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Contrastive learning to enrich ECG with cardiac MRI to predict structural features and cardiovascular disease

22 November 2025 (10:30 - 11:15)
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Congress Presentation Part of: Multimodal AI, multitask AI and foundation models Deep Learning Open Access ESC Digital & AI Summit 2025 European Society of Cardiology

About the speaker

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Doctor Samuel Ruiperez-Campillo

Swiss Federal Institute of Technology Zurich (ETH Zurich), Zurich (Switzerland)

6 More presentations in this session

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Deep learning-based multitask model for 12-lead electrocardiogram delineation, rhythm analysis, and median beat construction
Mr B. Arends (Utrecht, NL)
Abstract Slides
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Challenges in the application of ECG foundation models to out-of-domain populations: an evaluation in professional athletes
Doctor C. Goelz (Munich, DE)
Abstract Slides
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Transformer-based ECG foundation and deep learning models for assessment of left ventricular systolic dysfunction
Professor A. Bollmann (Leipzig, DE)
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Explainable visual transformer based scoring of CAD-RADS from coronary CT angiography multiplanar projections
Assistant Professor E. Parimbelli (Pavia, IT)
Abstract Slides
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A swiss knife: can neural networks for ECG segmentation generalize to multiple classification tasks?
Mr A. Mircea (Lausanne, CH)
Abstract Slides

Access the full session

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Multimodal AI, multitask AI and foundation models

The Event

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ESC Digital & AI Summit 2025

22 November 2025 10:30 CET
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ESC 365 is supported by

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