Conferences
[63] Romitti G.S., Liberos A., Termenón-Rivas M., Barrios-Alvarez J., Romero P., Serra D., García I., Lozano M., Sebastian R., Rodrigo M. Evaluation of Automata-based Simulations for Atrial Fibrillation in 2D/3D Geometries Reproducing Disease Progression. Computing in Cardiology Conference, Vol. 38, Atlanta, USA, 1-4 October, 2023. [PDF]
[62] Barrios-Alvarez J., Termenón-Rivas M., Romitti G.S., Sebastian R., Liberos A., Rodrigo M. Role of Fiber Orientation and Ionic Heterogeneities to Simulate Chronic Atrial Arrhythmias. Computing in Cardiology Conference, Vol. 38, Atlanta, USA, 1-4 October, 2023. [PDF]
[61 ]Bocanegra A., Penela D., Sebastian R., Jimenez-Perez G., Falasconi G., Saglietto A., Soto-Iglesias D., Berruezo A., Piella G., Camara O. Automatic Prediction of the Origin in Outflow Tract Ventricular Arrhythmias with Machine Learning Combining Clinical Data and Electrocardiogram Analysis. Computing in Cardiology Conference, Vol. 38, Atlanta, USA, 1-4 October, 2023. [PDF]
[60] Liberos A., Garcia-Gimeno X., Romitti G., Garcia-Fernandez I. Lozano M., Sebastian R., Rodrigo M. Role of Heterogeneous Ionic Profiles in Atrial Fibrillation Propagation. A Population of Models Study. Computing in Cardiology Conference, Vol. 38, Atlanta, USA, 1-4 October, 2023. [PDF]
[59] Termenón-Rivas M., Barrios-Alvarez J., Romitti G., Romero P., Serra D., Garcia-Fernandez I., Lozano M., Sebastian R., Liberos A., Rodrigo M., Substrate-Specific Simulations of Atrial Fibrillation Reproducing Electrophysiological Clinical Markers. Computing in Cardiology Conference, Vol. 38, Atlanta, USA, 1-4 October, 2023. [PDF]
[58] G. S. Romitti, A. Liberos, P. Romero, D. Serra, I. García, M. Lozano, R. Sebastian, M. Rodrigo. Cellular Automata for Fast Simulations of Arrhythmogenic Atrial Substrate. 12th International Conference on Functional Imaging and Modeling of the Heart (FIMH), Lyon, France, 19-22 June, 2023. [PDF]
[57] Romitti G., Liberos A., Romero P., Serra D., García I., Lozano M., Sebastian R., Rodrigo M. Characterization of the Electrophysiological Characteristics of Chronic Atrial Fibrillation for Efficient Simulations. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney, Australia, 24-28 July, 2023. [PDF]
[56] Serra D., Franco P., Romero P., Romitti, G., Garcia-Fernandez I, Lozano M., Liberos A., Penela D., Berruezo A., Camara O., Rodrigo M., Sebastian R. Assessment of Risk for Ventricular Tachycardia based on Extensive Electrophysiology Simulations. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney, Australia, 24-28 July, 2023. [PDF]
[55] G. S. Romitti, A. Liberos, P. Romero, D. Serra, I. Garcia Fernandez, M. Lozano, R. Sebastian, M. Rodrigo Simulación de la actividad electrofisiologica auricular mediante automata celular. XL Congreso Anual de la Sociedad Española de Ingenieria Biomedica (CASEIB), Valladolid, Spain, 23-25 Noviembre, 2022. [PDF]
[54] Romero P., Lozano M., Romitti G., Serra D., Garcia-Fernandez I., Liberos A., Rodrigo M., Sebastian R. Machine Learning Based Cell Model for fast approximation of cellular action potential to enable clinical translation. Computing in Cardiology Conference, Vol. 37, Tampere, Finland, 4-7 September, 2022. [PDF]
[53] Romitti G., Romero P., Liberos A., Serra D., Garcia-Fernandez I., Lozano M., Sebastian R., Rodrigo M. Effects of Long- and Short-term Memory on Action Potential Duration for Atrial Cellular Automata . Computing in Cardiology Conference, Vol. 37, Tampere, Finland, 4-7 September, 2022. [PDF]
[52] Camps J., Sebastian R., Berg L., Wang Z.J., Zhou X., Trovato C., Riebel L., Coleman J., Sachetto R., Lawson B., Grau V., Burrage K., Bueno-Orovio A., Weber R., Rodriguez B. Inference of Purkinje structure and ventricular conduction properties from clinical 12-lead electrocardiograms. Computing in Cardiology Conference, Vol. 37, Tampere, Finland, 4-7 September, 2022. [PDF]
[51] Rodrigo M., Rogers A.J., Ganesan P., Alhusseini M.I., Liberos A., Sebastian R., Narayan S.M. Electrogram Signatures of Atrial Fibrillation identified by Deep Learning. Computing in Cardiology Conference, Vol. 36, Brno, Czech Republic, 12-15 September, 2021. [PDF]
[50] Rodrigo M., Rogers A.J., Ganesan P., Alhusseini M.I., Liberos A., Sebastian R., Narayan S.M. Accuracy of Classic Features versus Deep Learning to Detect Atrial Fibrillation on Intracardiac Electrograms Computing in Cardiology Conference, Vol. 36, Brno, Czech Republic, 12-15 September, 2021. [PDF]
[49] Doste R., Lozano M., Gomez J.F., Alcaine A., Mont L., Berruezo A., Camara O., Sebastian R. Machine Learning Models Trained with Simulations Predict the Site of Origin of Outflow Tract Ventricular Arrhythmias from Multi-centric Databases Computing in Cardiology Conference, Vol. 36, Brno, Czech Republic, 12-15 September, 2021. [PDF]
[48] Barber F., Langfield P., Lozano M., Garcia-Fernandez I., Duchateau J., Meleze H., Haissaguerre M., Vigmond E. Sebastian R. Personalization of Ventricular Cardiac Conduction System Models to Reproduce Patient Electrocardiogram Computing in Cardiology Conference, Vol. 36, Brno, Czech Republic, 12-15 September, 2021. [PDF]
[47] Serra D., Romero P., Lozano M., Garcia-Fernandez I., Liberos A., Rodrigo M., Berruezo A., Bueno-Orovio A., Sebastian R. Arrhythmic3D: A Fast Automata-based Tool to Simulate and Assess Arrhythmia Risk in 3D Ventricular Models Computing in Cardiology Conference, Vol. 36, Brno, Czech Republic, 12-15 September, 2021. [PDF]
[46] Trovato C., Passini E., Tomek J., Sebastian R., Rodriguez B. Development and coupling of two novel human in silico ventricular and Purkinje models for investigation of pro-arrhythmia mechanisms across the Purkinje-Myocardial junction. Cardiac Physiome, Maastricht, 4-6 December, 2019. [PDF]
[45] Gomez-Torres F.A., Sebastian R., Ruíz-Sauri A. Histological and morphometric structure of the sinus and atrioventricular nodes in humans and pigs. XX Congreso de la Sociedad Española de Histología e Ingeniería Tisular, Vol. 46, Suppl. 1, Murcia, 8-11 September, 2019. [PDF]
[44] Doste R., Lozano M., Gomez J.F., Alcaine A., Mont L., Berruezo A., Camara O., Sebastian R. Predicting the Origin of Outflow Tract Ventricular Arrhythmias Using Machine Learning Techniques Trained with Patient-Specific Electrophysiological Simulations. Computing in Cardiology Conference, Vol. 34, Singapore, 8-11 September, 2019. [PDF]
[43] Barber F., Romero P., Langfield P., Lozano M., García-Fernández I., Duchateua J., Hocini M., Haissaguerre M., Vigmond E.,, Sebastian R. Estimation of a Compatible Cardiac Conduction System From Discrete Endocardial Time Samples. Proceedings Computational and Mathematical Biomedical Engineering, pp. 244-247. Sendai, Japan, 10-12 June, 2019. [PDF]
[42] Romero P., Santos S., Sebastian R., Martinez-Gil F., Serra D., Calvillo P., Rodriguez A., Maldonado-Puig R., Marti-Bonmati L., Alberich-Bayarri A., Lozano M., Garcia-fernandez I. Reconstruction of the Aorta Geometry using Canal Surfaces. Proceedings Computational and Mathematical Biomedical Engineering, pp. 801-804. Sendai, Japan, 10-12 June, 2019. [PDF]
[41] Godoy E., Lozano M., Garcia-Fernandez I., Sebastian R. . Combining Biophysical Modeling and Machine Learning to predict location of atrial Ectopic Triggers. Computing in Cardiology Conference, Vol. 45, Maastricht, 23-26 September, 2018. doi: 10.22489/CinC.2018.069. [PDF]
[40] Godoy E., Ferrer-Albero A., Lozano M., Garcia-Fernandez I., MacLeod R., Saiz J., Sebastian R. Effect of fibrosis on BSPM of patients with focal atrial tachycardia. Virtual Physiological Human Conference (VPH2018). Zaragoza, 5-7 September, 2018.[PDF]
[39] Gil D., Aris R., Borras A., Sebastian R., Vazquez M. Influence of Fiber Connectivity in Simulations of Cardiac BioMechanics. 32th Computer Assisted Radiology and Surgery (CARS) Conference. Berlin, 20-23 June, 2018.[PDF]
[38] Doste R., Soto-Iglesias D., Bernardino G., Sebastian R., Sermesant M., Berruezo A., Sanchez-Quintana D., Camara O.. Non-invasive virtual prediction of site of origin in outflow tract ventricular arrhythmias with a patient-specific computational model. European Society of Cardiology Conference. Barcelona, 5-8 October, 2017. Proc. European Heart Journal, Vol. 38. issue. Suppl. 1, pag. 14. https://doi.org/10.1093/eurheartj/ehx501.87 [PDF]
[37] Godoy E., Lozano M., Ferrer A., Garcia-Fernadez I., Saiz J., Sebastian R.. A Machine Learning Pipeline for detection of Atrial Ectopic Focus Location in Patients with different Densities of Left Atrial Fibrosis. Atrial Sgnals Conference. Valencia, 5-8 October, 2017.[PDF]
[36] Ruiz-Sauri A., Garcia-Bustos V., Izquierdo M., Molina P., Chorro FJ., Rios C., Bodí V., Sebastian R. Histologic, Morphometric and Immunohistochemistry Study of the Conduction System of the Heart in Pigs. VII Internacional Congress of Histology and Tissue Engineering. P-HP 75, Santiago de Compostela, 5-8 Septiembre, 2017.[PDF]
[35] F. Barber, M. Lozano, I. Garcia-Fernandez, R. Sebastian. Estimation of Location and Activation Time of Purkinje Myocardial Junctions from Sparse and Noisy Endocardial Electrical Samples. Computing in Cardiology, Vol. 44, pp. 1-4. Rennes, France, 2017.[PDF]
[34] E. Godoy , M. Lozano , A. Ferrer, J. Saiz, R. Sebastian. Optimal Surface ECG Electrode Set For Prediction of Atrial Ectopic Foci Region. 5th International Conference on Computational and Mathematical Biomedical Engineering - CMBE2017, 10–12 April 2017, USA. Vol 1. pp. 206-209, 2017. [PDF]
[33] A. Ferrer, R. Sebastian, E.J. Godoy, J. Saiz. Analysis of in-silico Body Surface Maps show important differences depending on the connections between Coronary sinus and Left atria. Computing in Cardiology, Vol. 43, pp. 745-748. Vancouver, Canada, 2016.[PDF]
[32] F. Barber, M. Lozano, I. Garcia-Fernandez, R. Sebastian. Automatic location of sources of electrical activation from electrophysiology maps. Computing in Cardiology, Vol. 43, pp. 445-448. Vancouver, Canada, 2016.[PDF]
[31] F. Barber, M. Lozano, I. Garcia-Fernandez, R. Sebastian. Inverse estimation of terminal connections in the cardiac conduction system. Proceedings of the 16th International Conference on Computational and Mathematical Methods in Science and Engineering, (CMMSE), Cadiz, Spain. 2016.
[30] M. Guardiola, A. Pashaei, R. Sebastian, A. López, J. Acosta, D. Andreu, A. Berruezo, O. Camara. Computational electrophysiology for prediction of the outflow tract origin in idiopathic ventricular tachycardia. Cardiac Physiome, Auckland, New Zealand, 2015.
[29] K. Cardona, J.F. Gomez, O. Camara, B. Trenor, R. Sebastian. In-silico Analysis of Influence of Fibroblasts in the Generation of Late-Potentials in Conducting Channels. Cardiac Physiome, Auckland, New Zealand, 2015.
[28] A. Lopez-Perez, R. Sebastian, J.M. Ferrero, D. Andreu, A. Berruezo. Methods for image-based three-dimensional reconstruction of infarct-derived scars to locate conducting channels as radiofrequency ablation targets. European Society of Cardiology Congress (ESC), Barcelona, Spain, 2014.
[27] A. Pashaei, R. Sebastian, A. Lopez-Perez, D. Soto-Iglesias, J. M. Ferrero, D. Andreu, J. Acosta, J. Fernández-Armenta, A. Berruezo, O. Camara. Determining the origin of the ectopic beat in idiopathic ventricular arrhythmias with a computational model. European Society of Cardiology Congress (ESC), Barcelona, Spain, 2014.
[26] R. Cardenes, R. Sebastian, A. Berruezo, O. Camara. Inverse estimation of ventricular Purkinje tree pathways from sequences of depolarization. Computing in Cardiology, Boston, USA. IEEE Pulbications Vol. 41, pp. 677-680 2014.
[25] A. Ferrer, R. Sebastian, J.F. Rodriguez, C. Tobon, M. Guillem, EJ. Godoy, J. Saiz. Computational Simulation and Analysis of 3D Body Surface Potential Patterns Generated by Common Atrial Arrhythmias. Computing in Cardiology, Zaragoza, Spain. IEEE Publications Vol. 40 pp. 919-922. 2013.
[24] L. Dux-Santoy, R. Sebastian, J.F. Rodriguez, JM Ferrero. Modeling the Different Sections of the Cardiac Conduction System to Obtain Realistic Electrocardiograms. 35th Conference of IEEE Engineering in Medicine and Biology (EMBC), Osaka, Japan. June 2013.
[23] A. Pashaei, H. Fernandez, R. Sebastian, A.F. Frangi. A computer framework for visualization of cardiac acceleration based on medical images . SPIE Medical Imaging, Florida, USA. February 2013.
[22] A. Ferrer, R. Sebastian, J.F. Rodriguez, C. Tobon, J. Saiz. Modeling of Human Torso for the Study and Characterization of Atrial Arrhythmias. Cardiac Physiome, San Diego, USA. December 2012.
[21] L Dux-Santoy, JF Rodríguez, R. Sebastian, J. Saiz, JM Ferrero,. Biophysical modelling of Bundle Branch Reentry initiation and maintenance. Computing in Cardiology, IEEE Publications, Vol. 39, pp. 222-224, Krakovia, 2012.
[20] L Dux-Santoy, R. Sebastian, E. Heidenreich, JF Rodríguez, JM Ferrero, J. Saiz. Estudio de simulación del efecto del dofetilide en un modelo 3D del corazón humano. CASEIB, Madrid, Spain November, 2010.
[19] D Romero, V Zimmerman, R Sebastian and AF Frangi. Flexible Modeling for Anatomically-Based Cardiac Conduction System. IEEE Annual International Conference on Engineering in Medicine and Biology Conference (EMBS), Buenos Aires, Argentina 2010.
[18] A Pashaei, D Romero, R Sebastian, O Camara, AF. Frangi. Comparison of phenomenological and biophysical cardiac models coupled with heterogenous structures for prediction of electrical activation sequence. Computing in Cardiology, Belfast. IEEE Publications, Vol. 37, pp. 871-874, 2010.
[17] O. Camara, B. H. Bijnens, E. Silva, D. Andreu, S. Oeltze, D. Romero, M. De Craene, D. Tamborero, R. Sebastian, L. Mont, M. Sitges A. F. Frangi. Dyssynchrony indices from an electrophysiological contact mapping system predict response to CRT. MICCAI, London, UK 2009. [PDF]
[16] A Pashaei, R Sebastian, V Zimmerman, BB Bijnens, AF Frangi. A Mesh-less Approach for Fast Estimation of Electrical Activation Time in Ventricular Wall. Computers in cardiology, Utah, USA, 2009. [PDF]
[15] V. Zimmerman, R Sebastian, BH Bijnens, AF Frangi. Modeling the Purkinje conduction system with a non deterministic rule based iterative method. Computers in cardiology, Utah, USA, 2009.
[14] R. Sebastian. The Role of the myocardial Fiber Orientation in Homogenizing Transmural electrical Activation. European Society of Cardiology Congress (ESC), Barcelona, Spain, 2009.
[13] O. Camara, B. H. Bijnens, E. Silva, D. Andreu, S. Oeltze, D. Romero, M. De Craene, D. Tamborero, R. Sebastian, L. Mont, M. Sitges, AF. Frangi. Detecting abnormal septal motion by combining spatial and electrical information from endocardial mapping. European Society of Cardiology Congress (ESC), Barcelona, Spain, 2009.
[12] R. Sebastian, D. Romero, V. Zimmerman, E. Vigmond, B.H. Bijnens, A.F. Frangi. Detailed cardiac electromechanical modeling and simulation. From medical images to simulation. Euroecho, 12th Annual Meeting of the European Society of Cardiology. Lyon, France, December, 2008.
[11] Bijnens B. , Sebastian R., Romero D., and Frangi A.F, Anatomo-functional model suitable for Cardiac Resynchronization therapy. 4th European Congress for Medical and Biomedical Engineering, Antwerp, November 23-27, 2008.
[10] B. Bijnens, C. Parsai, R. Sebastian, L. Anderson, A. Frangi, G.R. Sutherland. An integrated, model based, approach for the quantification of cardiac function based on cardiac imaging and knowledge of cardiac physiology and applied to cardiac resynchronisation therapy. Workshop on Multi-scale Modelling of the Heart. MSMH. Auckland, New Zealand, March 2008.
[9] R. Sebastian, S.Ordas, G.Plank, B. Rodriguez, E. J.Vigmond, A.F. Frangi. Sensitivity study in a 3D human ventricular FEM cardiac model for electrical simulation. Workshop on Multi-scale Modelling of the Heart. MSMH. Auckland, New Zealand, March 2008.
[8] S. Ordas, E, Oubel , R. Sebastian, Frangi, AF. Computational Atlas of the Heart. I5th International Symposium on Image and Signal Processing and Analysis. Istambul, Turkey. 2007
[7] R T. Leon, R. Sebastian, G. Ayala, E. Diaz and R. Zoncu. Fuzzy temporal random sets with an application to cell biology. IEEE International Conference on Fuzzy Systems, FUZZ-IEEE. ISBN: 1-4244-1210-2. Londres.(UK), July, 2007.
[6] R. Sebastian, G. Ayala, M.E. Diaz, R. Zoncu, D. Toomre. Estimating the duration of endocytic events. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI). Washington D.C. April, 12, 2007. [PDF]
[5] R. Zoncu, R. Perera, A. Raimondi, R. Sebastian, E. Diaz, D. K. Toomre, P. de Camilli. Functional Characterization of Stable Clathrin Patches at the Cell Surface. Proceedings of 46th Annual meeting of the American Society for Cell Biology (ASBC). San Diego, USA, 9 December, 2006.
[4] R. Sebastian, M.E. Diaz, G. Ayala, R. Zoncu, D. Toomre. Analysis of spatial dependencies of endocytic proteins by using temporal random closed sets. Conf Proc IEEE Eng Med Biol Soc (EMBS), Vol. 1, pp. 4175-4178. New York, USA, 2006.
[3] K. Letinic, R. Sebastian, G. Ayala, R. Perera, M.E. Díaz, D. Toomre. Anaylsis of Spatial-Temporal Coordination of Exocytosis in Migrating Astrocytes. The 58th Annual Meeting of the Japan Society for Cell Biology (JSCB). Saitama (Japan), 15-17 June, 2005.
[2] R. Zoncu, R. Sebastian, R. Perera, M.E. Díaz, P. de Camilli, D. Toomre. Rapid dynamics of dynamin and its interactors at endocytic hotspots. The 58th Annual Meeting of the Japan Society for Cell Biology (JSCB). Saitama (Japan), 15-17 June, 2005.
[1] Zoncu, R. Sebastian, R., Díaz, M.E., de Camilli, P., Toomre, D. Spatial and temporal relationships between ligand-receptor complex formation and clathrin-mediated receptor internalization. 44th Annual meeting of the American Society for Biology. Procedings of 44th Annual meeting of the American Society for Cell Biology (ASBC). Washington, DC (USA), 2004.
