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ORCIDGuillermo Jiménez-Pérez
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2020 – today
- 2024
[i4]Guillermo Jiménez-Pérez, Pedro Osório, Josef Cersovsky, Javier Montalt-Tordera, Jens Hooge, Steffen Vogler, Sadegh Mohammadi:
DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training. CoRR abs/2407.11594 (2024)- 2023
- [c8]Álvaro José Bocanegra, Diego Penela, Rafael Sebastián, Guillermo Jiménez-Pérez, Andrea Saglietto, David Soto-Iglesias, Antonio Berruezo, Gemma Piella, Oscar Camara:
Automatic Prediction of the Origin in Outflow Tract Ventricular Arrhythmias with Machine Learning Combining Clinical Data and Electrocardiogram Analysis. CinC 2023: 1-4 - [i3]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:
Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology. CoRR abs/2312.09792 (2023) - 2022
- [b1]Guillermo Jiménez-Pérez:
Deep learning and unsupervised machine learning for the quantification and interpretation of electrocardiographic signals. Pompeu Fabra University, Spain, 2022 - [c7]Marta Saiz-Vivó, Jordi Mill, Josquin Harrison, Guillermo Jiménez-Pérez, Benoit Legghe, Xavier Iriart, Hubert Cochet, Gemma Piella, Maxime Sermesant, Oscar Camara:
Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage. STACOM@MICCAI 2022: 200-210 - 2021
- [j1]P. Lampreave, Guillermo Jiménez-Pérez, I. Sanz, Alberto Gómez, Oscar Camara:
Towards assisted electrocardiogram interpretation using an AI-enabled Augmented Reality headset. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(4): 349-356 (2021) - [c6]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:
Benchmark of deep learning algorithms for the automatic screening in electrocardiograms transmitted by implantable cardiac devices. CinC 2021: 1-4 - [c5]Alba Isabel, Guillermo Jiménez-Pérez, Oscar Camara, Etelvino Silva:
Mobile App for the Digitization and Deep-Learning-Based Classification of Electrocardiogram Printed Records. CinC 2021: 1-4 - [i2]Guillermo Jiménez-Pérez, Juan Acosta, Alejandro Alcaine, Oscar Camara:
Generalizing electrocardiogram delineation: training convolutional neural networks with synthetic data augmentation. CoRR abs/2111.12996 (2021) - 2020
- [i1]Guillermo Jiménez-Pérez, Alejandro Alcaine, Oscar Camara:
ECG-DelNet: Delineation of Ambulatory Electrocardiograms with Mixed Quality Labeling Using Neural Networks. CoRR abs/2005.05236 (2020)
2010 – 2019
- 2019
- [c4]Guillermo Jiménez-Pérez, Alejandro Alcaine, Oscar Camara:
U-Net Architecture for the Automatic Detection and Delineation of the Electrocardiogram. CinC 2019: 1-4 - [c3]Xabier Morales, Jordi Mill, Kristine A. Juhl, Andy L. Olivares, Guillermo Jiménez-Pérez, Rasmus R. Paulsen, Oscar Camara:
Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage. STACOM@MICCAI 2019: 157-166 - 2012
- [c2]Priscila Angulo-Lopez, Guillermo Jiménez-Pérez:
Collaborative Agents Framework for the Internet of Things. Intelligent Environments (Workshops) 2012: 191-199
1990 – 1999
- 1997
- [c1]Guillermo Jiménez-Pérez, Don S. Batory:
Memory Simulators and Software Generators. SSR 1997: 136-145
Coauthor Index
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