Brener M, Ketlogetswe K, Budoff M, Jacobson LP, Li X, Rezaeian P, Razipour A, Palella FJ, Kingsley L, Witt MD, George RT, Post WS
Epicardial fat is associated with duration of antiretroviral therapy and coronary atherosclerosis. AIDS. 2014 Jul 17; 28(11):1635-44.
Epicardial fat is associated with duration of antiretroviral therapy and coronary atherosclerosis.
Darabian S, Zeb I, Rezaeian P, Razipour A, Budoff M
Use of noninvasive imaging in the evaluation of coarctation of aorta. J Comput Assist Tomogr. 2013 Jan-Feb; 37(1):75-8.
Use of noninvasive imaging in the evaluation of coarctation of aorta.
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
Journal of cardiovascular computed tomography
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.
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.
Rezaeian P, Backlund JC, Zaveri M, Nakanishi R, Matsumoto S, Alani A, Razipour A, Lachin JM, Budoff M, DCCT/EDIC Research Group
American journal of preventive cardiology
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.
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.
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
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.
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.
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
Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19. Metabolism. 2021 02; 115:154436.
Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19.
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
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.
Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study.
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
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.
Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry.
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
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. ArXiv. 2021 Mar 31.
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks.
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
European heart journal. Cardiovascular Imaging
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.
Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography.
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
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.
Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects.
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
Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study. Radiol Artif Intell. 2019 Nov 27; 1(6):e190045.
Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study.
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
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.
Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.
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
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.
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study.
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
Journal of medical imaging (Bellingham, Wash.)
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.
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks.
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
Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis. Circ Cardiovasc Imaging. 2024 Oct; 17(10):e016958.
Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.
Razipour A, Grodecki K, Manral N, Geers J, Gransar H, Shanbhag A, Miller RJH, Rozanski A, Berman DS, Slomka PJ, Dey D
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.
AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.
Charles R. Drew University of Medicine and Science
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
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.
Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial.