Aitor Alvarez-Gila

Aitor Alvarez-Gila

Computer vision and deep learning scientist. Lead researcher at Tecnalia. Photographer (not really)

PLOS ONE paper on deep learning techniques for the detection of lethal ventricular arrhythmia on out-of-hospital cardiac arrest patients

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Our paper “Mixed Convolutional and Long Short-Term Memory Network for the Detection of Lethal Ventricular Arrhythmia” was just published on PLOS ONE.

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This is shared work between Tecnalia’s Computer Vision Group and the Research group on Bioengineering and Resuscitation (Biores) from the University of the Basque Country (UPV/EHU). The paper shows how, by applying a neural network comprising convolutional and LSTM modules, we can successfully detect lethal ventricular arrhythmia on Out-of-Hospital Cardiac Arrest (OHCA) patients.

More info and full text available here.

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PhD defended!

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Last Tuesday, July 19th 2022, I successfully defended my PhD dissertation at CVC (Barcelona), obtaining an Excellent Cum Laude grade. The thesis is titled “Self-supervised learning for image-to-image translation in the small data regime” and was developed at Computer Vision Center’s Learning And Machine Perception (LAMP) team and Tecnalia, under the supervision of Joost van de Weijer and Estibaliz Garrote. Many thanks to both!

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Introduction to deep learning. The techniques enabling the current Artificial Intelligence revolution

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Next Tuesday, October 9th, I’ll be giving an introductory talk to Deep Learning techniques within SPRI’s Enpresa Digitala initiative. It will take place at the building 204 of the Science Park of Biscay. Info and registrations: http://www.spri.eus/euskadinnova/es/enpresa-digitala/agenda/deep-learning-tecnicas-tras-revolucion-inteligencia-artificial/14624.aspx.