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Radiology. Cardiothoracic Imaging|March 29, 2021
Value of Machine Learning-based Coronary CT Fractional Flow Reserve Applied to Triple-Rule-Out CT Angiography in Acute Chest PainSimon S Martin, Domenico Mastrodicasa, Marly van Assen, et al.
Clinical Research in Cardiology : Official Journal of the German Cardiac Society|October 31, 2019
Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosisStefan Baumann, Markus Hirt, U Joseph Schoepf, et al.
Journal of Cardiovascular Computed Tomography|August 15, 2016
Prognostic implications of coronary CT angiography-derived quantitative markers for the prediction of major adverse cardiac eventsChristian Tesche, Fabian Plank, Carlo N De Cecco, et al.
Journal of Computer Assisted Tomography|November 9, 2016
White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 4: Abdominal and Pelvic ApplicationsCarlo N De Cecco, Daniel T Boll, David N Bolus, et al.
Journal of Computer Assisted Tomography|January 13, 2017
White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 3: Vascular, Cardiac, Pulmonary, and Musculoskeletal ApplicationsCarlo N De Cecco, U Joseph Schoepf, Lynne Steinbach, et al.
Journal of Thoracic Imaging|August 25, 2018
Association of Serum Lipid Profile With Coronary Computed Tomographic Angiography-derived Morphologic and Functional Quantitative Plaque MarkersStefan Baumann, Philipp Kryeziu, Christian Tesche, et al.
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