Three-dimensional cardiac computational modelling: methods, features and applications.
Open accessAbstract
The combination of computational models and biophysical simulations can help to interpret an array of experimental data and contribute to the understanding, diagnosis and treatment of complex diseases such as cardiac arrhythmias. For this reason, three-dimensional (3D) cardiac computational modelling is currently a rising field of research. The advance of medical imaging technology over the last decades has allowed the evolution from generic to patient-specific 3D cardiac models that faithfully represent the anatomy and different cardiac features of a given alive subject. Here we analyse sixty representative 3D cardiac computational models developed and published during the last fifty years, describing their information sources, features, development methods and online availability. This paper also reviews the necessary components to build a 3D computational model of the heart aimed at biophysical simulation, paying especial attention to cardiac electrophysiology (EP), and the existing approaches to incorporate those components. We assess the challenges associated to the different steps of the building process, from the processing of raw clinical or biological data to the final application, including image segmentation, inclusion of substructures and meshing among others. We briefly outline the personalisation approaches that are currently available in 3D cardiac computational modelling. Finally, we present examples of several specific applications, mainly related to cardiac EP simulation and model-based image analysis, showing the potential usefulness of 3D cardiac computational modelling into clinical environments as a tool to aid in the prevention, diagnosis and treatment of cardiac diseases.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
When imaging data is noisy, an alternative rule-based methodology can be utilized to simulate electrical wave propagation and mechanical contraction in the heart.
“However, when imaging data is noisy, an alternative rule-based methodology can be utilized to simulate electrical wave propagation and mechanical contraction in the heart (Bayer et al., 2012; Lopez-Perez et al., 2015; Nguyen et al., 2020).”
From Thoroughly Calibrated Modular Agent-Based Model of the Human Cardiovascular and Renal Systems for Blood Pressure Regulation in Health and Disease (2021) · cites this paper as Lopez-Perez et al., 2015
The Myocardial structure section (page unavailable) describes rule-based fibre-orientation methods, reports that they produced electrical-activation patterns similar to DTI-based methods, and says fibre orientation matters for both electrical and mechanical simulations. It also notes that in-vivo cardiac DTI is sensitive to motion artefacts. It does not specifically say that noisy imaging data is the condition for choosing a rule-based method, or demonstrate rule-based simulation of mechanical contraction. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Hodgkin, A. L., & Huxley, A. F. (1952) · The Journal of Physiology · doi:10.1113/jphysiol.1952.sp004764 · Cited by 23,191 · see citing works
Impulses and Physiological States in Theoretical Models of Nerve Membrane
Fitzhugh, R. (1961) · Biophysical Journal · doi:10.1016/s0006-3495(61)86902-6 · Cited by 6,199 · see citing works
Kim, R. J., Fieno, D. S., Parrish, T. B., Harris, K. R., Chen, E.-L., Simonetti, O. P., Bundy, J. M., Finn, J. P., Klocke, F. J., & Judd, R. M. (1999) · Circulation · doi:10.1161/01.cir.100.19.1992 · Cited by 2,583 · see citing works
Total Excitation of the Isolated Human Heart
DURRER, D., van Dam, R. T., FREUD, G. E., Janse, M. J., MEIJLER, F. L., & ARZBAECHER, R. C. (1970) · Circulation · doi:10.1161/01.cir.41.6.899 · Cited by 1,779 · see citing works
Fiber Orientation in the Canine Left Ventricle during Diastole and Systole
Streeter, D. D., Spotnitz, H. M., PATEL, D. P., Ross, J., & Sonnenblick, E. H. (1969) · Circulation Research · doi:10.1161/01.res.24.3.339 · Cited by 1,457 · see citing works
A computer model of atrial fibrillation
Moe, G. K., Rheinboldt, W. C., & Abildskov, J. A. (1964) · American Heart Journal · doi:10.1016/0002-8703(64)90371-0 · Cited by 1,349 · see citing works
O'Hara, T., Virág, L., Varró, A., & Rudy, Y. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002061 · Cited by 1,196 · see citing works
Assessment of Myocardial Fibrosis With Cardiovascular Magnetic Resonance
Mewton, N., Liu, C. Y., Croisille, P., Bluemke, D. A., & Lima, J. A. C. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.11.013 · Cited by 987 · see citing works
Fenton, F. H., & Karma, A. (1998) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.166311 · Cited by 866 · see citing works
LeGrice, I. J., Smaill, B. H., Chai, L. Z., Edgar, S. G., Gavin, J. B., & Hunter, P. J. (1995) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1995.269.2.h571 · Cited by 841 · see citing works
A model of cardiac electrical activity incorporating ionic pumps and concentration changes
DiFrancesco, D., & Noble, D. (1985) · Philosophical transactions of the Royal Society of London. Series B, Biological sciences · doi:10.1098/rstb.1985.0001 · Cited by 827 · see citing works
Patch Clamp Techniques for Studying Ionic Channels in Excitable Membranes
Sakmann, B. J., & Neher, E. (1984) · Annual Review of Physiology · doi:10.1146/annurev.ph.46.030184.002323 · Cited by 761 · see citing works
A review of segmentation methods in short axis cardiac MR images
Petitjean, C., & Dacher, J. (2010) · Medical Image Analysis · doi:10.1016/j.media.2010.12.004 · Cited by 732 · see citing works
Directional differences of impulse spread in trabecular muscle from mammalian heart.
Clerc, L. (1976) · The Journal of Physiology · doi:10.1113/jphysiol.1976.sp011283 · Cited by 665 · see citing works
Mathematical model of geometry and fibrous structure of the heart
Nielsen, P. M. F., Grice, I. J. L., Smaill, B. H., & Hunter, P. J. (1991) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1991.260.4.h1365 · Cited by 657 · see citing works
Bayer, J. D., Blake, R. C., Plank, G., & Trayanova, N. A. (2012) · Annals of Biomedical Engineering · doi:10.1007/s10439-012-0593-5 · Cited by 557 · see citing works
Three-dimensional modeling for functional analysis of cardiac images, a review
Frangi, A. F., Niessen, W. J., & Viergever, M. A. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906421 · Cited by 533 · see citing works
Martos, R., Baugh, J. A., Ledwidge, M. T., O’Loughlin, C., Conlon, C. M., Patle, A. K., Donnelly, S. C., & McDonald, K. (2007) · Circulation · doi:10.1161/circulationaha.106.638569 · Cited by 464 · see citing works
Liu, D. W., Gintant, G. A., & Antzelevitch, C. (1993) · Circulation Research · doi:10.1161/01.res.72.3.671 · Cited by 462 · see citing works
Scollan, D. F., Holmes, A., Winslow, R. L., & Forder, J. R. (1998) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1998.275.6.h2308 · Cited by 458 · see citing works
Minimal model for human ventricular action potentials in tissue
Bueno‐Orovio, A., Cherry, E. M., & Fenton, F. H. (2008) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2008.03.029 · Cited by 414 · see citing works
Calcium cycling proteins and heart failure: mechanisms and therapeutics
Marks, A. R. (2013) · Journal of Clinical Investigation · doi:10.1172/jci62834 · Cited by 403 · see citing works
3-D active appearance models: segmentation of cardiac MR and ultrasound images
Mitchell, S., Bosch, J. G., Lelieveldt, B. P. F., van der Geest, R. J., Reiber, J. H. C., & Milan Sonka, A. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.804425 · Cited by 392 · see citing works
Magnetic resonance myocardial fiber-orientation mapping with direct histological correlation
Hsu, E. W., MUZIKANT, A. L., Matulevicius, S. A., Penland, R. C., & Henriquez, C. S. (1998) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1998.274.5.h1627 · Cited by 388 · see citing works
Frangi, A. F., Rueckert, D., Schnabel, J. A., & Niessen, W. J. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.804426 · Cited by 382 · see citing works
Lewandowsky, S. (2015) · Bristol Research (University of Bristol) · doi:10.5523/bris.swyt56qr4vaj17op9cw3sag7d · Cited by 369 · see citing works
Automatic Model-Based Segmentation of the Heart in CT Images
Ecabert, O., Peters, J., Schramm, H., Lorenz, C., von Berg, J., Walker, M. J. P., Vembar, M., Olszewski, M. E., Subramanyan, K., Lavi, G., et al. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.918330 · Cited by 368 · see citing works
A two-current model for the dynamics of cardiac membrane
Mitchell, C. (2003) · Bulletin of Mathematical Biology · doi:10.1016/s0092-8240(03)00041-7 · Cited by 364 · see citing works
Simulation studies of the electrocardiogram. I. The normal heart.
Miller, W. T., & Geselowitz, D. B. (1978) · Circulation Research · doi:10.1161/01.res.43.2.301 · Cited by 361 · see citing works
Rice, J. J., Wang, F., Bers, D. M., & de Tombe, P. P. (2008) · Biophysical Journal · doi:10.1529/biophysj.107.119487 · Cited by 356 · see citing works
Dass, S., Suttie, J. J., Piechnik, S. K., Ferreira, V. M., Holloway, C. J., Banerjee, R., Mahmod, M., Cochlin, L. E., Karamitsos, T. D., Robson, M. D., et al. (2012) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.112.976738 · Cited by 347 · see citing works
Land, R., Engler, G., Kral, A., & Engel, A. K. (2015) · Cited by 346 · see citing works
Shaw, R. M. (1997) · Cardiovascular Research · doi:10.1016/s0008-6363(97)00093-x · Cited by 331 · see citing works
Janse, M. J., & Kléber, A. G. (1981) · Circulation Research · doi:10.1161/01.res.49.5.1069 · Cited by 321 · see citing works
Berenfeld, O., & Jalife, J. (1998) · Circulation Research · doi:10.1161/01.res.82.10.1063 · Cited by 294 · see citing works
Kohl, P. K., Hunter, P. J., & Noble, D. (1999) · Progress in Biophysics and Molecular Biology · doi:10.1016/s0079-6107(98)00038-8 · Cited by 293 · see citing works
Wu, M.-T., Tseng, W. I., Su, M.-Y. M., Liu, C.-P., Chiou, K.-R., Wedeen, V. J., Reese, T. G., & Yang, C.-F. (2006) · Circulation · doi:10.1161/circulationaha.105.545863 · Cited by 292 · see citing works
Robb, J. S., & Robb, R. C. (1942) · American Heart Journal · doi:10.1016/s0002-8703(42)90291-6 · Cited by 281 · see citing works
Fonseca, C. G., Backhaus, M., Bluemke, D. A., Britten, R. D., Chung, J. D., Cowan, B. R., Dinov, I. D., Finn, J. P., Hunter, P. J., Kadish, A. H., et al. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr360 · Cited by 281 · see citing works
A Computer Model of Normal Conduction in the Human Atria
Harrild, C. S. H. D. M. (2000) · Circulation Research · doi:10.1161/01.res.87.7.e25 · Cited by 278 · see citing works
Verification of cardiac tissue electrophysiology simulators using an <i>N</i> -version benchmark
Niederer, S. A., Kerfoot, E., Benson, A. P., Bernabeu, M. O., Bernus, O., Bradley, C., Cherry, E. M., Clayton, R., Fenton, F. H., Garny, A., et al. (2011) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2011.0139 · Cited by 275 · see citing works
Hansen, D. E., Craig, C. S., & Hondeghem, L. M. (1990) · Circulation · doi:10.1161/01.cir.81.3.1094 · Cited by 274 · see citing works
Computational biology in the study of cardiac ion channels and cell electrophysiology
Rudy, Y., & Silva, J. R. (2006) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583506004227 · Cited by 260 · see citing works
Three-dimensional analysis of regional cardiac function: a model of rabbit ventricular anatomy
Vetter, F. J., & McCulloch, A. D. (1998) · Progress in Biophysics and Molecular Biology · doi:10.1016/s0079-6107(98)00006-6 · Cited by 256 · see citing works
Kerckhoffs, R. C. P., Neal, M. L., Gu, Q., Bassingthwaighte, J. B., Omens, J. H., & McCulloch, A. D. (2006) · Annals of Biomedical Engineering · doi:10.1007/s10439-006-9212-7 · Cited by 251 · see citing works
Heterogeneous three-dimensional anatomical and electrophysiological model of human atria
Seemann, G., Höper, C., Sachse, F. B., Dössel, O., Holden, A. V., & Zhang, H. (2006) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2006.1781 · Cited by 239 · see citing works
Maxime Sermesant, B., Chabiniok, R., Chinchapatnam, P. P., Mansi, T., Billet, F., Moireau, P., Peyrat, J., Wong, K. C. L., Relan, J., Rhode, K., et al. (2011) · Medical Image Analysis · doi:10.1016/j.media.2011.07.003 · Cited by 232 · see citing works
Ex vivo 3D diffusion tensor imaging and quantification of cardiac laminar structure
Helm, P. A., Tseng, H.-J., Laurent Younes, B., McVeigh, E. R., & Winslow, R. L. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20622 · Cited by 226 · see citing works
Volders, P. G. A., Sipido, K. R., Carmeliet, E. E., Spätjens, R. L. H. M. G., Wellens, H. J. J., & Vos, M. A. (1999) · Circulation · doi:10.1161/01.cir.99.2.206 · Cited by 215 · see citing works
An electromechanical model of the heart for image analysis and simulation
Maxime Sermesant, B., Delingette, H., & Ayache, N. (2006) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.872746 · Cited by 214 · see citing works
ten Tusscher, K., & Panfilov, A. V. (2006) · Physics in Medicine and Biology · doi:10.1088/0031-9155/51/23/014 · Cited by 207 · see citing works
Three-Dimensional Architecture of Scar and Conducting Channels Based on High Resolution ce-CMR
Fernández‐Armenta, J., Berruezo, A., Andreu, D., Cámara, Ó., Silva, E., Serra, L., Barbarito, V., Carotenutto, L., Evertz, R., Ortiz-Pérez, J. T., et al. (2013) · Circulation Arrhythmia and Electrophysiology · doi:10.1161/circep.113.000264 · Cited by 202 · see citing works
David, E. P., Arenal, Á., Rubio-Guivernau, J. L., del Castillo, R., Atéa, L., Arbelo, E., Caballero, E. B., Celorrio, V., Datino, T., González‐Torrecilla, E., et al. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.07.043 · Cited by 200 · see citing works
Dobrzynski, H., Anderson, R. H., Atkinson, A. J., Borbas, Z., D’Souza, A., Fraser, J. F., Inada, S., Logantha, S. J. R. J., Monfredi, O., Morris, G. M., et al. (2013) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2013.04.010 · Cited by 198 · see citing works
Stretch activated ion channels in ventricular myocytes
Craelius, W., Chen, V., & El‐Sherif, N. (1988) · Bioscience Reports · doi:10.1007/bf01121637 · Cited by 190 · see citing works
Apico-basal inhomogeneity in distribution of ion channels in canine and human ventricular myocardium
SZENTADRASSY, N., BANYASZ, T., BIRO, T., SZABO, G., TOTH, B., MAGYAR, J., LAZAR, J., VARRO, A., KOVACS, L., & NANASI, P. (2005) · Cardiovascular Research · doi:10.1016/j.cardiores.2004.11.022 · Cited by 185 · see citing works
Cellular consequences of HERG mutations in the long QT syndrome: precursors to sudden cardiac death
Clancy, C. E. (2001) · Cardiovascular Research · doi:10.1016/s0008-6363(00)00293-5 · Cited by 182 · see citing works
Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images
Lötjönen, J. M. P. (2004) · Medical Image Analysis · doi:10.1016/j.media.2004.06.013 · Cited by 180 · see citing works
Homogeneity of Cardiac Contraction Despite Physiological Asynchrony of Depolarization: A Model Study
Kerckhoffs, R. C. P., Bovendeerd, P. H. M., Kotte, J. C. S., Prinzen, F. W., Smits, K. C., & Arts, T. G. J. (2003) · Annals of Biomedical Engineering · doi:10.1114/1.1566447 · Cited by 178 · see citing works
Bishop, M. J., Plank, G., Burton, R. A. B., Schneider, J. E., Gavaghan, D. J., Grau, V., & Kohl, P. K. (2009) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00606.2009 · Cited by 171 · see citing works
Simulation of Action Potentials From Metabolically Impaired Cardiac Myocytes
Ferrero, J. M., Sáiz, J., Ferrero, J. M., & Thakor, N. V. (1996) · Circulation Research · doi:10.1161/01.res.79.2.208 · Cited by 171 · see citing works
Self-citationMathematical models of the electrical action potential of Purkinje fibre cells
Stewart, P., Aslanidi, O. V., Noble, D., Noble, P. J., Boyett, M. R., & Zhang, H. (2009) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2008.0283 · Cited by 165 · see citing works
Cardiac cell modelling: Observations from the heart of the cardiac physiome project
Fink, M., Niederer, S., Cherry, E. M., Fenton, F. H., Koivumäki, J. T., Seemann, G., Thul, R., Zhang, H., Sachse, F. B., Beard, D. A., et al. (2010) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2010.03.002 · Cited by 164 · see citing works
An eikonal-curvature equation for action potential propagation in myocardium
Keener, J. P. (1991) · Journal of Mathematical Biology · doi:10.1007/bf00163916 · Cited by 158 · see citing works
Plank, G., Burton, R. A. B., Hales, P. W., Bishop, M. J., Mansoori, T., Bernabéu, M. O., Garny, A., Prassl, A. J., Bollensdorff, C., Mason, F. E., et al. (2009) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2009.0056 · Cited by 158 · see citing works
Maxime Sermesant, B., Moireau, P., Cámara, Ó., Sainte-Marie, J., Andriantsimiavona, R., Cimrman, R., Hill, D., Dominique Chapelle, A., & Razavi, R. (2006) · Medical Image Analysis · doi:10.1016/j.media.2006.04.002 · Cited by 153 · see citing works
Models of cardiac electromechanics based on individual hearts imaging data
Gurev, V., Lee, T. L.-T., Constantino, J. L., Arevalo, H., & Trayanova, N. A. (2010) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-010-0235-5 · Cited by 148 · see citing works
Non-contact left ventricular endocardial mapping in cardiac resynchronisation therapy
Lambiase, P. D., Rinaldi, C. A., Hauck, J., Mobb, M., Elliott, D., Mohammad, S., Gill, J. S., & Bucknall, C. A. (2003) · Heart · doi:10.1136/heart.90.1.44 · Cited by 145 · see citing works
Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia
Ashikaga, H., Arevalo, H., Vadakkumpadan, F., Blake, R., Bayer, J. D., Nazarian, S., Zviman, M. M., Tandri, H. S., Berger, R. D., Calkins, H. G., et al. (2013) · Heart Rhythm · doi:10.1016/j.hrthm.2013.04.015 · Cited by 145 · see citing works
Computational cardiac atlases: from patient to population and back
Young, A. A., & Frangi, A. F. (2008) · Experimental Physiology · doi:10.1113/expphysiol.2008.044081 · Cited by 138 · see citing works
Tranum-Jensen, J., Wilde, A. A. M., VERMEULEN, J. T., & Janse, M. J. (1991) · Circulation Research · doi:10.1161/01.res.69.2.429 · Cited by 136 · see citing works
Peyrat, J., Maxime Sermesant, B., Pennec, X., Delingette, H., Xu, C., McVeigh, E. R., & Ayache, N. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.907286 · Cited by 133 · see citing works
Influence of diffuse fibrosis on wave propagation in human ventricular tissue
ten Tusscher, K., & Panfilov, A. V. (2007) · EP Europace · doi:10.1093/europace/eum206 · Cited by 132 · see citing works
Maleckar, M. M., Greenstein, J. L., Giles, W. R., & Trayanova, N. A. (2009) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00411.2009 · Cited by 132 · see citing works
Abboud, S., Berenfeld, O., & SADEH, D. S. (1991) · Circulation Research · doi:10.1161/01.res.68.6.1751 · Cited by 131 · see citing works
Biomechanics of Cardiac Electromechanical Coupling and Mechanoelectric Feedback
Pfeiffer, E. R., Tangney, J. R., Omens, J. H., & McCulloch, A. D. (2014) · Journal of Biomechanical Engineering · doi:10.1115/1.4026221 · Cited by 131 · see citing works
Heidenreich, E. A., Ferrero, J. M., Doblaré, M., & Matas, J. F. R. (2010) · Annals of Biomedical Engineering · doi:10.1007/s10439-010-9997-2 · Cited by 130 · see citing works
Self-citationFranzone, P. C., Guerri, L., & Rovida, S. (1990) · Journal of Mathematical Biology · doi:10.1007/bf00163143 · Cited by 130 · see citing works
Automatically Generated, Anatomically Accurate Meshes for Cardiac Electrophysiology Problems
Prassl, A. J., Kickinger, F., Ahammer, H., Grau, V., Schneider, J. E., Hofer, E., Vigmond, E. J., Trayanova, N. A., & Plank, G. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2014243 · Cited by 126 · see citing works
Electrophysiological Modeling of Cardiac Ventricular Function: From Cell to Organ
Winslow, R. L., Scollan, D. F., Holmes, A. A., Yung, C. K., Zhang, J., & Jafri, M. S. (2000) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.2.1.119 · Cited by 126 · see citing works
Ventricular mechanics in diastole: material parameter sensitivity
Stevens, C., Remme, E. W., LeGrice, I. J., & Hunter, P. J. (2003) · Journal of Biomechanics · doi:10.1016/s0021-9290(02)00452-9 · Cited by 125 · see citing works
Cardiac Electromechanical Models: From Cell to Organ
Trayanova, N. A., & Rice, J. J. (2011) · Frontiers in Physiology · doi:10.3389/fphys.2011.00043 · Cited by 124 · see citing works
Stephenson, R. S., Boyett, M. R., Hart, G., Nikolaidou, T., Cai, X., Corno, A. F., Alphonso, N., Jeffery, N. S., & Jarvis, J. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035299 · Cited by 124 · see citing works
The three‐dimensional arrangement of the myocytes in the ventricular walls
Anderson, R. H., Smerup, M., Sánchez‐Quintana, D., Loukas, M., & Lunkenheimer, P. P. (2008) · Clinical Anatomy · doi:10.1002/ca.20645 · Cited by 123 · see citing works
In vivo human cardiac fibre architecture estimation using shape-based diffusion tensor processing
Toussaint, N., Stoeck, C. T., Schaeffter, T., Kozerke, S., Maxime Sermesant, B., & Batchelor, P. G. (2013) · Medical Image Analysis · doi:10.1016/j.media.2013.02.008 · Cited by 122 · see citing works
A comprehensive shape model of the heart
Cristian Lorenz, A., & von Berg, J. (2006) · Medical Image Analysis · doi:10.1016/j.media.2006.03.004 · Cited by 122 · see citing works
Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration
Lorenzo-Valdés, M., Sanchez-Ortiz, G. I., Mohiaddin, R. H., & Rueckert, D. (2002) · Lecture notes in computer science · doi:10.1007/3-540-45786-0_79 · Cited by 120 · see citing works
Franzone, P. C., Guerri, L., Pennacchio, M., & TACCARDI, B. (1998) · Mathematical Biosciences · doi:10.1016/s0025-5564(97)00093-x · Cited by 119 · see citing works
Wenk, J. F., Zhang, Z., Cheng, G., Malhotra, D. K., Acevedo‐Bolton, G., Burger, M., Suzuki, T., Saloner, D., Wallace, A. W., Guccione, J. M., et al. (2010) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2010.02.036 · Cited by 119 · see citing works
Study of atrial arrhythmias in a computer model based on magnetic resonance images of human atria
VIRAG, N., Jacquemet, V., Henriquez, C. S., Zozor, S., Blanc, O., Vésin, J.-M., Pruvot, E. J., & KAPPENBERGER, L. J. (2002) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.1483935 · Cited by 116 · see citing works
High-Resolution 3-Dimensional Reconstruction of the Infarct Border Zone
Rutherford, S. L., Trew, M. L., Sands, G. B., LeGrice, I. J., & Smaill, B. H. (2012) · Circulation Research · doi:10.1161/circresaha.111.260943 · Cited by 115 · see citing works
Deformable biomechanical models: Application to 4D cardiac image analysis
Maxime Sermesant, B., Forest, C., Pennec, X., Delingette, H., & Ayache, N. (2003) · Medical Image Analysis · doi:10.1016/s1361-8415(03)00068-9 · Cited by 112 · see citing works
Cabo, C., & Boyden, P. A. (2003) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00512.2002 · Cited by 112 · see citing works
Aslanidi, O. V., Nikolaidou, T., Zhao, J., Smaill, B. H., Gilbert, S., Holden, A. V., Lowe, T., Withers, P. J., Stephenson, R. S., Jarvis, J. C., et al. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2209183 · Cited by 110 · see citing works
A computational study of discrete mechanical tissue models
Pathmanathan, P., Cooper, J., Fletcher, A. G., Mirams, G. R., Murray, P. J., Osborne, J. M., Pitt‐Francis, J., Walter, A., & Chapman, S. J. (2009) · Physical Biology · doi:10.1088/1478-3975/6/3/036001 · Cited by 109 · see citing works
Segmentation of the heart and great vessels in CT images using a model-based adaptation framework
Ecabert, O., Peters, J., Walker, M. J. P., Ivanc, T. B., Cristian Lorenz, A., von Berg, J., Lessick, J., Vembar, M., & Weese, J. (2011) · Medical Image Analysis · doi:10.1016/j.media.2011.06.004 · Cited by 107 · see citing works
Relan, J., Chinchapatnam, P. P., Maxime Sermesant, B., Rhode, K., Ginks, M., Delingette, H., Rinaldi, C. A., Razavi, R., & Ayache, N. (2011) · Interface Focus · doi:10.1098/rsfs.2010.0041 · Cited by 107 · see citing works
Towards predictive modelling of the electrophysiology of the heart
Vigmond, E. J., Vadakkumpadan, F., Gurev, V., Arevalo, H., Deo, M., Plank, G., & Trayanova, N. A. (2009) · Experimental Physiology · doi:10.1113/expphysiol.2008.044073 · Cited by 106 · see citing works
Tobón, C., Villa, C. A. R., Heidenreich, E. A., Romero, L., Hornero, F., & Sáiz, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0050883 · Cited by 105 · see citing works
An accurate, fast and robust method to generate patient-specific cubic Hermite meshes
Lamata, P., Niederer, S., Nordsletten, D., Barber, D. C., Roy, I., Hose, D. R., & Smith, N. P. (2011) · Medical Image Analysis · doi:10.1016/j.media.2011.06.010 · Cited by 104 · see citing works
Three‐Dimensional Models of Individual Cardiac Histoanatomy: Tools and Challenges
Burton, R. A. B., Plank, G., Schneider, J. E., Grau, V., Ahammer, H., Keeling, S. L., Lee, J., Smith, N. P., Gavaghan, D. J., Trayanova, N. A., et al. (2006) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1380.023 · Cited by 101 · see citing works
Tachycardia in Post-Infarction Hearts: Insights from 3D Image-Based Ventricular Models
Arevalo, H., Plank, G., Helm, P. A., Halperin, H. R., & Trayanova, N. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068872 · Cited by 98 · see citing works
Ender Konukoglu, A., Relan, J., Cilingir, U., Menze, B. H., Chinchapatnam, P. P., Jadidi, A., Cochet, H., Hocini, M., Delingette, H., Jaı̈s, P., et al. (2011) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2011.07.002 · Cited by 92 · see citing works
A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT
Hoogendoorn, C., Duchateau, N., Sánchez‐Quintana, D., Whitmarsh, T., Sukno, F. M., Craene, M. D., Lekadir, K., & Frangi, A. F. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2230015 · Cited by 91 · see citing works
Krueger, M. W., Seemann, G., Rhode, K., Keller, D. U. J., Schilling, C., Arujuna, A., Gill, J., O'Neill, M. D., Razavi, R., & Dössel, O. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2201948 · Cited by 90 · see citing works
Finite-Element Model for the Mechanical Behavior of the Left Ventricle
Janz, R. F., & GRIMM, A. F. (1972) · Circulation Research · doi:10.1161/01.res.30.2.244 · Cited by 89 · see citing works
An analytic elastic-viscoelastic model for the shape and the forces in the left ventricle
Ghista, D. N., & Sandler, H. (1969) · Journal of Biomechanics · doi:10.1016/0021-9290(69)90040-2 · Cited by 88 · see citing works
Aoki, M., Okamoto, Y., Musha, T., & Harumi, K. (1987) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1987.326079 · Cited by 88 · see citing works
Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies
Vadakkumpadan, F., Rantner, L. J., Tice, B. M., Boyle, P. M., Prassl, A. J., Vigmond, E. J., Plank, G., & Trayanova, N. A. (2009) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2008.12.003 · Cited by 87 · see citing works
A Model of Canine Purkinje Cell Electrophysiology and Ca 2+ Cycling
Li, P., & Rudy, Y. (2011) · Circulation Research · doi:10.1161/circresaha.111.246512 · Cited by 86 · see citing works
A computer heart model incorporating anisotropic propagation
Lorange, M., & Gulrajani, R. M. (1993) · Journal of Electrocardiology · doi:10.1016/0022-0736(93)90047-h · Cited by 82 · see citing works
Effects of the Purkinje System and Cardiac Geometry on Biventricular Pacing: A Model Study
Romero, D., Sebastián, R., Bijnens, B. H., Zimmerman, V., Boyle, P. M., Vigmond, E. J., & Frangi, A. F. (2010) · Annals of Biomedical Engineering · doi:10.1007/s10439-010-9926-4 · Cited by 82 · see citing works
Niederer, S., Shetty, A., Plank, G., Bostock, J., Razavi, R., SMITH, N. P., & Rinaldi, C. A. (2011) · Pacing and Clinical Electrophysiology · doi:10.1111/j.1540-8159.2011.03243.x · Cited by 77 · see citing works
Computer Simulation of the Propagation Process in Excitation of the Ventricles
Okajima, M., Fujino, T., Kobayashi, T., & Yamada, K. (1968) · Circulation Research · doi:10.1161/01.res.23.2.203 · Cited by 76 · see citing works
Computational approaches to understand cardiac electrophysiology and arrhythmias
Roberts, B. N., Yang, P., Vaughn‐Behrens, S. B., Moreno, J. D., & Clancy, C. E. (2012) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.01081.2011 · Cited by 75 · see citing works
Cardiac mechano-electric feedback and arrhythmias : from pipette to patient
Kohl, P. K., Sachs, F., & Franz, M. R. (2005) · Elsevier eBooks · Cited by 73 · see citing works
Construction of a 4D Statistical Atlas of the Cardiac Anatomy and Its Use in Classification
Perperidis, D., Mohiaddin, R. H., & Rueckert, D. (2005) · Lecture notes in computer science · doi:10.1007/11566489_50 · Cited by 72 · see citing works
The Role of Purkinje-Myocardial Coupling during Ventricular Arrhythmia: A Modeling Study
Behradfar, E., Nygren, A., & Vigmond, E. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088000 · Cited by 72 · see citing works
Toussaint, N., Maxime Sermesant, B., Stoeck, C. T., Kozerke, S., & Batchelor, P. G. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15705-9_51 · Cited by 68 · see citing works
Bordas, R., Gillow, K., Lou, Q., Efimov, I. R., Gavaghan, D. J., Kohl, P. K., Grau, V., & Rodríguez, B. (2011) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2011.05.002 · Cited by 68 · see citing works
Cardiac mechano-electric coupling research: Fifty years of progress and scientific innovation
Quinn, T. A., Kohl, P. K., & Ravens, U. (2014) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2014.06.007 · Cited by 64 · see citing works
Wang, Z., Taylor, L. K., Denney, W. D., & Hansen, D. E. (1994) · Circulation · doi:10.1161/01.cir.90.4.2022 · Cited by 62 · see citing works
The electrical potential produced by a strand of cardiac muscle: A bidomain analysis
Roth, B. J. (1988) · Annals of Biomedical Engineering · doi:10.1007/bf02368018 · Cited by 60 · see citing works
Models of cardiac excitation–contraction coupling in ventricular myocytes
Williams, G. S. B., Smith, G. D., Sobie, E. A., & Jafri, M. S. (2010) · Mathematical Biosciences · doi:10.1016/j.mbs.2010.03.005 · Cited by 57 · see citing works
Effect of acute global ischemia on the upper limit of vulnerability: a simulation study
Rodríguez, B., Tice, B. M., Eason, J. C., Aguel, F., Ferrero, J. M., & Trayanova, N. A. (2004) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.01175.2003 · Cited by 56 · see citing works
Self-citationELECTRICAL ACTIVITY AND REENTRY DURING ACUTE REGIONAL MYOCARDIAL ISCHEMIA: INSIGHTS FROM SIMULATIONS
Ferrero, J. M., Trénor, B., Rodríguez, B., & Sáiz, J. (2003) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127403008806 · Cited by 55 · see citing works
Self-citationCharacterization and Modeling of the Peripheral Cardiac Conduction System
Sebastián, R., Zimmerman, V., Romero, D., Sánchez‐Quintana, D., & Frangi, A. F. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2221474 · Cited by 54 · see citing works
Purkinje-mediated Effects in the Response of Quiescent Ventricles to Defibrillation Shocks
Boyle, P. M., Deo, M., Plank, G., & Vigmond, E. J. (2009) · Annals of Biomedical Engineering · doi:10.1007/s10439-009-9829-4 · Cited by 48 · see citing works
Ordás, S., Boisrobert, L., Huguet, M., & Frangi, A. F. (2003) · Computers in cardiology · doi:10.1109/cic.2003.1291235 · Cited by 48 · see citing works
Models of stretch-activated ventricular arrhythmias
Trayanova, N. A., Constantino, J. L., & Gurev, V. (2010) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2010.05.014 · Cited by 46 · see citing works
Zhao, J., Butters, T. D., Zhang, H., LeGrice, I. J., Sands, G. B., & Smaill, B. H. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2227776 · Cited by 44 · see citing works
Ng, J., Jacobson, J. T., Ng, J., Gordon, D., Lee, D. C., Carr, J., & Goldberger, J. J. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.03.029 · Cited by 42 · see citing works
Deng, D., Jiao, P.-F., Ye, X., & Xia, L. (2012) · Computational and Mathematical Methods in Medicine · doi:10.1155/2012/891070 · Cited by 42 · see citing works
A computer model of human atria with reasonable computation load and realistic anatomical properties
Blanc, O., VIRAG, N., Vésin, J.-M., & KAPPENBERGER, L. J. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.959315 · Cited by 41 · see citing works
An Interactive 3D Anisotropic Cellular Automata Model of the Heart
Siregar, P., Sinteff, J.-P., Julen, N., & Beux, P. L. (1998) · Computers and Biomedical Research · doi:10.1006/cbmr.1998.1485 · Cited by 41 · see citing works
Toward Patient-Specific Myocardial Models of the Heart
Maxime Sermesant, B., Peyrat, J., Chinchapatnam, P. P., Billet, F., Mansi, T., Rhode, K., Delingette, H., Razavi, R., & Ayache, N. (2008) · Heart Failure Clinics · doi:10.1016/j.hfc.2008.02.014 · Cited by 41 · see citing works
Electrophysiologic basis for arrhythmias in ischemic heart disease
Lazzara, R., & Scherlag, B. J. (1984) · The American Journal of Cardiology · doi:10.1016/0002-9149(84)90493-4 · Cited by 40 · see citing works
Pollard, A. E., & Barr, R. C. (1991) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.88444 · Cited by 40 · see citing works
Cámara, Ó., Maxime Sermesant, B., Lamata, P., Wang, L., Pop, M., Relan, J., Craene, M. D., Delingette, H., Liu, H., Niederer, S., et al. (2011) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2011.07.007 · Cited by 39 · see citing works
Vulnerability to Reentry in a Regionally Ischemic Tissue: A Simulation Study
Trénor, B., Romero, L., Ferrero, J. M., Sáiz, J., Moltó, G., & Alonso, J. M. (2007) · Annals of Biomedical Engineering · doi:10.1007/s10439-007-9353-3 · Cited by 38 · see citing works
Self-citationBishop, M. J., Hales, P. W., Plank, G., Gavaghan, D. J., Scheider, J., & Grau, V. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01932-6_10 · Cited by 38 · see citing works
Tice, B. M., Rodríguez, B., Eason, J. C., & Trayanova, N. A. (2007) · EP Europace · doi:10.1093/europace/eum204 · Cited by 38 · see citing works
Modeling of Heart Excitation Patterns caused by a Local Inhomogeneity
Aliev, R. R., & Panfilov, A. V. (1996) · Journal of Theoretical Biology · doi:10.1006/jtbi.1996.0112 · Cited by 37 · see citing works
Rantner, L. J., Arevalo, H., Constantino, J. L., Efimov, I. R., Plank, G., & Trayanova, N. A. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2012.229088 · Cited by 36 · see citing works
Towards personalized clinical in-silico modeling of atrial anatomy and electrophysiology
Krueger, M. W., Schulze, W. H. W., Rhode, K., Razavi, R., Seemann, G., & Dössel, O. (2012) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-012-0970-0 · Cited by 34 · see citing works
Ferrero, J. M., Trénor, B., & Romero, L. (2014) · EP Europace · doi:10.1093/europace/eut405 · Cited by 32 · see citing works
Self-citationModels of Excitation–Contraction Coupling in Cardiac Ventricular Myocytes
Jafri, M. S. (2012) · Methods in molecular biology · doi:10.1007/978-1-61779-965-5_14 · Cited by 32 · see citing works
Segmentation of cardiac MR images: an active appearance model approach
Mitchell, S. C., Lelieveldt, B. P. F., van der Geest, R. J., Schaap, J. A., Reiber, J. H. C., & Milan Sonka, A. (2000) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.387684 · Cited by 32 · see citing works
Romero, L., Trénor, B., Alonso, J. M., Tobón, C., Sáiz, J., & Ferrero, J. M. (2009) · Annals of Biomedical Engineering · doi:10.1007/s10439-009-9721-2 · Cited by 31 · see citing works
Self-citationComputer model for the optimization of AV and VV delay in cardiac resynchronization therapy
Reumann, M., Farina, D., Miri, R., Lurz, S., OSSWALD, B. R., & Dössel, O. (2007) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-007-0230-x · Cited by 30 · see citing works
Palamara, S., Vergara, C., Catanzariti, D., Faggiano, E., Pangrazzi, C., Centonze, M., Nobile, F., Maines, M., & Quarteroni, A. M. (2014) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.2689 · Cited by 29 · see citing works
Mathematical modeling of the heart using magnetic resonance imaging
Creswell, L. L., Wyers, S. G., Pirolo, J. S., Perman, W. H., Vannier, M. W., & Pasque, M. K. (1992) · IEEE Transactions on Medical Imaging · doi:10.1109/42.192695 · Cited by 29 · see citing works
A theoretical examination of ventricular repolarization and the secondary T wave.
Horan, L. G., Hand, R. C., Johnson, J., Sridharan, M. R., Rankin, T. B., & Flowers, N. C. (1978) · Circulation Research · doi:10.1161/01.res.42.6.750 · Cited by 29 · see citing works
Pop, M., Maxime Sermesant, B., Mansi, T., Crystal, E., Ghate, S., Peyrat, J., Lashevsky, I., Qiang, B., McVeigh, E. R., Ayache, N., et al. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2168395 · Cited by 29 · see citing works
Interaction of Specialized Cardiac Conduction System With Antiarrhythmic Drugs: A Simulation Study
Dux‐Santoy, L., Sebastián, R., Matas, J. F. R., Ferrero, J. M., & Sáiz, J. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2165213 · Cited by 28 · see citing works
Self-citationA Mathematical Model of the Mouse Ventricular Myocyte Contraction
Mullins, P. D., & Bondarenko, V. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063141 · Cited by 27 · see citing works
Computational Anatomy Atlas of the Heart
Ordás, S., Oubel, E., Sebastián, R., & Frangi, A. F. (2007) · International symposium on image and signal processing and analysis/ISPA ... · doi:10.1109/ispa.2007.4383715 · Cited by 27 · see citing works
Burton, R. A. B., Lee, P., Casero, R., Garny, A., Siedlecka, U., Schneider, J. E., Kohl, P. K., & Grau, V. (2014) · EP Europace · doi:10.1093/europace/euu234 · Cited by 26 · see citing works
Simulation of cardiac excitation patterns in a three-dimensional anatomical heart atlas
Freudenberg, J., Schiemann, T., Tiede, U., & Höhne, Κ. H. (2000) · Computers in Biology and Medicine · doi:10.1016/s0010-4825(00)00005-6 · Cited by 26 · see citing works
Three-dimensional computer model of the heart: Fibrillation induced by extrastimulation
Thakor, N. V., & Eisenman, L. N. (1989) · Computers and Biomedical Research · doi:10.1016/0010-4809(89)90073-6 · Cited by 26 · see citing works
Analysis of left ventricular behaviour in diastole by means of finite element method.
Vinson, C. A., Gibson, D. G., & Yettram, A. L. (1979) · Heart · doi:10.1136/hrt.41.1.60 · Cited by 23 · see citing works
Weese, J., Groth, A., Nickisch, H., Barschdorf, H., Weber, F. M., Velut, J., Castro, M., Toumoulin, C., Coatrieux, J.-L., Craene, M. D., et al. (2013) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-012-1027-0 · Cited by 22 · see citing works
Application of an ellipsoidal heart model in studying left ventricular contractions
van den Broek, J. H. J. M., & van den Broek, M. H. L. M. (1980) · Journal of Biomechanics · doi:10.1016/0021-9290(80)90342-5 · Cited by 22 · see citing works
3D heart model for computer simulations in cardiac surgery
Trunk, P., Močnik, J., Trobec, R., & Geršak, B. (2007) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2006.11.003 · Cited by 21 · see citing works
Kerfoot, E., Lamata, P., Niederer, S., Hose, R., Spaan, J. A. E., & Smith, N. P. (2013) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-012-1023-4 · Cited by 20 · see citing works
Tobón, C., Matas, J. F. R., Ferrero, J. M., Hornero, F., & Sáiz, J. (2012) · EP Europace · doi:10.1093/europace/eus268 · Cited by 18 · see citing works
Self-citationA mathematical model of the Purkinje-Muscle Junctions
Azzouzi, A., Coudière, Y., Turpault, R., & Zemzemi, N. (2011) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2011.8.915 · Cited by 18 · see citing works
The Role of Blood Vessels in Rabbit Propagation Dynamics and Cardiac Arrhythmias
Gibb, M. D., Bishop, M. J., Burton, R. A. B., Kohl, P. K., Grau, V., Plank, G., & Rodríguez, B. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01932-6_29 · Cited by 15 · see citing works
Niederer, S., Rhode, K., Razavi, R., & Smith, N. P. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01932-6_38 · Cited by 15 · see citing works
Plotkowiak, M., Rodríguez, B., Plank, G., Schneider, J. E., Gavaghan, D. J., Kohl, P. K., & Grau, V. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69384-0_62 · Cited by 14 · see citing works
A realistic and efficient model of excitation propagation in the human atria
Zemlin, C. W., Herzel, H., Ho, S. A., & Panfilov, A. V. (2001) · Ghent University Academic Bibliography (Ghent University) · Cited by 14 · see citing works
Arevalo, H., Helm, P. A., & Trayanova, N. A. (2008) · Computers in cardiology · doi:10.1109/cic.2008.4749087 · Cited by 13 · see citing works
Sebastián, R., Zimmerman, V., Sukno, F. M., Bijnens, B. H., & Frangi, A. F. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-642-03882-2_586 · Cited by 13 · see citing works
Validation and dynamic applications of an ellipsoid model of the left ventricle.
Koushanpour, E., & Collings, W. D. (1966) · Journal of Applied Physiology · doi:10.1152/jappl.1966.21.5.1655 · Cited by 13 · see citing works
Creation of a Human Heart, Model and its Customisation using Ultrasound Images
Schulte, R. F., Sands, G. B., Sachse, F. B., Dössel, O., & Pullan, A. J. (2001) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmte.2001.46.s2.26 · Cited by 12 · see citing works
Modeling the Human Heart Under Acute Ischemia
Heidenreich, E. A., Ferrero, J. M., & Matas, J. F. R. (2012) · Lecture notes in computational vision and biomechanics · doi:10.1007/978-94-007-4552-0_4 · Cited by 12 · see citing works
Self-citationAN ITERATIVE METHOD FOR REGISTRATION OF HIGH-RESOLUTION CARDIAC HISTOANATOMICAL AND MRI IMAGES
Mansoori, T., Plank, G., Burton, R. A. B., Schneider, J. E., Kohl, P. K., Gavaghan, D. J., & Grau, V. (2007) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2007.356916 · Cited by 11 · see citing works
Multi-scale modeling of excitation-contraction coupling in the normal and failing heart
Kerckhoffs, R. C. P., Campbell, S. G., Flaim, S. N., Howard, E., Sierra-Aguado, J., Mulligan, L. J., & McCulloch, A. D. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5332708 · Cited by 11 · see citing works
Dux‐Santoy, L., Sebastián, R., Matas, J. F. R., & Ferrero, J. M. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6611130 · Cited by 10 · see citing works
Self-citationAn Electrical Heart Model Incorporating Real Geometry and Motion
Appleton, B., Wei, Q., Crozier, ., Liu, F., Wilson, S. J., Xia, L., & Liu, N. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1616415 · Cited by 9 · see citing works
Ruiz-Villa, C., Tobón, C., Rodríguez, J. F., Ferrero, J. M., Hornero, F., & Sáiz, J. (2009) · Virtual Community of Pathological Anatomy (University of Castilla La Mancha) · Cited by 9 · see citing works
Self-citationA Realistic Anthropomorphic Numerical Model of the Beating Heart
Haddad, R., Clarysse, P., Orkisz, M., Croisille, P., Revel, D., & Magnin, I. E. (2005) · Lecture notes in computer science · doi:10.1007/11494621_38 · Cited by 8 · see citing works
Resolving the Three-Dimensional Histology of the Heart
Gibb, M. D., Burton, R. A. B., Bollensdorff, C., Afonso, C., Mansoori, T., Schotten, U., Gavaghan, D. J., Rodríguez, B., Schneider, J. E., Kohl, P. K., et al. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33636-2_2 · Cited by 8 · see citing works
Compact schemes for anisotropic reaction–diffusion equations with adaptive time step
Heidenreich, E. A., Gaspar, F. J., Ferrero, J. M., & Matas, J. F. R. (2009) · International Journal for Numerical Methods in Engineering · doi:10.1002/nme.2801 · Cited by 7 · see citing works
Self-citationYamaki, M., Kubota, I., & Tomoike, H. (1999) · Journal of Electrocardiology · doi:10.1016/s0022-0736(99)90090-0 · Cited by 7 · see citing works
Chinchapatnam, P. P., Rhode, K., Ginks, M., Mansi, T., Peyrat, J., Lambiase, P. D., Rinaldi, C. A., Razavi, R., Arridge, S., & Maxime Sermesant, B. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5334441 · Cited by 5 · see citing works
Resolving the three-dimensional histology of the heart
Gibb, M., Rab., B., Bollensdorff, C., Afonso, C. L., Mansoori, T., Schotten, U., Gavaghan, D. J., Rodríguez, B., Schneider, J., Kohl, P. K., et al. (2012) · Lecture notes in computer science · Cited by 4 · see citing works
A 3D Static Heart Model From a MSCT Data Set
Yang, G., Toumoulin, C., Coatrieux, J.-L., Shu, H., Luo, L., & Boulmier, D. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1615728 · Cited by 3 · see citing works
Synthesis of a realistic model of the surface of the heart
Bodin, O. N., & Kuzmin, A. V. (2006) · Biomedical Engineering · doi:10.1007/s10527-006-0101-z · Cited by 2 · see citing works
Inverse estimation of ventricular Purkinje tree pathways from sequences of depolarization
Cárdenes, R., Sebastián, R., Berruezo, A., & Cámara, Ó. (2014) · Computing in cardiology · Cited by 2 · see citing works
Glover (2000) · doi:10.1002/1522-2594(200007)44:1
Flagged first, then by citations
1 of the 192 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
A review of inflammatory mechanism in airway diseases
Aghasafari, P., George, U. Z., & Pidaparti, R. M. V. (2018) · Inflammation Research · doi:10.1007/s00011-018-1191-2 · Cited by 314 · see citing works
Sex Matters: A Comprehensive Comparison of Female and Male Hearts
Pierre, S. R. S., Peirlinck, M., & Ellen Kuhl, A. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.831179 · Cited by 226 · see citing works
Myocyte-fibroblast communication in cardiac fibrosis and arrhythmias: Mechanisms and model systems
Pellman, J., Zhang, J., & Sheikh, F. (2016) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2016.03.005 · Cited by 164 · see citing works
Doste, R., Soto‐Iglesias, D., Bernardino, G., Alcaine, A., Sebastián, R., Giffard‐Roisin, S., Maxime Sermesant, B., Berruezo, A., Sánchez‐Quintana, D., & Cámara, Ó. (2019) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.3185 · Cited by 130 · see citing works
Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations
Piersanti, R., Africa, P. C., Fedele, M., Vergara, C., Dede’, L., Corno, A. F., & Quarteroni, A. M. (2020) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2020.113468 · Cited by 125 · see citing works
Lopez-Perez, A., Sebastián, R., Izquierdo, M., Ruiz, R., Bishop, M. J., & Ferrero, J. M. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00580 · Cited by 105 · see citing works
Self-citationAnalysis of a coupled fluid‐structure interaction model of the left atrium and mitral valve
Feng, L., Gao, H., Griffith, B. E., Niederer, S., & Luo, X. (2019) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.3254 · Cited by 71 · see citing works
Fedele, M., & Quarteroni, A. M. (2021) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.3435 · Cited by 65 · see citing works
Validation and Trustworthiness of Multiscale Models of Cardiac Electrophysiology
Pathmanathan, P., & Gray, R. A. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00106 · Cited by 63 · see citing works
Zhou, S., Xu, L., Hao, L., Xiao, H., Yao, Y., Qi, L., & Yao, Y. (2019) · BioMedical Engineering OnLine · doi:10.1186/s12938-019-0660-3 · Cited by 57 · see citing works
The Critical Role of Lumped Parameter Models in Patient-Specific Cardiovascular Simulations
Garber, L., Khodaei, S., & Keshavarz-Motamed, Z. (2021) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-021-09685-5 · Cited by 58 · see citing works
Cedilnik, N., Duchâteau, J., Dubois, R., Sacher, F., Jaı̈s, P., Cochet, H., & Maxime Sermesant, B. (2018) · EP Europace · doi:10.1093/europace/euy228 · Cited by 51 · see citing works
A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR
Byrne, N., Clough, J. R., Valverde, I., Montana, G., & King, A. P. (2022) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2022.3203309 · Cited by 50 · see citing works
Colman, M. A. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007260 · Cited by 49 · see citing works
Kharbanda, R. K., Moore, J. P., Lloyd, M. S., Galotti, R., Bogers, A. J. J. C., Taverne, Y. J. H. J., Madhavan, M., McLeod, C. J., Dubin, A. M., Mah, D. Y., et al. (2022) · Journal of the American Heart Association · doi:10.1161/jaha.121.025121 · Cited by 44 · see citing works
Patient-specific CFD simulation of intraventricular haemodynamics based on 3D ultrasound imaging
Bavo, A. M., Pouch, A. M., Degroote, J., Vierendeels, J., Gorman, J. H., Gorman, R. C., & Segers, P. (2016) · BioMedical Engineering OnLine · doi:10.1186/s12938-016-0231-9 · Cited by 42 · see citing works
de Lepper, A. G. W., Buck, C. M. A., Veer, M. V. ’., Huberts, W., van de Vosse, F. N., & Dekker, L. (2022) · Journal of The Royal Society Interface · doi:10.1098/rsif.2022.0317 · Cited by 40 · see citing works
Clinically-Driven Virtual Patient Cohorts Generation: An Application to Aorta
Romero, P., Lozano, M., Martínez-Gil, F., Serra, D., Sebastián, R., Lamata, P., & García‐Fernández, I. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.713118 · Cited by 41 · see citing works
Preclinical Models of Cardiac Disease: A Comprehensive Overview for Clinical Scientists
van Doorn, E. C. H., Amesz, J. H., Sadeghi, A. H., de Groot, N. M. S., Manintveld, O. C., & Taverne, Y. J. H. J. (2024) · Cardiovascular Engineering and Technology · doi:10.1007/s13239-023-00707-w · Cited by 42 · see citing works
Urick, B., Sanders, T. M., Hossain, S. S., Zhang, Y. J., & Hughes, T. J. R. (2017) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-017-9246-z · Cited by 39 · see citing works
Surface Mesh Reconstruction from Cardiac MRI Contours
Villard, B., Grau, V., & Zacur, E. (2018) · Journal of Imaging · doi:10.3390/jimaging4010016 · Cited by 39 · see citing works
A fast computational model for the electrophysiology of the whole human heart
Corso, G. D., Verzicco, R., & Viola, F. (2022) · Journal of Computational Physics · doi:10.1016/j.jcp.2022.111084 · Cited by 38 · see citing works
Whole-heart modelling with valves in a fluid–structure interaction framework
Feng, L., Gao, H., & Luo, X. (2024) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2023.116724 · Cited by 36 · see citing works
Patient-specific modeling for left ventricular mechanics using data-driven boundary energies
Asner, L., Hadjicharalambous, M., Chabiniok, R., Peressutti, D., Sammut, E. C., Wong, J., Carr‐White, G., Razavi, R., King, A. P., Smith, N., et al. (2016) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2016.08.002 · Cited by 37 · see citing works
Trayanova, N. A., Doshi, A. N., & Prakosa, A. (2020) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1477 · Cited by 33 · see citing works
Non-contact Quantification of Jugular Venous Pulse Waveforms from Skin Displacements
Tang, E. J. L. P., HajiRassouliha, A., Nash, M. P., Nielsen, P. M. F., Taberner, A. J., & Çakmak, Y. Ö. (2018) · Scientific Reports · doi:10.1038/s41598-018-35483-4 · Cited by 30 · see citing works
Pagani, S., & Manzoni, A. (2021) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.3450 · Cited by 29 · see citing works
Cardiac multi-scale investigation of the right and left ventricle ex vivo: a review
Dejea, H., Bonnin, A., Cook, A. C., & García‐Canadilla, P. (2020) · Cardiovascular Diagnosis and Therapy · doi:10.21037/cdt-20-269 · Cited by 27 · see citing works
Carpio, E. F., Gómez, J. F., Sebastián, R., Lopez-Perez, A., Castellanos, E., Almendral, J. M., Ferrero, J. M., & Trénor, B. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00074 · Cited by 30 · see citing works
Self-citation3D printing of cardiac structures from medical images: an overview of methods and interactive tools
Uccheddu, F., Carfagni, M., Governi, L., Furferi, R., Volpe, Y., & Nocerino, E. (2017) · International Journal on Interactive Design and Manufacturing (IJIDeM) · doi:10.1007/s12008-017-0415-y · Cited by 27 · see citing works
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data
Ye, M., Huang, Q., Yang, D., Wu, P., Yi, J., Axel, L., & Metaxas, D. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-68107-4_12 · Cited by 26 · see citing works
Sutanto, H., & Heijman, J. (2022) · Cells · doi:10.3390/cells11071090 · Cited by 25 · see citing works
Athanasiou, L. S., Nezami, F. R., & Edelman, E. R. (2018) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2877044 · Cited by 25 · see citing works
Benson, A. P., Stevenson-Cocks, H. J., Whittaker, D. J., White, E., & Colman, M. A. (2020) · Methods · doi:10.1016/j.ymeth.2020.01.010 · Cited by 22 · see citing works
Rosalia, L., Öztürk, Ç., Story, D. V., Horvath, M. A., & Roche, E. T. (2021) · Advanced Theory and Simulations · doi:10.1002/adts.202000216 · Cited by 21 · see citing works
An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility
Serra, D., Romero, P., García‐Fernández, I., Lozano, M., Liberos, A., Rodrigo, M., Bueno‐Orovio, A., Berruezo, A., & Sebastián, R. (2022) · Mathematics · doi:10.3390/math10081293 · Cited by 22 · see citing works
Doste, R., Lozano, M., Jiménez-Pérez, G., Mont, L., Berruezo, A., Penela, D., Cámara, Ó., & Sebastián, R. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.909372 · Cited by 21 · see citing works
Matthews, N., Pandolfo, B., Moses, D. A., & Gentile, C. (2022) · Bioengineering · doi:10.3390/bioengineering9030093 · Cited by 20 · see citing works
Biomechanics of infarcted left ventricle: a review of modelling
Li, W.-G. (2020) · Biomedical Engineering Letters · doi:10.1007/s13534-020-00159-4 · Cited by 18 · see citing works
Trabecular Architecture Determines Impulse Propagation Through the Early Embryonic Mouse Heart
Olejníčková, V., Šaňková, B., Sedmera, D., & Janáček, J. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2018.01876 · Cited by 19 · see citing works
Nguyen, T. D., Kadri, O. E., & Voronov, R. S. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.529365 · Cited by 19 · see citing works
Kutumova, E., Kiselev, I., Sharipov, R., Lifshits, G., & Kolpakov, F. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.746300 · Cited by 16 · see citing works
A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data
Jaffery, O. A., Melki, L., Slabaugh, G., Good, W. W., & Roney, C. H. (2024) · Arrhythmia & Electrophysiology Review · doi:10.15420/aer.2023.25 · Cited by 17 · see citing works
Multimodal cardiovascular model for hemodynamic analysis: Simulation study on mitral valve disorders
Roy, D., Mazumder, O., Sinha, A., & Khandelwal, S. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247921 · Cited by 18 · see citing works
Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation
Pan, J., Rueckert, D., Küstner, T., & Hammernik, K. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-88552-6_2 · Cited by 17 · see citing works
Image-based modelling of skeletal muscle oxygenation
Zeller‐Plumhoff, B., Roose, T., Clough, G. F., & Schneider, P. (2017) · Journal of The Royal Society Interface · doi:10.1098/rsif.2016.0992 · Cited by 16 · see citing works
Using cardiac ionic cell models to interpret clinical data
Corrado, C., Avezzù, A., Lee, A., Costa, C. M., Roney, C. H., Strocchi, M., Bishop, M. J., & Niederer, S. (2020) · WIREs Mechanisms of Disease · doi:10.1002/wsbm.1508 · Cited by 16 · see citing works
3D MODELLING AND RAPID PROTOTYPING FOR CARDIOVASCULAR SURGICAL PLANNING – TWO CASE STUDIES
Nocerino, E., Fabio Remondino, A., Uccheddu, F., Gallo, M., & Gerosa, G. (2016) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xli-b5-887-2016 · Cited by 16 · see citing works
Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient
Tikenoğulları, O. Z., Peirlinck, M., Chubb, H., Dubin, A. M., Ellen Kuhl, A., & Marsden, A. L. (2023) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2023.2222203 · Cited by 15 · see citing works
Leong, C. O., Lim, E., Tan, L. K., Aziz, Y. F. A., Sridhar, G. S., Dokos, S., Chee, K. H., Lee, Z. V., & Liew, Y. M. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27486 · Cited by 15 · see citing works
Lecca, P., & Carpentieri, B. (2023) · Techniques in life science and biomedicine for the non-expert · doi:10.1007/978-3-031-36566-9_9 · Cited by 15 · see citing works
3D + time blood flow mapping using SPIM-microPIV in the developing zebrafish heart
Žičkus, V., & Taylor, J. M. (2018) · Biomedical Optics Express · doi:10.1364/boe.9.002418 · Cited by 14 · see citing works
Modelización computacional cardiaca
Bragard, J. R., Cámara, Ó., Echebarria, B., Gerardo‐Giorda, L., Pueyo, E., Sáiz, J., Sebastián, R., Soudah, E., & Vázquez, M. (2020) · Revista Española de Cardiología · doi:10.1016/j.recesp.2020.05.040 · Cited by 14 · see citing works
Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks
Beetz, M., Banerjee, A., & Grau, V. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3389871 · Cited by 13 · see citing works
Implementation of a Cellular Automaton for efficient simulations of atrial arrhythmias
Romitti, G. S., Liberos, A., Termenón-Rivas, M., de Arcaya, J. B.-Á., Serra, D., Romero, P., Calvo, D., Lozano, M., García‐Fernández, I., Sebastián, R., et al. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103484 · Cited by 13 · see citing works
Vasconcellos, E. C., Clua, E., Fenton, F. H., & Zamith, M. P. D. M. (2019) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.5528 · Cited by 13 · see citing works
Piazzese, C., Carminati, C., Colombo, A., Krause, R., Potse, M., Auricchio, A., Weinert, L., Tamborini, G., Pepi, M., Lang, R. M., et al. (2016) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2016.03.017 · Cited by 12 · see citing works
In Silico Cardiac Model to Evaluate Myocardial Ischemia effect on Hemodynamic Parameters
Mazumder, O., Roy, D., & Sinha, A. (2020) · European Signal Processing Conference (EUSIPCO) · doi:10.23919/eusipco47968.2020.9287472 · Cited by 12 · see citing works
Recapitulating Cardiac Structure and Function In Vitro from Simple to Complex Engineering
Santos, A. C., Jang, Y., Son, I., Kim, J., & Park, Y. (2021) · Micromachines · doi:10.3390/mi12040386 · Cited by 12 · see citing works
Sex matters: the frequently overlooked importance of considering sex in computational models
Burrowes, K., Ruppage, M., Lowry, A., & Zhao, D. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1186646 · Cited by 11 · see citing works
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction
He, X., Tan, C., Han, L., Liu, B., Axel, L., Li, K., & Metaxas, D. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43990-2_13 · Cited by 11 · see citing works
Accelerating cardiac diffusion tensor imaging combining local low-rank and 3D TV constraint
Huang, J., Wang, L., Chu, C., Liu, W., & Zhu, Y. (2019) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-019-00747-1 · Cited by 11 · see citing works
Montnach, J., Baró, I., Charpentier, F., WAARD, M. M. D., & Loussouarn, G. (2021) · EP Europace · doi:10.1093/europace/euab043 · Cited by 11 · see citing works
Spatiotemporal modeling and optimization for personalized cardiac simulation
Yao, B. (2021) · IISE Transactions on Healthcare Systems Engineering · doi:10.1080/24725579.2021.1879322 · Cited by 10 · see citing works
Cardiac Electrophysiology Meshfree Modeling through the Mixed Collocation Method
Mountris, K. A., & Pueyo, E. (2023) · Applied Sciences · doi:10.3390/app132011460 · Cited by 10 · see citing works
Haghebaert, M., Varsos, P., Meiburg, R., & Vignon-Clementel, I. E. (2025) · The Journal of Physiology · doi:10.1113/jp287929 · Cited by 9 · see citing works
Barber, F., García‐Fernández, I., Lozano, M., & Sebastián, R. (2018) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.2988 · Cited by 9 · see citing works
He, J., Pertsov, A. M., Cherry, E. M., Fenton, F. H., Roney, C. H., Niederer, S., Zang, Z., & Mangharam, R. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3223063 · Cited by 8 · see citing works
Mesh U-Nets for 3D Cardiac Deformation Modeling
Beetz, M., Acero, J. C., Banerjee, A., Eitel, I., Zacur, E., Lange, T., Stiermaier, T., Evertz, R., Backhaus, S. J., Thiele, H., et al. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-23443-9_23 · Cited by 8 · see citing works
Towards the simulation of active cardiac mechanics using a smoothed finite element method
Martonová, D., Holz, D., Dương, M. T., & Leyendecker, S. (2020) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2020.110153 · Cited by 10 · see citing works
Computational Modeling for Antiarrhythmic Drugs for Atrial Fibrillation According to Genotype
Hwang, I., Jin, Z., Park, J., Kwon, O.-S., Lim, B., Hong, M., Kim, M. H., Yu, H.-T., Kim, T., Uhm, J., et al. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.650449 · Cited by 8 · see citing works
Myocardial Fluid Balance and Pathophysiology of Myocardial Edema in Coronary Artery Bypass Grafting
Zahara, R., Santoso, A., & Barano, A. Z. (2020) · Cardiology Research and Practice · doi:10.1155/2020/3979630 · Cited by 7 · see citing works
Avilés-Rivero, A. I., Widlak, T., Casals, A., Nillesen, M. M., & Ammari, H. M. (2017) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aa6914 · Cited by 7 · see citing works
Forward Electrocardiogram Modeling by Small Dipoles Based on Whole-Body Electric Field Analysis
Nakane, T., Ito, T., Matsuura, N., Togo, H., & Hirata, A. (2019) · IEEE Access · doi:10.1109/access.2019.2938409 · Cited by 7 · see citing works
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models
Biffi, C., Cerrolaza, J. J., Tarroni, G., Bai, W., de Marvao, A., Oktay, O., Ledig, C., Folgoc, L. L., Kamnitsas, K., Doumou, G., et al. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2964499 · Cited by 7 · see citing works
Kashtanova, V., Pop, M., Ayed, I., Gallinari, P., & Maxime Sermesant, B. (2023) · Interface Focus · doi:10.1098/rsfs.2023.0043 · Cited by 7 · see citing works
Can the Drosophila model help in paving the way for translational medicine in heart failure?
Ma, L. (2016) · Biochemical Society Transactions · doi:10.1042/bst20160017c · Cited by 7 · see citing works
Martonová, D., Holz, D., Seufert, J., Dương, M. T., Alkassar, M., & Leyendecker, S. (2022) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2022.110980 · Cited by 6 · see citing works
A Systematic Review of Individualized Heart Surgery with a Personalized Prosthesis
Sazzad, F., Ramanathan, K. R., Moideen, I. S. B. M., Gohary, A. E., Stevens, J. C., & Kofidis, T. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13101483 · Cited by 6 · see citing works
Velraeds, A., Strik, M., van der Zande, J. L., Fontagne, L., Haı̈ssaguerre, M., Ploux, S., Wang, Y., & Bordachar, P. (2023) · Sensors · doi:10.3390/s23229283 · Cited by 6 · see citing works
A Predictive Toxicokinetic Model for Nickel Leaching from Vascular Stents
Giakoumi, M., Stephanou, P. S., Kokkinidou, D., Papastefanou, C., Anayiotos, A. S., & Kapnisis, K. K. (2024) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.3c01436 · Cited by 6 · see citing works
Personalized Computer Simulation of Diastolic Function in Heart Failure
Amr, A., Kayvanpour, E., Sedaghat‐Hamedani, F., Passerini, T., Mihalef, V., Lai, A., Neumann, D., Georgescu, B., Buss, S. J., Mereles, D., et al. (2016) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2016.04.006 · Cited by 6 · see citing works
Hwang, I., Jin, Z., Park, J., Kwon, O.-S., Lim, B., Lee, J., Yu, H.-T., Kim, T., Joung, B., & Pak, H. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.733543 · Cited by 6 · see citing works
Park, J., Lim, B., Hwang, I., Kwon, O., Yu, H. T., Kim, T., Uhm, J., Joung, B., Lee, M., & Pak, H. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.838646 · Cited by 6 · see citing works
Евгеньевич, П. Н., Kuchumov, A. G., Nemavhola, F. J., Pandelani, T., & Ha, T. S. (2026) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1713023 · Cited by 5 · see citing works
Advancements in Finite Element Modeling for Cardiac Device Leads and 3D Heart Models
Salih, A., Hamandi, F., & Goswami, T. (2024) · Bioengineering · doi:10.3390/bioengineering11060564 · Cited by 5 · see citing works
Cardiac computational modelling
Bragard, J. R., Cámara, Ó., Echebarria, B., Gerardo‐Giorda, L., Pueyo, E., Sáiz, J., Sebastián, R., Soudah, E., & Vázquez, M. (2020) · Revista Española de Cardiología (English Edition) · doi:10.1016/j.rec.2020.05.024 · Cited by 5 · see citing works
Cardiac Mesh Reconstruction from Sparse, Heterogeneous Contours
Villard, B., Carapella, V., Ariga, R., Grau, V., & Zacur, E. (2017) · Communications in computer and information science · doi:10.1007/978-3-319-60964-5_15 · Cited by 5 · see citing works
Retrieving hidden atrial repolarization waves from standard surface ECGs
Tang, W.-H., Ho, W., & Chen, Y. J. (2018) · BioMedical Engineering OnLine · doi:10.1186/s12938-018-0576-3 · Cited by 4 · see citing works
Current progress toward isogeometric modeling of the heart biophysics
Torre, M., Morganti, S., Pasqualini, F. S., & Reali, A. (2023) · Biophysics Reviews · doi:10.1063/5.0152690 · Cited by 4 · see citing works
Hoogendoorn, C., Sebastián, R., Matas, J. F. R., Lekadir, K., & Frangi, A. F. (2016) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.2846 · Cited by 4 · see citing works
Coelho, R. C., Lourenço, N. C. G. R., & Godoy, C. (2017) · SIMULATION · doi:10.1177/0037549717733038 · Cited by 4 · see citing works
Combining Biophysical Modeling and Machine Learning to Predict Location of Atrial Ectopic Triggers
Godoy, E. J., Lozano, M., García‐Fernández, I., & Sebastián, R. (2018) · Computing in cardiology · doi:10.22489/cinc.2018.069 · Cited by 4 · see citing works
Inverse estimation of terminal connections in the cardiac conduction system
Barber, F., Lozano, M., García‐Fernández, I., & Sebastián, R. (2017) · Mathematical Methods in the Applied Sciences · doi:10.1002/mma.4280 · Cited by 4 · see citing works
Colman, M., Varela, M., MacLeod, R. S., Hancox, J. C., & Aslanidi, O. (2024) · Journal of Physiology · doi:10.1113/jp285740 · Cited by 3 · see citing works
Avilés-Rivero, A. I., Widlak, T., Casals, A., & Ammari, H. M. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7590891 · Cited by 3 · see citing works
Mazumder, O., Roy, D., Khandelwal, S., & Sinha, A. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9629645 · Cited by 3 · see citing works
Jin, J., Ma, X., Fu, X., Zhang, Z., & Yu, J. (2022) · Cardiovascular Engineering and Technology · doi:10.1007/s13239-022-00613-7 · Cited by 3 · see citing works
Vaverka, J., Burša, J., Šumbera, J., & Pásek, M. (2018) · BioMed Research International · doi:10.1155/2018/4798512 · Cited by 3 · see citing works
Pre-cath Laboratory Planning for Left Atrial Appendage Occlusion – Optional or Essential?
Devgun, J. K., Potter, T. J. R. D., Fabbricatore, D., & Wang, D. D. (2022) · Interventional Cardiology Clinics · doi:10.1016/j.iccl.2021.11.003 · Cited by 3 · see citing works
- Authors
- Lopez-Perez, A., Sebastian, R., & Ferrero, J. M.
- Affiliations
- Universitat Politècnica de València (ES)
- Corresponding author
- Lopez-Perez, Alejandro
- Venue
- BioMedical Engineering OnLine
- Published
- 2015-04-17
- Volume
- 14
- Issue
- 1
- Pages
- 35-35
- ISSN
- 1475-925X (ISSN-L)
- PMC
- PMC4424572
- OpenAlex
- W2047658479
- Cited by
- 151
- References
- 192
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 9 · 2023: 15 · 2022: 20 · 2021: 19 · 2020: 21 · 2019: 20 · 2018: 14 · 2017: 9 · 2016: 10 · 2015: 2
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BioMedical Engineering OnLine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RiuNet (Universitat Politècnica de València) (submittedVersion, cc-by-nc-nd)
- Funders
- European Commission
- Ministerio de Economía y Competitividad (BES-2013, TIN2011-28067, TIN2012-37546-C03-01)
- Generalitat Valenciana
- European Regional Development Fund
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Arrhythmias and Treatments
- Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
- Keywords
- patient-specific cardiac models, cardiac electrophysiology simulation, cardiac arrhythmias, image segmentation, mesh generation, model-based image analysis, biophysical simulation
- MeSH terms
- Animals, Biomechanical Phenomena, Cardiology, Computer Simulation, Decision Making, Computer-Assisted, Dogs, Electrophysiology, Heart Conduction System, Heart Diseases, Humans, Image Processing, Computer-Assisted, Models, Cardiovascular, Myocardium, Rabbits, Myocytes, Cardiac, Biophysical Phenomena, Precision Medicine, Cardiac Resynchronization Therapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
