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Scientific Reports|January 14, 2021
Delineation of the electrocardiogram with a mixed-quality-annotations dataset using convolutional neural networksGuillermo Jimenez-Perez, Alejandro Alcaine, Oscar Camara
Frontiers in Cardiovascular Medicine|August 5, 2024
Generalising electrocardiogram detection and delineation: training convolutional neural networks with synthetic data augmentationGuillermo Jimenez-Perez, Juan Acosta, Alejandro Alcaine, et al.
Frontiers in Physiology|August 29, 2022
Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmiasRuben Doste, Miguel Lozano, Guillermo Jimenez-Perez, et al.
Frontiers in Cardiovascular Medicine|April 4, 2024
Automatic and interpretable prediction of the site of origin in outflow tract ventricular arrhythmias: machine learning integrating electrocardiograms and clinical dataÁlvaro J Bocanegra-Pérez, Gemma Piella, Rafael Sebastian, et al.
Diagnostics (Basel, Switzerland)|July 13, 2024
Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in HistopathologyPedro Osorio, Guillermo Jimenez-Perez, Javier Montalt-Tordera, et al.
Frontiers in Digital Health|October 31, 2024
AI-enabled workflow for automated classification and analysis of feto-placental Doppler imagesAinhoa M Aguado, Guillermo Jimenez-Perez, Devyani Chowdhury, et al.
Heart Rhythm|July 5, 2023
Artificial intelligence for detection of ventricular oversensing: Machine learning approaches for noise detection within nonsustained ventricular tachycardia episodes remotely transmitted by pacemakers and implantable cardioverter-defibrillatorsMarc Strik, Benjamin Sacristan, Pierre Bordachar, et al.
Frontiers in Physiology|May 31, 2024
Delineation of intracavitary electrograms for the automatic quantification of decrement-evoked potentials in the coronary sinus with deep-learning techniquesGuillermo Jimenez-Perez, Juan Acosta, Álvaro J Bocanegra-Pérez, et al.
Frontiers in Physiology|November 26, 2025
Correction: Delineation of intracavitary electrograms for the automatic quantification of decrement-evoked potentials in the coronary sinus with deep-learning techniquesGuillermo Jimenez-Perez, Juan Acosta, Álvaro José Bocanegra Pérez, et al.
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