Introduction by the moderator - Maja Hrabak Paar, Zagreb / HR
02:00
2
National trends in coronary computed tomography angiography usage: associations with invasive coronary angiography usage and healthcare costs - Jonathan R. Weir-Mccall, Cambridge / UK
08:00
3
Feasibility and diagnostic performance of a new CCTA-derived and AI-based fully automated system for detection of coronary artery disease - Verena Brandt, Charleston / US
08:00
4
Image quality from super resolution deep learning reconstruction on coronary CT angiography - John Schuzer, Wheaton / US
08:00
5
Machine learning for time-to-event analysis in patients with suspected coronary artery disease: increased long-term prognostic value of coronary CT angiography-derived measures and clinical parameters - Maximilian Josef Bauer, Munich / DE
08:00
6
Comparison of clinical scores in predicting coronary artery disease in familial hypercholesterolaemia: a CCTA study - Lorenzo Dominici, Roma / IT
08:00
7
Frequency and clinical implications of coronary anomalies and myocardial bridging on CT coronary angiography - Giles Hannibal Roditi, Glasgow / UK
08:00
8
Silent myocardial infarction fatty scars detected by coronary calcium score CT scan in diabetic patients without history of coronary heart disease - Sara Boccalini, Bron / FR
08:00
9
Dynamic myocardial perfusion imaging using quantitative iodine density maps in a 3D printed heart phantom - Johannes Hammel, München / DE