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Deep learning-based automatic segmentation in pediatric cardiovascular imaging

21 November 2025 (12:10 - 12:55)
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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

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Assistant Professor Senol Piskin

Istinye University, Istanbul (Turkiye)

6 More presentations in this session

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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
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Artificial intelligence-enabled echocardiographic assessment of right ventricular function
Doctor M. Tokodi (Budapest, HU)
Abstract Slides
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The effect of AI assisted bedside echocardiography on inpatient care - a prospective controlled trial
Doctor S. Frydman (Tel Aviv, IL)
Abstract Slides
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Right atrial remodelling in atrial fibrillation evaluated with automatic segmentation using deep learning analysis.
Mrs L. Ducousso-Balouzet (Paris, FR)
Abstract Slides
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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

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AI-applications in echocardiography and cardiovascular imaging

The Event

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ESC Digital & AI Summit 2025

21 November 2025 12:10 CET
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ESC 365 is supported by

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