ESC 365 - Revealing intracavitary catheter positions: artificial intelligence-enhanced localization with an electrogram-driven variational autoencoder model

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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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Mr Gonzalo Ricardo Rios-Munoz

University Carlos III of Madrid, Madrid (Spain)

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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

About the event

EHRA 2024

7 April - 9 April 2024

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