A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations

Cardiac Resynchronization in Chronic Heart Failure

Abraham, W. T., Fisher, W. G., Smith, A. L., Delurgio, D. B., Leon, A. R., Loh, E., Kocovic, D. Z., Packer, M., Clavell, A. L., Hayes, D. L., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa013168 · Cited by 4,648 · see citing works

CARDIAC RESYNCHRONIZATION IN CHRONIC HEART FAILURE

Braham, W. I. T. A., Isher, W. E. G. F., Mith, L. S., Elurgio, D. A. B. D., Eon, A. N. R. L., Oh, E., Ocovic, D. U. Z. K., Acker, M. G., Lavell, L. C., Ayes, D. A. L. H., et al. (2002) · Cited by 3,808 · see citing works

Combined cardiac resynchronization and implantable cardioversion defibrillation in advanced chronic heart failure. the MIRACLE ICD trial

Young, J. B., Abraham, W. T., & Smith, A. L. (2003) · ACC Current Journal Review · doi:10.1016/j.accreview.2003.08.087 · Cited by 1,661 · see citing works

Randomized Trial of Cardiac Resynchronization in Mildly Symptomatic Heart Failure Patients and in Asymptomatic Patients With Left Ventricular Dysfunction and Previous Heart Failure Symptoms

Linde, C. M., Abraham, W. T., Gold, M. R., Sutton, M. S. J., Ghio, S., & Daubert, J. (2008) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2008.08.027 · Cited by 1,259 · see citing works

Alternans and spiral breakup in a human ventricular tissue model

ten Tusscher, K., & Panfilov, A. V. (2006) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00109.2006 · Cited by 1,126 · see citing works

Long-term benefits of biventricular pacing in congestive heart failure: results from the MUltisite STimulation in cardiomyopathy (MUSTIC) study

Linde, C. M., Leclercq, C., Rex, S., Garrigue, S., Lavergne, T., Cazeau, S., McKenna, W. J., Fitzgerald, M., Deharo, J., Alonso, C., et al. (2002) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(02)01932-0 · Cited by 965 · see citing works

Thermodynamic relations for high elastic materials

Flory, P. J. (1961) · Transactions of the Faraday Society · doi:10.1039/tf9615700829 · Cited by 958 · see citing works

Normalized Left Ventricular Systolic and Diastolic Function by Steady State Free Precession Cardiovascular Magnetic Resonance

Maceira, A. M., Prasad, S. K., Khan, M. N., & Pennell, D. J. (2006) · Journal of Cardiovascular Magnetic Resonance · doi:10.1080/10976640600572889 · Cited by 845 · see citing works

Left Ventricular Remodeling in Heart Failure

Konstam, M. A., Kramer, D. G., Patel, A. R., Maron, M. S., & Udelson, J. E. (2011) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2010.10.008 · Cited by 770 · see citing works

Anatomy, echocardiography, and normal right ventricular dimensions

Ho, S. Y., & Nihoyannopoulos, P. (2006) · Heart · doi:10.1136/hrt.2005.077875 · Cited by 628 · see citing works

Passive Material Properties of Intact Ventricular Myocardium Determined From a Cylindrical Model

Guccione, J. M., McCulloch, A. D., & Waldman, L. K. (1991) · Journal of Biomechanical Engineering · doi:10.1115/1.2894084 · Cited by 624 · see citing works

Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort

Petersen, S. E., Aung, N., Sanghvi, M. M., Zemrak, F., Fung, K., Paiva, J. M., Francis, J. M., Khanji, M. Y., Lukaschuk, E. I., Lee, A. M., et al. (2016) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-017-0327-9 · Cited by 601 · see citing works

Reference right ventricular systolic and diastolic function normalized to age, gender and body surface area from steady-state free precession cardiovascular magnetic resonance

Maceira, A. M., Prasad, S. K., Khan, M. A., & Pennell, D. J. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehl336 · Cited by 559 · see citing works

A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models.

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

Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features

Zheng, Y., Barbu, A., Georgescu, B., Scheuering, M., & Comaniciu, D. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2004421 · Cited by 546 · see citing works

Preterm Heart in Adult Life

Lewandowski, A. J., Augustine, D. X., Lamata, P., Davis, E., Lazdam, M., Francis, J. M., McCormick, K. P., Wilkinson, A. R., Singhal, A., Lucas, A., et al. (2012) · Circulation · doi:10.1161/circulationaha.112.126920 · Cited by 469 · see citing works

Left atrial volume predicts atrial fibrillation recurrence after radiofrequency ablation: a meta-analysis

Njoku, A., Kannabhiran, M. K., Arora, R., Reddy, P. C., Gopinathannair, R., Lakkireddy, D., & Dominic, P. S. (2017) · EP Europace · doi:10.1093/europace/eux013 · Cited by 420 · see citing works

The Living Heart Project: A robust and integrative simulator for human heart function

Baillargeon, B., Rebelo, N., Fox, D. D., Taylor, R. L., & Kuhl, E. (2014) · European Journal of Mechanics - A/Solids · doi:10.1016/j.euromechsol.2014.04.001 · Cited by 370 · see citing works

Echocardiography-Guided Left Ventricular Lead Placement for Cardiac Resynchronization Therapy

Saba, S., Marek, J. J., SCHWARTZMAN, D. S., Jain, S. K., ADELSTEIN, E. C., White, P., Oyenuga, O. A., Onishi, T., Soman, P., & Gorcsan, J. (2013) · Circulation Heart Failure · doi:10.1161/circheartfailure.112.000078 · Cited by 363 · see citing works

Solvers for the cardiac bidomain equations

Vigmond, E. J., dos Santos, R. W., Prassl, A. J., Deo, M., & Plank, G. (2007) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2007.07.012 · Cited by 345 · see citing works

Personalized virtual-heart technology for guiding the ablation of infarct-related ventricular tachycardia

Prakosa, A., Arevalo, H., Deng, D., Boyle, P. M., Nikolov, P. P., Ashikaga, H., Blauer, J. J. E., Ghafoori, E., Park, C. J., Blake, R., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0282-2 · Cited by 299 · see citing works

A clinical appraisal of left atrial function

Stefanadis, C. (2001) · European Heart Journal · doi:10.1053/euhj.1999.2581 · Cited by 282 · see citing works

Achieving finite element mesh quality via optimization of the Jacobian matrix norm and associated quantities. Part II?A framework for volume mesh optimization and the condition number of the Jacobian matrix

Knupp, P. (2000) · International Journal for Numerical Methods in Engineering · doi:10.1002/(sici)1097-0207(20000720)48:8 · Cited by 253 · see citing works

Computational techniques for solving the bidomain equations in three dimensions

Vigmond, E. J., Aguel, F., & Trayanova, N. A. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2002.804597 · Cited by 228 · see citing works

Ventricular arrhythmias and the His–Purkinje system

Haı̈ssaguerre, M., Vigmond, E. J., Stuyvers, B. D. M. Y., Hocini, M., & Bernus, O. (2016) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2015.193 · Cited by 225 · see citing works

Achieving finite element mesh quality via optimization of the Jacobian matrix norm and associated quantities. Part I?a framework for surface mesh optimization

Knupp, P. (2000) · International Journal for Numerical Methods in Engineering · doi:10.1002/(sici)1097-0207(20000530)48:3 · Cited by 222 · see citing works

MRI-based finite-element analysis of left ventricular aneurysm

Walker, J. C., Ratcliffe, M. B., Zhang, P., Wallace, A. W., Fata, B., Hsu, E. W., Saloner, D., & Guccione, J. M. (2005) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.01226.2004 · Cited by 205 · see citing works

Inhomogeneous Transmural Conduction During Early Ischaemia in Patients with Coronary Artery Disease

Taggart, P. I., Sutton, P. M., Tobias Opthof, A., Coronel, R., Trimlett, R., Pugsley, W. B., & Kallis, P. (2000) · Journal of Molecular and Cellular Cardiology · doi:10.1006/jmcc.2000.1105 · Cited by 200 · see citing works

Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model

Neic, A., Campos, F. O., Prassl, A. J., Niederer, S., Bishop, M. J., Vigmond, E. J., & Plank, G. (2017) · Journal of Computational Physics · doi:10.1016/j.jcp.2017.06.020 · Cited by 192 · 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

Coupling multi-physics models to cardiac mechanics

Nordsletten, D., Niederer, S., Nash, M. P., Hunter, P. J., & Smith, N. P. (2009) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2009.11.001 · Cited by 177 · see citing works

Development of an anatomically detailed MRI-derived rabbit ventricular model and assessment of its impact on simulations of electrophysiological function

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

A model of cardiac contraction based on novel measurements of tension development in human cardiomyocytes

Land, S., Park‐Holohan, S., Smith, N. P., dos Remedios, C. G., Kentish, J. C., & Niederer, S. (2017) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2017.03.008 · Cited by 169 · see citing works

Global Left Atrial Failure in Heart Failure

Triposkiadis, F. K., Pieske, B. M., Butler, J., Parissis, J., Giamouzis, G., Skoularigis, J. S., Brutsaert, D. L., & Boudoulas, H. K. (2016) · European Journal of Heart Failure · doi:10.1002/ejhf.645 · Cited by 161 · see citing works

Generation of histo-anatomically representative models of the individual heart: tools and application

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

Length-dependent tension in the failing heart and the efficacy of cardiac resynchronization therapy

Niederer, S., Plank, G., Chinchapatnam, P. P., Ginks, M., Lamata, P., Rhode, K., Rinaldi, C. A., Razavi, R., & Smith, N. P. (2010) · Cardiovascular Research · doi:10.1093/cvr/cvq318 · Cited by 155 · see citing works

Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation

Augustin, C. M., Neic, A., Liebmann, M., Prassl, A. J., Niederer, S., Haase, G., & Plank, G. (2015) · Journal of Computational Physics · doi:10.1016/j.jcp.2015.10.045 · Cited by 154 · see citing works

Left Atrial Systolic and Diastolic Dysfunction in Heart Failure with Normal Left Ventricular Ejection Fraction

Morris, D. A., Gailani, M., Pérez, A. V., Blaschke, F., Dietz, R., Haverkamp, W., & Özcelik, C. (2011) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2011.02.004 · Cited by 151 · see citing works

Nearly isochoric elastic deformations: Application to rubberlike solids

Ogden, R. W. (1978) · Journal of the Mechanics and Physics of Solids · doi:10.1016/0022-5096(78)90012-1 · Cited by 146 · see citing works

Left Atrial Wall Thickness Variability Measured by CT Scans in Patients Undergoing Pulmonary Vein Isolation

Beinart, R., Abbara, S., Blum, A. R., Ferencik, M., Heist, E. K., Ruskin, J. N., & MANSOUR, M. C. (2011) · Journal of Cardiovascular Electrophysiology · doi:10.1111/j.1540-8167.2011.02100.x · Cited by 134 · see citing works

The importance of the pericardium for cardiac biomechanics: from physiology to computational modeling

Pfaller, M. R., Hörmann, J. M., Weigl, M., Nagler, A., Chabiniok, R., Bertoglio, C., & Wall, W. A. (2018) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-018-1098-4 · Cited by 133 · see citing works

Universal ventricular coordinates: A generic framework for describing position within the heart and transferring data

Bayer, J. D., Prassl, A. J., Pashaei, A., Gómez, J. F., Frontera, A., Neic, A., Plank, G., & Vigmond, E. J. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.01.005 · Cited by 131 · see citing works

Simulating Human Cardiac Electrophysiology on Clinical Time-Scales

Niederer, S., Mitchell, L., Smith, N. P., & Plank, G. (2011) · Frontiers in Physiology · doi:10.3389/fphys.2011.00014 · Cited by 128 · see citing works

Image‐based models of cardiac structure in health and disease

Vadakkumpadan, F., Arevalo, H., Prassl, A. J., Chen, J., Kickinger, F., Kohl, P. K., Plank, G., & Trayanova, N. A. (2010) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.76 · Cited by 124 · see citing works

Left Atrial Volume and Geometry in Healthy Aging

Aurigemma, G. P., Gottdiener, J. S., Arnold, A. M., Chinali, M., Hill, J. C., & Kitzman, D. W. (2009) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.108.826602 · Cited by 121 · see citing works

Generating Purkinje networks in the human heart

Costabal, F. S., Hurtado, D. E., & Ellen Kuhl, A. (2015) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2015.12.025 · Cited by 121 · see citing works

Left Ventricular Diameter and Risk Stratification for Sudden Cardiac Death

Narayanan, K., Reinier, K., Teodorescu, C., Uy‐Evanado, A., Aleong, R. G., Chugh, H. S., Nichols, G. A., Gunson, K., London, B., Jui, J., et al. (2014) · Journal of the American Heart Association · doi:10.1161/jaha.114.001193 · Cited by 120 · see citing works

Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour

Land, S., Gurev, V., Arens, S., Augustin, C. M., Baron, L., Blake, R., Bradley, C. P., Castro, S., Crozier, A., Favino, M., et al. (2015) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2015.0641 · Cited by 120 · see citing works

Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes

Roney, C. H., Pashaei, A., Meo, M., Dubois, R., Boyle, P. M., Trayanova, N. A., Cochet, H., Niederer, S., & Vigmond, E. J. (2019) · Medical Image Analysis · doi:10.1016/j.media.2019.04.004 · Cited by 120 · see citing works

Reference right atrial dimensions and volume estimation by steady state free precession cardiovascular magnetic resonance

Maceira, A. M., Cosı́n-Sales, J., Roughton, M., Prasad, S. K., & Pennell, D. J. (2013) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/1532-429x-15-29 · Cited by 112 · see citing works

Detailed Anatomical and Electrophysiological Models of Human Atria and Torso for the Simulation of Atrial Activation

Ferrer-Albero, A., Sebastián, R., Sánchez‐Quintana, D., Matas, J. F. R., Godoy, E. J., Martínez-Mateu, L., & Sáiz, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0141573 · Cited by 110 · see citing works

Parallel imaging with nonlinear reconstruction using variational penalties

Knöll, F., Clason, C., Bredies, K., Uecker, M., & Stollberger, R. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22964 · Cited by 104 · see citing works

Cardiac Purkinje cells

Boyden, P. A., Hirose, M., & Dun, W. (2009) · Heart Rhythm · doi:10.1016/j.hrthm.2009.09.017 · Cited by 100 · see citing works

Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium

Strocchi, M., Gsell, M. A. F., Augustin, C. M., Razeghi, O., Roney, C. H., Prassl, A. J., Vigmond, E. J., Behar, J. M., Gould, J., Rinaldi, C. A., et al. (2020) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2020.109645 · Cited by 100 · see citing works

Left ventricular shape variation in asymptomatic populations: the multi-ethnic study of atherosclerosis

Medrano-Gracia, P., Cowan, B. R., Ambale-Venkatesh, B., Bluemke, D. A., Eng, J., Finn, J. P., Fonseca, C. G., Lima, J. A., Suinesiaputra, A., & Young, A. A. (2014) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-014-0056-2 · Cited by 98 · see citing works

Simulation of the contraction of the ventricles in a human heart model including atria and pericardium

Fritz, T., Wieners, C., Seemann, G., Steen, H., & Dössel, O. (2013) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-013-0523-y · Cited by 95 · see citing works

Echocardiographic parameters of left ventricular size and function as predictors of symptomatic heart failure in patients with a left ventricular ejection fraction of 50-59% treated with anthracyclines

Mousavi, N., Tan, T. C., Ali, M. U., Halpern, E. F., Wang, L., & Scherrer‐Crosbie, M. (2015) · European Heart Journal - Cardiovascular Imaging · doi:10.1093/ehjci/jev113 · Cited by 95 · see citing works

A bilayer model of human atria: mathematical background, construction, and assessment

Labarthe, S., Bayer, J. D., Coudière, Y., Henry, J., Cochet, H., Jaı̈s, P., & Vigmond, E. J. (2014) · EP Europace · doi:10.1093/europace/euu256 · 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

Effect of trabeculae and papillary muscles on the hemodynamics of the left ventricle

Vedula, V., Seo, J. H., Lardo, A. C., & Mittal, R. (2015) · Theoretical and Computational Fluid Dynamics · doi:10.1007/s00162-015-0349-6 · Cited by 90 · see citing works

Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart

Kayvanpour, E., Mansi, T., Sedaghat‐Hamedani, F., Amr, A., Neumann, D., Georgescu, B., Seegerer, P., Kamen, A., Haas, J., Frese, K., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134869 · Cited by 87 · see citing works

Echocardiographic measurement of right ventricular wall thickness. A new application of subxiphoid echocardiography.

Matsukubo, H., Matsuura, T., Endo, N., Asayama, J., & WATANABE, T. (1977) · Circulation · doi:10.1161/01.cir.56.2.278 · Cited by 85 · see citing works

Quantification of Full Left Ventricular Metrics via Deep Regression Learning With Contour-Guidance

Wang, W., Wang, Y., Wu, Y., Lin, T., Li, S., & Chen, B. (2019) · IEEE Access · doi:10.1109/access.2019.2907564 · Cited by 82 · see citing works

Long-term benefits of biventricular pacing in congestive heart failure: results from the MUltisite STimulation in cardiomyopathy (MUSTIC) study

Linde, C., Leclercq, C., & Rex, S. (2002) · ACC Current Journal Review · doi:10.1016/s1062-1458(02)00962-5 · Cited by 79 · see citing works

Modeling our understanding of the His-Purkinje system

Vigmond, E. J., & Stuyvers, B. D. M. Y. (2015) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2015.12.013 · Cited by 74 · see citing works

Construction of a Statistical Model for Cardiac Motion Analysis Using Nonrigid Image Registration

Chandrashekara, R., Rao, A. W., Sanchez-Ortiz, G. I., Mohiaddin, R. H., & Rueckert, D. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-45087-0_50 · Cited by 73 · 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

A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities

Duchateau, N., Craene, M. D., Piella, G., Silva, E., Doltra, A., Sitges, M., Bijnens, B. H., & Frangi, A. F. (2011) · Medical Image Analysis · doi:10.1016/j.media.2010.12.006 · Cited by 71 · see citing works

Personalized computational modeling of left atrial geometry and transmural myofiber architecture

Fastl, T. E., Tobon‐Gomez, C., Crozier, A., Whitaker, J., Rajani, R., McCarthy, K. P., Sánchez‐Quintana, D., Ho, S. Y., O'Neill, M. D., Plank, G., et al. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.04.001 · Cited by 67 · see citing works

Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling

Crozier, A., Augustin, C. M., Neic, A., Prassl, A. J., Höller, M., Fastl, T. E., Hennemuth, A., Bredies, K., Kühne, T., Bishop, M. J., et al. (2015) · Annals of Biomedical Engineering · doi:10.1007/s10439-015-1474-5 · Cited by 65 · see citing works

An automatic service for the personalization of ventricular cardiac meshes

Lamata, P., Sinclair, M., Kerfoot, E., Lee, A., Crozier, A., Blazevic, B., Land, S., Lewandowski, A. J., Barber, D. C., Niederer, S., et al. (2013) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.1023 · Cited by 60 · see citing works

Intra- and interventricular asynchrony of electromechanics in the ventricularly paced heart

Kerckhoffs, R. C. P., Bovendeerd, P. H. M., Prinzen, F. W., Smits, K. C., & Arts, T. G. J. (2003) · Journal of Engineering Mathematics · doi:10.1023/b:engi.0000007972.73874.da · Cited by 59 · see citing works

Influence of atrial contraction dynamics on cardiac function

Land, S., & Niederer, S. (2017) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.2931 · Cited by 56 · see citing works

A Fast Iterative Method for Solving the Eikonal Equation on Tetrahedral Domains

Fu, Z., Kirby, R. M., & Whitaker, R. (2013) · SIAM Journal on Scientific Computing · doi:10.1137/120881956 · Cited by 54 · see citing works

The Importance of Purkinje Activation in Long Duration Ventricular Fibrillation

Huang, J. Y., Dosdall, D. J., Cheng, K., Li, L., Rogers, J. M., & Ideker, R. E. (2014) · Journal of the American Heart Association · doi:10.1161/jaha.113.000495 · Cited by 53 · see citing works

Electrical and Mechanical Ventricular Activation During Left Bundle Branch Block and Resynchronization

Strik, M., Regoli, F. D., Auricchio, A., & Prinzen, F. W. (2012) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-012-9351-1 · Cited by 52 · see citing works

The relative role of patient physiology and device optimisation in cardiac resynchronisation therapy: A computational modelling study

Crozier, A., Blazevic, B., Lamata, P., Plank, G., Ginks, M., Duckett, S. G., Sohal, M., Shetty, A., Rinaldi, C. A., Razavi, R., et al. (2015) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2015.10.026 · Cited by 49 · see citing works

Multi-scale, tailor-made heart simulation can predict the effect of cardiac resynchronization therapy

Okada, J., Washio, T., Nakagawa, M., WATANABE, M., Kadooka, Y., Kariya, T., Yamashita, H., Yamada, Y., Momomura, S., Nagai, R., et al. (2017) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2017.05.006 · Cited by 48 · see citing works

Variability in pulmonary vein electrophysiology and fibrosis determines arrhythmia susceptibility and dynamics

Roney, C. H., Bayer, J. D., Cochet, H., Meo, M., Dubois, R., Jaı̈s, P., & Vigmond, E. J. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006166 · Cited by 48 · see citing works

Electrocardiogram phenotypes in hypertrophic cardiomyopathy caused by distinct mechanisms: apico-basal repolarization gradients vs. Purkinje-myocardial coupling abnormalities

Lyon, A., Bueno‐Orovio, A., Zacur, E., Ariga, R., Grau, V., Neubauer, S., Watkins, H. C., Rodríguez, B., & Mincholé, A. (2018) · EP Europace · doi:10.1093/europace/euy226 · Cited by 48 · see citing works

Patient-specific modeling of left ventricular electromechanics as a driver for haemodynamic analysis

Augustin, C. M., Crozier, A., Neic, A., Prassl, A. J., Karabelas, E., da Silva, T. F., Fernandes, J. F., Campos, F. O., Kühne, T., & Plank, G. (2016) · EP Europace · doi:10.1093/europace/euw369 · Cited by 47 · see citing works

Left Ventricular Trabeculations Decrease the Wall Shear Stress and Increase the Intra-Ventricular Pressure Drop in CFD Simulations

Sacco, F., Paun, B., Lehmkuhl, O., Iles, T. L., Iaizzo, P. A., Houzeaux, G., Vázquez, M., Butakoff, C., & Aguado‐Sierra, J. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00458 · Cited by 46 · see citing works

The role of fine‐scale anatomical structure in the dynamics of reentry in computational models of the rabbit ventricles

Bishop, M. J., & Plank, G. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2012.229062 · Cited by 45 · see citing works

A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data

Lee, A., Nguyên, U. C., Razeghi, O., Gould, J., Sidhu, B. S., Sieniewicz, B., Behar, J. M., Mafi-Rad, M., Plank, G., Prinzen, F. W., et al. (2019) · Medical Image Analysis · doi:10.1016/j.media.2019.06.017 · Cited by 44 · see citing works

Improved identifiability of myocardial material parameters by an energy-based cost function

Nasopoulou, A., Shetty, A., Lee, J., Nordsletten, D., Rinaldi, C. A., Lamata, P., & Niederer, S. (2017) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-016-0865-3 · Cited by 40 · see citing works

Mechanical discoordination increases continuously after the onset of left bundle branch block despite constant electrical dyssynchrony in a computational model of cardiac electromechanics and growth

Kerckhoffs, R. C. P., Omens, J. H., & McCulloch, A. D. (2012) · EP Europace · doi:10.1093/europace/eus274 · Cited by 38 · see citing works

Comparison of Rule-Based and DTMRI-Derived Fibre Architecture in a Whole Rat Ventricular Computational Model

Bishop, 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

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

Tobon‐Gomez, C., Duchateau, N., Sebastián, R., Marchesseau, S., Cámara, Ó., Donal, E., Craene, M. D., Pashaei, A., Relan, J., Steghofer, M., et al. (2013) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-013-1044-7 · Cited by 34 · see citing works

Mean Thoracic Aortic Wall Thickness Determination by Cine MRI with Steady-State Free Precession

Mensel, B., Kühn, J., Schneider, T., Quadrat, A., & Hegenscheid, K. (2013) · Academic Radiology · doi:10.1016/j.acra.2013.03.014 · Cited by 33 · see citing works

Imaging technologies for cardiac fiber and heart failure: a review

Watson, S. R., Dormer, J. D., & Fei, B. (2018) · Heart Failure Reviews · doi:10.1007/s10741-018-9684-1 · Cited by 33 · see citing works

Assessment of wall stresses and mechanical heart power in the left ventricle: Finite element modeling versus Laplace analysis

Gsell, M. A. F., Augustin, C. M., Prassl, A. J., Karabelas, E., Fernandes, J. F., Kelm, M., Goubergrits, L., Kühne, T., & Plank, G. (2018) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.3147 · Cited by 31 · see citing works

Validation of an arterial constitutive model accounting for collagen content and crosslinking

Tian, L., Wang, Z., Liu, Y., Eickhoff, J. C., Eliceiri, K. W., & Chesler, N. C. (2015) · Acta Biomaterialia · doi:10.1016/j.actbio.2015.11.058 · Cited by 29 · see citing works

In vivo porcine left atrial wall stress: Computational model

Martino, E. S. D., Bellini, C. M., & SCHWARTZMAN, D. S. (2011) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2011.08.023 · Cited by 25 · see citing works

Quality Metrics for High Order Meshes: Analysis of the Mechanical Simulation of the Heart Beat

Lamata, P., Roy, I., Blazevic, B., Crozier, A., Land, S., Niederer, S., Hose, D. R., & Smith, N. P. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2231094 · Cited by 23 · see citing works

Right atrial volume by cardiovascular magnetic resonance predicts mortality in patients with heart failure with reduced ejection fraction

Ivanov, A. V., Mohamed, A., Asfour, A. M. S., Ho, J., Khan, S., Chenn, O., Klem, I., Ramasubbu, K., Brener, S. J., & Heitner, J. F. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173245 · Cited by 21 · see citing works

Orthogonal decomposition of left ventricular remodeling in myocardial infarction

Zhang, X., Medrano−Gracia, P., Ambale‐Venkatesh, B., Bluemke, D. A., Cowan, B. R., Finn, J. P., Kadish, A. H., Lee, D. C., Lima, J. A. C., Young, A. A., et al. (2017) · GigaScience · doi:10.1093/gigascience/gix005 · Cited by 17 · see citing works

Changes in the spatial distribution of the Purkinje network after acute myocardial infarction in the pig

García-Bustos, V., Sebastián, R., Izquierdo, M., Ríos‐Navarro, C., Bodı́, V., Chorro, F. J., & Ruiz‐Saurí, A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0212096 · Cited by 17 · see citing works

Classification of left ventricular size: diameter or volume with contrast echocardiography?

Gibson, P. H., Becher, H. H., & Choy, J. B. (2014) · Open Heart · doi:10.1136/openhrt-2014-000147 · Cited by 16 · see citing works

A framework for biomechanics simulations using four-chamber cardiac models

Jafari, A., Pszczolkowski, E., & Krishnamurthy, A. (2019) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2019.05.019 · Cited by 14 · see citing works

Improvement of Right Ventricular Hemodynamics with Left Ventricular Endocardial Pacing during Cardiac Resynchronization Therapy

Hyde, E., Behar, J. M., Crozier, A., Claridge, S., Jackson, T., Sohal, M., Gill, J. S., O'Neill, M. D., Razavi, R., Niederer, S., et al. (2016) · Pacing and Clinical Electrophysiology · doi:10.1111/pace.12854 · Cited by 12 · see citing works

Distributed Data Management Service for VPH Applications

Koulouzis, S., Belloum, A. S. Z., Bubak, M., Lamata, P., Nolte, D., Vasyunin, D., & de Laat, C. T. A. M. (2015) · IEEE Internet Computing · doi:10.1109/mic.2015.71 · Cited by 10 · see citing works

Continuous Spatio-temporal Atlases of the Asymptomatic and Infarcted Hearts

Medrano−Gracia, P., Cowan, B. R., Bluemke, D. A., Finn, J. P., Kadish, A. H., Lee, D. C., Lima, J. A. C., Suinesiaputra, A., & Young, A. A. (2014) · Lecture notes in computer science · doi:10.1007/978-3-642-54268-8_17 · Cited by 8 · see citing works

Cardiac resynchronization in chronic heart failure

Abraham, W. T., Fisher, W. G., & Smith, A. L. (2002) · ACC Current Journal Review · doi:10.1016/s1062-1458(02)00961-3 · Cited by 8 · see citing works

Identification of the material parameters of an aortic wall

Horný, L., Žitný, R., Chlup, H., & Macková, H. (2007) · Cited by 7 · see citing works

The Cardiac Atlas Project: Towards a Map of the Heart

Backhaus, M., Chung, J. D., Cowan, B. R., Fonseca, C. G., Tao, W., & Young, A. A. (2010) · Springer eBooks · doi:10.1007/978-1-4419-6691-9_7 · Cited by 4 · see citing works

Combined Cardiac Resynchronization and Implantable Cardioversion Defibrillation in Advanced Chronic Heart Failure

Young, J. B. (2003) · JAMA · doi:10.1001/jama.289.20.2685 · Cited by 4 · see citing works

A Publicly Available Virtual Cohort of Four-chamber Heart Meshes for Cardiac Electro-mechanics Simulations

Strocchi, M., Augustin, C. M., Gsell, M. A. F., Karabelas, E., Neic, A., Gillette, K. K., Razeghi, O., Prassl, A. J., Vigmond, E. J., Behar, J. M., et al. (2020) · Figshare · doi:10.5281/zenodo.3890033 · Cited by 2 · see citing works

Revealing Differences in Anatomical Remodelling of the Systemic Right Ventricle

Zacur, E., Wong, J., Razavi, R., Geva, T., Greil, G. F., & Lamata, P. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20309-6_12 · Cited by 1 · see citing works

Papillary muscles contraction does not change ventricular wall mechanics

Gurev, V., Korte, J. C., Hafez, O. M., Fattebert, J., Richards, D. F., & Rice, J. J. (2015) · Computing in cardiology · doi:10.1109/cic.2015.7408654 · Cited by 1 · see citing works

Role of Purkinje network in maintaining ventricular fibrillation before and after focal catheter ablation of Purkinje fibers in sheep left ventricle

Martinez, M. E., Walton, R. D., Haı̈ssaguerre, M., Hocini, M., & Bernus, O. (2018) · Archives of Cardiovascular Diseases Supplements · doi:10.1016/j.acvdsp.2018.02.036 · Cited by 1 · see citing works

The openCARP simulation environment for cardiac electrophysiology

Plank, G., Loewe, A., Neic, A., Augustin, C. M., Huang, Y.-L., Gsell, M. A. F., Karabelas, E., Nothstein, M., Prassl, A. J., Sánchez, J., et al. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.106223 · Cited by 261 · see citing works

Scaling digital twins from the artisanal to the industrial

Niederer, S., Sacks, M. S., Girolami, M., & Willcox, K. E. (2021) · Nature Computational Science · doi:10.1038/s43588-021-00072-5 · Cited by 231 · see citing works

Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation

Trayanova, N. A., Lyon, A., Shade, J. K., & Heijman, J. (2023) · Physiological Reviews · doi:10.1152/physrev.00017.2023 · Cited by 129 · see citing works

A comprehensive and biophysically detailed computational model of the whole human heart electromechanics

Fedele, M., Piersanti, R., Regazzoni, F., Salvador, M., Africa, P. C., Bucelli, M., Zingaro, A., Dede’, L., & Quarteroni, A. M. (2023) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2023.115983 · Cited by 126 · see citing works

Electro-Mechanical Whole-Heart Digital Twins: A Fully Coupled Multi-Physics Approach

Gerach, T., Schuler, S., Fröhlich, J., Lindner, L. P., Kovacheva, E. L., Moss, R., Wülfers, E. M., Seemann, G., Wieners, C., & Loewe, A. (2021) · Mathematics · doi:10.3390/math9111247 · Cited by 118 · see citing works

A cardiac electromechanical model coupled with a lumped-parameter model for closed-loop blood circulation

Regazzoni, F., Salvador, M., Africa, P. C., Fedele, M., Dede’, L., & Quarteroni, A. M. (2022) · Journal of Computational Physics · doi:10.1016/j.jcp.2022.111083 · Cited by 105 · see citing works

Linking statistical shape models and simulated function in the healthy adult human heart

Rodero, C., Strocchi, M., Marciniak, M., Longobardi, S., Whitaker, J., O'Neill, M. D., Gillette, K. K., Augustin, C. M., Plank, G., Vigmond, E. J., et al. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008851 · Cited by 96 · see citing works

Hemodynamic Modeling, Medical Imaging, and Machine Learning and Their Applications to Cardiovascular Interventions

Kadem, M., Garber, L., Abdelkhalek, M., Al-Khazraji, B. K., & Keshavarz-Motamed, Z. (2023) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2022.3142058 · Cited by 89 · see citing works

Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation

Gilbert, A., Marciniak, M., Rodero, C., Lamata, P., Samset, E., & McLeod, K. (2021) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2021.3051806 · Cited by 82 · see citing works

His-bundle and left bundle pacing with optimized atrioventricular delay achieve superior electrical synchrony over endocardial and epicardial pacing in left bundle branch block patients

Strocchi, M., Lee, A. W. C., Neic, A., Bouyssier, J., Gillette, K., Plank, G., Elliott, M. K., Gould, J., Behar, J. M., Sidhu, B., et al. (2020) · Heart Rhythm · doi:10.1016/j.hrthm.2020.06.028 · Cited by 73 · see citing works

A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices

Banerjee, A., Camps, J., Zacur, E., Andrews, C. M., Rudy, Y., Choudhury, R. P., Rodríguez, B., & Grau, V. (2021) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2020.0257 · Cited by 73 · see citing works

Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function

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

From bits to bedside: entering the age of digital twins in cardiac electrophysiology

Bhagirath, P., Strocchi, M., Bishop, M. J., Boyle, P. M., & Plank, G. (2024) · EP Europace · doi:10.1093/europace/euae295 · Cited by 65 · see citing works

3D–0D closed-loop model for the simulation of cardiac biventricular electromechanics

Piersanti, R., Regazzoni, F., Salvador, M., Corno, A. F., Dede’, L., Vergara, C., & Quarteroni, A. M. (2022) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2022.114607 · Cited by 61 · see citing works

Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators

Strocchi, M., Longobardi, S., Augustin, C. M., Gsell, M. A. F., Petras, A., Rinaldi, C. A., Vigmond, E. J., Plank, G., Oates, C. J., Wilkinson, R. D., et al. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011257 · Cited by 60 · see citing works

Credibility assessment of in silico clinical trials for medical devices

Pathmanathan, P., Aycock, K., Badal, A., Bighamian, R., Bodner, J., Craven, B. A., & Niederer, S. (2024) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1012289 · Cited by 62 · see citing works

Electro-fluid-mechanics of the heart

Verzicco, R. (2022) · Journal of Fluid Mechanics · doi:10.1017/jfm.2022.272 · Cited by 55 · see citing works

Learning Whole Heart Mesh Generation From Patient Images for Computational Simulations

Kong, F., & Shadden, S. C. (2022) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2022.3219284 · Cited by 52 · see citing works

Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia

Salvador, M., Fedele, M., Africa, P. C., Sung, E., Dede’, L., Prakosa, A., Chrispin, J., Trayanova, N. A., & Quarteroni, A. M. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104674 · Cited by 51 · see citing works

Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models

Karabelas, E., Longobardi, S., Fuchsberger, J., Razeghi, O., Rodero, C., Strocchi, M., Rajani, R., Haase, G., Plank, G., & Niederer, S. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3163428 · Cited by 50 · see citing works

Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization

Qian, S., Uğurlu, D., Fairweather, E., Toso, L. D., Deng, Y., Strocchi, M., Cicci, L., Jones, R. E., Zaidi, H. A., Prasad, S., et al. (2025) · Nature Cardiovascular Research · doi:10.1038/s44161-025-00650-0 · Cited by 47 · see citing works

Comparison of novel ventricular pacing strategies using an electro-mechanical simulation platform

Meiburg, R., Rijks, J. H. J., Beela, A. S., Bressi, E., Grieco, D., Delhaas, T., LUERMANS, J. G. L. M., Prinzen, F. W., Vernooy, K., & Lumens, J. (2023) · EP Europace · doi:10.1093/europace/euad144 · Cited by 46 · see citing works

Credibility Assessment of Patient-Specific Computational Modeling using Patient-Specific Cardiac Modeling as an Exemplar

Galappaththige, S., Gray, R. A., Costa, C. M., Niederer, S., & Pathmanathan, P. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010541 · Cited by 45 · see citing works

Open Knee(s): A Free and Open Source Library of Specimen-Specific Models and Related Digital Assets for Finite Element Analysis of the Knee Joint

Chokhandre, S. K., Schwartz, A., Klonowski, E., Landis, B., & Erdemir, A. (2022) · Annals of Biomedical Engineering · doi:10.1007/s10439-022-03074-0 · Cited by 44 · see citing works

A personalized real-time virtual model of whole heart electrophysiology

Gillette, K. K., Gsell, M. A. F., Strocchi, M., Grandits, T., Neic, A., Manninger, M., Scherr, D., Roney, C. H., Prassl, A. J., Augustin, C. M., et al. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.907190 · Cited by 41 · see citing works

Robust and efficient fixed-point algorithm for the inverse elastostatic problem to identify myocardial passive material parameters and the unloaded reference configuration

Marx, L., Niestrawska, J. A., Gsell, M. A. F., Caforio, F., Plank, G., & Augustin, C. M. (2022) · Journal of Computational Physics · doi:10.1016/j.jcp.2022.111266 · Cited by 48 · see citing works

Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

Salvador, M., Strocchi, M., Regazzoni, F., Augustin, C. M., Dede’, L., Niederer, S., & Quarteroni, A. M. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01084-x · Cited by 39 · see citing works

POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium

Fresca, S., Manzoni, A., Dede’, L., & Quarteroni, A. M. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.679076 · Cited by 39 · see citing works

Fast and robust parameter estimation with uncertainty quantification for the cardiac function

Salvador, M., Regazzoni, F., Dede’, L., & Quarteroni, A. M. (2023) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2023.107402 · 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

Effect of scar and His–Purkinje and myocardium conduction on response to conduction system pacing

Strocchi, M., Gillette, K., Neic, A., Elliott, M. K., Wijesuriya, N., Mehta, V., Vigmond, E. J., Plank, G., Rinaldi, C. A., & Niederer, S. A. (2023) · Journal of Cardiovascular Electrophysiology · doi:10.1111/jce.15847 · Cited by 35 · see citing works

A systematic review of cardiac in-silico clinical trials

Rodero, C., Baptiste, T. M. G., Barrows, R. K., Keramati, H., Sillett, C., Strocchi, M., Lamata, P., & Niederer, S. (2023) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/acdc71 · Cited by 29 · see citing works

lifex-fiber: an open tool for myofibers generation in cardiac computational models

Africa, P. C., Piersanti, R., Fedele, M., Dede’, L., & Quarteroni, A. M. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05260-w · Cited by 28 · see citing works

Digital twinning of cardiac electrophysiology for congenital heart disease

Salvador, M., Kong, F., Peirlinck, M., Parker, D. W., Chubb, H., Dubin, A. M., & Marsden, A. L. (2024) · Journal of The Royal Society Interface · doi:10.1098/rsif.2023.0729 · Cited by 29 · see citing works

A Fully-Coupled Electro-Mechanical Whole-Heart Computational Model: Influence of Cardiac Contraction on the ECG

Moss, R., Wülfers, E. M., Schuler, S., Loewe, A., & Seemann, G. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.778872 · Cited by 30 · see citing works

MedalCare-XL: 16,900 healthy and pathological synthetic 12 lead ECGs from electrophysiological simulations

Gillette, K. K., Gsell, M. A. F., Nagel, C., Bender, J., Winkler, B., Williams, S. E., Bär, M., Schaeffter, T., Dössel, O., Plank, G., et al. (2023) · Scientific Data · doi:10.1038/s41597-023-02416-4 · Cited by 26 · see citing works

Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways

Rodero, C., Baptiste, T. M. G., Barrows, R. K., Lewalle, A., Niederer, S., & Strocchi, M. (2023) · Frontiers of Physics · doi:10.3389/fphy.2023.1306210 · Cited by 22 · see citing works

Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey

Li, L., Camps, J., Rodríguez, B., & Grau, V. (2024) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2024.3486439 · Cited by 25 · see citing works

A matrix–free high–order solver for the numerical solution of cardiac electrophysiology

Africa, P. C., Salvador, M., Gervasio, P., Dede’, L., & Quarteroni, A. M. (2023) · Journal of Computational Physics · doi:10.1016/j.jcp.2023.111984 · Cited by 24 · see citing works

Digital Twin Models in Atrial Fibrillation: Charting the Future of Precision Therapy?

Karakasis, P., Antoniadis, A. P., Theofilis, P., Vlachakis, P. K., Milaras, N., Patoulias, D., Karamitsos, T. D., & Fragakis, N. (2025) · Journal of Personalized Medicine · doi:10.3390/jpm15060256 · Cited by 21 · see citing works

High-fidelity model of the human heart: An immersed boundary implementation

Viola, F., Corso, G. D., & Verzicco, R. (2023) · Physical Review Fluids · doi:10.1103/physrevfluids.8.100502 · Cited by 21 · see citing works

Transmural Distribution of Coronary Perfusion and Myocardial Work Density Due to Alterations in Ventricular Loading, Geometry and Contractility

Fan, L., Namani, R., Choy, J. S., Kassab, G. S., & Lee, L. C. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.744855 · Cited by 20 · see citing works

Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century

Loewe, A., Hunter, P. J., & Kohl, P. K. (2025) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2023.0384 · Cited by 19 · see citing works

Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants

Uğurlu, D., Qian, S., Fairweather, E., Mauger, C., Ruijsink, B., Toso, L. D., Deng, Y., Strocchi, M., Razavi, R., Young, A. A., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0327158 · Cited by 18 · see citing works

An efficient isogeometric collocation approach to cardiac electrophysiology

Torre, M., Morganti, S., Nitti, A., Tullio, M. D. D., Pasqualini, F. S., & Reali, A. (2022) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2022.114782 · Cited by 18 · see citing works

The role of computational methods in cardiovascular medicine: a narrative review

Fumagalli, I., Pagani, S., Vergara, C., Dede’, L., Adebo, D. A., Greco, M. D., Frontera, A., Luciani, G. B., Pontone, G., Scrofani, R., et al. (2024) · Translational Pediatrics · doi:10.21037/tp-23-184 · Cited by 17 · see citing works

Comparison between conduction system pacing and cardiac resynchronization therapy in right bundle branch block patients

Strocchi, M., Gillette, K., Neic, A., Elliott, M. K., Wijesuriya, N., Mehta, V., Vigmond, E. J., Plank, G., Rinaldi, C. A., & Niederer, S. A. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.1011566 · Cited by 16 · see citing works

A fast cardiac electromechanics model coupling the Eikonal and the nonlinear mechanics equations

Stella, S., Regazzoni, F., Vergara, C., Dede’, L., & Quarteroni, A. M. (2022) · Mathematical Models and Methods in Applied Sciences · doi:10.1142/s021820252250035x · Cited by 16 · see citing works

An integrated heart–torso electromechanical model for the simulation of electrophysiological outputs accounting for myocardial deformation

Zappon, E., Salvador, M., Piersanti, R., Regazzoni, F., Dede’, L., & Quarteroni, A. M. (2024) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2024.117077 · Cited by 14 · see citing works

Branched Latent Neural Maps

Salvador, M., & Marsden, A. L. (2023) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2023.116499 · Cited by 13 · see citing works

A coupling strategy for a first 3D-1D model of the cardiovascular system to study the effects of pulse wave propagation on cardiac function

Caforio, F., Augustin, C. M., Alastruey, J., Gsell, M. A. F., & Plank, G. (2022) · Computational Mechanics · doi:10.1007/s00466-022-02206-6 · Cited by 12 · see citing works

The Effect of Ventricular Myofibre Orientation on Atrial Dynamics

Strocchi, M., Augustin, C. M., Gsell, M. A. F., Karabelas, E., Neic, A., Gillette, K. K., Roney, C. H., Razeghi, O., Behar, J. M., Rinaldi, C. A., et al. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-78710-3_63 · Cited by 11 · see citing works

Computational Modelling Enabling In Silico Trials for Cardiac Physiologic Pacing

Strocchi, M., Wijesuriya, N., Mehta, V. S., de Vere, F., Rinaldi, C. A., & Niederer, S. (2023) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-023-10453-y · Cited by 10 · see citing works

Personalized biomechanical insights in atrial fibrillation: opportunities & challenges

Telle, Å., Bargellini, C., Chahine, Y., del Álamo, J. C., AKOUM, N. W., & Boyle, P. M. (2023) · Expert Review of Cardiovascular Therapy · doi:10.1080/14779072.2023.2273896 · Cited by 10 · see citing works

An in silico guide for ventriculo-ventricular delay programming for left bundle branch-optimized cardiac resynchronization therapy

Strocchi, M., Samways, J., Naraen, A., Ali, N., Shun-Shin, M. J., Gillette, K. K., Rinaldi, C. A., Arnold, A. D., Plank, G., Vigmond, E. J., et al. (2025) · EP Europace · doi:10.1093/europace/euaf089 · Cited by 9 · see citing works

State-of-the-art and tomorrow’s challenges and opportunities in constitutive modeling of soft biological tissues with a focus on arterial, cardiac and brain biomechanics

Avril, S., Goriely, A., Holzapfel, G. A., Ellen Kuhl, A., Nordsletten, D., & Ogden, R. W. (2026) · Acta Biomaterialia · doi:10.1016/j.actbio.2026.02.022 · Cited by 9 · see citing works

Impact of anatomical reverse remodelling in the design of optimal quadripolar pacing leads: A computational study

Rodero, C., Strocchi, M., Lee, A., Rinaldi, C. A., Vigmond, E. J., Plank, G., Lamata, P., & Niederer, S. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.105073 · Cited by 9 · see citing works

Leadless biventricular left bundle and endocardial lateral wall pacing versus left bundle only pacing in left bundle branch block patients

Strocchi, M., Wijesuriya, N., Elliott, M. K., Gillette, K., Neic, A., Mehta, V., Vigmond, E. J., Plank, G., Rinaldi, C. A., & Niederer, S. A. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.1049214 · Cited by 8 · see citing works

ForCEPSS—A framework for cardiac electrophysiology simulations standardization

Gsell, M. A. F., Neic, A., Bishop, M. J., Gillette, K. K., Prassl, A. J., Augustin, C. M., Vigmond, E. J., & Plank, G. (2024) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2024.108189 · Cited by 8 · see citing works

Fast interactive simulations of cardiac electrical activity in anatomically accurate heart structures by compressing sparse uniform cartesian grids

Kaboudian, A., Gray, R. A., Uzelac, I., Cherry, E. M., & Fenton, F. H. (2024) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2024.108456 · Cited by 7 · see citing works

Additional coils mitigate elevated defibrillation threshold in right-sided implantable cardioverter defibrillator generator placement: a simulation study

Qian, S., Monaci, S., Costa, C. M., Campos, F. O., Gemmell, P. M., Zaidi, H. A., Rajani, R., Whitaker, J., Rinaldi, C. A., & Bishop, M. J. (2023) · EP Europace · doi:10.1093/europace/euad146 · Cited by 7 · see citing works

How synergy between mechanistic and statistical models is impacting research in atrial fibrillation

Bai, J., Lu, Y., Wang, H., & Zhao, J. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.957604 · Cited by 7 · see citing works

Mathematical modeling of active contraction of the human cardiac myocyte: A review

Asiri, F., Siddiqui, M. I. H., Ali, M. A., Alam, T., Dobrotă, D., Chicea, R., & Dobrotă, R. D. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e20065 · Cited by 6 · see citing works

A highly parallel algorithm for simulating the elastodynamics of a patient-specific human heart with four chambers using a heterogeneous hyperelastic model

Jiang, Y., Yan, Z., Wang, X., Chen, R., & Cai, X. (2024) · Journal of Computational Physics · doi:10.1016/j.jcp.2024.113027 · Cited by 6 · see citing works

Digital twinning of cardiac electrophysiology for congenital heart diseasePreprint

Salvador, M., Kong, F., Peirlinck, M., Parker, D. W., Chubb, H., Dubin, A. M., & Marsden, A. L. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.27.568942 · Cited by 6 · see citing works

A computational study on the influence of antegrade accessory pathway location on the 12-lead electrocardiogram in Wolff–Parkinson–White syndrome

Gillette, K. K., Winkler, B., Kurath‐Koller, S., Scherr, D., Vigmond, E. J., Bär, M., & Plank, G. (2024) · EP Europace · doi:10.1093/europace/euae223 · Cited by 5 · see citing works

Developing cardiac biomechanical models beyond the clinic: modeling stressors of daily life

Lewalle, A., Baptiste, T. M. G., Barrows, R. K., Cicci, L., Corrado, C., Lee, A. W., Rodero, C., Solís-Lemus, J., Strocchi, M., & Niederer, S. (2025) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-025-01982-3 · Cited by 7 · see citing works

A smoothed boundary bidomain model for cardiac simulations in anatomically detailed geometries

Biasi, N., Seghetti, P., Mercati, M., & Tognetti, A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0286577 · Cited by 5 · see citing works

Enhancing Medical Imaging with Computational Modeling for Aortic Valve Disease Intervention Planning

Khodaei, S., & Keshavarz‐Motamed, Z. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-42112-9_2 · Cited by 5 · see citing works

A Semi-automatic Pipeline for Generation of Large Cohorts of Four-Chamber Heart Meshes

Strocchi, M., Rodero, C., Roney, C. H., Costa, C. M., Plank, G., Lamata, P., & Niederer, S. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-3527-8_7 · Cited by 4 · see citing works

Population-Based Computational Simulations Elucidate Mechanisms of Focal Arrhythmia Following Stem Cell Injection Chelsea E Gibbs and Patrick M Boyle

Gibbs, C. E., & Boyle, P. M. (2024) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2025.04.010 · Cited by 4 · see citing works

Integrating Imaging and Invasive Pressure Data into a Multiscale Whole-Heart Model

Strocchi, M., Augustin, C. M., Gsell, M. A. F., Rinaldi, C. A., Vigmond, E. J., Plank, G., Oates, C. J., Wilkinson, R. D., & Niederer, S. (2025) · Journal of Biomechanical Engineering · doi:10.1115/1.4069497 · Cited by 4 · see citing works

Cardiac remodelling in type 2 diabetes: Pathophysiological mechanisms and opportunities for multiscale computational modelling and simulation

Bertrand, A., Tomek, J., & Rodríguez, B. (2026) · The Journal of Physiology · doi:10.1113/jp287140 · 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

Personalized biventricular mechanics and sensitivity to model morphologyPreprint

Brown, A. L., Shi, L. M., Salvador, M., Kong, F., Ennis, D. B., Chen, I. Y., Vedula, V., & Marsden, A. L. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.11.693778 · Cited by 4 · see citing works

Rhythm control benefits left ventricular function compared with rate control in patients with atrial fibrillation: A computational study

Barrows, R. K., Augustin, C. M., Gsell, M. A. F., Roney, C. H., Solís-Lemus, J. A., Xu, H., Young, A. A., Rajani, R., Whitaker, J., Vigmond, E. J., et al. (2025) · Heart Rhythm O2 · doi:10.1016/j.hroo.2025.04.014 · Cited by 3 · see citing works

Computational modeling of post-myocardial infarction arrhythmias: Insights and predictions

Villar‐Valero, J., Gómez, J. F., Soto‐Iglesias, D., Penela, D., Berruezo, A., & Trénor, B. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.110894 · Cited by 3 · see citing works

Transesophageal Echocardiography Generation Using Anatomical Models

Oladokun, E., Abdulkareem, M., Šprem, J., & Grau, V. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-58171-7_5 · Cited by 3 · see citing works

An inner‐outer subcycling algorithm for parallel cardiac electrophysiology simulations

Laudenschlager, S., & Cai, X. (2022) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.3677 · Cited by 3 · see citing works

Automatic multi-view pose estimation in focused cardiac ultrasound

Freitas, J., Fonseca, J. G., Tonelli, A. C., Correia‐Pinto, J., Fonseca, J. C., & Queirós, S. (2024) · Medical Image Analysis · doi:10.1016/j.media.2024.103146 · Cited by 3 · see citing works

Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models

Baptiste, T. M. G., Rodero, C., Sillett, C., Strocchi, M., Lanyon, C. W., Augustin, C. M., Lee, A., Solís-Lemus, J. A., Roney, C. H., Ennis, D. B., et al. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013656 · Cited by 4 · see citing works

His Bundle Pacing but not Left Bundle Pacing Corrects Septal Flash in Left Bundle Branch Block Patients

Strocchi, M., Neic, A., Gsell, M. A. F., Augustin, C. M., Bouyssier, J., Gillette, K. K., Elliot, M., Gould, J., Behar, J. M., Sidhu, B. S., et al. (2020) · Computing in cardiology · doi:10.22489/cinc.2020.030 · Cited by 3 · see citing works

The Effect of Heart Rate and Atrial Contraction on Left Ventricular Function

Barrows, R. K., Strocchi, M., Augustin, C. M., Gsell, M. A. F., Roney, C. H., Solís-Lemus, J. A., Xu, H., Gillette, K. K., Rajani, R., Whitaker, J., et al. (2022) · Computing in cardiology · doi:10.22489/cinc.2022.212 · Cited by 3 · see citing works

Computer based method for identification of fibrotic scars from electrograms and local activation times on the epi- and endocardial surfaces of the ventricles

Okenov, A., Nezlobinsky, T. V., Zeppenfeld, K., Vandersickel, N., & Panfilov, A. V. (2024) · PLoS ONE · doi:10.1371/journal.pone.0300978 · Cited by 2 · see citing works

Analysis of the response of human iPSC-derived cardiomyocyte tissue to ICaL block. A combined in vitro and in silico approach

Dasí, A., Hernández‐Romero, I., Gómez, J. F., Climent, A. M., Ferrero, J. M., & Trénor, B. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104796 · Cited by 2 · see citing works

Electro-anatomical computational cardiology in humans and experimental animal models

Kharche, S., Mudathir, R., & McIntyre, C. W. (2022) · Translational Research in Anatomy · doi:10.1016/j.tria.2022.100162 · Cited by 2 · see citing works

Modeling Whole Heart Muscle Fibers in Cardiac Computational Models

Piersanti, R., Vergara, C., Dede’, L., & Quarteroni, A. M. (2022) · Vienna International Conference on Mathematical Modelling (MATHMOD) · doi:10.11128/arep.17.a17181 · Cited by 2 · see citing works

A Simulation Study of Premature Ventricular Contractions Based on a Comprehensive Human Ventricular Electrophysiological Model

Yang, Y., Yan, S., Gu, K., Wang, H., & Wu, X. (2024) · International Conference on Bioinformatics and Intelligent Computing (BIC) · doi:10.1145/3665689.3665720 · Cited by 1 · see citing works

Multi-scale Whole-Heart Electromechanics Modeling to Link Cellular, Tissue and Systemic Properties to Cardiac Biomarkers in the Diabetic Male and Female Heart

Strocchi, M., Barrows, R. K., Rodero, C., Solís-Lemus, J. A., Qian, S., Cicci, L., Qayyum, A., Uğurlu, D., Augustin, C. M., Gsell, M. A. F., et al. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-94559-5_20 · Cited by 1 · see citing works

Multi-agent Reasoning for Cardiovascular Imaging Phenotype Analysis

Zhang, W., Qiao, M., Zang, C., Niederer, S., Matthews, P. M., Bai, W., & Kainz, B. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-04927-8_41 · Cited by 1 · see citing works

Leading mechanisms of defibrillation: a computational approach to study differences between monophasic and biphasic waveforms

Frühwald, D., & Lilienkamp, T. (2026) · Nonlinear Dynamics · doi:10.1007/s11071-025-11992-6 · Cited by 1 · see citing works

Neural implicit heart coordinates: 3D cardiac shape reconstruction from sparse segmentations

Muffoletto, M., Hermida, U., Mauger, C., Suinesiaputra, A., Xu, Y., Burns, R., Pankewitz, L., McCulloch, A. D., Petersen, S. E., Rueckert, D., et al. (2026) · Medical Image Analysis · doi:10.1016/j.media.2026.104052 · Cited by 1 · see citing works

Personalized biventricular mechanics and sensitivity to model morphology

Brown, A. L., Shi, L., Salvador, M., Kong, F., Ennis, D. B., Chen, I. Y., Vedula, V., & Marsden, A. L. (2026) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-026-02127-w · Cited by 7 · see citing works

Period of Arrhythmia Anchored around an Infarction Scar in an Anatomical Model of the Human Ventricles

Mangileva, D., Konovalov, P., Dokuchaev, A., Solovyova, O. E., & Panfilov, A. V. (2021) · Mathematics · doi:10.3390/math9222911 · Cited by 1 · see citing works

Exploratory Simulation of Thrombosis in a Temporary LVAD Catheter Pump within a Virtual In-vivo Left Heart EnvironmentPreprint

Burgreen, G. W., Zhussupbekov, M., Rojano, R. M., & Antaki, J. F. (2023) · PubMed · doi:10.48550/arxiv.2312.04761 · Cited by 1 · see citing works

Museo Arqueológico Municipal "Alejandro Ramos Folqués", Elche

Fernández, R. R. (1987) · Dialnet (Universidad de la Rioja)

MATHMOD 2022 Discussion Contribution Volume

(2022) · doi:10.11128/arep.17

Optimal Transport-Based Volumetric Shape ClusteringPreprint

Effland, A., Rumpf, M., & Verhülsdonk, J. (2023) · Research Square · doi:10.21203/rs.3.rs-3097041/v1

Identification of the Arrhythmogenic Substrate in Brugada Syndrome: A Computational Study

Seghetti, P., Biasi, N., Mercati, M., Hartwig, V., Rossi, A., Laurino, M., & Tognetti, A. (2024) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-031-49068-2_52

Conclusion

Laurent, C. P. (2024) · doi:10.1002/9781394306596.ch10

A Semi-automatic Pipeline for Generation of Large Cohorts of Four-Chamber Heart Meshes

Strocchi, M., Rodero, C., Roney, C. H., Costa, C. M., Plank, G., Lamata, P., & Niederer, S. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-3527-8_7 · Cited by 4 · see citing works

Stochastic virtual heart model predictions

Bishop, M. J., & Plank, G. (2025) · Nature Cardiovascular Research · doi:10.1038/s44161-025-00641-1 · Cited by 9 · see citing works

Assessing the importance of sex and disease-specific anatomy in electrophysiology and mechanical simulations with a newly developed public virtual cohort of four-chamber heart models

Solís-Lemus, J. A., Barrows, R. K., Rodero, C., Strocchi, M., Montarello, N., Lahoti, N., Corrado, C., Qayyum, A., Rahmani, S., Roney, C. H., et al. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014325

Patient-Specific Left Ventricle Mesh Generation Using the Bull’s Eye of the Wall Thickness Measurements from Medical Images

Rodrigues, P. F., Schmal, T. R., Gomes, J. M., Rocha, B. M., & dos Santos, R. W. (2015) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-319-13117-7_101 · Cited by 2 · see citing works

Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models

Baptiste, T., Rodero, C., Sillett, C., Strocchi, M., Lanyon, C. W., Augustin, C. M., Lee, A., Solís-Lemus, J. A., Roney, C. H., Ennis, D. B., et al. (2025) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.14504005