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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.
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. Commandeur F, et al. Among authors: chen x. Cardiovasc Res. 2020 Dec 1;116(14):2216-2225. doi: 10.1093/cvr/cvz321. Cardiovasc Res. 2020. PMID: 31853543 Free PMC article. Clinical Trial.
Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study.
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. Tamarappoo BK, et al. Among authors: chen x. Atherosclerosis. 2021 Feb;318:76-82. doi: 10.1016/j.atherosclerosis.2020.11.008. Epub 2020 Nov 13. Atherosclerosis. 2021. PMID: 33239189 Free PMC article.
Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects.
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. Eisenberg E, et al. Among authors: chen x. Circ Cardiovasc Imaging. 2020 Feb;13(2):e009829. doi: 10.1161/CIRCIMAGING.119.009829. Epub 2020 Feb 17. Circ Cardiovasc Imaging. 2020. PMID: 32063057 Free PMC article. Clinical Trial.
Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective 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. Lin A, et al. Among authors: chen x. Cardiovasc Diabetol. 2021 Jan 29;20(1):27. doi: 10.1186/s12933-021-01220-x. Cardiovasc Diabetol. 2021. PMID: 33514365 Free PMC article.
Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects.
Goeller M, Achenbach S, Marwan M, Doris MK, Cadet S, Commandeur F, Chen X, Slomka PJ, Gransar H, Cao JJ, Wong ND, Albrecht MH, Rozanski A, Tamarappoo BK, Berman DS, Dey D. Goeller M, et al. Among authors: chen x. J Cardiovasc Comput Tomogr. 2018 Jan-Feb;12(1):67-73. doi: 10.1016/j.jcct.2017.11.007. Epub 2017 Nov 24. J Cardiovasc Comput Tomogr. 2018. PMID: 29233634 Free PMC article.
Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography.
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. Goeller M, et al. Among authors: chen x. Eur Heart J Cardiovasc Imaging. 2019 Jun 1;20(6):636-643. doi: 10.1093/ehjci/jez013. Eur Heart J Cardiovasc Imaging. 2019. PMID: 30789223 Free PMC article.
Deep learning-based stenosis quantification from coronary CT Angiography.
Hong Y, Commandeur F, Cadet S, Goeller M, Doris MK, Chen X, Kwiecinski J, Berman DS, Slomka PJ, Chang HJ, Dey D. Hong Y, et al. Among authors: chen x. Proc SPIE Int Soc Opt Eng. 2019 Feb;10949:109492I. doi: 10.1117/12.2512168. Epub 2019 Mar 15. Proc SPIE Int Soc Opt Eng. 2019. PMID: 31762536 Free PMC article.
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