ESC 365 - Fully automated plaque quantification with human-level performance and validation in large-scale cardiac CT cohort

Open Access

Fully automated plaque quantification with human-level performance and validation in large-scale cardiac CT cohort

Session: AI-enhanced imaging for structural and vascular disease detection

Topic: Deep Learning

Speaker: Mrs A. Bakleh (Oxford, GB)

Event: ESC Digital & AI Summit 2025

Congress Presentation

Add to my library

About the speaker

Mrs Asmaa Bakleh

Oxford (United Kingdom of Great Britain & Northern Ireland)

1 follower

4 more presentations in this session

Interactive deep learning system for myocardial scar mass quantification in post-infarction cardiovascular magnetic resonance

Speaker: Doctor A. Moafi (Leicester, GB)

Deep learning for anatomical structure identification and endoleak detection in contrast-enhanced computed tomographies in endovascular aortic repair patients

Speaker: Mr J. Garrido-Oliver (Barcelona, ES)

A novel deep learning model for enhanced segmentation of internal mammary artery, aorta and their perivascular regions

Speaker: Mr I. Sobirov (Oxford, GB)

Deep neural network-driven infrared thermography for diagnostics and therapy monitoring of peripheral arterial disease

Speaker: Doctor B. Hillen (Mainz, DE)

Access the full session

AI-enhanced imaging for structural and vascular disease detection

Speakers: Mrs A. Bakleh, Doctor A. Moafi, Mr J. Garrido-Oliver, Mr I. Sobirov, Doctor B. Hillen

About the event

ESC Digital & AI Summit 2025

21 November - 22 November 2025

Sessions Presentations

Congress

ESC 365 is supported by

bristol-myers-squibb

Explore sponsored resources

novartis

Explore sponsored resources