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Markus Goeller

Showing results (21-30 of 31) with videos related to

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Cardiovascular Research|December 20, 2019
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective studyFrederic Commandeur, Piotr J Slomka, Markus Goeller, et al.
European Radiology|January 21, 2018
Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre studyDamini Dey, Sara Gaur, Kristian A Ovrehus, et al.
Digestion|October 4, 2018
The Munich-Transarterial Chemoembolisation Score Holds Superior Prognostic Capacities Compared to TACE-Tailored Modifications of 9 Established Staging Systems for Hepatocellular CarcinomaMark Op den Winkel, Dorothea Nagel, Philip Op den Winkel, et al.
Journal of Cardiovascular Computed Tomography|December 14, 2017
Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjectsMarkus Goeller, Stephan Achenbach, Mohamed Marwan, et al.
Circulation. Cardiovascular Imaging|February 18, 2020
Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic SubjectsEvann Eisenberg, Priscilla A McElhinney, Frederic Commandeur, et al.
European Heart Journal. Cardiovascular Imaging|February 22, 2019
Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiographyMarkus Goeller, Balaji K Tamarappoo, Alan C Kwan, et al.
Atherosclerosis|November 26, 2020
Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective studyBalaji K Tamarappoo, Andrew Lin, Frederic Commandeur, et al.
Academic Radiology|January 19, 2019
Diagnostic Accuracy of Noncontrast Self-navigated Free-breathing MR Angiography versus CT Angiography: A Prospective Study in Pediatric Patients with Suspected Anomalous Coronary ArteriesMoritz H Albrecht, Akos Varga-Szemes, U Joseph Schoepf, et al.
European Radiology|November 29, 2017
Diagnostic accuracy of low and high tube voltage coronary CT angiography using an X-ray tube potential-tailored contrast medium injection protocolMoritz H Albrecht, John W Nance, U Joseph Schoepf, et al.
The Lancet. Digital Health|March 26, 2022
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre studyAndrew Lin, Nipun Manral, Priscilla McElhinney, et al.
Pageof 4

Showing results (21-30 of 31) with videos related to

Sort By:
Pageof 4
Cardiovascular Research|December 20, 2019
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective studyFrederic Commandeur, Piotr J Slomka, Markus Goeller, et al.
European Radiology|January 21, 2018
Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre studyDamini Dey, Sara Gaur, Kristian A Ovrehus, et al.
Digestion|October 4, 2018
The Munich-Transarterial Chemoembolisation Score Holds Superior Prognostic Capacities Compared to TACE-Tailored Modifications of 9 Established Staging Systems for Hepatocellular CarcinomaMark Op den Winkel, Dorothea Nagel, Philip Op den Winkel, et al.
Journal of Cardiovascular Computed Tomography|December 14, 2017
Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjectsMarkus Goeller, Stephan Achenbach, Mohamed Marwan, et al.
Circulation. Cardiovascular Imaging|February 18, 2020
Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic SubjectsEvann Eisenberg, Priscilla A McElhinney, Frederic Commandeur, et al.
European Heart Journal. Cardiovascular Imaging|February 22, 2019
Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiographyMarkus Goeller, Balaji K Tamarappoo, Alan C Kwan, et al.
Atherosclerosis|November 26, 2020
Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective studyBalaji K Tamarappoo, Andrew Lin, Frederic Commandeur, et al.
Academic Radiology|January 19, 2019
Diagnostic Accuracy of Noncontrast Self-navigated Free-breathing MR Angiography versus CT Angiography: A Prospective Study in Pediatric Patients with Suspected Anomalous Coronary ArteriesMoritz H Albrecht, Akos Varga-Szemes, U Joseph Schoepf, et al.
European Radiology|November 29, 2017
Diagnostic accuracy of low and high tube voltage coronary CT angiography using an X-ray tube potential-tailored contrast medium injection protocolMoritz H Albrecht, John W Nance, U Joseph Schoepf, et al.
The Lancet. Digital Health|March 26, 2022
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre studyAndrew Lin, Nipun Manral, Priscilla McElhinney, et al.
Pageof 4