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

21 November 2025 (08:00 - 18:00)
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Congress Presentation Part of: AI-enhanced imaging for structural and vascular disease detection Deep Learning Open Access ESC Digital & AI Summit 2025 European Society of Cardiology

About the speaker

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Mrs Asmaa Bakleh

Oxford (United Kingdom of Great Britain & Northern Ireland)

4 More presentations in this session

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Interactive deep learning system for myocardial scar mass quantification in post-infarction cardiovascular magnetic resonance
Doctor A. Moafi (Leicester, GB)
Abstract Slides
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Deep learning for anatomical structure identification and endoleak detection in contrast-enhanced computed tomographies in endovascular aortic repair patients
Mr J. Garrido-Oliver (Barcelona, ES)
Abstract Slides
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A novel deep learning model for enhanced segmentation of internal mammary artery, aorta and their perivascular regions
Mr I. Sobirov (Oxford, GB)
Abstract Slides
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Deep neural network-driven infrared thermography for diagnostics and therapy monitoring of peripheral arterial disease
Doctor B. Hillen (Mainz, DE)
Abstract Slides

Access the full session

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AI-enhanced imaging for structural and vascular disease detection

The Event

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ESC Digital & AI Summit 2025

21 November - 22 November 2025
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ESC 365 is supported by

novartis Explore sponsored resources