| Review of clinical applications for virtual monoenergetic dual-energy CT MH Albrecht, TJ Vogl, SS Martin, JW Nance, TM Duguay, JL Wichmann, ... Radiology 293 (2), 260-271, 2019 | 177 | 2019 |
| 36th international symposium on intensive care and emergency medicine: Brussels, Belgium. 15-18 March 2016 RM Bateman, MD Sharpe, JE Jagger, CG Ellis, J Solé-Violán, ... Critical care 20, 13-182, 2016 | 164 | 2016 |
| Machine learning in cardiac CT: basic concepts and contemporary data G Singh, SJ Al’Aref, M Van Assen, TS Kim, A van Rosendael, KK Kolli, ... Journal of Cardiovascular Computed Tomography 12 (3), 192-201, 2018 | 114 | 2018 |
| Coronary CT angiography–derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia PL von Knebel Doeberitz, CN De Cecco, UJ Schoepf, TM Duguay, ... European radiology 29, 2378-2387, 2019 | 90 | 2019 |
| Artificial intelligence in cardiac radiology M van Assen, G Muscogiuri, D Caruso, SJ Lee, A Laghi, CN De Cecco La radiologia medica 125 (11), 1186-1199, 2020 | 73 | 2020 |
| Evaluation of a deep learning–based automated CT coronary artery calcium scoring algorithm SS Martin, M van Assen, S Rapaka, HT Hudson Jr, AM Fischer, ... Cardiovascular Imaging 13 (2_Part_1), 524-526, 2020 | 64 | 2020 |
| Artificial intelligence from A to Z: from neural network to legal framework M van Assen, SJ Lee, CN De Cecco European journal of radiology 129, 109083, 2020 | 58 | 2020 |
| Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease M Van Assen, CN De Cecco, M Eid, P von Knebel Doeberitz, ... Journal of cardiovascular computed tomography 13 (3), 26-33, 2019 | 58 | 2019 |
| Automated plaque analysis for the prognostication of major adverse cardiac events M van Assen, A Varga-Szemes, UJ Schoepf, TM Duguay, HT Hudson, ... European Journal of Radiology 116, 76-83, 2019 | 57 | 2019 |
| Accuracy of an artificial intelligence deep learning algorithm implementing a recurrent neural network with long short-term memory for the automated detection of calcified … AM Fischer, M Eid, CN De Cecco, MA Gulsun, M Van Assen, JW Nance, ... Journal of thoracic imaging 35, S49-S57, 2020 | 53 | 2020 |
| Diagnostic performance of semi-quantitative and quantitative stress CMR perfusion analysis: a meta-analysis R van Dijk, M van Assen, R Vliegenthart, GH De Bock, P van der Harst, ... Journal of Cardiovascular Magnetic Resonance 19 (1), 92, 2016 | 51 | 2016 |
| Towards reference values of pericoronary adipose tissue attenuation: impact of coronary artery and tube voltage in coronary computed tomography angiography R Ma, D Ties, M van Assen, GJ Pelgrim, G Sidorenkov, PMA van Ooijen, ... European radiology 30, 6838-6846, 2020 | 49 | 2020 |
| Diagnostic performance of fractional flow reserve derived from coronary CT angiography for detection of lesion-specific ischemia: a multi-center study and meta-analysis CX Tang, YN Wang, F Zhou, UJ Schoepf, M van Assen, RE Stroud, JH Li, ... European journal of radiology 116, 90-97, 2019 | 49 | 2019 |
| Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: a validation study M van Assen, SS Martin, A Varga-Szemes, S Rapaka, S Cimen, P Sharma, ... European journal of radiology 134, 109428, 2021 | 45 | 2021 |
| Impact of coronary computerized tomography angiography-derived plaque quantification and machine-learning computerized tomography fractional flow reserve on adverse cardiac outcome PL von Knebel Doeberitz, CN De Cecco, UJ Schoepf, MH Albrecht, ... The American Journal of Cardiology 124 (9), 1340-1348, 2019 | 43 | 2019 |
| Myocardial extracellular volume fraction to differentiate healthy from cardiomyopathic myocardium using dual-source dual-energy CT AF Abadia, M van Assen, SS Martin, V Vingiani, LP Griffith, DA Giovagnoli, ... Journal of cardiovascular computed tomography 14 (2), 162-167, 2020 | 41 | 2020 |
| Comparison of artificial intelligence–based fully automatic chest CT emphysema quantification to pulmonary function testing AM Fischer, A Varga-Szemes, M van Assen, LP Griffith, P Sahbaee, ... American Journal of Roentgenology 214 (5), 1065-1071, 2020 | 39 | 2020 |
| Dual-energy CT of the heart current and future status MH Albrecht, CN De Cecco, UJ Schoepf, A Spandorfer, M Eid, ... European Journal of Radiology 105, 110-118, 2018 | 38 | 2018 |
| Artificial intelligence in coronary computed tomography angiography: from anatomy to prognosis G Muscogiuri, M Van Assen, C Tesche, CN De Cecco, M Chiesa, ... BioMed research international 2020 (1), 6649410, 2020 | 36 | 2020 |
| Focal pericoronary adipose tissue attenuation is related to plaque presence, plaque type, and stenosis severity in coronary CTA R Ma, M Van Assen, D Ties, GJ Pelgrim, R van Dijk, G Sidorenkov, ... European Radiology 31, 7251-7261, 2021 | 34 | 2021 |
Carlo N. De Cecco, MD, PhDEmory University, Professor of Radiology and Biomedical Informatics在 emory.edu 的电子邮件经过验证
