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Gillette K, Gsell MAF, Strocchi M, Grandits T, Neic A, Manninger M, Scherr D, Roney CH, Prassl AJ, Augustin CM, Vigmond EJ, Plank G. A personalized real-time virtual model of whole heart electrophysiology. Front Physiol 2022;13:907190. [DOI: 10.3389/fphys.2022.907190] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
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Lange M, Kwan E, Dosdall DJ, Macleod RS, Bunch TJ, Ranjan R. Case report: Personalized computational model guided ablation for left atrial flutter. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.893752] [Reference Citation Analysis]
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Azzolin L, Eichenlaub M, Nagel C, Nairn D, Sanchez J, Unger L, Dössel O, Jadidi A, Loewe A. Personalized ablation vs. conventional ablation strategies to terminate atrial fibrillation and prevent recurrence. Europace 2023;25:211-22. [PMID: 35943361 DOI: 10.1093/europace/euac116] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
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Hustad KG, Cai X. Resource-Efficient Use of Modern Processor Architectures For Numerically Solving Cardiac Ionic Cell Models. Front Physiol 2022;13:904648. [DOI: 10.3389/fphys.2022.904648] [Reference Citation Analysis]
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Amsaleg A, Sánchez J, Mikut R, Loewe A. Characterization of the Pace-and-Drive Capacity of the Human Sinoatrial Node: a 3D in silico Study.. [DOI: 10.1101/2022.06.03.494644] [Reference Citation Analysis]
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Sánchez J, Loewe A. A Review of Healthy and Fibrotic Myocardium Microstructure Modeling and Corresponding Intracardiac Electrograms. Front Physiol 2022;13:908069. [DOI: 10.3389/fphys.2022.908069] [Reference Citation Analysis]
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Karabelas E, Gsell MA, Haase G, Plank G, Augustin CM. An accurate, robust, and efficient finite element framework with applications to anisotropic, nearly and fully incompressible elasticity. Computer Methods in Applied Mechanics and Engineering 2022;394:114887. [DOI: 10.1016/j.cma.2022.114887] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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Sutanto H, Heijman J. Integrative Computational Modeling of Cardiomyocyte Calcium Handling and Cardiac Arrhythmias: Current Status and Future Challenges. Cells 2022;11:1090. [DOI: 10.3390/cells11071090] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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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: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
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Azzolin L, Eichenlaub M, Nagel C, Nairn D, Sánchez J, Unger L, Dössel O, Jadidi A, Loewe A. AugmentA: Patient-specific Augmented Atrial model Generation Tool.. [DOI: 10.1101/2022.02.13.22270835] [Reference Citation Analysis]
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Tong L, Zhao C, Fu Z, Dong R, Wu Z, Wang Z, Zhang N, Wang X, Cao B, Sun Y, Zheng D, Xia L, Deng D. Preliminary Study: Learning the Impact of Simulation Time on Reentry Location and Morphology Induced by Personalized Cardiac Modeling. Front Physiol 2021;12:733500. [PMID: 35002750 DOI: 10.3389/fphys.2021.733500] [Reference Citation Analysis]
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Loewe A, Martínez Díaz P, Nagel C, Sánchez J. Cardiac Digital Twin Modeling. Innovative Treatment Strategies for Clinical Electrophysiology 2022. [DOI: 10.1007/978-981-19-6649-1_7] [Reference Citation Analysis]
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Maleckar MM, Myklebust L, Uv J, Florvaag PM, Strøm V, Glinge C, Jabbari R, Vejlstrup N, Engstrøm T, Ahtarovski K, Jespersen T, Tfelt-Hansen J, Naumova V, Arevalo H. Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients. Front Physiol 2021;12:745349. [PMID: 34819872 DOI: 10.3389/fphys.2021.745349] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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Sánchez J, Trenor B, Saiz J, Dössel O, Loewe A. Fibrotic Remodeling during Persistent Atrial Fibrillation: In Silico Investigation of the Role of Calcium for Human Atrial Myofibroblast Electrophysiology. Cells 2021;10:2852. [PMID: 34831076 DOI: 10.3390/cells10112852] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
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