G
Gernot Plank
Researcher at Medical University of Graz
Publications - 292
Citations - 7562
Gernot Plank is an academic researcher from Medical University of Graz. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 41, co-authored 245 publications receiving 5979 citations. Previous affiliations of Gernot Plank include University of Oxford & University of Calgary.
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A Novel Rule-Based Algorithm for Assigning Myocardial Fiber Orientation to Computational Heart Models
TL;DR: A novel Laplace–Dirichlet Rule-Based (LDRB) algorithm is presented to perform this task with speed, precision, and high usability and convincingly show that the LDRB algorithm is a robust alternative to DTI for assigning fiber orientation to computational heart models.
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Computational tools for modeling electrical activity in cardiac tissue
TL;DR: This paper describes the latest modeling software that the group has developed, called Carp (Cardiac arrhythmias research package), designed to run in both shared memory and clustered computing environments, and aims to be modular and flexible by following a plug-in framework.
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Solvers for the cardiac bidomain equations.
TL;DR: An overview of the bidomain equations and the methods by which they have been solved is given, of particular note are recent developments in multigrid methods, which have proven to be the most efficient.
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Verification of cardiac tissue electrophysiology simulators using an N-version benchmark
Steven A. Niederer,Eric Kerfoot,Alan P. Benson,Miguel O. Bernabeu,Olivier Bernus,Chris P. Bradley,Elizabeth M. Cherry,Richard H. Clayton,Flavio H. Fenton,Alan Garny,Elvio Heidenreich,Sander Land,Mary M. Maleckar,Pras Pathmanathan,Gernot Plank,Jose F. Rodriguez,Ishani Roy,Frank B. Sachse,Gunnar Seemann,Ola Skavhaug,Nic Smith +20 more
TL;DR: This study provides the first cardiac tissue electrophysiology simulation benchmark to allow these codes to be verified and was successfully evaluated on 11 simulation platforms to generate a consensus gold-standard converged solution.
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Development of an anatomically detailed MRI-derived rabbit ventricular model and assessment of its impact on simulations of electrophysiological function
Martin J. Bishop,Gernot Plank,Rebecca A.B. Burton,Jürgen E. Schneider,David J. Gavaghan,Vicente Grau,Peter Kohl +6 more
TL;DR: Developing a highly detailed finite-element computational model of rabbit ventricles constructed from high-resolution MR data, including the processes of segmentation, identification of relevant anatomical features, mesh generation, and myocyte orientation representation, highlights the utility of histoanatomically detailed models for investigations of cardiac function, in particular for future patient-specific modeling.