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. -
DOI:10.1016/j.amc.2024.129078
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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. -
DOI:10.1016/j.compbiomed.2024.109176
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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
DOI:10.3390/diagnostics14141538
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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. -
DOI:10.1093/europace/euad055
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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. -
DOI:10.3389/fcvm.2023.1189293
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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. -
DOI:10.3389/fphys.2022.939350
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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. -
DOI:10.1016/j.compbiomed.2022.105957
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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. -
DOI:10.3389/fphys.2022.909372
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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. -
DOI:10.3390/app12136438
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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. -
DOI:10.1088/1361-6579/ac72f5
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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. -
DOI:10.1016/j.compbiomed.2022.105451
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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. -
DOI:10.3390/math10081293
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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
DOI:10.1007/978-3-031-23443-9\_6
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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. -
DOI:10.1109/TAEE54169.2022.9840666
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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. -
DOI:10.3389/fphys.2021.713118
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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. -
DOI:10.1016/j.media.2021.102075
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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
DOI:10.1109/TMI.2021.3073499
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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
DOI:10.1145/3458306.3460996
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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
DOI:10.1111/jce.15073
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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. -
DOI:10.3389/fphys.2021.653013
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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. -
DOI:10.1371/journal.pone.0249873
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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
DOI:10.1111/pace.14185
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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. -
DOI:10.1016/j.bspc.2020.102354
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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. -
DOI:10.3389/fphys.2020.611266
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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. -
DOI:10.1109/GLOBECOM46510.2021.9685880
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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. -
DOI:10.23919/CinC53138.2021.9662767
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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. -
DOI:10.23919/CinC53138.2021.9662845
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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. -
DOI:10.23919/CinC53138.2021.9662650
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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. -
DOI:10.23919/CinC53138.2021.9662944
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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
DOI:10.1007/978-3-030-78710-3\_51
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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
DOI:10.1007/978-3-030-78710-3\_64
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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
DOI:10.1007/978-3-030-78710-3\_9
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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
DOI:10.1016/j.recesp.2020.05.040
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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. -
DOI:10.1016/j.compbiomed.2020.104031
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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. -
DOI:10.1016/j.compbiomed.2020.103904
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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. -
DOI:10.22489/CinC.2020.242
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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. -
DOI:10.22489/CinC.2020.383
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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. -
DOI:10.22489/CinC.2020.129
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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. -
DOI:10.3390/math8091479
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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
DOI:10.1093/europace/euaa102
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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. -
DOI:10.1088/1361-6579/ab97c1
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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
DOI:10.1073/pnas.2000207117
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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
DOI:10.1161/CIRCEP.119.007700
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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
DOI:10.1111/pace.13858
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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. -
DOI:10.1016/j.compbiomed.2019.103593
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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
DOI:10.1016/j.rvsc.2019.12.008
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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
DOI:10.5073/vitis.2020.59.101-103
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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
DOI:10.1007/978-3-030-39074-7\_36
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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
DOI:10.1016/j.avsg.2019.06.035
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Automatic Quality Electrogram Assessment Improves Reentrant Activity Identification in Atrial Fibrillation
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.

Computing in Cardiology, 2019, Vol. 2019-September, No. -:9005881, PP. -
DOI:10.23919/CinC49843.2019.9005881
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Temporal Stability of Dominant Frequency as Predictor of Atrial Fibrillation Recurrence
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.

Computing in Cardiology, 2019, Vol. 2019-September, No. -:9005772, PP. -
DOI:10.23919/CinC49843.2019.9005772
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Effect of Reducing the Number of Leads from Body Surface Potential Mapping in Computer Models of Atrial Arrhythmias
Marques, V.G. and Rodrigo, M. and Guillem, M.S. and Salinet, J.

Computing in Cardiology, 2019, Vol. 2019-September, No. -:9005913, PP. -
DOI:10.23919/CinC49843.2019.9005913
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Non-Invasive Electrophysiological Mapping Entropy Predicts Atrial Fibrillation Ablation Efficacy Better Than Clinical Characteristics
De La Nava, A.S. and Fabregat, M.C. and Rodrigo, M. and Hernandez, I. and Liberos, A. and Fernández-Avilés, F. and Guillem, M.S. and Atienza, F. and Climent, A.M.

Computing in Cardiology, 2019, Vol. 2019-September, No. -:9005902, PP. -
DOI:10.23919/CinC49843.2019.9005902
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Predicting the Origin of Outflow Tract Ventricular Arrhythmias Using Machine Learning Techniques Trained with Patient-Specific Electrophysiological Simulations
Doste, R. and Lozano, M. and Gomez, J.F. and Alcaine, A. and Mont, L. and Berruezo, A. and Camara, O. and Sebastian, R.

Computing in Cardiology, 2019, Vol. 2019-September, No. -:9005825, PP. -
DOI:10.23919/CinC49843.2019.9005825
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Effects of Geometry in Atrial Fibrillation Markers Obtained with Electrocardiographic Imaging
Molero, R. and Climent, A.M. and Hernández-Romero, I. and Liberos, A. and Fernández-Avilés, F. and Atienza, F. and Guillem, M.S. and Rodrigo, M.

Computing in Cardiology, 2019, Vol. 2019-September, No. -:9005905, PP. -
DOI:10.23919/CinC49843.2019.9005905
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Non-Invasive Characterization of Atrial Arrhythmic Driving Mechanisms in Computer Models
Marques, V.G. and Rodrigo, M. and Guillem, M.S. and Salinet, J.

Computing in Cardiology, 2019, Vol. 2019-September, No. -:9005867, PP. -
DOI:10.23919/CinC49843.2019.9005867
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Online webinar training to analyse complex atrial fibrillation maps: A randomized trial
Mesquita, J. and Maniar, N. and Baykaner, T. and Rogers, A.J. and Swerdlow, M. and Alhusseini, M.I. and Shenasa, F. and Brizido, C. and Matos, D. and Freitas, P. and Santos, A.R. and Rodrigues, G. and Silva, C. and Rodrigo, M. and Dong, Y. and Clopton, P. and Ferreira, A.M. and Narayan, S.M.

PLoS ONE, 2019, Vol. 14, No. 7:e0217988, PP. -
DOI:10.1371/journal.pone.0217988
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A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts
Doste, R. and Soto-Iglesias, D. and Bernardino, G. and Alcaine, A. and Sebastian, R. and Giffard-Roisin, S. and Sermesant, M. and Berruezo, A. and Sanchez-Quintana, D. and Camara, O.

International Journal for Numerical Methods in Biomedical Engineering, 2019, Vol. 35, No. 4:e3185, PP. -
DOI:10.1002/cnm.3185
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Shock wave formation in compliant arteries
Rodero, C. and Conejero, J.A. and García-Fernández, I.

Evolution Equations and Control Theory, 2019, Vol. 8, No. 1:-, PP. 221-230
DOI:10.3934/eect.2019012
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Changes in the spatial distribution of the Purkinje network after acute myocardial infarction in the pig
Garcia-Bustos, V. and Sebastian, R. and Izquierdo, M. and Rios-Navarro, C. and Bodí, V. and Chorro, F.J. and Ruiz-Sauri, A.

PLoS ONE, 2019, Vol. 14, No. 2:e0212096, PP. -
DOI:10.1371/journal.pone.0212096
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Influence of fiber connectivity in simulations of cardiac biomechanics
Gil, D. and Aris, R. and Borras, A. and Ramirez, E. and Sebastian, R. and Vazquez, M.

International Journal of Computer Assisted Radiology and Surgery, 2019, Vol. 14, No. 1:-, PP. 63-72
DOI:10.1007/s11548-018-1849-9
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Ablation of Atrial Fibrillation Drivers: Focal Impulse and Rotor Modulation
Narayan, S.M. and Baykaner, T. and Brodt, C. and Zaman, J.A.B. and Kowalewski, C.A.B. and Rodrigo, M. and Viswanathan, M.N. and Wang, P.J.

Catheter Ablation of Cardiac Arrhythmias, 2019, Vol. -, No. -:-, PP. 279-291.e2
DOI:10.1016/B978-0-323-52992-1.00018-1
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Procedural location of roads using desire paths
Real, P. and Martínez-Gil, F. and Martínez-Durá, R.J. and García-Fernández, I.

29th Spanish Computer Graphics Conference, CEIG 2019, 2019, Vol. -, No. -:-, PP. 19-24
DOI:10.2312/ceig.20191199
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Recovering ancient grapevine cultivars in the Spanish provinces of Alicante and Valencia
Yuste, A. and Martínez-Gil, F. and García-Martínez, S. and López Lluch, D. and Peiró, R. and Jiménez, C. and Ruiz, J.J. and Gisbert, C.

Acta Horticulturae, 2019, Vol. 1248, No. -:-, PP. 43-46
DOI:10.17660/ActaHortic.2019.1248.6
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Genetic variability in grapevine clones of ‘Muscat of Alexandria’
Esteras, C. and Peiró, R. and Soler, J.X. and Martínez-Gil, F. and Ruiz, J.J. and Picó, B. and Gisbert, C.

Acta Horticulturae, 2019, Vol. 1248, No. -:-, PP. 77-80
DOI:10.17660/ActaHortic.2019.1248.11
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Looking for old grapevine varieties
Jiménez, C. and Peiró, R. and Yuste, A. and Garciá, J. and Martínez-Gil, F. and Gisbert, C.

Vitis - Journal of Grapevine Research, 2019, Vol. 58, No. 2:-, PP. 59-60
DOI:10.5073/vitis.2019.58.59-60
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Personalized cardiac computational models: From clinical data to simulation of infarct-related ventricular tachycardia
Lopez-Perez, A. and Sebastian, R. and Izquierdo, M. and Ruiz, R. and Bishop, M. and Ferrero, J.M.

Frontiers in Physiology, 2019, Vol. 10, No. MAY:580, PP. -
DOI:10.3389/fphys.2019.00580
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Optimization of lead placement in the right ventricle during cardiac resynchronization therapy. A simulation study
Carpio, E.F. and Gomez, J.F. and Sebastian, R. and Lopez-Perez, A. and Castellanos, E. and Almendral, J. and Ferrero, J.M. and Trenor, B.

Frontiers in Physiology, 2019, Vol. 10, No. FEB:74, PP. -
DOI:10.3389/fphys.2019.00074
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Phase singularity point tracking for the identification of typical and atypical flutter patients: A clinical-computational study
Liberos, A. and Rodrigo, M. and Hernandez-Romero, I. and Quesada, A. and Fernandez-Aviles, F. and Atienza, F. and Climent, A.M. and Guillem, M.S.

Computers in Biology and Medicine, 2019, Vol. 104, No. -:-, PP. 319-328
DOI:10.1016/j.compbiomed.2018.11.020
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Combining Biophysical Modeling and Machine Learning to Predict Location of Atrial Ectopic Triggers
Godoy, E.J. and Lozano, M. and Garcia-Fernandez, I. and Sebastian, R.

Computing in Cardiology, 2018, Vol. 2018-September, No. -:8743855, PP. -
DOI:10.22489/CinC.2018.069
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In Silico Safety Pharmacology on Intersubject Variability Population of Models: A Regression Model Approach
De La Nava, A.S. and Liberos, A. and Hernandez-Romero, I. and Guillem, M.S. and Atienza, F. and Fernandez-Aviles, F. and Climent, A.M.

Computing in Cardiology, 2018, Vol. 2018-September, No. -:8743778, PP. -
DOI:10.22489/CinC.2018.094
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Statistical guidance of VT ablation
Rodrigo, M. and Narayan, S.M.

Journal of Cardiovascular Electrophysiology, 2018, Vol. 29, No. 7:-, PP. 987-989
DOI:10.1111/jce.13633
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Automatic estimation of Purkinje-Myocardial junction hot-spots from noisy endocardial samples: A simulation study
Barber, F. and García-Fernández, I. and Lozano, M. and Sebastian, R.

International Journal for Numerical Methods in Biomedical Engineering, 2018, Vol. 34, No. 7:e2988, PP. -
DOI:10.1002/cnm.2988
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Interaction of Localized Drivers and Disorganized Activation in Persistent Atrial Fibrillation: Reconciling Putative Mechanisms Using Multiple Mapping Techniques
Kowalewski, C.A.B. and Shenasa, F. and Rodrigo, M. and Clopton, P. and Meckler, G. and Alhusseini, M.I. and Swerdlow, M.A. and Joshi, V. and Hossainy, S. and Zaman, J.A.B. and Baykaner, T. and Rogers, A.J. and Brachmann, J. and Miller, J.M. and Krummen, D.E. and Sauer, W.H. and Peters, N.S. and Wang, P.J. and Narayan, S.M.

Circulation: Arrhythmia and Electrophysiology, 2018, Vol. 11, No. 6:e005846, PP. -
DOI:10.1161/CIRCEP.117.005846
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Atrial fibrosis hampers non-invasive localization of atrial ectopic foci from multi-electrode signals: A 3D Simulation Study
Godoy, E.J. and Lozano, M. and García-Fernández, I. and Ferrer-Albero, A. and MacLeod, R. and Saiz, J. and Sebastian, R.

Frontiers in Physiology, 2018, Vol. 9, No. MAY:404, PP. -
DOI:10.3389/fphys.2018.00404
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Clinical Implications of Ablation of Drivers for Atrial Fibrillation: A Systematic Review and Meta-Analysis
Baykaner, T. and Rogers, A.J. and Meckler, G.L. and Zaman, J. and Navara, R. and Rodrigo, M. and Alhusseini, M. and Kowalewski, C.A.B. and Viswanathan, M.N. and Narayan, S.M. and Clopton, P. and Wang, P.J. and Heidenreich, P.A.

Circulation. Arrhythmia and electrophysiology, 2018, Vol. 11, No. 5:-, PP. e006119
DOI:10.1161/CIRCEP.117.006119
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Inverse estimation of terminal connections in the cardiac conduction system
Barber, F. and Lozano, M. and García-Fernández, I. and Sebastián, R.

Mathematical Methods in the Applied Sciences, 2018, Vol. 41, No. 6:-, PP. 2340-2349
DOI:10.1002/mma.4280
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Factors affecting basket catheter detection of real and phantom rotors in the atria: A computational study
Martinez-Mateu, L. and Romero, L. and Ferrer-Albero, A. and Sebastian, R. and Rodríguez Matas, J.F. and Jalife, J. and Berenfeld, O. and Saiz, J.

PLoS Computational Biology, 2018, Vol. 14, No. 3:e1006017, PP. -
DOI:10.1371/journal.pcbi.1006017
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Solving Inaccuracies in Anatomical Models for Electrocardiographic Inverse Problem Resolution by Maximizing Reconstruction Quality
Rodrigo, M. and Climent, A.M. and Liberos, A. and Hernández-Romero, I. and Arenal, Á. and Bermejo, J. and Fernández-Avilés, F. and Atienza, F. and Guillem, M.S.

IEEE Transactions on Medical Imaging, 2018, Vol. 37, No. 3:-, PP. 733-740
DOI:10.1109/TMI.2017.2707413
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Preface
García-Fernández, I. and Ureña, C.

28th Spanish Computer Graphics Conference, CEIG 2018, 2018, Vol. -, No. -:-, PP. V
DOI:-
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Conformation constraints for efficient viscoelastic fluid simulation
Barreiro, H. and García-Fernández, I. and Alduán, I. and Otaduy, M.A.

ACM Transactions on Graphics, 2017, Vol. 36, No. 6:a221, PP. -
DOI:10.1145/3130800.3130854
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The continuous challenge of AF ablation: From foci to rotational activity
Narayan, S.M. and Vishwanathan, M.N. and Kowalewski, C.A.B. and Baykaner, T. and Rodrigo, M. and Zaman, J.A.B. and Wang, P.J.

Revista Portuguesa de Cardiologia, 2017, Vol. 36, No. -:-, PP. 9-17
DOI:10.1016/j.repc.2017.09.007
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Uncoupling of dynamin polymerization and GTPase activity revealed by the conformation-specific nanobody dynab
Galli, V. and Sebastian, R. and Moutel, S. and Ecard, J. and Perez, F. and Roux, A.

eLife, 2017, Vol. 6, No. -:e25197, PP. -
DOI:10.7554/eLife.25197
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Modeling, evaluation, and scale on artificial pedestrians: A literature review
Martinez-Gil, F. and Lozano, M. and García-Fernández, I. and Fernández, F.

ACM Computing Surveys, 2017, Vol. 50, No. 5:72, PP. -
DOI:10.1145/3117808
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Technical considerations on phase mapping for identification of atrial reentrant activity in direct-And inverse-computed electrograms
Rodrigo, M. and Climent, A.M. and Liberos, A. and Fernández-Avilés, F. and Berenfeld, O. and Atienza, F. and Guillem, M.S.

Circulation: Arrhythmia and Electrophysiology, 2017, Vol. 10, No. 9:e005008, PP. -
DOI:10.1161/CIRCEP.117.005008
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Ablation of Focal Impulses and Rotational Sources: What Can Be Learned from Differing Procedural Outcomes?
Narayan, S.M. and Rodrigo, M. and Kowalewski, C.A.B. and Shenasa, F. and Meckler, G.L. and Vishwanathan, M.N. and Baykaner, T. and Zaman, J.A.B. and Wang, P.J.

Current Cardiovascular Risk Reports, 2017, Vol. 11, No. 9:27, PP. -
DOI:10.1007/s12170-017-0552-7
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Minimal configuration of body surface potential mapping for discrimination of left versus right dominant frequencies during atrial fibrillation
Rodrigo, M. and Climent, A.M. and Liberos, A. and Fernández-Aviles, F. and Atienza, F. and Guillem, M.S. and Berenfeld, O.

PACE - Pacing and Clinical Electrophysiology, 2017, Vol. 40, No. 8:-, PP. 940-946
DOI:10.1111/pace.13133
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Highest dominant frequency and rotor positions are robust markers of driver location during noninvasive mapping of atrial fibrillation: A computational study
Rodrigo, M. and Climent, A.M. and Liberos, A. and Fernández-Avilés, F. and Berenfeld, O. and Atienza, F. and Guillem, M.S.

Heart Rhythm, 2017, Vol. 14, No. 8:-, PP. 1224-1233
DOI:10.1016/j.hrthm.2017.04.017
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An atlas- and data-driven approach to initializing reaction-diffusion systems in computer cardiac electrophysiology
Hoogendoorn, C. and Sebastian, R. and Rodriguez, J.F. and Lekadir, K. and Frangi, A.F.

International Journal for Numerical Methods in Biomedical Engineering, 2017, Vol. 33, No. 8:e2846, PP. -
DOI:10.1002/cnm.2846
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Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps
Ferrer-Albero, A. and Godoy, E.J. and Lozano, M. and Martõnez-Mateu, L. and Atienza, F. and Saiz, J. and Sebastian, R.

PLoS ONE, 2017, Vol. 12, No. 7:e0181263, PP. -
DOI:10.1371/journal.pone.0181263
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Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models
Martinez-Gil, F. and Lozano, M. and Fernández, F.

Simulation Modelling Practice and Theory, 2017, Vol. 74, No. -:-, PP. 117-133
DOI:10.1016/j.simpat.2017.03.003
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A quantitative structural and morphometric analysis of the Purkinje network and the Purkinje–myocardial junctions in pig hearts
Garcia-Bustos, V. and Sebastian, R. and Izquierdo, M. and Molina, P. and Chorro, F.J. and Ruiz-Sauri, A.

Journal of Anatomy, 2017, Vol. 230, No. 5:-, PP. 664-678
DOI:10.1111/joa.12594
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Reply to the Editor—On misuse of null hypothesis testing: Analysis of biophysical model simulations
Liberos, A. and Bueno-Orovio, A. and Rodrigo, M. and Ravens, U. and Hernandez-Romero, I. and Fernandez-Aviles, F. and Guillem, M.S. and Rodriguez, B. and Climent, A.M.

Heart Rhythm, 2017, Vol. 14, No. 4:-, PP. e50-e51
DOI:10.1016/j.hrthm.2016.12.011
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Electrophysiological parameters in the electrical propagation during atrial fibrillation: A population of models study
Simon, A. and Liberos, A. and Hernandez-Romero, I. and Bueno-Orovio, A. and Rodrigo, M. and Guillem, M.S. and Atienza, F. and Fernandez-Aviles, F. and Rodriguez, B. and Climent, A.M.

Computing in Cardiology, 2017, Vol. 44, No. -:-, PP. 1-4
DOI:10.22489/CinC.2017.018-358
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Estimation of location and activation time of purkinje myocardial junctions from sparse and noisy endocardial electrical samples
Barber, F. and Lozano, M. and Garcia, I. and Sebastian, R.

Computing in Cardiology, 2017, Vol. 44, No. -:-, PP. 1-4
DOI:10.22489/CinC.2017.314-297
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Dual extruder 3D-bioprinter for computer designed cardiac structures
Dela Nava, A.S. and Liberos, A. and Nieva, E.G. and Hernandez-Romero, I. and Simón, A. and Fernández-Santos, M.E. and Atienza, F. and Climent, A.M. and Fernandez-Aviles, F.

Computing in Cardiology, 2017, Vol. 44, No. -:-, PP. 1-4
DOI:10.22489/CinC.2017.146-273
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Solving inaccuracies in the heart position and orientation for inverse solution by using electric information
Rodrigo, M. and Climent, A.M. and Liberos, A. and Hernández-Romero, I. and Arenal, A. and Bermejo, J. and Fernández-Avilés, F. and Atienza, F. and Guillem, M.S.

Computing in Cardiology, 2017, Vol. 44, No. -:-, PP. 1-4
DOI:10.22489/CinC.2017.226-202
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Evaluation of inverse problem with slow-conducting channel in scar area in a post-infarction model
Chen, Z. and Rodrigo, M. and Liberos, A. and Hernandez-Romero, I. and Requena, J. and Climent, A.M. and Guillem, M.S.

Computing in Cardiology, 2017, Vol. 44, No. -:-, PP. 1-4
DOI:10.22489/CinC.2017.075-284
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Personalization of atrial fibrillation antiarrhythmic drug treatments: A population of models approach
Liberos, A. and Bueno-Orovio, A. and Hernandez-Romero, I. and Rodrigo, M. and Guillem, M.S. and Fernandez-Aviles, F. and Atienza, F. and Rodriguez, B. and Climent, A.M.

Computing in Cardiology, 2017, Vol. 44, No. -:-, PP. 1-4
DOI:10.22489/CinC.2017.002-173
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A rule-based method to model myocardial fiber orientation for simulating ventricular outflow tract arrhythmias
Doste, R. and Soto-Iglesias, D. and Bernardino, G. and Sebastian, R. and Giffard-Roisin, S. and Cabrera-Lozoya, R. and Sermesant, M. and Berruezo, A. and Sánchez-Quintana, D. and Camara, O.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, Vol. 10263 LNCS, No. -:-, PP. 344-353
DOI:10.1007/978-3-319-59448-4\_33
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Quasi-conformal technique for integrating and validating myocardial tissue characterization in MRI with ex-vivo human histological data
Soto-Iglesias, D. and Penela, D. and Planes, X. and Zimmer, V. and Acosta, J. and Andreu, D. and Piella, G. and Sebastian, R. and Sancher-Quintana, D. and Berruezo, A. and Camara, O.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, Vol. 10124 LNCS, No. -:-, PP. 172-181
DOI:10.1007/978-3-319-52718-5\_19
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Balance between sodium and calcium currents underlying chronic atrial fibrillation termination: An in silico intersubject variability study
Liberos, A. and Bueno-Orovio, A. and Rodrigo, M. and Ravens, U. and Hernandez-Romero, I. and Fernandez-Aviles, F. and Guillem, M.S. and Rodriguez, B. and Climent, A.M.

Heart Rhythm, 2016, Vol. 13, No. 12:-, PP. 2358-2365
DOI:10.1016/j.hrthm.2016.08.028
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Corrigendum: Regularization techniques for ECG imaging during atrial fibrillation: A computational study [Front. Physiol., 7 (2016) 466]. DOI:10.3389/fphys.2016.00466
Figuera, C. and Suárez-Gutiérrez, V. and Hernández-Romero, I. and Rodrigo, M. and Liberos, A. and Atienza, F. and Guillem, M.S. and Barquero-Pérez, O. and Climent, A.M. and Alonso-Atienza, F.

Frontiers in Physiology, 2016, Vol. 7, No. NOV:556, PP. -
DOI:10.3389/fphys.2016.00556
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Regularization techniques for ECG imaging during atrial fibrillation: A computational study
Figuera, C. and Suárez-Gutiérrez, V. and Hernández-Romero, I. and Rodrigo, M. and Liberos, A. and Atienza, F. and Guillem, M.S. and Barquero-Pérez, Ó. and Climent, A.M. and Alonso-Atienza, F.

Frontiers in Physiology, 2016, Vol. 7, No. OCT:466, PP. -
DOI:10.3389/fphys.2016.00466
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Analysis of microstructure of the cardiac conduction system based on three-dimensional confocal microscopy
Romero, D. and Camara, O. and Sachse, F. and Sebastian, R.

PLoS ONE, 2016, Vol. 11, No. 10:e0164093, PP. -
DOI:10.1371/journal.pone.0164093
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Identification of Dominant Excitation Patterns and Sources of Atrial Fibrillation by Causality Analysis
Rodrigo, M. and Climent, A.M. and Liberos, A. and Calvo, D. and Fernández-Avilés, F. and Berenfeld, O. and Atienza, F. and Guillem, M.S.

Annals of Biomedical Engineering, 2016, Vol. 44, No. 8:-, PP. 2364-2376
DOI:10.1007/s10439-015-1534-x
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Presence and stability of rotors in atrial fibrillation: Evidence and therapeutic implications
Guillem, M.S. and Climent, A.M. and Rodrigo, M. and Fernández-Aviles, F. and Atienza, F. and Berenfeld, O.

Cardiovascular Research, 2016, Vol. 109, No. 4:-, PP. 480-492
DOI:10.1093/cvr/cvw011
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Noninvasive estimation of epicardial dominant high-frequency regions during atrial fibrillation
Pedrón-Torrecilla, J. and Rodrigo, M. and Climent, A.M. and Liberos, A. and Pérez-David, E. and Bermejo, J. and Arenal, Á. and Millet, J. and Fernández-Avilés, F. and Berenfeld, O. and Atienza, F. and Guillem, M.S.

Journal of Cardiovascular Electrophysiology, 2016, Vol. 27, No. 4:-, PP. 435-442
DOI:10.1111/jce.12931
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Analysis of in-silico body surface P-wave integral maps show important differences depending on the connections between coronary sinus and left atrium
Ferrer-Albero, A. and Godoy, E.J. and Sebastian, R. and Martinez, L. and Saiz, J.

Computing in Cardiology, 2016, Vol. 43, No. -:7868850, PP. 745-748
DOI:10.22489/cinc.2016.216-280
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Noninvasive identification of atrial fibrillation drivers: Simulation and patient data evaluation
Guillem, M.S. and Climent, A.M. and Rodrigo, M. and Hernandez-Romero, I. and Liberos, A. and Fernandez-Aviles, F. and Berenfeld, O. and Atienza, F.

Computing in Cardiology, 2016, Vol. 43, No. -:7868694, PP. 121-124
DOI:-
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Performance of inverse problem regularization methods for driver location during atrial fibrillation
Figuera, C. and Suarez-Gutierrez, V. and Barquero-Perez, O. and Goya-Esteban, R. and Rodrigo, M. and Hernandez, I. and Atienza, F. and Guillem, M.S. and Climent, A.M. and Alonso-Atienza, F.

Computing in Cardiology, 2016, Vol. 43, No. -:7868837, PP. 693-696
DOI:-
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Highest Dominant Frequency and rotor positions are stable markers for atrial driver location in non-invasive mapping of atrial fibrillation
Rodrigo, M. and Climent, A.M. and Liberos, A. and Fernandez-Aviles, F. and Berenfeld, O. and Atienza, F. and Guillem, M.S.

Computing in Cardiology, 2016, Vol. 43, No. -:7868667, PP. 13-16
DOI:-
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Automatic location of sources of electrical activation from electroanatomical maps
Barber, F. and Lozano, M. and Garcia-Fernandez, I. and Sebastian, R.

Computing in Cardiology, 2016, Vol. 43, No. -:7868775, PP. 445-448
DOI:10.22489/cinc.2016.128-255
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Phase space data-driven simulation of elastic materials
Monteagudo, C. and Lozano, M. and García-Fernández, I. and Martinez-Gil, F.

26th Spanish Computer Graphics Conference, CEIG 2016 - Co-located with Congreso Espanol de Informatica, CEDI 2016, 2016, Vol. -, No. -:-, PP. 69-73
DOI:10.2312/ceig.20161316
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Characterisation of position based dynamics for elastic materials
Rodero, C. and Real, P. and Zuñeda, P. and Monteagudo, C. and Lozano, M. and García-Fernández, I.

26th Spanish Computer Graphics Conference, CEIG 2016 - Co-located with Congreso Espanol de Informatica, CEDI 2016, 2016, Vol. -, No. -:-, PP. 49-57
DOI:10.2312/ceig.20161314
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MARL-Ped+Hitmap: Towards improving agent-based simulations with distributed arrays
Rodriguez-Gutiez, E. and Martinez-Gil, F. and Orduña, J.M. and Gonzalez-Escribano, A.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, Vol. 10049 LNCS, No. -:-, PP. 212-225
DOI:10.1007/978-3-319-49956-7\_17
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Atrial sources identification by causality analysis during atrial fibrillation
Rodrigo, M. and Climent, A.M. and Liberos, A. and Fernandez-Aviles, F. and Berenfeld, O. and Atienza, F. and Guillem, M.S.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2015, Vol. 2015-November, No. -:7319217, PP. 3783-3786
DOI:10.1109/EMBC.2015.7319217
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Detailed anatomical and electrophysiological models of human atria and torso for the simulation of atrial activation
Ferrer, A. and Sebastián, R. and Sánchez-Quintana, D. and Rodríguez, J.F. and Godoy, E.J. and Martínez, L. and Saiz, J.

PLoS ONE, 2015, Vol. 10, No. 11:e0141573, PP. -
DOI:10.1371/journal.pone.0141573
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Ventricular Tachycardia and Early Fibrillation in Patients with Brugada Syndrome and Ischemic Cardiomyopathy Show Predictable Frequency-Phase Properties on the Precordial ECG Consistent with the Respective Arrhythmogenic Substrate
Calvo, D. and Atienza, F. and Saiz, J. and Martínez, L. and Ávila, P. and Rubín, J. and Herreros, B. and Arenal, Á. and García-Fernández, J. and Ferrer, A. and Sebastián, R. and Martínez-Camblor, P. and Jalife, J. and Berenfeld, O.

Circulation: Arrhythmia and Electrophysiology, 2015, Vol. 8, No. 5:-, PP. 1133-1143
DOI:10.1161/CIRCEP.114.002717
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Estimation of Purkinje trees from electro-anatomical mapping of the left ventricle using minimal cost geodesics
Cárdenes, R. and Sebastian, R. and Soto-Iglesias, D. and Berruezo, A. and Camara, O.

Medical Image Analysis, 2015, Vol. 24, No. 1:-, PP. 52-62
DOI:10.1016/j.media.2015.05.007
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Texture advection on discontinuous flows
Rodríguez-Cerro, A. and García-Fernández, I. and Martínez-Durá, R.J. and Pla-Castells, M.

Visual Computer, 2015, Vol. 31, No. 6-8:-, PP. 1033-1043
DOI:10.1007/s00371-015-1118-7
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Three-dimensional cardiac computational modelling: methods, features and applications
Lopez-Perez, A. and Sebastian, R. and Ferrero, J.M.

BioMedical Engineering Online, 2015, Vol. 14, No. 1:35, PP. -
DOI:10.1186/s12938-015-0033-5
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Performance evaluation of discontinuity tracking in vector fields for avalanche simulation
Rodríguez-Cerro, Á. and Lozano, M. and García-Fernández, I. and Martínez-Durá, R.J.

29th Annual European Simulation and Modelling Conference 2015, ESM 2015, 2015, Vol. -, No. -:-, PP. 211-216
DOI:-
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Lateral diffusion in finite difference schemes for avalanche simulation
Rodríguez-Cerro, Á. and Molner, N. and García-Fernández, I. and Dura, R.J.M.

13th International Industrial Simulation Conference 2015, ISC 2015, 2015, Vol. -, No. -:-, PP. 147-152
DOI:-
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Data analysis in cardiac arrhythmias
Rodrigo, M. and Pedrón-Torecilla, J. and Hernández, I. and Liberos, A. and Climent, A.M. and Guillem, M.S.

Methods in Molecular Biology, 2015, Vol. 1246, No. -:-, PP. 217-235
DOI:10.1007/978-1-4939-1985-7\_14
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Emergent collective behaviors in a multi-agent reinforcement learning pedestrian simulation: A case study
Martinez-Gil, F. and Lozano, M. and Fernández, F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, Vol. 9002, No. -:-, PP. 228-238
DOI:10.1007/978-3-319-14627-0\_16
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Modelling and simulation of several interacting Cellular automata
Pla-Castells, M. and García-Fernández, I. and Martínez-Durá, R.J.

International Journal of Computer Aided Engineering and Technology, 2015, Vol. 7, No. 2:-, PP. 192-206
DOI:10.1504/IJCAET.2015.068336
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Strategies for simulating pedestrian navigation with multiple reinforcement learning agents
Martinez-Gil, F. and Lozano, M. and Fernández, F.

Autonomous Agents and Multi-Agent Systems, 2015, Vol. 29, No. 1:-, PP. 98-130
DOI:10.1007/s10458-014-9252-6
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Design of an ICT tool for decision making in social and health policies
Grimaldo, F. and Orduña, Juan M. and Ródenas, F. and Garcés, J. and Lozano, M. and Duato, J. and Carretero, S. and Fatas, E.

Healthcare Administration: Concepts, Methodologies, Tools, and Applications, 2014, Vol. 2, No. -:-, PP. 997-1014
DOI:10.4018/978-1-4666-6339-8.ch052
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Towards a simulator of integrated long-term care systems for elderly people
Grimaldo, F. and Orduña, J.M. and Lozano, M. and Ródenas, F. and Garcés, J.

International Journal on Artificial Intelligence Tools, 2014, Vol. 23, No. 1:1440005, PP. -
DOI:10.1142/S0218213014400053
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Accelerating collision detection for large-scale crowd simulation on multi-core and many-core architectures
Vigueras, G. and Orduña, J.M. and Lozano, M. and Cecilia, J.M. and García, J.M.

International Journal of High Performance Computing Applications, 2014, Vol. 28, No. 1:-, PP. 33-49
DOI:10.1177/1094342013476119
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Accuracy of inverse solution computation of dominant frequencies and phases during atrial fibrillation
Pedrón-Torrecilla, J. and Climent, A.M. and Liberos, A. and Rodrigo, M. and Pérez-David, E. and Millet, J. and Fernández-Avilés, F. and Berenfeld, O. and Atienza, F. and Guillem, M.S.

Computing in Cardiology, 2014, Vol. 41, No. January:7043098, PP. 537-540
DOI:-
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Non-invasive detection of reentrant drivers during atrial fibrillation: A clinical-computational study
Rodrigo, M. and Clirnent, A.M. and Liberos, A. and Pedrón-Torrecilla, J. and Millet, J. and Fernández-Avilés, F. and Atienza, F. and Berenfeld, O. and Guillem, M.S.

Computing in Cardiology, 2014, Vol. 41, No. January:7042966, PP. 9-12
DOI:-
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Inverse estimation of ventricular purkinje tree pathways from sequences of depolarization
Cardenes, R. and Sebastian, R. and Berruezo, A. and Camara, O.

Computing in Cardiology, 2014, Vol. 41, No. January:7043133, PP. 677-680
DOI:-
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Body surface localization of left and right atrial high-frequency rotors in atrial fibrillation patients: A clinical-computational study
Rodrigo, M. and Guillem, M.S. and Climent, A.M. and Pedrón-Torrecilla, J. and Liberos, A. and Millet, J. and Fernández-Avilés, F. and Atienza, F. and Berenfeld, O.

Heart Rhythm, 2014, Vol. 11, No. 9:-, PP. 1584-1591
DOI:10.1016/j.hrthm.2014.05.013
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MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups
Martinez-Gil, F. and Lozano, M. and Fernández, F.

Simulation Modelling Practice and Theory, 2014, Vol. 47, No. -:-, PP. 259-275
DOI:10.1016/j.simpat.2014.06.005
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Estimation of electrical pathways finding minimal cost paths from electro-anatomical mapping of the left ventricle
Cárdenes, R. and Sebastian, R. and Soto-Iglesias, D. and Andreu, D. and Fernández-Armenta, J. and Bijnens, B. and Berruezo, A. and Camara, O.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, Vol. 8330 LNCS, No. -:-, PP. 220-227
DOI:10.1007/978-3-642-54268-8\_26
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Characterization of the jason multiagent platform on multicore processors
Pérez-Carro, P. and Grimaldo, F. and Lozano, M. and Orduña, J.M.

Scientific Programming, 2014, Vol. 22, No. 1:-, PP. 21-35
DOI:10.3233/SPR-130375
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Adaptive step ODE algorithms for the 3D simulation of electric heart activity with graphics processing units
Garcia-Molla, V.M. and Liberos, A. and Vidal, A. and Guillem, M.S. and Millet, J. and Gonzalez, A. and Martinez-Zaldivar, F.J. and Climent, A.M.

Computers in Biology and Medicine, 2014, Vol. 44, No. 1:-, PP. 15-26
DOI:10.1016/j.compbiomed.2013.10.023
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Design of an ICT tool for decision making in social and health policies
Grimaldo, F. and Ródenas, F. and Lozano, M. and Carretero, S. and Orduña, J.M. and Garcés, J. and Duato, J. and Fatas, E.

Handbook of Research on ICTs for Human-Centered Healthcare and Social Care Services, 2013, Vol. -, No. -:-, PP. 802-819
DOI:10.4018/978-1-4666-3986-7.ch042
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Identification of ablation sites in atrial flutter by causal method
Rodrigo, M. and Liberos, A. and Climent, A.M. and Guillem, M.S.

Computing in Cardiology, 2013, Vol. 40, No. -:6713475, PP. 707-710
DOI:-
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Accuracy of non-invasive frequency estimation during atrial fibrillation
Pedron-Torrecilla, J. and Liberos, A. and Millet, J. and Climent, A.M. and Guillem, M.S.

Computing in Cardiology, 2013, Vol. 40, No. -:6713594, PP. 1183-1186
DOI:-
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Computational simulation and analysis of 3D body surface potential patterns generated by common atrial arrhythmias
Ferrer, A. and Sebastian, R. and Rodriguez, J.F. and Tobon, C. and Guillem, M. and Godoy, E.J. and Saiz, J.

Computing in Cardiology, 2013, Vol. 40, No. -:6713528, PP. 919-922
DOI:-
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Body surface potential propagation maps during macroreentrant atrial arrhythmias. A simulation study
Liberos, A. and Pedron-Torrecilla, J. and Rodrigo, M. and Millet, J. and Climent, A.M. and Guillem, M.S.

Computing in Cardiology, 2013, Vol. 40, No. -:6713527, PP. 915-918
DOI:-
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Non-invasive location of re-entrant propagation patterns during atrial fibrillation
Rodrigo, M. and Climent, A.M. and Liberos, A. and Pedron-Torrecilla, J. and Millet, J. and Fernandez-Aviles, F. and Atienza, F. and Berenfeld, O. and Guillem, M.S.

Computing in Cardiology, 2013, Vol. 40, No. -:6713607, PP. 1235-1238
DOI:-
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Understanding the mechanisms amenable to CRT response: From pre-operative multimodal image data to patient-specific computational models
Tobon-Gomez, C. and Duchateau, N. and Sebastian, R. and Marchesseau, S. and Camara, O. and Donal, E. and De Craene, M. and Pashaei, A. and Relan, J. and Steghofer, M. and Lamata, P. and Delingette, H. and Duckett, S. and Garreau, M. and Hernandez, A. and Rhode, K.S. and Sermesant, M. and Ayache, N. and Leclercq, C. and Razavi, R. and Smith, N.P. and Frangi, A.F.

Medical and Biological Engineering and Computing, 2013, Vol. 51, No. 11:-, PP. 1235-1250
DOI:10.1007/s11517-013-1044-7
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Modeling the different sections of the cardiac conduction system to obtain realistic electrocardiograms
Dux-Santoy, L. and Sebastian, R. and Rodriguez, J.F. and Ferrero, J.M.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2013, Vol. -, No. -:6611130, PP. 6846-6849
DOI:10.1109/EMBC.2013.6611130
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A scalable multiagent system architecture for interactive applications
Vigueras, G. and Orduña, J.M. and Lozano, M. and Jégou, Y.

Science of Computer Programming, 2013, Vol. 78, No. 6:-, PP. 715-724
DOI:10.1016/j.scico.2011.09.002
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A read-copy update based parallel server for distributed crowd simulations
Vigueras, G. and Orduña, J.M. and Lozano, M.

Journal of Supercomputing, 2013, Vol. 64, No. 1:-, PP. 156-166
DOI:10.1007/s11227-012-0766-x
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Characterization and modeling of the peripheral cardiac conduction system
Sebastian, R. and Zimmerman, V. and Romero, D. and Sanchez-Quintana, D. and Frangi, A.F.

IEEE Transactions on Medical Imaging, 2013, Vol. 32, No. 1:6317191, PP. 45-55
DOI:10.1109/TMI.2012.2221474
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Non-invasive estimation of the activation sequence in the atria during sinus rhythm and atrial tachyarrhythmia
Pedron-Torrecilla, J. and Climent, A.M. and Liberos, A. and Perez-David, E. and Millet, J. and Atienza, F. and Guillem, M.S.

Computing in Cardiology, 2012, Vol. 39, No. -:6420540, PP. 901-904
DOI:-
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Identification of fibrillatory sources by measuring causal relationships
Rodrigo, M. and Guillem, M.S. and Liberos, A. and Millet, J. and Berenfeld, O. and Climent, A.M.

Computing in Cardiology, 2012, Vol. 39, No. -:6420491, PP. 705-708
DOI:-
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Biophysical modelling of bundle branch reentry initiation and maintenance
Dux-Santoy, L. and Rodriguez, J.F. and Sebastian, R. and Saiz, J. and Ferrero, J.M.

Computing in Cardiology, 2012, Vol. 39, No. -:6420370, PP. 221-224
DOI:-
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Integration of different cardiac electrophysiological models into a single simulation pipeline
Camara, O. and Sermesant, M. and Lamata, P. and Wang, L. and Pop, M. and Relan, J. and De Craene, M. and Delingette, H. and Liu, H. and Niederer, S. and Pashaei, A. and Plank, G. and Romero, D. and Sebastian, R. and Wong, K.C.L. and Zhang, H. and Ayache, N. and Frangi, A.F. and Shi, P. and Smith, N.P. and Wright, G.A.

Proceedings - International Symposium on Biomedical Imaging, 2012, Vol. -, No. -:6235837, PP. 1429
DOI:10.1109/ISBI.2012.6235837
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Towards a model for urban mobility social simulation: A perspective from J-MADeM decision-making
Grimaldo, F. and Lozano, M. and Barber, F. and Guerra-Hernández, A.

Progress in Artificial Intelligence, 2012, Vol. 1, No. 2:-, PP. 149-156
DOI:10.1007/s13748-012-0012-z
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Multiagent system for detecting and solving design-time conflicts in civil infrastructure
Faus, J.D. and Grimaldo, F. and Barber, F.

Advances in Intelligent and Soft Computing, 2012, Vol. 157 AISC, No. -:-, PP. 57-64
DOI:10.1007/978-3-642-28795-4\_7
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Multi-agent reinforcement learning for simulating pedestrian navigation
Martinez-Gil, F. and Lozano, M. and Fernández, F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, Vol. 7113 LNAI, No. -:-, PP. 54-69
DOI:10.1007/978-3-642-28499-1\_4
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Population dynamics visualization
Lozano, M. and García-Fernández, I. and Orduña, J.M.

22nd Spanish Computer Graphics Conference, CEIG 2012, 2012, Vol. -, No. -:-, PP. 161
DOI:10.2312/LocalChapterEvents/CEIG/CEIG12/161-161
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Calibrating a motion model based on reinforcement learning for pedestrian simulation
Martinez-Gil, F. and Lozano, M. and Fernández, F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, Vol. 7660 LNCS, No. -:-, PP. 302-313
DOI:10.1007/978-3-642-34710-8\_28
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An adaptive step size GPU ODE solver for simulating the electric cardiac activity
Garcia, V.M. and Liberos, A. and Climent, A.M. and Vidal, A. and Millet, J. and González, A.

Computing in Cardiology, 2011, Vol. 38, No. -:6164545, PP. 233-236
DOI:-
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Causality relation map: A novel methodology for the identification of hierarchical fibrillatory processes
Rodrigo, M. and Liberos, A. and Guillem, M.S. and Millet, J. and Climent, A.M.

Computing in Cardiology, 2011, Vol. 38, No. -:6164530, PP. 173-176
DOI:-
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Interaction of specialized cardiac conduction system with antiarrhythmic drugs: A simulation study
Dux-Santoy, L. and Sebastian, R. and Felix-Rodriguez, J. and Ferrero, J.M. and Saiz, J.

IEEE Transactions on Biomedical Engineering, 2011, Vol. 58, No. 12 PART 2:5986696, PP. 3475-3478
DOI:10.1109/TBME.2011.2165213
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Construction of a computational anatomical model of the peripheral cardiac conduction system
Sebastian, R. and Zimmerman, V. and Romero, D. and Frangi, A.F.

IEEE Transactions on Biomedical Engineering, 2011, Vol. 58, No. 12 PART 2:6008630, PP. 3479-3482
DOI:10.1109/TBME.2011.2166553
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Workload balancing in distributed crowd simulations: The partitioning method
Vigueras, G. and Lozano, M. and Orduña, J.M.

Journal of Supercomputing, 2011, Vol. 58, No. 2:-, PP. 261-269
DOI:10.1007/s11227-009-0375-5
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A distributed visualization system for crowd simulations
Vigueras, G. and Orduña, J.M. and Lozano, M. and Chrysanthou, Y.

Integrated Computer-Aided Engineering, 2011, Vol. 18, No. 4:-, PP. 349-363
DOI:10.3233/ICA-2011-0381
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Inter-model consistency and complementarity: Learning from ex-vivo imaging and electrophysiological data towards an integrated understanding of cardiac physiology
Camara, O. and Sermesant, M. and Lamata, P. and Wang, L. and Pop, M. and Relan, J. and De Craene, M. and Delingette, H. and Liu, H. and Niederer, S. and Pashaei, A. and Plank, G. and Romero, D. and Sebastian, R. and Wong, K.C.L. and Zhang, H. and Ayache, N. and Frangi, A.F. and Shi, P. and Smith, N.P. and Wright, G.A.

Progress in Biophysics and Molecular Biology, 2011, Vol. 107, No. 1:-, PP. 122-133
DOI:10.1016/j.pbiomolbio.2011.07.007
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OpenCMISS: A multi-physics \& multi-scale computational infrastructure for the VPH/Physiome project
Bradley, C. and Bowery, A. and Britten, R. and Budelmann, V. and Camara, O. and Christie, R. and Cookson, A. and Frangi, A.F. and Gamage, T.B. and Heidlauf, T. and Krittian, S. and Ladd, D. and Little, C. and Mithraratne, K. and Nash, M. and Nickerson, D. and Nielsen, P. and Nordbø, T. and Omholt, S. and Pashaei, A. and Paterson, D. and Rajagopal, V. and Reeve, A. and Röhrle, O. and Safaei, S. and Sebastián, R. and Steghöfer, M. and Wu, T. and Yu, T. and Zhang, H. and Hunter, P.

Progress in Biophysics and Molecular Biology, 2011, Vol. 107, No. 1:-, PP. 32-47
DOI:10.1016/j.pbiomolbio.2011.06.015
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Fast multiscale modeling of cardiac electrophysiology including Purkinje system
Pashaei, A. and Romero, D. and Sebastian, R. and Camara, O. and Frangi, A.F.

IEEE Transactions on Biomedical Engineering, 2011, Vol. 58, No. 10 PART 2:5960780, PP. 2956-2960
DOI:10.1109/TBME.2011.2162841
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A J-MADeM agent-based social simulation to model urban mobility
Grimaldo, F. and Lozano, M. and Barber, F. and Guerra-Hernández, A.

Advances in Intelligent and Soft Computing, 2011, Vol. 88, No. -:-, PP. 1-11
DOI:10.1007/978-3-642-19875-5\_1
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Effect of scar development on fast electrophysiological models of the human heart: In-silico study on atlas-based virtual populations
Pashaei, A. and Hoogendoorn, C. and Sebastián, R. and Romero, D. and Cámara, O. and Frangi, A.F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, Vol. 6666 LNCS, No. -:-, PP. 427-436
DOI:10.1007/978-3-642-21028-0\_54
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Sensitivity analysis of mesh warping and subsampling strategies for generating large scale electrophysiological simulation data
Hoogendoorn, C. and Pashaei, A. and Sebastian, R. and Sukno, F.M. and Cámara, O. and Frangi, A.F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, Vol. 6666 LNCS, No. -:-, PP. 418-426
DOI:10.1007/978-3-642-21028-0\_53
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Towards high resolution computational models of the cardiac conduction system: A pipeline for characterization of Purkinje-ventricular-junctions
Romero, D. and Sachse, F.B. and Sebastian, R. and Frangi, A.F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, Vol. 6666 LNCS, No. -:-, PP. 28-35
DOI:10.1007/978-3-642-21028-0\_4
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New developments in simulation-based harbour crane training
García-Fernández, I. and Pla-Castells, M. and Gamón, M.A. and Martínez-Durá, R.J.

International Journal of Simulation and Process Modelling, 2011, Vol. 6, No. 4:-, PP. 274-287
DOI:10.1504/IJSPM.2011.048009
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J-MADeM, a market-based model for complex decision problems
Grimaldo, F. and Lozano, M. and Barber, F.

Logic Journal of the IGPL, 2011, Vol. 19, No. 2:-, PP. 333-342
DOI:10.1093/jigpal/jzq028
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Sociable behaviors in virtual worlds
Grimaldo, F. and Lozano, M. and Barber, F. and Orduña, J.M.

Security in Virtual Worlds, 3D Webs, and Immersive Environments: Models for Development, Interaction, and Management, 2010, Vol. -, No. -:-, PP. 123-139
DOI:10.4018/978-1-61520-891-3.ch007
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Comparison of phenomenological and biophysical cardiac models coupled with heterogenous structures for prediction of electrical activation sequence
Pashaei, A. and Romero, D. and Sebastian, R. and Camara, O. and Frangi, A.F.

Computing in Cardiology, 2010, Vol. 37, No. -:5738112, PP. 871-874
DOI:-
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A LabVIEW™ based multichannel recording architecture for high density electrical mapping
Liberos, A. and Guillem, M.S. and Millet, J. and Climent, A.M.

Computing in Cardiology, 2010, Vol. 37, No. -:5737979, PP. 341-344
DOI:-
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Flexible modeling for anatomically-based cardiac conduction system construction
Romero, D. and Zimmerman, V. and Sebastian, R. and Frangi, A.F.

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, 2010, Vol. -, No. -:5626476, PP. 779-782
DOI:10.1109/IEMBS.2010.5626476
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Tuning Java to run interactive multiagent simulations over Jason
Fernández-Bauset, V. and Grimaldo, F. and Lozano, M. and Orduña, J.M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, Vol. 6464 LNAI, No. -:-, PP. 354-363
DOI:10.1007/978-3-642-17432-2\_36
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Influence of geometric variations on LV activation times: A study on an atlas-based virtual population
Hoogendoorn, C. and Pashaei, A. and Sebastián, R. and Sukno, F.M. and Cámara, O. and Frangi, A.F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, Vol. 6364 LNCS, No. -:-, PP. 242-251
DOI:10.1007/978-3-642-15835-3\_25
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Modeling drug effects on personalized 3D models of the heart: A simulation study
Sebastian, R. and Heidenreich, E. and Dux-Santoy, L. and Rodriguez, J.F. and Ferrero, J.M. and Saiz, J.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, Vol. 6364 LNCS, No. -:-, PP. 222-231
DOI:10.1007/978-3-642-15835-3\_23
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Personalization of fast conduction Purkinje system in Eikonal-based electrophysiological models with optical mapping data
Camara, O. and Pashaei, A. and Sebastian, R. and Frangi, A.F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, Vol. 6364 LNCS, No. -:-, PP. 281-290
DOI:10.1007/978-3-642-15835-3\_29
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Atlas construction and image analysis using statistical cardiac models
De Craene, M. and Sukno, F.M. and Tobon-Gomez, C. and Butakoff, C. and Figueras I Ventura, R.M. and Hoogendoorn, C. and Piella, G. and Duchateau, N. and Muñoz-Moreno, E. and Sebastian, R. and Camara, O. and Frangi, A.F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, Vol. 6364 LNCS, No. -:-, PP. 1-13
DOI:10.1007/978-3-642-15835-3\_1
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Evaluating Jason for distributed crowd simulations
Fernández, V. and Grimaldo, F. and Lozano, M. and Orduña, J.M.

ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings, 2010, Vol. 2, No. -:-, PP. 206-211
DOI:-
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A reinforcement learning approach for multiagent navigation
Martinez-Gil, F. and Barber, F. and Lozano, M. and Grimaldo, F. and Fernandez, F.

ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings, 2010, Vol. 1, No. -:-, PP. 607-610
DOI:-
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Deciphering subcellular processes in live imaging datasets via dynamic probabilistic networks
Letinic, K. and Sebastian, R. and Barthel, A. and Toomre, D.

Bioinformatics, 2010, Vol. 26, No. 16:btq331, PP. 2029-2036
DOI:10.1093/bioinformatics/btq331
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Effects of the purkinje system and cardiac geometry on biventricular pacing: A model study
Romero, D. and Sebastian, R. and Bijnens, B.H. and Zimmerman, V. and Boyle, P.M. and Vigmond, E.J. and Frangi, A.F.

Annals of Biomedical Engineering, 2010, Vol. 38, No. 4:-, PP. 1388-1398
DOI:10.1007/s10439-010-9926-4
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A GPU-based multi-agent system for real-time simulations
Vigueras, G. and Orduña, J.M. and Lozano, M.

Advances in Intelligent and Soft Computing, 2010, Vol. 70, No. -:-, PP. 15-24
DOI:10.1007/978-3-642-12384-9\_3
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Building of a motion feedback roller coaster simulator. A case study
Expósito-Sánchez, M.A. and García-Fernández, I. and Gamón-Giménez, M.A. and Pla-Castells, M. and Martínez-Durá, R.J.

8th International Industrial Simulation Conference 2010, ISC 2010, 2010, Vol. -, No. -:-, PP. 131-138
DOI:-
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Modelling and simulation of several interacting Cellular Automata
Pla-Castells, M. and García-Fernández, I. and Martínez-Durá, R.J.

8th International Industrial Simulation Conference 2010, ISC 2010, 2010, Vol. -, No. -:-, PP. 139-146
DOI:-
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A comparative study of partitioning methods for crowd simulations
Vigueras, G. and Lozano, M. and Orduña, J.M. and Grimaldo, F.

Applied Soft Computing Journal, 2010, Vol. 10, No. 1:-, PP. 225-235
DOI:10.1016/j.asoc.2009.07.004
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Modeling the Purkinje conduction system with a non deterministic rule based iterative method
Zimmerman, V. and Sebastian, R. and Bijnens, B.H. and Frangi, A.F.

Computers in Cardiology, 2009, Vol. 36, No. -:5445371, PP. 461-464
DOI:-
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A mesh-less approach for fast estimation of electrical activation time in the ventricular wall
Pashaei, A. and Sebastian, R. and Zimmerman, V. and Bijnens, B.H. and Frangi, A.F.

Computers in Cardiology, 2009, Vol. 36, No. -:5445432, PP. 209-212
DOI:-
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Cardiac motion estimation from intracardiac electrical mapping data: Identifying a septal flash in heart failure
Camara, O. and Oeltze, S. and De Craene, M. and Sebastian, R. and Silva, E. and Tamborero, D. and Mont, L. and Sitges, M. and Bijnens, B.H. and Frangi, A.F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009, Vol. 5528, No. -:-, PP. 21-29
DOI:10.1007/978-3-642-01932-6\_3
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The purkinje system and cardiac geometry: Assessing their influence on the paced heart
Romero, D. and Sebastian, R. and Bijnens, B.H. and Zimmerman, V. and Boyle, P.M. and Vigmond, E.J. and Frangi, A.F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009, Vol. 5528, No. -:-, PP. 68-77
DOI:10.1007/978-3-642-01932-6\_8
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GIMIAS: An open source framework for efficient development of research tools and clinical prototypes
Larrabide, I. and Omedas, P. and Martelli, Y. and Planes, X. and Nieber, M. and Moya, J.A. and Butakoff, C. and Sebastián, R. and Camara, O. and De Craene, M. and Bijnens, B.H. and Frangi, A.F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009, Vol. 5528, No. -:-, PP. 417-426
DOI:10.1007/978-3-642-01932-6\_45
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Exocyst is involved in polarized cell migration and cerebral cortical development
Letinic, K. and Sebastian, R. and Toomre, D. and Rakic, P.

Proceedings of the National Academy of Sciences of the United States of America, 2009, Vol. 106, No. 27:-, PP. 11342-11347
DOI:10.1073/pnas.0904244106
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A new system architecture for crowd simulation
Lozano, M. and Morillo, P. and Orduña, J.M. and Cavero, V. and Vigueras, G.

Journal of Network and Computer Applications, 2009, Vol. 32, No. 2:-, PP. 474-482
DOI:10.1016/j.jnca.2008.02.011
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Virtual reality simulator for the training of tower crane operators [Simulador de realidad virtual para la formación de operadores de grúa Torre]
Gamón-Giménez, M.A. and Pla-Castells, M. and García-Fernández, I. and Reyes-Lacueva, A. and Martínez-Durá, R.J.

19th Spanish Computer Graphics Conference, CEIG 2009, 2009, Vol. -, No. -:-, PP. 37-46
DOI:10.2312/LocalChapterEvents/CEIG/CEIG09/037-046
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Interactive earthmoving simulation in real-time
Pla-Castells, M. and García-Fernández, I. and Gamón, M.A. and Martínez-Durá, R.J.

19th Spanish Computer Graphics Conference, CEIG 2009, 2009, Vol. -, No. -:-, PP. 235-238
DOI:10.2312/LocalChapterEvents/CEIG/CEIG09/235-238
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UVSIM: A harbor cranes training system
García-Fernández, I. and Pla-Castells, M. and Gamón, M.A. and Martínez-Durá, R.J.

International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2009, Held at the International Mediterranean and Latin American Modeling Multiconference, I3M 2009, 2009, Vol. -, No. -:-, PP. 67-76
DOI:-
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UVSIM: A harbor cranes training system
García-Fernández, I. and Pla-Castells, M. and Gamón, M.A. and Martínez-Durá, R.J.

International Conference on Harbour, Maritime and Multimodal Logistics Modelling and Simulation, 2009, Vol. 1, No. -:-, PP. 67-76
DOI:-
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Cardiac modelling for pathophysiology research and clinical applications. The need for an automated pipeline
Sebastian, R. and Zimmerman, V. and Sukno, F. and Bijnens, B.B. and Frangi, A.F.

IFMBE Proceedings, 2009, Vol. 25, No. 4:-, PP. 2207-2210
DOI:10.1007/978-3-642-03882-2\_586
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J-MADeM, an open-source library for social decision-making
Grimaldo, F. and Lozano, M. and Barber, F.

Frontiers in Artificial Intelligence and Applications, 2009, Vol. 202, No. 1:-, PP. 207-214
DOI:10.3233/978-1-60750-061-2-207
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Simulating socially intelligent agents in semantic virtual environments
Grimaldo, F. and Lozano, M. and Barber, F. and Vigueras, G.

Knowledge Engineering Review, 2008, Vol. 23, No. 4:-, PP. 369-388
DOI:10.1017/S026988890800009X
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Agent's actions as a classification criteria for the state space in a learning from rewards system
Martinez-Gil, F.

Journal of Experimental and Theoretical Artificial Intelligence, 2008, Vol. 20, No. 4:-, PP. 269-276
DOI:10.1080/09528130701538190
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A scalable architecture for crowd simulation: Implementing a parallel action server
Vigueras, G. and Lozano, M. and Pérez, C. and Orduña, J.M.

Proceedings of the International Conference on Parallel Processing, 2008, Vol. -, No. -:4625878, PP. 430-437
DOI:10.1109/ICPP.2008.20
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Improving the performance of partitioning methods for crowd simulations
Vigueras, G. and Lozano, M. and Orduña, J.M. and Grimaldo, F.

Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008, 2008, Vol. -, No. -:4626613, PP. 102-107
DOI:10.1109/HIS.2008.31
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Measuring spatiotemporal dependencies in bivariate temporal random sets with applications to cell biology
Díaz, E. and Sebastian, R. and Ayala, G. and Díaz, M.E. and Zoncu, R. and Toomre, D. and Gasman, S.

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, Vol. 30, No. 9:-, PP. 1659-1671
DOI:10.1109/TPAMI.2007.70821
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Elevation cable modeling for interactive simulation of cranes
García-Fernández, I. and Pla-Castells, M. and Martínez-Durá, R.J.

Computer Animation 2008 - ACM SIGGRAPH / Eurographics Symposium, SCA 2008 - Proceedings, 2008, Vol. -, No. -:-, PP. 173-181
DOI:-
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Modeling the influence of the VV delay for CRT on the electrical activation patterns in absence of conduction through the AV node
Romero, D.A. and Sebastián, R. and Plank, G. and Vigmond, E.J. and Frangi, A.F.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2008, Vol. 6918, No. -:69182G, PP. -
DOI:10.1117/12.770316
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Assessing influence of conductivity in heart modelling with the aim of studying cardiovascular diseases
Sebastian, R. and Ordas, S. and Plank, G. and Rodriguez, B. and Vigmond, E.J. and Frangi, A.F.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2008, Vol. 6916, No. -:691627, PP. -
DOI:10.1117/12.770258
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Analysis of a Cable Model, Considering Mass and Wave Oscillations
García-Fernández, I. and Pla-Castells, M. and Martínez-Durá, R.J.

AIP Conference Proceedings, 2008, Vol. 1060, No. -:-, PP. 170-173
DOI:10.1063/1.3037045
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MADeM: A multi-modal decision making for social MAS
Grimaldo, F. and Lozano, M. and Barber, F.

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2008, Vol. 1, No. -:-, PP. 182-189
DOI:-
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Coordination and sociability for intelligent virtual agents
Grimaldo, F. and Lozano, M. and Barber, F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, Vol. 4870 LNAI, No. -:-, PP. 58-70
DOI:10.1007/978-3-540-79003-7\_5
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A multiagent framework to animate socially intelligent agents
Grimaldo, F. and Lozano, M. and Barber, F.

Advances in Soft Computing, 2007, Vol. 44, No. -:-, PP. 17-24
DOI:10.1007/978-3-540-74972-1\_4
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Fuzzy temporal random sets with an application to cell biology
León, T. and Sebastian, R. and Ayala, G. and Díaz, M.E. and Zoncu, R. and Toomre, D.

IEEE International Conference on Fuzzy Systems, 2007, Vol. -, No. -:4295484, PP. -
DOI:10.1109/FUZZY.2007.4295484
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Computational anatomy atlas of the heart
Ordas, S. and Oubel, E. and Sebastian, R. and Frangi, A.F.

ISPA 2007 - Proceedings of the 5th International Symposium on Image and Signal Processing and Analysis, 2007, Vol. -, No. -:4383715, PP. 338-342
DOI:10.1109/ISPA.2007.4383715
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Animating groups of socially intelligent agents
Grimaldo, F. and Lozano, M. and Barber, F. and Vigueras, G.

Proceedings - 2007 International Conference on Cyberworlds, CW'07, 2007, Vol. -, No. -:4390913, PP. 136-143
DOI:10.1109/CW.2007.15
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Estimating the duration of endocytic events
Sebastian, R. and Ayala, G. and Diaz, M.E. and Zoncu, R. and Toomre, D.

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, 2007, Vol. -, No. -:4193269, PP. 248-251
DOI:10.1109/ISBI.2007.356835
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A mixed model for real-time, interactive simulation of a cable passing through several pulleys
García-Fernández, I. and Pla-Castells, M. and Martínez-Durá, R.J.

AIP Conference Proceedings, 2007, Vol. 936, No. -:-, PP. 212-215
DOI:10.1063/1.2790111
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On the design of an efficient architecture for supporting large crowds of autonomous agents
Lozano, M. and Morillo, P. and Orduña, J.M. and Cavero, V.

Proceedings - International Conference on Advanced Information Networking and Applications, AINA, 2007, Vol. -, No. -:4220962, PP. 716-723
DOI:10.1109/AINA.2007.101
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A genetic approach for distributing semantic databases of crowd simulations
Lozano, M. and Orduña, J.M. and Cavero, V.

Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM, 2007, Vol. -, No. -:4228155, PP. -
DOI:10.1109/IPDPS.2007.370427
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Loss of endocytic clathrin-coated pits upon acute depletion of phosphatidylinositol 4,5-bisphosphate
Zoncu, R. and Perera, R.M. and Sebastian, R. and Nakatsu, F. and Chen, H. and Balla, T. and Ayala, G. and Toomre, D. and De Camilli, P.V.

Proceedings of the National Academy of Sciences of the United States of America, 2007, Vol. 104, No. 10:-, PP. 3793-3798
DOI:10.1073/pnas.0611733104
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Granulometric analysis of corneal endothelium specular images by using a germ-grain model
Díaz, M.E. and Ayala, G. and Sebastian, R. and Martínez-Costa, L.

Computers in Biology and Medicine, 2007, Vol. 37, No. 3:-, PP. 364-375
DOI:10.1016/j.compbiomed.2006.04.005
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A discrete model for the dynamics of sandpile surfaces
García-Fernández, I. and Pla-Castells, M. and Martínez-Durá, R.J.

5th International Industrial Simulation Conference 2007, ISC 2007, 2007, Vol. -, No. -:-, PP. 64-68
DOI:-
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A distributed framework for scalable large-scale crowd simulation
Lozano, M. and Morillo, P. and Lewis, D. and Reiners, D. and Cruz-Neira, C.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007, Vol. 4563 LNCS, No. -:-, PP. 111-121
DOI:10.1007/978-3-540-73335-5\_13
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Social animation in complex environments
Grimaldo, F. and Lozano, M. and Barber, F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007, Vol. 4722 LNCS, No. -:-, PP. 379-380
DOI:10.1007/978-3-540-74997-4\_48
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Analysis of spatial dependencies of endocytic proteins based on temporal random sets
Sebastian, R. and Diaz, M.E. and Ayala, G. and Zoncu, R. and Toomre, D.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2006, Vol. -, No. -:4029632, PP. 4175-4178
DOI:10.1109/IEMBS.2006.260479
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Analysis of spatially and temporally overlapping events with application to image sequences
Ayala, G. and Sebastian, R. and Díaz, M.E. and Díaz, E. and Zoncu, R. and Toomre, D.

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, Vol. 28, No. 10:-, PP. 1707-1712
DOI:10.1109/TPAMI.2006.199
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Studying endocytosis in space and time by means of temporal Boolean models
Sebastian, R. and Díaz, E. and Ayala, G. and Díaz, M.E. and Zoncu, R. and Toomre, D.

Pattern Recognition, 2006, Vol. 39, No. 11:-, PP. 2175-2185
DOI:10.1016/j.patcog.2006.04.030
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Interactive terrain simulation and force distribution models in Sand Piles
Pla-Castells, M. and García-Fernández, I. and Martínez, R.J.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, Vol. 4173 LNCS, No. -:-, PP. 392-401
DOI:10.1007/11861201\_46
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Spatio-temporal analysis of constitutive exocytosis in epithelial cells
Sebastian, R. and Diaz, M.-E. and Ayala, G. and Letinic, K. and Moncho-Bogani, J. and Toomre, D.

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2006, Vol. 3, No. 1:-, PP. 17-32
DOI:10.1109/TCBB.2006.11
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Integrating social skills in task-oriented 3D IVA
Grimaldo, F. and Lozano, M. and Barber, F. and Orduña, J.M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2005, Vol. 3661 LNAI, No. -:-, PP. 358-370
DOI:10.1007/11550617\_30
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Virtual classic and intelligent three dimensional environments: Toward a new framework of simulation for three dimensional graphical interactive applications [Entornos virtuales 3D clásicos e inteligentes: Hacia un nuevo marco de simulación para aplicaciones gráficas 3D interactivas]
Lozano, M. and Calderón, C.

Inteligencia Artificial, 2004, Vol. 8, No. 23:-, PP. 85-94+3
DOI:-
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Crane collision modelling using a neural network approach
García-Fernández, I. and Martín-Guerrero, J.D. and Pla-Castells, M. and Soria-Olivas, E. and Martínez-Durá, R.J. and Muñoz-Marí, J.

Expert Systems with Applications, 2004, Vol. 27, No. 3:-, PP. 341-348
DOI:10.1016/j.eswa.2004.05.002
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Integrating miniMin-HSP agents in a dynamic simulation framework
Lozano, M. and Grimaldo, F. and Barber, F.

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2004, Vol. 3025, No. -:-, PP. 535-544
DOI:10.1007/978-3-540-24674-9\_56
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Approximation of continuous media models for granular systems using cellular automata
Pla-Castells, M. and García, I. and Martínez, R.J.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, Vol. 3305, No. -:-, PP. 230-237
DOI:10.1007/978-3-540-30479-1\_24
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An efficient synthetic vision system for 3D multi-character systems
Lozano, M. and Lucia, R. and Barber, F. and Grimaldo, F. and Lucas, A. and Fernes, A.

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2003, Vol. 2792, No. -:-, PP. 356-357
DOI:10.1007/978-3-540-39396-2\_60
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Towards reactive navigation and attention skills for 3D intelligent characters
Lozano, M. and Grimaldo, F. and Villaplana, J.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2003, Vol. 2687, No. -:-, PP. 209-216
DOI:10.1007/3-540-44869-1\_27
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A neural network approach for real-time collision detection
García, I. and Martín-Guerrero, J.D. and Soria-Olivas, E. and Martínez, R.J. and Rueda, S. and Magdalena, R.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2002, Vol. 5, No. -:-, PP. 301-305
DOI:-
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Adding synthetic detail to natural terrain using a wavelet approach
Perez, M. and Fernandez, M. and Lozano, M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2002, Vol. 2330 LNCS, No. PART 2:-, PP. 22-31
DOI:10.1007/3-540-46080-2\_3
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A neural approach to an attentive navigation for 3D intelligent virtual agents
Lozano, M. and Molina, J.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2002, Vol. 6, No. -:-, PP. 109-113
DOI:-
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