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Biophysics-inspired deep learning for improved denoising in ventricular signals in ischemic cardiomyopathy

Congress Presentation

About the speaker

Mr Samuel Ruiperez-Campillo

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

Validation of an artificial intelligence model for occlusion myocardial infarction identification: initial findings from a Portuguese cohort

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Robust ecg analysis across various racial and ethnic populations: enhancing diversity

Speaker: Mr J. Francey (Belfast, GB)

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Abnormal P-waves morphology as a marker of atrial abnormality in a population-based cohort of patients with normal P-wave duration.

Speaker: Doctor M. Baturova (Lund, SE)

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Advancing atrial fibrillation care: deep learning on ECG for comorbidity detection

Speaker: Doctor Y. Mohsen (Baltimore, US)

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Can an AI-powered smartphone app estimate moderate pulmonary hypertension by taking a 12-lead ECG of Japanese patients?

Speaker: Assistant Professor T. Kaihara (Kawasaki, JP)

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Access the full session

Precision cardiology: the role of signal processing and artificial intelligence

Speakers: Mr S. Ruiperez-Campillo, Doctor M. Grine, Mr J. Francey, Doctor M. Baturova, Doctor Y. Mohsen...
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About the event

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ESC Congress 2025

29 August - 1 September 2025

Sessions Presentations