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

Session: Multimodal AI, multitask AI and foundation models
Topic: Deep Learning
Speaker: Mr S. Ruiperez-Campillo (Zurich, CH)
Event: ESC Digital & AI Summit 2025

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Mr Samuel Ruiperez-Campillo

Swiss Federal Institute of Technology Zurich (ETH Zurich), Zurich (Switzerland)
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6 more presentations in this session

Deep learning-based multitask model for 12-lead electrocardiogram delineation, rhythm analysis, and median beat construction

Speaker: Mr B. Arends (Utrecht, NL)

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Challenges in the application of ECG foundation models to out-of-domain populations: an evaluation in professional athletes

Speaker: Doctor C. Goelz (Munich, DE)

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Transformer-based ECG foundation and deep learning models for assessment of left ventricular systolic dysfunction

Speaker: Professor A. Bollmann (Leipzig, DE)

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Explainable visual transformer based scoring of CAD-RADS from coronary CT angiography multiplanar projections

Speaker: Assistant Professor E. Parimbelli (Pavia, IT)

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A swiss knife: can neural networks for ECG segmentation generalize to multiple classification tasks?

Speaker: Mr A. Mircea (Lausanne, CH)

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Access the full session

Multimodal AI, multitask AI and foundation models

Speakers: Mr S. Ruiperez-Campillo, Mr B. Arends, Doctor C. Goelz, Professor A. Bollmann, Assistant Professor E. Parimbelli...
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About the event

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ESC Digital & AI Summit 2025

21 November - 22 November 2025

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