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Gundolf Haase

Showing results (1-10 of 10) with videos related to

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Computer Physics Communications|October 5, 2011
A numerical projection technique for large-scale eigenvalue problemsRalf Gamillscheg, Gundolf Haase, Wolfgang von der Linden
Computational Mechanics|January 25, 2020
Versatile stabilized finite element formulations for nearly and fully incompressible solid mechanicsElias Karabelas, Gundolf Haase, Gernot Plank, et al.
IEEE Transactions on Bio-Medical Engineering|December 4, 2023
Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation ApproachThomas Grandits, Jan Verhulsdonk, Gundolf Haase, et al.
IEEE Transactions on Bio-Medical Engineering|April 5, 2007
Algebraic multigrid preconditioner for the cardiac bidomain modelGernot Plank, Manfred Liebmann, Rodrigo Weber dos Santos, et al.
Computer Methods in Applied Mechanics and Engineering|April 18, 2022
An accurate, robust, and efficient finite element framework with applications to anisotropic, nearly and fully incompressible elasticityElias Karabelas, Matthias A F Gsell, Gundolf Haase, et al.
Journal of Computational Physics|January 29, 2016
Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformationChristoph M Augustin, Aurel Neic, Manfred Liebmann, et al.
IEEE Transactions on Bio-Medical Engineering|March 30, 2022
Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate ModelsElias Karabelas, Stefano Longobardi, Jana Fuchsberger, et al.
IEEE Transactions on Bio-Medical Engineering|August 12, 2010
A macro finite-element formulation for cardiac electrophysiology simulations using hybrid unstructured gridsBernardo M Rocha, Ferdinand Kickinger, Anton J Prassl, et al.
Elife|April 10, 2024
Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studiesThomas Grandits, Christoph M Augustin, Gundolf Haase, et al.
Biorxiv : the Preprint Server for Biology|January 18, 2024
Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studiesThomas Grandits, Christoph M Augustin, Gundolf Haase, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Computer Physics Communications|October 5, 2011
A numerical projection technique for large-scale eigenvalue problemsRalf Gamillscheg, Gundolf Haase, Wolfgang von der Linden
Computational Mechanics|January 25, 2020
Versatile stabilized finite element formulations for nearly and fully incompressible solid mechanicsElias Karabelas, Gundolf Haase, Gernot Plank, et al.
IEEE Transactions on Bio-Medical Engineering|December 4, 2023
Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation ApproachThomas Grandits, Jan Verhulsdonk, Gundolf Haase, et al.
IEEE Transactions on Bio-Medical Engineering|April 5, 2007
Algebraic multigrid preconditioner for the cardiac bidomain modelGernot Plank, Manfred Liebmann, Rodrigo Weber dos Santos, et al.
Computer Methods in Applied Mechanics and Engineering|April 18, 2022
An accurate, robust, and efficient finite element framework with applications to anisotropic, nearly and fully incompressible elasticityElias Karabelas, Matthias A F Gsell, Gundolf Haase, et al.
Journal of Computational Physics|January 29, 2016
Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformationChristoph M Augustin, Aurel Neic, Manfred Liebmann, et al.
IEEE Transactions on Bio-Medical Engineering|March 30, 2022
Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate ModelsElias Karabelas, Stefano Longobardi, Jana Fuchsberger, et al.
IEEE Transactions on Bio-Medical Engineering|August 12, 2010
A macro finite-element formulation for cardiac electrophysiology simulations using hybrid unstructured gridsBernardo M Rocha, Ferdinand Kickinger, Anton J Prassl, et al.
Elife|April 10, 2024
Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studiesThomas Grandits, Christoph M Augustin, Gundolf Haase, et al.
Biorxiv : the Preprint Server for Biology|January 18, 2024
Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studiesThomas Grandits, Christoph M Augustin, Gundolf Haase, et al.
Pageof 1