Back
Open Access

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

Session: AI-enhanced imaging for structural and vascular disease detection
Topic: Deep Learning
Speaker: Mr I. Sobirov (Oxford, GB)
Event: ESC Digital & AI Summit 2025

Congress Presentation

Add to my library

Like

About the speaker

Mr Ikboljon Sobirov

Oxford (United Kingdom of Great Britain & Northern Ireland)
0 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)

Access
Abstract
Slides
Like
Thumbnail

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

Speaker: Ms A. Bakleh (Oxford, GB)

Access
Abstract
Slides
Like
Thumbnail

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)

Access
Abstract
Slides
Like
Thumbnail

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

Speaker: Doctor B. Hillen (Mainz, DE)

Access
Abstract
Slides
Like
Thumbnail

Access the full session

AI-enhanced imaging for structural and vascular disease detection

Speakers: Mr I. Sobirov, Doctor A. Moafi, Ms A. Bakleh, Mr J. Garrido-Oliver, Doctor B. Hillen
Access
Like
Thumbnail

About the event

Image

ESC Digital & AI Summit 2025

21 November - 22 November 2025

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

bristol-myers-squibb Explore sponsored resources
novartis Explore sponsored resources