Back

Deep learning-based automatic segmentation in pediatric cardiovascular imaging

21 November 2025 (12:10 - 12:55)
Organised by: Logo
Congress Presentation Part of: AI-applications in echocardiography and cardiovascular imaging Magnetic Resonance Imaging Open Access ESC Digital & AI Summit 2025 European Society of Cardiology

About the speaker

Photo
Assistant Professor Senol Piskin

Istinye University, Istanbul (Turkiye)

6 More presentations in this session

Presentation thumbnail
Myocardial motion curves from CMR: an automated approach to visualize complex deformation patterns and comparison of healthy and diseased cohorts
Mr J. Kiekenap (Heidelberg, DE)
Abstract Slides
Presentation thumbnail
Artificial intelligence-enabled echocardiographic assessment of right ventricular function
Doctor M. Tokodi (Budapest, HU)
Abstract Slides
Presentation thumbnail
The effect of AI assisted bedside echocardiography on inpatient care - a prospective controlled trial
Doctor S. Frydman (Tel Aviv, IL)
Abstract Slides
Presentation thumbnail
Right atrial remodelling in atrial fibrillation evaluated with automatic segmentation using deep learning analysis.
Mrs L. Ducousso-Balouzet (Paris, FR)
Abstract Slides
Presentation thumbnail
Artificial Intelligence (AI) reliably quantifies right ventricular strain on CTPA for acute pulmonary embolus (PE) with management implications
Doctor S. Gunning (Bath, GB)
Abstract Slides

Access the full session

Session thumbnail
AI-applications in echocardiography and cardiovascular imaging

The Event

Event poster

ESC Digital & AI Summit 2025

21 November 2025 12:10 CET
You may be interested in
thumbnail
Congress Session
Evolutions in arrythmia and syncope management
thumbnail
Congress Session
How to implement a successful telemedicine program in heart failure
thumbnail
Congress Session
Cutting edge digital health for early detection and efficient diagnosis

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources