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For: Piersanti R, Africa PC, Fedele M, Vergara C, Dedè L, Corno AF, Quarteroni A. Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations. Computer Methods in Applied Mechanics and Engineering 2021;373:113468. [DOI: 10.1016/j.cma.2020.113468] [Cited by in Crossref: 24] [Cited by in F6Publishing: 12] [Article Influence: 12.0] [Reference Citation Analysis]
Number Citing Articles
1 Bucelli M, Zingaro A, Africa PC, Fumagalli I, Dede' L, Quarteroni A. A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart. Int J Numer Method Biomed Eng 2022;:e3678. [PMID: 36579792 DOI: 10.1002/cnm.3678] [Reference Citation Analysis]
2 Africa PC. : A flexible, high performance library for the numerical solution of complex finite element problems. SoftwareX 2022;20:101252. [DOI: 10.1016/j.softx.2022.101252] [Reference Citation Analysis]
3 Mountris KA, Pueyo E. A meshless fragile points method for rule-based definition of myocardial fiber orientation. Computer Methods and Programs in Biomedicine 2022;226:107164. [DOI: 10.1016/j.cmpb.2022.107164] [Reference Citation Analysis]
4 Rossi S, Abdala L, Woodward A, Vavalle JP, Henriquez CS, Griffith BE. Rule-based definition of muscle bundles in patient-specific models of the left atrium. Front Physiol 2022;13:912947. [DOI: 10.3389/fphys.2022.912947] [Reference Citation Analysis]
5 Li Y. Research on big data analysis and processing system based on Spark platform. 2022 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) 2022. [DOI: 10.1109/mlise57402.2022.00059] [Reference Citation Analysis]
6 Ruiz Herrera C, Grandits T, Plank G, Perdikaris P, Sahli Costabal F, Pezzuto S. Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. Engineering with Computers 2022. [DOI: 10.1007/s00366-022-01709-3] [Reference Citation Analysis]
7 Tenderini R, Pagani S, Quarteroni A, Deparis S. PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology. SIAM J Sci Comput 2022;44:B605-39. [DOI: 10.1137/21m1438529] [Reference Citation Analysis]
8 Piersanti P. Asymptotic analysis of linearly elastic elliptic membrane shells subjected to an obstacle. Journal of Differential Equations 2022;320:114-42. [DOI: 10.1016/j.jde.2022.02.053] [Reference Citation Analysis]
9 Regazzoni F, Salvador M, Dede’ L, Quarteroni A. A machine learning method for real-time numerical simulations of cardiac electromechanics. Computer Methods in Applied Mechanics and Engineering 2022;393:114825. [DOI: 10.1016/j.cma.2022.114825] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
10 Piersanti R, Regazzoni F, Salvador M, Corno AF, Dede’ L, Vergara C, Quarteroni A. 3D–0D closed-loop model for the simulation of cardiac biventricular electromechanics. Computer Methods in Applied Mechanics and Engineering 2022;391:114607. [DOI: 10.1016/j.cma.2022.114607] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
11 Salvador M, Regazzoni F, Pagani S, Dede' L, Trayanova N, Quarteroni A. The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia. Computers in Biology and Medicine 2022;142:105203. [DOI: 10.1016/j.compbiomed.2021.105203] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
12 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]
13 Regazzoni F, Salvador M, Africa P, Fedele M, Dedè L, Quarteroni A. A cardiac electromechanical model coupled with a lumped-parameter model for closed-loop blood circulation. Journal of Computational Physics 2022. [DOI: 10.1016/j.jcp.2022.111083] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
14 Zingaro A, Fumagalli I, Dede L, Fedele M, Africa PC, Corno AF, Quarteroni A. . DCDS-S 2022;15:2391. [DOI: 10.3934/dcdss.2022052] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
15 Piersanti P. On the improved interior regularity of a boundary value problem modelling the displacement of a linearly elastic elliptic membrane shell subject to an obstacle. DCDS 2022;42:1011. [DOI: 10.3934/dcds.2021145] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Cicci L, Fresca S, Pagani S, Manzoni A, Quarteroni A. . MINE 2022;5:1-38. [DOI: 10.3934/mine.2023026] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
17 Azzolin L, Nagel C, Nairn D, Sanchez J, Zheng T, Eichenlaub M, Jadidi A, Dossel O, Loewe A. Automated Framework for the Augmentation of Missing Anatomical Structures and Generation of Personalized Atrial Models from Clinical Data. 2021 Computing in Cardiology (CinC) 2021. [DOI: 10.23919/cinc53138.2021.9662846] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
18 Nagel C, Schuler S, Dössel O, Loewe A. A bi-atrial statistical shape model for large-scale in silico studies of human atria: Model development and application to ECG simulations. Med Image Anal 2021;74:102210. [PMID: 34450467 DOI: 10.1016/j.media.2021.102210] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
19 Salvador M, Fedele M, Africa PC, Sung E, Dede' L, Prakosa A, Chrispin J, Trayanova N, Quarteroni A. Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia. Comput Biol Med 2021;136:104674. [PMID: 34340126 DOI: 10.1016/j.compbiomed.2021.104674] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
20 Regazzoni F, Quarteroni A. Accelerating the convergence to a limit cycle in 3D cardiac electromechanical simulations through a data-driven 0D emulator. Comput Biol Med 2021;135:104641. [PMID: 34298436 DOI: 10.1016/j.compbiomed.2021.104641] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
21 Plank G, Loewe A, Neic A, Augustin C, Huang YL, Gsell MAF, Karabelas E, Nothstein M, Prassl AJ, Sánchez J, Seemann G, Vigmond EJ. The openCARP simulation environment for cardiac electrophysiology. Comput Methods Programs Biomed 2021;208:106223. [PMID: 34171774 DOI: 10.1016/j.cmpb.2021.106223] [Cited by in Crossref: 25] [Cited by in F6Publishing: 14] [Article Influence: 12.5] [Reference Citation Analysis]
22 Gerach T, Schuler S, Fröhlich J, Lindner L, Kovacheva E, Moss R, Wülfers EM, Seemann G, Wieners C, Loewe A. Electro-Mechanical Whole-Heart Digital Twins: A Fully Coupled Multi-Physics Approach. Mathematics 2021;9:1247. [DOI: 10.3390/math9111247] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 8.0] [Reference Citation Analysis]
23 Plank G, Loewe A, Neic A, Augustin C, Huang Y, Gsell MAF, Karabelas E, Nothstein M, Prassl AJ, Sánchez J, Seemann G, Vigmond EJ. The openCARP Simulation Environment for Cardiac Electrophysiology.. [DOI: 10.1101/2021.03.01.433036] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
24 Strocchi M, Augustin CM, Gsell MAF, Karabelas E, Neic A, Gillette K, Roney CH, Razeghi O, Behar JM, Rinaldi CA, Vigmond EJ, Bishop MJ, Plank G, Niederer SA. The Effect of Ventricular Myofibre Orientation on Atrial Dynamics. Functional Imaging and Modeling of the Heart 2021. [DOI: 10.1007/978-3-030-78710-3_63] [Reference Citation Analysis]