Samuel Ruipérez-Campillo

According to our database, Samuel Ruipérez-Campillo authored at least 15 papers between 2020 and 2023.

Collaborative distances:

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

2023

Performance assessment of electrode configurations for the estimation of omnipolar electrograms from high density arrays.

Francisco Castells, Samuel Ruipérez-Campillo, Izan Segarra, Raquel Cervigón, Rubén Casado-Arroyo, José Luis Merino, José Millet

Comput. Biol. Medicine, March, 2023

Mini Peltier Cell Array System for the Generation of Controlled Local Epicardial Heterogeneities.

Izan Segarra, Antonio Cebrián, Samuel Ruipérez-Campillo, Alvaro Tormos, Francisco Javier Chorro, Francisco Castells, Antonio Alberola, José Millet

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Robust Framework for Medical Time Series Classification and Application to Real Scenarios in Modern Bioengineering.

Samuel Ruipérez-Campillo, Francisco Castells, José Millet

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Assessment of the Interelectrode Distance Effect over the Omnipole with High Multielectrode Arrays.

M. Crespo, Samuel Ruipérez-Campillo, Rubén Casado-Arroyo, José Millet, Francisco Castells

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Synchronization of Conventional Electrocardiogram Recordings for Accurate Vectorcardiography Reconstruction.

Elisa Ramírez, Samuel Ruipérez-Campillo, Francisco Castells, Rubén Casado-Arroyo, José Millet

Proceedings of the Computing in Cardiology, 2023

Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation.

Maxime Pedron, Prasanth Ganesan, Ruibin Feng, Brototo Deb, Hui Chang, Samuel Ruipérez-Campillo, Sulaiman Somani, Yaanik Desai, Albert J. Rogers, Paul Clopton, Sanjiv M. Narayan

Proceedings of the Computing in Cardiology, 2023

Heterogeneity Quantification of Electrophysiological Signal Propagation in High-Density Multielectrode Recordings.

Lucía Pancorbo, Samuel Ruipérez-Campillo, Francisco Castells, José Millet

Proceedings of the Computing in Cardiology, 2023

3D CNN as an Approach to Predict the Cerebral Performance of Comatose Patients.

Rafael Teodoro Ors-Quixal, Elisa Ramírez-Candela, Samuel Ruipérez-Campillo, Francisco Sales Castells Ramón, José Millet

Proceedings of the Computing in Cardiology, 2023

2022

Classification of Atrial Tachycardia Types Using Dimensional Transforms of ECG Signals and Machine Learning.

Samuel Ruipérez-Campillo, José Millet, Francisco Castells

Proceedings of the Computing in Cardiology, 2022

Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data.

Florence E. van Lieshout, Roel C. Klein, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik J. Bekkers, Bob D. de Vos, Fleur V. Y. Tjong

Proceedings of the Computing in Cardiology, 2022

Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels.

Roel C. Klein, Florence E. van Lieshout, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik J. Bekkers, Bob D. de Vos, Fleur V. Y. Tjong

Proceedings of the Computing in Cardiology, 2022

Autocorrelation Function for Predicting Arrhythmic Recurrences in Patients Undergoing Persistent Atrial Fibrillation Ablation.

Raquel Cervigón, Eduardo Franco, Samuel Ruipérez-Campillo, Cristina Lozano, Francisco Castells, Javier Moreno

Proceedings of the Computing in Cardiology, 2022

ECG Analysis to Study Social Connections in Older Cardiac Patients.

María Luz Cardo, Alejandra Chuliàn, Samuel Ruipérez-Campillo, José Millet, Francisco Castells, Raquel Cervigón

Proceedings of the Computing in Cardiology, 2022

2021

Non-invasive characterisation of macroreentrant atrial tachycardia types from a vectorcardiographic approach with the slow conduction region as a cornerstone.

Samuel Ruipérez-Campillo, Sergio Castrejón, Marcel Martínez, Raquel Cervigón, Olivier Meste, José Luis Merino, José Millet, Francisco Castells

Comput. Methods Programs Biomed., 2021

2020

Slow Conduction Regions as a Valuable Vectorcardiographic Parameter for the Non-Invasive Identification of Atrial Flutter Types.

Samuel Ruipérez-Campillo, Sergio Castrejón, Marcel Martínez, Raquel Cervigón, Olivier Meste, José Luis Merino, José Millet, Francisco Castells

Proceedings of the Computing in Cardiology, 2020