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Filament behavior in a computational model of ventricular fibrillation in the canine heart.

, and . IEEE Trans. Biomed. Eng., 51 (1): 28-34 (2004)

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Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar., , , , , , and . Artif. Intell. Medicine, (September 2023)MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar., , , , , and . Comput. Medical Imaging Graph., (2021)Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia., , , , and . Medical Biol. Eng. Comput., 56 (5): 761-780 (2018)A Comparison of Two Models of Human Ventricular Tissue: Simulated Ischaemia and Re-entry., and . CinC, page 385-388. www.cinc.org, (2013)The Effect of Scar Tissue on Complexity of Activation Patterns in Simulated Human Ventricular Fibrillation., and . CinC, page 1133-1136. www.cinc.org, (2014)Formulation of ATP Sensitive K+ Current and Action Potential Shape in Models of Human Ventricular Myocytes., and . CinC, page 201-204. www.cinc.org, (2014)Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity., , , , , , , , , and . CoRR, (2020)Dynamics and Interaction of Filaments during reentry and Fibrillation in mammalian Virtual Ventricular Tissue., and . Int. J. Bifurc. Chaos, 13 (12): 3733-3745 (2003)Can Endogenous, Noise-Triggered Early after-Depolarizations Initiate reentry in a Modified Luo-rudy Ventricular Virtual Tissue?, , and . Int. J. Bifurc. Chaos, 13 (12): 3835-3843 (2003)Early afterdepolarisations and ventricular arrhythmias in cardiac tissue: a computational study., and . Medical Biol. Eng. Comput., 47 (3): 291-300 (2009)