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

21 November 2025 (08:00 - 18:00)

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About the speaker

Mr Andrei-Alexandru Mircea

University Hospital Centre Vaudois (CHUV), Lausanne (Switzerland)

6 More presentations in this session

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

Mr S. Ruiperez-Campillo (Zurich, CH)

Abstract Slides

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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)

Abstract Slides

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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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Multimodal AI, multitask AI and foundation models

The Event

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ESC Digital & AI Summit 2025

21 November - 22 November 2025

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ESC 365 is supported by

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