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Revealing intracavitary catheter positions: artificial intelligence-enhanced localization with an electrogram-driven variational autoencoder model

Session: Young Investigator Award Basic and Translational Science
Topic: Artificial Intelligence (Machine Learning, Deep Learning)
Speaker: Mr G. Rios-Munoz (Madrid, ES)
Event: EHRA 2024

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About the speaker

Mr Gonzalo Ricardo Rios-Munoz

University Carlos III of Madrid, Madrid (Spain)
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4 more presentations in this session

In vivo KCNH2-suppression-replacement gene therapy attenuates the pathogenic phenotype in transgenic rabbits with short QT syndrome type 1

Speaker: Ms S. Nimani (Bern, CH)

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Accelerated pacing reduces left heart filling pressures: a novel therapy for heart failure with preserved ejection fraction?

Speaker: Mr T. Van Loon (Maastricht, NL)

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The right atrium affects in silico arrhythmia vulnerability in both atria

Speaker: Ms P. Martinez Diaz (Karlsruhe, DE)

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Reduced heart failure hospitalizations and improved quality of life in cardiac amyloidosis patients undergoing atrial fibrillation ablation

Speaker: Doctor N. Pierucci (Rome, IT)

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Young Investigator Award Basic and Translational Science

Speakers: Mr G. Rios-Munoz, Ms S. Nimani, Mr T. Van Loon, Ms P. Martinez Diaz, Doctor N. Pierucci
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EHRA 2024

7 April - 9 April 2024

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