On the application of partial evaluation to the optimisation of cardiac electrophysiological simulations by Cooper, J, McKeever, S, Garny, A

Modelling the effect of gap junctions on tissue−level cardiac electrophysiology by Bruce, D, Pathmanathan, P, Whiteley, J

Modeling Cardiac Electrophysiology at the Organ Level in the Peta FLOPS Computing Age by Haase, G

MRI-based heart and torso personalization for computer modeling and simulation of cardiac electrophysiology by Zacur, E, Minchole, A, Villard, B, Carapella, V, Ariga, R, Rodriguez, B, Grau, V

“…In the last decade, electrophysiological models for in-silico simulations of cardiac electrophysiology have gained much attention in the research field. …”

Second order numerical solution for optimal control of monodomain model in cardiac electrophysiology. by Kunisch, G

Cellular open resource (COR): a new environment for cellular and multicellular modelling of cardiac electrophysiology by Garny, A, Noble, P, Kohl, P, Noble, D

High−throughput cardiac science on the Grid

“…Cardiac electrophysiology is a mature discipline, with the first model of a cardiac cell action potential having been developed in 1962. …”

Mathematical modelling of the ischaemic heart by Mulquiney, P, Smith, N, Clarke, K, Hunter, P

“…These models include both single cell and three-dimensional tissue models that simulate important features of cardiac electrophysiology, mechanics, and metabolism. We have begun to couple these models with the goal of creating a fully integrated cardiac model that can describe the pathophysiology of the ischaemic heart. …”

Extraction of morphological QRS-based biomarkers in hypertrophic cardiomyopathy for risk stratification using L1 regularized logistic regression by Lyon, A, Minchole, A, Ariga, R, Laguna, P, Dei Freitas, N, Neubauer, S, Watkins, H, Rodriguez, B

“…Classification between control and HCM patients reached 95.7% of accuracy (sensitivity of 94.96% for HCM and specificity of 96.90%) using only two main features: the percentage of negative regions of the QRS complex with respect to the isoelectric level and the 3rd coefficient of its Hermite fitting showing interesting connections to cardiac electrophysiology.…”

Evaluation of computational modelling as a preclinical proarrhythmic safety assay by Mirams, G, Beattie, K, Cui, Y, Luscombe, C, Williams, G, Gavaghan, D, McMahon, N

“…Computational cardiac electrophysiology models offer this opportunity, by expressing the complex feedback between ion currents and transmembrane potential in mathematical form. …”

Reconstructing 3D cardiac anatomies from misaligned multi-view magnetic resonance images with Mesh Deformation U-Nets by Beetz, M, Banerjee, A, Grau, V

“…High-quality three-dimensional (3D) representations of cardiac anatomy and function are crucial for improving cardiac disease diagnosis beyond strictly volume-based biomarkers used in current clinical practice, as well as for the accurate simulation of cardiac electrophysiology and mechanics. However, current gold standard cardiac magnetic resonance imaging (MRI) protocols typically only acquire a set of 2D slices to approximate the true 3D morphology of the underlying heart. …”