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A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.
Oikonomou EK, Williams MC, Kotanidis CP, Desai MY, Marwan M, Antonopoulos AS, Thomas KE, Thomas S, Akoumianakis I, Fan LM, Kesavan S, Herdman L, Alashi A, Centeno EH, Lyasheva M, Griffin BP, Flamm SD, Shirodaria C, Sabharwal N, Kelion A, Dweck MR, Van Beek EJR, Deanfield J, Hopewell JC, Neubauer S, Channon KM, Achenbach S, Newby DE, Antoniades C. Oikonomou EK, et al. Among authors: achenbach s. Eur Heart J. 2019 Nov 14;40(43):3529-3543. doi: 10.1093/eurheartj/ehz592. Eur Heart J. 2019. PMID: 31504423 Free PMC article.
Cardiac computed tomography: indications, applications, limitations, and training requirements: report of a Writing Group deployed by the Working Group Nuclear Cardiology and Cardiac CT of the European Society of Cardiology and the European Council of Nuclear Cardiology.
Schroeder S, Achenbach S, Bengel F, Burgstahler C, Cademartiri F, de Feyter P, George R, Kaufmann P, Kopp AF, Knuuti J, Ropers D, Schuijf J, Tops LF, Bax JJ; Working Group Nuclear Cardiology and Cardiac CT; European Society of Cardiology; European Council of Nuclear Cardiology. Schroeder S, et al. Among authors: achenbach s. Eur Heart J. 2008 Feb;29(4):531-56. doi: 10.1093/eurheartj/ehm544. Epub 2007 Dec 15. Eur Heart J. 2008. PMID: 18084017 Free article. Review.
Developments in coronary CT angiography.
Achenbach S. Achenbach S. Curr Cardiol Rep. 2008 Feb;10(1):51-9. doi: 10.1007/s11886-008-0011-7. Curr Cardiol Rep. 2008. PMID: 18417002 Review.
1,028 results