Publications
  • 2020 - ...
  • 2010 - 2019
  • 2000 - 2009
A robust shape model for blood vessels analysis
Romero, P., Pedrós, A., Sebastian, R., Lozano, M. and García-Fernández, I.

Applied Mathematics and Computation, 2025, Vol. 487, No. -, PP. -
Beyond the root: Geometric characterization for the diagnosis of syndromic heritable thoracic aortic diseases
Romero, P., Lozano, M., Dux-Santoy, L., Guala, A., Teixidó-Turà, G., Sebastián, R. and García-Fernández, I.

Computers in Biology and Medicine, 2024, Vol. 182, No. -, PP. -
Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset
Ganesan, P., Feng, R., Deb, B., Tjong, F.V.Y., Rogers, A.J., Ruipérez-Campillo, S., Soman, S., Clopton, P., Baykaner, T., Rodrigo, M., Zou, J., Haddad, F., Zaharia, M. and Narayan, S.M.

Diagnostics, 2024, Vol. 14, No. 14, PP. 1538
Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrograms
Ganesan, P., Deb, B., Feng, R., Rodrigo, M., Ruiperez-Campillo, S., Rogers, A.J., Clopton, P., Wang, P.J., Zeemering, S., Schotten, U., Rappel, W.-J. and Narayan, S.M.

Europace, 2023, Vol. 25, No. 5, PP. -
Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding
Feng, R., Deb, B., Ganesan, P., Tjong, F.V.Y., Rogers, A.J., Ruipérez-Campillo, S. Somani, S., Clopton, P., Baykaner, T., Rodrigo, M., Zou, J., Haddad, F., Zahari, M. and Narayan, S.M.

Frontiers in Cardiovascular Medicine, 2023, Vol. 10, No. -, PP. -
Predicting acute termination and non-termination during ablation of human atrial fibrillation using quantitative indices
Kappel, C. and Reiss, M. and Rodrigo, M. and Ganesan, P. and Narayan, S.M. and Rappel, W.-J.

Frontiers in Physiology, 2022, Vol. 13, No. -:939350, PP. -
Identification of atrial fibrillation drivers by means of concentric ring electrodes
Prats-Boluda, G. and Guillem, M.S. and Rodrigo, M. and Ye-Lin, Y. and Garcia-Casado, J.

Computers in Biology and Medicine, 2022, Vol. 148, No. -:105957, PP. -
Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias
Doste, R. and Lozano, M. and Jimenez-Perez, G. and Mont, L. and Berruezo, A. and Penela, D. and Camara, O. and Sebastian, R.

Frontiers in Physiology, 2022, Vol. 13, No. -:909372, PP. -
Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data
Albors, C. and Lluch, È. and Gomez, J.F. and Cedilnik, N. and Mountris, K.A. and Mansi, T. and Khamzin, S. and Dokuchaev, A. and Solovyova, O. and Pueyo, E. and Sermesant, M. and Sebastian, R. and Morales, H.G. and Camara, O.

Applied Sciences (Switzerland), 2022, Vol. 12, No. 13:6438, PP. -
From 12 to 1 ECG lead: Multiple cardiac condition detection mixing a hybrid machine learning approach with a one-versus-rest classification strategy
Jiménez-Serrano, S. and Rodrigo, M. and Calvo, C.J. and Millet, J. and Castells, F.

Physiological Measurement, 2022, Vol. 43, No. 6:064003, PP. -
Atrial fibrillation signatures on intracardiac electrograms identified by deep learning
Rodrigo, M. and Alhusseini, M.I. and Rogers, A.J. and Krittanawong, C. and Thakur, S. and Feng, R. and Ganesan, P. and Narayan, S.M.

Computers in Biology and Medicine, 2022, Vol. 145, No. -:105451, PP. -
An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility
Serra, D. and Romero, P. and Garcia-Fernandez, I. and Lozano, M. and Liberos, A. and Rodrigo, M. and Bueno-Orovio, A. and Berruezo, A. and Sebastian, R.

Mathematics, 2022, Vol. 10, No. 8:1293, PP. -
Personalized Fast Electrophysiology Simulations to Evaluate Arrhythmogenicity of Ventricular Slow Conduction Channels
Serra, D. and Franco, P. and Romero, P. and García-Fernández, I. and Lozano, M. and Soto, D. and Penela, D. and Berruezo, A. and Camara, O. and Sebastian, R.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2022, Vol. 13593 LNCS, No. -:-, PP. 56-64
Parallel computing learning in electronic engineering based in the treatment of images
Rodrigo, M. and Liberos, A. and Ramos, G. and Cerdá, J.

15th International Conference of Technology, Learning and Teaching of Electronics, TAEE 2022 - Proceedings, 2022, Vol. -, No. -:-, PP. -
Clinically-Driven Virtual Patient Cohorts Generation: An Application to Aorta
Romero, P. and Lozano, M. and Martínez-Gil, F. and Serra, D. and Sebastián, R. and Lamata, P. and García-Fernández, I.

Frontiers in Physiology, 2021, Vol. 12, No. -:713118, PP. -
A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering
Langfield, P. and Feng, Y. and Bear, L.R. and Duchateau, J. and Sebastian, R. and Abell, E. and Dubois, R. and Labrousse, L. and Rogier, J. and Hocini, M. and Haissaguerre, M. and Vigmond, E.

Medical Image Analysis, 2021, Vol. 72, No. -:102075, PP. -
Estimation of Personalized Minimal Purkinje Systems from Human Electro-Anatomical Maps
Barber, F. and Langfield, P. and Lozano, M. and Garcia-Fernandez, I. and Duchateau, J. and Hocini, M. and Haissaguerre, M. and Vigmond, E. and Sebastian, R.

IEEE Transactions on Medical Imaging, 2021, Vol. 40, No. 8:9405625, PP. 2182-2194
Multi-resolution quality-based video coding system for DASH scenarios
Moina-Rivera, W. and Gutiérrez-Aguado, J. and Garcia-Pineda, M.

NOSSDAV 2021 - Proceedings of the 2021 Workshop on Network and Operating System Support for Digital Audio and Video, Part of MMSys 2021, 2021, Vol. -, No. -:-, PP. 43-49
Re-interpreting complex atrial tachycardia maps using global atrial vectors
Rodrigo, M. and Narayan, S.M.

Journal of Cardiovascular Electrophysiology, 2021, Vol. 32, No. 7:-, PP. 1918-1920
Electrocardiographic Imaging for Atrial Fibrillation: A Perspective From Computer Models and Animal Experiments to Clinical Value
Salinet, J. and Molero, R. and Schlindwein, F.S. and Karel, J. and Rodrigo, M. and Rojo-Álvarez, J.L. and Berenfeld, O. and Climent, A.M. and Zenger, B. and Vanheusden, F. and Paredes, J.G.S. and MacLeod, R. and Atienza, F. and Guillem, M.S. and Cluitmans, M. and Bonizzi, P.

Frontiers in Physiology, 2021, Vol. 12, No. -:653013, PP. -
Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry
Abad, R. and Collart, O. and Ganesan, P. and Rogers, A.J. and Alhusseini, M.I. and Rodrigo, M. and Narayan, S.M. and Rappel, W.-J.

PLoS ONE, 2021, Vol. 16, No. 4 April:e0249873, PP. -
Optimized single-point left ventricular pacing leads to improved resynchronization compared with multipoint pacing
San Antonio, R. and Guasch, E. and González-Ascaso, A. and Jiménez-Arjona, R. and Climent, A.M. and Pujol-López, M. and Doltra, A. and Alarcón, F. and Garre, P. and Liberos, A. and Trotta, O. and Quinto, L. and Borràs, R. and Arbelo, E. and Roca-Luque, I. and Atienza, F. and Brugada, J. and Fernández-Avilés, F. and Guillem, M.S. and Sitges, M. and Tolosana, J.M. and Mont, L.

PACE - Pacing and Clinical Electrophysiology, 2021, Vol. 44, No. 3:-, PP. 519-527
Electrocardiographic imaging including intracardiac information to achieve accurate global mapping during atrial fibrillation
Cámara-Vázquez, M.Á. and Hernández-Romero, I. and Rodrigo, M. and Alonso-Atienza, F. and Figuera, C. and Morgado-Reyes, E. and Atienza, F. and Guillem, M.S. and Climent, A.M. and Barquero-Pérez, Ó.

Biomedical Signal Processing and Control, 2021, Vol. 64, No. -:102354, PP. -
Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping
Rodrigo, M. and Waddell, K. and Magee, S. and Rogers, A.J. and Alhusseini, M. and Hernandez-Romero, I. and Costoya-Sánchez, A. and Liberos, A. and Narayan, S.M.

Frontiers in Physiology, 2021, Vol. 11, No. -:611266, PP. -
Improving DASH Encoding with Scenes and Downscaling Techniques for VoD Streaming
Moina-Rivera, W. and Gutierrez-Aguado, J. and Garcia-Pineda, M. and Claver, J.M.

2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings, 2021, Vol. -, No. -:-, PP. -
Arrhythmic3D: A fast automata-based tool to simulate and assess arrhythmia risk in 3D ventricular models
Serra, D. and Romero, P. and Lozano, M. and Garcia-Fernandez, I. and Liberos, A. and Rodrigo, M. and Berruezo, A. and Bueno-Orovio, A. and Sebastian, R.

Computing in Cardiology, 2021, Vol. 2021-September, No. -:-, PP. -
Multiple Cardiac Disease Detection from Minimal-Lead ECG Combining Feedforward Neural Networks with a One-vs-Rest Approach
Jimenez-Serrano, S. and Rodrigo, M. and Calvo, C.J. and Castells, F. and Millet, J.

Computing in Cardiology, 2021, Vol. 2021-September, No. -:-, PP. -
Personalization of ventricular cardiac conduction system models to reproduce patient electrocardiogram
Barber, F. and Langfield, P. and Lozano, M. and Garcia-Fernandez, I. and Duchateau, J. and Hocini, M. and Haissaguerre, M. and Vigmond, E. and Sebastian, R.

Computing in Cardiology, 2021, Vol. 2021-September, No. -:-, PP. -
Non-invasive Mechanism Classification and Localization in Supraventricular Cardiac Arrhythmias
Sandoval, I. and Marques, V.G. and Sims, J.A. and Rodrigo, M. and Guillem, M.S. and Salinet, J.

Computing in Cardiology, 2021, Vol. 2021-September, No. -:-, PP. -
Simplified Electrophysiology Modeling Framework to Assess Ventricular Arrhythmia Risk in Infarcted Patients
Serra, D. and Romero, P. and Lozano, M. and García-Fernández, I. and Liberos, A. and Rodrigo, M. and Berruezo, A. and Bueno-Orovio, A. and Sebastian, R.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021, Vol. 12738 LNCS, No. -:-, PP. 531-539
Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features
Rodrigo, M. and Pagano, B. and Takur, S. and Liberos, A. and Sebastián, R. and Narayan, S.M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021, Vol. 12738 LNCS, No. -:-, PP. 671-678
Assessment of Geometric Models for the Approximation of Aorta Cross-Sections
Romero, P. and Serra, D. and Lozano, M. and Sebastián, R. and García-Fernández, I.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021, Vol. 12738 LNCS, No. -:-, PP. 84-92
Cardiac computational modelling [Modelización computacional cardiaca]
Bragard, J.R. and Camara, O. and Echebarria, B. and Gerardo Giorda, L. and Pueyo, E. and Saiz, J. and Sebastián, R. and Soudah, E. and Vázquez, M.

Revista Espanola de Cardiologia, 2021, Vol. 74, No. 1:-, PP. 65-71
Atrial location optimization by electrical measures for Electrocardiographic Imaging
Gisbert, V. and Jiménez-Serrano, S. and Roses-Albert, E. and Rodrigo, M.

Computers in Biology and Medicine, 2020, Vol. 127, No. -:104031, PP. -
Characterization of atrial arrhythmias in body surface potential mapping: A computational study
Marques, V.G. and Rodrigo, M. and Guillem, M.D.L.S. and Salinet, J.

Computers in Biology and Medicine, 2020, Vol. 127, No. -:103904, PP. -
Classification and Location of Atrial Arrhythmic Mechanisms with Body Surface Potential Mapping
Marques, V.G. and Rodrigo, M. and Guillem, M.S. and Salinet, J.

Computing in Cardiology, 2020, Vol. 2020-September, No. -:9344234, PP. -
Atrial Fibrillation Driver Localization from Body Surface Potentials Using Deep Learning
Camara-Vazquez, M.A. and Oter-Astillero, A. and Hernandez-Romero, I. and Rodrigo, M. and Morgado-Reyes, E. and Guillem, M.S. and Climent, A.M. and Barquero-Perez, O.

Computing in Cardiology, 2020, Vol. 2020-September, No. -:9344330, PP. -
A Wavelet-Based Method for Non-Invasive Dominant Frequency Detection in Atrial Fibrillation
Marques, V.G. and Rodrigo, M. and Guillem, M.S. and Salinet, J.

Computing in Cardiology, 2020, Vol. 2020-September, No. -:9344450, PP. -
Using inverse reinforcement learning with real trajectories to get more trustworthy pedestrian simulations
Martinez-Gil, F. and Lozano, M. and García-Fernández, I. and Romero, P. and Serra, D. and Sebastián, R.

Mathematics, 2020, Vol. 8, No. 9:1479, PP. -
In silico pace-mapping: Prediction of left vs. right outflow tract origin in idiopathic ventricular arrhythmias with patient-specific electrophysiological simulations
Doste, R. and Sebastian, R. and Gomez, J.F. and Soto-Iglesias, D. and Alcaine, A. and Mont, L. and Berruezo, A. and Penela, D. and Camara, O.

Europace, 2020, Vol. 22, No. 9:-, PP. 1419-1430
A robust wavelet-based approach for dominant frequency analysis of atrial fibrillation in body surface signals
Marques, V.G. and Rodrigo, M. and Guillem, M.S. and Salinet, J.

Physiological Measurement, 2020, Vol. 41, No. 7:075004, PP. -
Intrinsically stretchable electrode array enabled in vivo electrophysiological mapping of atrial fibrillation at cellular resolution
Liu, J. and Zhang, X. and Liu, Y. and Rodrigo, M. and Loftus, P.D. and Aparicio-Valenzuela, J. and Zheng, J. and Pong, T. and Cyr, K.J. and Babakhanian, M. and Hasi, J. and Li, J. and Jiang, Y. and Kenney, C.J. and Wang, P.J. and Lee, A.M. and Bao, Z.

Proceedings of the National Academy of Sciences of the United States of America, 2020, Vol. 117, No. 26:-, PP. 14769-14778
Noninvasive Assessment of Complexity of Atrial Fibrillation: Correlation with Contact Mapping and Impact of Ablation
Rodrigo, M. and Climent, A.M. and Hernández-Romero, I. and Liberos, A. and Baykaner, T. and Rogers, A.J. and Alhusseini, M. and Wang, P.J. and Fernández-Avilés, F. and Guillem, M.S. and Narayan, S.M. and Atienza, F.

Circulation: Arrhythmia and Electrophysiology, 2020, Vol. 13, No. 3:-, PP. E007700
Novel three-dimensional imaging approach for cryoballoon navigation and confirmation of pulmonary vein occlusion
Kowalewski, C.A.B. and Rodrigo, M. and Brodt, C. and Haddad, F. and Wang, P.J. and Narayan, S.M.

PACE - Pacing and Clinical Electrophysiology, 2020, Vol. 43, No. 3:-, PP. 269-277
Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation: Quality EGM Assessment for Reentry Identification
Costoya-Sánchez, A. and Climent, A.M. and Hernández-Romero, I. and Liberos, A. and Fernández-Avilés, F. and Narayan, S.M. and Atienza, F. and Guillem, M.S. and Rodrigo, M.

Computers in Biology and Medicine, 2020, Vol. 117, No. -:103593, PP. -
Morphometry and comparative histology of sinus and atrioventricular nodes in humans and pigs and their relevance in the prevention of nodal arrhythmias
Gómez-Torres, F.A. and Sebastian, R. and Ruíz-Sauri, A.

Research in Veterinary Science, 2020, Vol. 128, No. -:-, PP. 275-285
Recovering old grapevine varieties
García, J. and Peiró, R. and Martínez-Gil, F. and Soler, J.X. and Jiménez, C. and Yuste, A. and Xirivella, C. and Gisbert, C.

Vitis - Journal of Grapevine Research, 2020, Vol. 59, No. 3:-, PP. 101-103
Prediction of CRT Activation Sequence by Personalization of Biventricular Models from Electroanatomical Maps
Gomez, J.F. and Trenor, B. and Sebastian, R.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Vol. 12009 LNCS, No. -:-, PP. 342-351
Drug-Coated Balloon Angioplasty in Clinical Practice for Below-the-Knee, Popliteal, and Crural Artery Lesions Causing Critical Limb Ischemia: 1-Year Results from the Spanish Luminor Registry
Riambau, V. and Acín, F. and de Blas, M.J. and Alonso, M. and Giménez-Gaibar, A. and Cañibano Domínguez, C. and Michel Guisasola, I. and Yugueros, X. and Mestres, G. and Rioja Artal, S. and González Cañas, E. and García Fernández, I. and Vázquez Dopazo, R. and Padron Encalada, C. and Agúndez Gómez, I. and Bernabé, M.H. and Asensio García, R. and Bravo Ruiz, E. and García, A. and Egaña, J.M. and Apodaka, A. and Mikelarena Monteiro, E.

Annals of Vascular Surgery, 2020, Vol. 62, No. -:-, PP. 387-396