart
publication date: 2025-06-26T00:00:00
year: 2025
type: Academic Article
type: Article
type: Document
type: Information Resource

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