| Traffic Sign Segmentation and Classification using Statistical Learning Methods JM Lillo-Castellano, I Mora-Jiménez, C Figuera-Pozuelo, JL Rojo-Álvarez Neurocomputing 153, 286-299, 2015 | 137 | 2015 |
| Symmetrical Compression Distance for Arrhythmia Discrimination in Cloud-based Big-Data Services JM Lillo-Castellano, I Mora-Jiménez, R Santiago-Mozos, ... Biomedical and Health Informatics, IEEE Journal of 19 (4), 1253-1263, 2015 | 41 | 2015 |
| Safety Threshold of R-wave Amplitudes in Patients with Implantable Cardioverter Defibrillator JM Lillo-Castellano, M Marina-Breysse, A Gómez-Gallanti, ... Heart, heartjnl-2016-309295, 2016 | 18 | 2016 |
| Personalized Monitoring of Electrical Remodelling during Atrial Fibrillation Progression via Remote Transmissions from Implantable Devices JM Lillo-Castellano, JJ González-Ferrer, M Marina-Breysse, ... EP Europace, 2019 | 17 | 2019 |
| Fetal Heart Rate Analysis for Automatic Detection of Perinatal Hypoxia Using Normalized Compression Distance and Machine Learning O Barquero-Pérez, R Santiago-Mozos, JM Lillo-Castellano, ... Frontiers in Physiology 8, 2017 | 14 | 2017 |
| QRS Duration Reflects Underlying Changes in Conduction Velocity during Increased Intraventricular Pressure and Heart Failure J Quintanilla, J Moreno, T Archondo, JM Alfonso-Almazán, ... Progress in Biophysics and Molecular Biology, 2017 | 11 | 2017 |
| Weaning Outcome Prediction from Heterogeneous Time Series using Normalized Compression Distance and Multidimensional Scaling JM Lillo-Castellano, I Mora-Jiménez, R Santiago-Mozos, JL Rojo-Álvarez, ... Expert Systems with Applications 40 (5), 1737-1747, 2013 | 10 | 2013 |
| Artificial Intelligence Augments Detection Accuracy of Cardiac Insertable Cardiac Monitors. Results from a Pilot Prospective Observational Study F Quartieri, M Marina-Breysse, A Pollastrelli, I Paini, C Lizcano, ... Cardiovascular Digital Health Journal, 2022 | 9 | 2022 |
| Artificial intelligence cloud platform improves arrhythmia detection from insertable cardiac monitors to 25 cardiac rhythm patterns through multi-label classification F Quartieri, M Marina-Breysse, R Toribio-Fernandez, C Lizcano, ... Journal of Electrocardiology, 2023 | 4 | 2023 |
| Early Prognostic Value of an Algorithm based on Spectral Variables of Ventricular Fibrillation from the EKG of Patients with Sudden Cardiac Death: A Multicentre Observational … J Palacios-Rubio, M Marina-Breysse, JG Quintanilla, JM Gil-Perdomo, ... Archivos de cardiologia de Mexico, 2018 | 4 | 2018 |
| Big-Data Analytics for Arrhythmia Classification using Data Compression and Kernel Methods JM Lillo-Castellano, I Mora-Jiménez, R Moreno-González, ... Computing in Cardiology Conference (CinC), 2015, 661-664, 2015 | 4 | 2015 |
| Multivariate Spatial Clustering of Traffic Accidents for Local Profiling of Risk Factors C Figuera-Pozuelo, JM Lillo-Castellano, I Mora-Jiménez, JL Rojo-Álvarez, ... Intelligent Transportation Systems (ITSC), 2011 14th International IEEE …, 2011 | 4* | 2011 |
| Rational and Design of ST-Segment Elevation not Associated with Acute Cardiac Necrosis (LESTONNAC). A Prospective Registry for Validation of a Deep Learning System Assisted by … M Martínez-Sellés, M Juárez, M Marina-Breysse, JM Lillo-Castellano, ... Journal of Electrocardiology 69, 140-144, 2021 | 2 | 2021 |
| On the Early Detection of Perinatal Hypoxia with Information-Theory based Methods R Santiago-Mozos, B García-Vizuete, JM Lillo-Castellano, ... Computing in Cardiology Conference (CinC), 2013, 425-428, 2013 | 2 | 2013 |
| Smart-IoT Business Process Management: A Case Study on Remote Digital Early Cardiac Arrhythmia Detection and Diagnosis P Gómez-Valiente, J Pérez, JM Lillo-Castellano, M Marina-Breysse IEEE Internet of Things Journal, 2023 | 1 | 2023 |
| Ventricular Fibrillation Undersensing to Calculate a Safety Threshold for Baseline Rhythm R-wave Amplitudes D Filgueiras-Rama, JM Lillo-Castellano, JG Quintanilla Journal of Electrocardiology, 2018 | 1 | 2018 |
| Classifying Cardiac Arrhythmic Episodes via Data Compression JM Lillo-Castellano, JL Rojo-Álvarez, F Chavarría-Asso, A García-García, ... Neurocomputing 307, 1-13, 2018 | 1 | 2018 |
| In-hospital and long term neurological outcome prognostication using an algorithm based on the analysis of ventricular fibrillation from the EKG of patients with sudden cardiac … J Palacios Rubio, M Marina-Breysse, JG Quintanilla, ... European Heart Journal 44 (Supplement_2), ehad655. 631, 2023 | | 2023 |
| Data Analytics for Supporting Clinical Decision on Patients with Implantable Cardioverter Defibrillator JM Lillo-Castellano Universidad Rey Juan Carlos, 2017 | | 2017 |
| R-Wave Amplitude during Follow-up of Implantable Cardioverter Defibrillators to Predict Under-Sensing upon Spontaneous Ventricular Fibrillation JM Lillo-Castellano, M Marina-Breysse, JB Martínez-Ferrer, J Alzueta, ... European Society of Cardiology Congress (ESC), 2015, 2015 | | 2015 |
Manuel Marina BreysseCardiologist at AEPSAD & Graduate technician researcher at CNIC & Co-Founder at IDOVENVerified email at aepsad.gob.es
