Guillermo Jiménez-Pérez

According to our database, Guillermo Jiménez-Pérez authored at least 13 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

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

Pedro Osório, Guillermo Jiménez-Pérez, Javier Montalt-Tordera, Jens Hooge, Guillem Duran Ballester, Shivam Singh, Moritz Radbruch, Ute Bach, Sabrina Schroeder, Krystyna Siudak, Julia Vienenkoetter, Bettina Lawrenz, Sadegh Mohammadi

CoRR, 2023

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

Proceedings of the Computing in Cardiology, 2023

2022

Deep learning and unsupervised machine learning for the quantification and interpretation of electrocardiographic signals.

Guillermo Jiménez-Pérez

PhD thesis, 2022

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

Marta Saiz-Vivó, Jordi Mill, Josquin Harrison, Guillermo Jiménez-Pérez, Benoit Legghe, Xavier Iriart, Hubert Cochet, Gemma Piella, Maxime Sermesant, Oscar Camara

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021

Generalizing electrocardiogram delineation: training convolutional neural networks with synthetic data augmentation.

Guillermo Jiménez-Pérez, Juan Acosta, Alejandro Alcaine, Oscar Camara

CoRR, 2021

Towards assisted electrocardiogram interpretation using an AI-enabled Augmented Reality headset.

P. Lampreave, Guillermo Jiménez-Pérez, I. Sanz, Alberto Gómez, Oscar Camara

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

Mobile App for the Digitization and Deep-Learning-Based Classification of Electrocardiogram Printed Records.

Alba Isabel, Guillermo Jiménez-Pérez, Oscar Camara, Etelvino Silva

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Benchmark of deep learning algorithms for the automatic screening in electrocardiograms transmitted by implantable cardiac devices.

Narimane Gassa, Benjamin Sacristan, Nejib Zemzemi, Maxime Laborde, Juan Garrido Oliver, Clara Matencio Perabla, Guillermo Jiménez-Pérez, Oscar Camara, Sylvain Ploux, Marc Strik, Pierre Bordachar, Rémi Dubois

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

ECG-DelNet: Delineation of Ambulatory Electrocardiograms with Mixed Quality Labeling Using Neural Networks.

Guillermo Jiménez-Pérez, Alejandro Alcaine, Oscar Camara

CoRR, 2020

2019

Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage.

Xabier Morales, Jordi Mill, Kristine A. Juhl, Andy L. Olivares, Guillermo Jiménez-Pérez, Rasmus R. Paulsen, Oscar Camara

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

U-Net Architecture for the Automatic Detection and Delineation of the Electrocardiogram.

Guillermo Jiménez-Pérez, Alejandro Alcaine, Oscar Camara

Proceedings of the 46th Computing in Cardiology, 2019

2012

Collaborative Agents Framework for the Internet of Things.

Priscila Angulo-Lopez, Guillermo Jiménez-Pérez

Proceedings of the Workshop Proceedings of the 8th International Conference on Intelligent Environments, 2012

1997

Memory Simulators and Software Generators.

Guillermo Jiménez-Pérez, Don S. Batory

Proceedings of the 1997 ACM SIGSOFT Symposium on Symposium on Software Reusability, 1997