Co-Authors
This is a "connection" page, showing publications co-authored by Carlo De Cecco and Richard Bayer.
Connection Strength
1.736
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Noninvasive Derivation of Fractional Flow Reserve From Coronary Computed Tomographic Angiography: A Review. J Thorac Imaging. 2018 Mar; 33(2):88-96.
Score: 0.157
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Diagnostic accuracy of low and high tube voltage coronary CT angiography using an X-ray tube potential-tailored contrast medium injection protocol. Eur Radiol. 2018 May; 28(5):2134-2142.
Score: 0.154
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Diagnostic accuracy of coronary CT angiography using 3rd-generation dual-source CT and automated tube voltage selection: Clinical application in a non-obese and obese patient population. Eur Radiol. 2017 Jun; 27(6):2298-2308.
Score: 0.142
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Giant left ventricular pseudoaneurysm as a complication after mitral valve replacement surgery. Ann Thorac Surg. 2014 Oct; 98(4):1480.
Score: 0.124
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Incremental value of pharmacological stress cardiac dual-energy CT over coronary CT angiography alone for the assessment of coronary artery disease in a high-risk population. AJR Am J Roentgenol. 2014 Jul; 203(1):W70-7.
Score: 0.121
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The Feasibility, Tolerability, Safety, and Accuracy of Low-radiation Dynamic Computed Tomography Myocardial Perfusion Imaging With Regadenoson Compared With Single-photon Emission Computed Tomography. J Thorac Imaging. 2021 Nov 01; 36(6):345-352.
Score: 0.050
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Ischemia and outcome prediction by cardiac CT based machine learning. Int J Cardiovasc Imaging. 2020 Dec; 36(12):2429-2439.
Score: 0.046
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Value of Machine Learning-based Coronary CT Fractional Flow Reserve Applied to Triple-Rule-Out CT Angiography in Acute Chest Pain. Radiol Cardiothorac Imaging. 2020 Jun; 2(3):e190137.
Score: 0.046
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In-Hospital Cost Comparison of Triple-Rule-Out Computed Tomography Angiography Versus Standard of Care in Patients With Acute Chest Pain. J Thorac Imaging. 2020 May; 35(3):198-203.
Score: 0.045
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Gender differences in the diagnostic performance of machine learning coronary CT angiography-derived fractional flow reserve -results from the MACHINE registry. Eur J Radiol. 2019 Oct; 119:108657.
Score: 0.043
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Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry. JACC Cardiovasc Imaging. 2020 03; 13(3):760-770.
Score: 0.043
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Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome. Am J Cardiol. 2019 11 01; 124(9):1340-1348.
Score: 0.043
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Relationship Between Pregnancy Complications and Subsequent Coronary Artery Disease Assessed by Coronary Computed Tomographic Angiography in Black Women. Circ Cardiovasc Imaging. 2019 07; 12(7):e008754.
Score: 0.043
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Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia. Eur Radiol. 2019 May; 29(5):2378-2387.
Score: 0.041
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Current and future applications of CT coronary calcium assessment. Expert Rev Cardiovasc Ther. 2018 Jun; 16(6):441-453.
Score: 0.040
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Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling. Radiology. 2018 Jul; 288(1):64-72.
Score: 0.039
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Coronary CT Angiography-derived Fractional Flow Reserve. Radiology. 2017 10; 285(1):17-33.
Score: 0.038
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Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve for Therapeutic Decision Making. Am J Cardiol. 2017 Dec 15; 120(12):2121-2127.
Score: 0.038
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Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary Syndrome. Am J Cardiol. 2017 Oct 15; 120(8):1260-1266.
Score: 0.038
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CT coronary calcium scoring with tin filtration using iterative beam-hardening calcium correction reconstruction. Eur J Radiol. 2017 Jun; 91:29-34.
Score: 0.037
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Coronary Computed Tomography Angiography-Derived Plaque Quantification in Patients With Acute Coronary?Syndrome. Am J Cardiol. 2017 03 01; 119(5):712-718.
Score: 0.036
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Accuracy and Radiation Dose Reduction Using Low-Voltage Computed Tomography Coronary Artery Calcium Scoring With Tin Filtration. Am J Cardiol. 2017 02 15; 119(4):675-680.
Score: 0.036
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Correlation and predictive value of aortic root calcification markers with coronary artery calcification and obstructive coronary artery disease. Radiol Med. 2017 Feb; 122(2):113-120.
Score: 0.036
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Low contrast medium-volume third-generation dual-source computed tomography angiography for transcatheter aortic valve replacement planning. Eur Radiol. 2017 May; 27(5):1944-1953.
Score: 0.035
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Prognostic implications of coronary CT angiography-derived quantitative markers for the prediction of major adverse cardiac events. J Cardiovasc Comput Tomogr. 2016 Nov - Dec; 10(6):458-465.
Score: 0.035
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Coronary CT angiography-derived quantitative markers for predicting in-stent restenosis. J Cardiovasc Comput Tomogr. 2016 Sep-Oct; 10(5):377-83.
Score: 0.035
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Coronary CT angiography derived morphological and functional quantitative plaque markers correlated with invasive fractional flow reserve for detecting hemodynamically significant stenosis. J Cardiovasc Comput Tomogr. 2016 May-Jun; 10(3):199-206.
Score: 0.034
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Transcatheter Aortic Valve Replacement: Imaging Techniques for Aortic Root Sizing. J Thorac Imaging. 2015 Nov; 30(6):349-58.
Score: 0.033
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Diagnostic value of quantitative stenosis predictors with coronary CT angiography compared to invasive fractional flow reserve. Eur J Radiol. 2015 Aug; 84(8):1509-1515.
Score: 0.032
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CT myocardial perfusion imaging. AJR Am J Roentgenol. 2015 Mar; 204(3):487-97.
Score: 0.032
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Coronary computed tomographic angiography in clinical practice: state of the art. Radiol Clin North Am. 2015 Mar; 53(2):287-96.
Score: 0.031
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Dual-source CT imaging to plan transcatheter aortic valve replacement: accuracy for diagnosis of obstructive coronary artery disease. Radiology. 2015 Apr; 275(1):80-8.
Score: 0.031