Research Presentation Sessions: Cardiac
RPS 2503 - Artificial intelligence in cardiovascular imaging
Lectures
1
DEMOCRAT: deep learning for contrast medium and radiation reduction in coronary CT
07:00Giuseppe Tremamunno, Rome / IT
2
CT angiography after percutaneous coronary intervention: assessment of the image quality of deep learning image reconstruction on coronary artery in-stent restenosis
07:00Wenjie Wu, Zhengzhou / CN
3
Analysis of a novel multitask, deep-learning algorithm for automated coronary artery disease classification: the impact of AI assistance on reader accuracy and variability
07:00Roberto Farì, Modena / IT
4
Impact of super resolution deep learning reconstruction with 1024 matrix in potential CAD-RADS 3 lesions: retrospective analysis of 50 cases
07:00Mickaël Ohana, Schiltigheim / FR
5
Machine learning prediction of obstructive coronary artery disease in PLWH: a new model based on HIV-specific factors.
07:00Hui Liu, Shenyang City, Liaoning Province / CN
6
CT-derived radiomic features of epicardial adipose tissue as a marker of coronary artery disease
07:00Nazanin Mobini, Milan / IT
7
Redefining hypertrophic cardiomyopathy using AI: a new personalised definition of inappropriate hypertrophy
07:00Hunain Shiwani, London / UK
8
Automated detection and quantification of myocardial scar using AI-powered joint bright- and black-blood LGE imaging
07:00Aurelien Bustin, PESSAC / FR
9
Radiomics-based detection of acute myocardial infarction at non-contrast enhanced midventricular short-axis cine images
07:00Baptiste Vande Berg, Leuven / BE