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For: Niederer SA, Campbell KS, Campbell SG. A short history of the development of mathematical models of cardiac mechanics. J Mol Cell Cardiol 2019;127:11-9. [PMID: 30503754 DOI: 10.1016/j.yjmcc.2018.11.015] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Sharifi H, Mann CK, Wenk JF, Campbell KS. A multiscale model of the cardiovascular system that regulates arterial pressure via closed loop baroreflex control of chronotropism, cell-level contractility, and vascular tone. Biomech Model Mechanobiol. [DOI: 10.1007/s10237-022-01628-8] [Reference Citation Analysis]
2 Guan D, Gao H, Cai L, Luo X. A new active contraction model for the myocardium using a modified hill model. Computers in Biology and Medicine 2022;145:105417. [DOI: 10.1016/j.compbiomed.2022.105417] [Reference Citation Analysis]
3 David SA, Valentim CA, Debbouche A. Fractional Modeling Applied to the Dynamics of the Action Potential in Cardiac Tissue. Fractal Fract 2022;6:149. [DOI: 10.3390/fractalfract6030149] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Jung A, Gsell MAF, Augustin CM, Plank G. An Integrated Workflow for Building Digital Twins of Cardiac Electromechanics—A Multi-Fidelity Approach for Personalising Active Mechanics. Mathematics 2022;10:823. [DOI: 10.3390/math10050823] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
5 Quarteroni A, Dedè L, Regazzoni F. Modeling the cardiac electromechanical function: A mathematical journey. Bull Amer Math Soc . [DOI: 10.1090/bull/1738] [Reference Citation Analysis]
6 Lewalle A, Campbell KS, Campbell SG, Milburn GN, Niederer SA. Functional and structural differences between skinned and intact muscle preparations. J Gen Physiol 2022;154:e202112990. [PMID: 35045156 DOI: 10.1085/jgp.202112990] [Reference Citation Analysis]
7 Martonová D, Holz D, Seufert J, Duong MT, Alkassar M, Leyendecker S. Comparison of stress and stress–strain approaches for the active contraction in a rat cardiac cycle model. Journal of Biomechanics 2022. [DOI: 10.1016/j.jbiomech.2022.110980] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Emig R, Zgierski-Johnston CM, Timmermann V, Taberner AJ, Nash MP, Kohl P, Peyronnet R. Passive myocardial mechanical properties: meaning, measurement, models. Biophys Rev 2021;13:587-610. [PMID: 34765043 DOI: 10.1007/s12551-021-00838-1] [Reference Citation Analysis]
9 Regazzoni F, Dedè L, Quarteroni A. Active Force Generation in Cardiac Muscle Cells: Mathematical Modeling and Numerical Simulation of the Actin-Myosin Interaction. Vietnam J Math 2021;49:87-118. [PMID: 34722731 DOI: 10.1007/s10013-020-00433-z] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
10 Bai J, Lu Y, Zhu Y, Wang H, Yin D, Zhang H, Franco D, Zhao J. Understanding PITX2-Dependent Atrial Fibrillation Mechanisms through Computational Models. Int J Mol Sci 2021;22:7681. [PMID: 34299303 DOI: 10.3390/ijms22147681] [Reference Citation Analysis]
11 Rodrigues da Silva R, Baptista de Souza Filho O, Bassani JWM, Bassani RA. The ForceLAB simulator: Application to the comparison of current models of cardiomyocyte contraction. Comput Biol Med 2021;131:104240. [PMID: 33556894 DOI: 10.1016/j.compbiomed.2021.104240] [Reference Citation Analysis]
12 Nguyen TD, Kadri OE, Voronov RS. An Introductory Overview of Image-Based Computational Modeling in Personalized Cardiovascular Medicine. Front Bioeng Biotechnol 2020;8:529365. [PMID: 33102452 DOI: 10.3389/fbioe.2020.529365] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
13 Regazzoni F, Dedè L, Quarteroni A. Biophysically detailed mathematical models of multiscale cardiac active mechanics. PLoS Comput Biol 2020;16:e1008294. [PMID: 33027247 DOI: 10.1371/journal.pcbi.1008294] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
14 Longobardi S, Lewalle A, Coveney S, Sjaastad I, Espe EKS, Louch WE, Musante CJ, Sher A, Niederer SA. Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats. Philos Trans A Math Phys Eng Sci 2020;378:20190334. [PMID: 32448071 DOI: 10.1098/rsta.2019.0334] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
15 Whittaker DG, Clerx M, Lei CL, Christini DJ, Mirams GR. Calibration of ionic and cellular cardiac electrophysiology models. Wiley Interdiscip Rev Syst Biol Med 2020;12:e1482. [PMID: 32084308 DOI: 10.1002/wsbm.1482] [Cited by in Crossref: 16] [Cited by in F6Publishing: 17] [Article Influence: 8.0] [Reference Citation Analysis]
16 Izu LT, Kohl P, Boyden PA, Miura M, Banyasz T, Chiamvimonvat N, Trayanova N, Bers DM, Chen-Izu Y. Mechano-electric and mechano-chemo-transduction in cardiomyocytes. J Physiol 2020;598:1285-305. [PMID: 31789427 DOI: 10.1113/JP276494] [Cited by in Crossref: 12] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
17 Heling LWHJ, Geeves MA, Kad NM. MyBP-C: one protein to govern them all. J Muscle Res Cell Motil 2020;41:91-101. [PMID: 31960266 DOI: 10.1007/s10974-019-09567-1] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
18 Corrado C, Razeghi O, Roney C, Coveney S, Williams S, Sim I, O'Neill M, Wilkinson R, Oakley J, Clayton RH, Niederer S. Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions. Med Image Anal 2020;61:101626. [PMID: 32000114 DOI: 10.1016/j.media.2019.101626] [Cited by in Crossref: 14] [Cited by in F6Publishing: 9] [Article Influence: 4.7] [Reference Citation Analysis]
19 Aboelkassem Y, Powers JD, McCabe KJ, McCulloch AD. Multiscale Models of Cardiac Muscle Biophysics and Tissue Remodeling in Hypertrophic Cardiomyopathies. Curr Opin Biomed Eng 2019;11:35-44. [PMID: 31886450 DOI: 10.1016/j.cobme.2019.09.005] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]