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Artificial intelligence in cardiac radiology.
van Assen M, Muscogiuri G, Caruso D, Lee SJ, Laghi A, De Cecco CN. van Assen M, et al. Radiol Med. 2020 Nov;125(11):1186-1199. doi: 10.1007/s11547-020-01277-w. Epub 2020 Sep 18. Radiol Med. 2020. PMID: 32946002 Review.
Nonbinary quantification technique accounting for myocardial infarct heterogeneity: Feasibility of applying percent infarct mapping in patients.
Mastrodicasa D, Elgavish GA, Schoepf UJ, Suranyi P, van Assen M, Albrecht MH, De Cecco CN, van der Geest RJ, Hardy R, Mantini C, Griffith LP, Ruzsics B, Varga-Szemes A. Mastrodicasa D, et al. Among authors: van assen m, van der geest rj. J Magn Reson Imaging. 2018 Feb 15. doi: 10.1002/jmri.25973. Online ahead of print. J Magn Reson Imaging. 2018. PMID: 29446527
Current and future applications of CT coronary calcium assessment.
Tesche C, Duguay TM, Schoepf UJ, van Assen M, De Cecco CN, Albrecht MH, Varga-Szemes A, Bayer RR 2nd, Ebersberger U, Nance JW, Thilo C. Tesche C, et al. Among authors: van assen m. Expert Rev Cardiovasc Ther. 2018 Jun;16(6):441-453. doi: 10.1080/14779072.2018.1474347. Epub 2018 May 16. Expert Rev Cardiovasc Ther. 2018. PMID: 29734858 Review.
Machine learning in cardiac CT: Basic concepts and contemporary data.
Singh G, Al'Aref SJ, Van Assen M, Kim TS, van Rosendael A, Kolli KK, Dwivedi A, Maliakal G, Pandey M, Wang J, Do V, Gummalla M, De Cecco CN, Min JK. Singh G, et al. Among authors: van assen m, van rosendael a. J Cardiovasc Comput Tomogr. 2018 May-Jun;12(3):192-201. doi: 10.1016/j.jcct.2018.04.010. Epub 2018 Apr 30. J Cardiovasc Comput Tomogr. 2018. PMID: 29754806 Review.
Dual-energy CT of the heart current and future status.
Albrecht MH, De Cecco CN, Schoepf UJ, Spandorfer A, Eid M, De Santis D, Varga-Szemes A, van Assen M, von Knebel-Doeberitz PL, Tesche C, Puntmann VO, Nagel E, Vogl TJ, Nance JW. Albrecht MH, et al. Among authors: van assen m. Eur J Radiol. 2018 Aug;105:110-118. doi: 10.1016/j.ejrad.2018.05.028. Epub 2018 Jun 2. Eur J Radiol. 2018. PMID: 30017266 Review.
Feasibility of extracellular volume quantification using dual-energy CT.
van Assen M, De Cecco CN, Sahbaee P, Eid MH, Griffith LP, Bauer MJ, Savage RH, Varga-Szemes A, Oudkerk M, Vliegenthart R, Schoepf UJ. van Assen M, et al. J Cardiovasc Comput Tomogr. 2019 Jan-Feb;13(1):81-84. doi: 10.1016/j.jcct.2018.10.011. Epub 2018 Oct 22. J Cardiovasc Comput Tomogr. 2019. PMID: 30377090
Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques.
Mastrodicasa D, Albrecht MH, Schoepf UJ, Varga-Szemes A, Jacobs BE, Gassenmaier S, De Santis D, Eid MH, van Assen M, Tesche C, Mantini C, De Cecco CN. Mastrodicasa D, et al. Among authors: van assen m. J Cardiovasc Comput Tomogr. 2019 Nov-Dec;13(6):331-335. doi: 10.1016/j.jcct.2018.10.026. Epub 2018 Oct 26. J Cardiovasc Comput Tomogr. 2019. PMID: 30391256
Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia.
von Knebel Doeberitz PL, De Cecco CN, Schoepf UJ, Duguay TM, Albrecht MH, van Assen M, Bauer MJ, Savage RH, Pannell JT, De Santis D, Johnson AA, Varga-Szemes A, Bayer RR, Schönberg SO, Nance JW, Tesche C. von Knebel Doeberitz PL, et al. Among authors: van assen m. Eur Radiol. 2019 May;29(5):2378-2387. doi: 10.1007/s00330-018-5834-z. Epub 2018 Dec 6. Eur Radiol. 2019. PMID: 30523456
149 results