Guillermo Jimenez-Perez

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论文共 21 篇作者统计合作学者相似作者

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Automatic and interpretable prediction of the site of origin in outflow tract ventricular arrhythmias: machine learning integrating electrocardiograms and clinical data

alvaro J. Bocanegra-Perez,Gemma Piella,Rafael Sebastian,Guillermo Jimenez-Perez,Giulio Falasconi,Andrea Saglietto,David Soto-Iglesias,Antonio Berruezo, Diego Penela,Oscar Camara

FRONTIERS IN CARDIOVASCULAR MEDICINE (2024): 1353096-1353096

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Delineation of intracavitary electrograms for the automatic quantification of decrement-evoked potentials in the coronary sinus with deep-learning techniques

Guillermo Jimenez-Perez, Juan Acosta, Álvaro J Bocanegra-Pérez,Eduardo Arana-Rueda, Manuel Frutos-López,Juan A Sánchez-Brotons, Helena Llamas-López, Rodrigo Di Massa Pezzutti, Carmen González de la Portilla Concha,Oscar Camara,Alonso Pedrote

Frontiers in physiology (2024): 1331852-1331852

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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-defibrillators

Marc Strik,Benjamin Sacristan,Pierre Bordachar,Josselin Duchateau,Romain Eschalier,Pierre Mondoly,Julien Laborderie,Narimane Gassa,Nejib Zemzemi, Maxime Laborde,Juan Garrido,Clara Matencio Perabla,

HEART RHYTHMno. 10 (2023): 1378-1384

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Automatic Prediction of the Origin in Outflow Tract Ventricular Arrhythmias with Machine Learning Combining Clinical Data and Electrocardiogram Analysis

Álvaro José Bocanegra,Diego Penela,Rafael Sebastián,Guillermo Jiménez-Pérez,Andrea Saglietto,David Soto-Iglesias,Antonio Berruezo, Gemma Piella,Oscar Camara

2023 Computing in Cardiology (CinC) (2023): 1-4

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Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology

Pedro Osorio,Guillermo Jimenez-Perez, Javier Montalt-Tordera, Jens Hooge, Guillem Duran-Ballester, Shivam Singh, Moritz Radbruch, Ute Bach, Sabrina Schroeder, Krystyna Siudak, Julia Vienenkoetter, Bettina Lawrenz,

CoRR (2023)

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Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias

Ruben Doste,Miguel Lozano,Guillermo Jimenez-Perez,Lluis Mont,Antonio Berruezo,Diego Penela,Oscar Camara,Rafael Sebastian

FRONTIERS IN PHYSIOLOGY（2022）

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Automated quantification and identification of decremental response after extrastimulus: validation of a novel software

G Jimenez-Perez,J Acosta, E Arana Rueda,M Frutos Lopez, JA Sanchez Brotons, H Llamas Lopez, R Di Massa Pezzutti, C Gonzalez De La Portilla Concha,A Pedrote

EP Europaceno. Supplement_1 (2022)

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Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage