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R Pfaller

Showing results (21-30 of 44) with videos related to

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International Journal for Numerical Methods in Biomedical Engineering|February 6, 2020
Using parametric model order reduction for inverse analysis of large nonlinear cardiac simulationsM R Pfaller, M Cruz Varona, J Lang, et al.
Nature|December 13, 1990
Identification of a mitochondrial receptor complex required for recognition and membrane insertion of precursor proteinsM Kiebler, R Pfaller, T Söllner, et al.
Annals of Biomedical Engineering|June 25, 2021
On the Periodicity of Cardiovascular Fluid Dynamics SimulationsMartin R Pfaller, Jonathan Pham, Nathan M Wilson, et al.
Computers in Biology and Medicine|November 28, 2024
Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differencesNatalia L Rubio, Luca Pegolotti, Martin R Pfaller, et al.
The EMBO Journal|September 1, 1987
Mitochondrial porin of Neurospora crassa: cDNA cloning, in vitro expression and import into mitochondriaR Kleene, N Pfanner, R Pfaller, et al.
International Journal for Numerical Methods in Biomedical Engineering|January 10, 2018
An adaptive hybridizable discontinuous Galerkin approach for cardiac electrophysiologyJulia M Hoermann, Cristóbal Bertoglio, Martin Kronbichler, et al.
Biomechanics and Modeling in Mechanobiology|July 23, 2023
A homogenized constrained mixture model of cardiac growth and remodeling: analyzing mechanobiological stability and reversalAmadeus M Gebauer, Martin R Pfaller, Fabian A Braeu, et al.
Journal of Biomechanical Engineering|October 25, 2022
svMorph: Interactive Geometry-Editing Tools for Virtual Patient-Specific Vascular AnatomiesJonathan Pham, Sofia Wyetzner, Martin R Pfaller, et al.
Biomechanics and Modeling in Mechanobiology|December 12, 2018
The importance of the pericardium for cardiac biomechanics: from physiology to computational modelingMartin R Pfaller, Julia M Hörmann, Martina Weigl, et al.
Computers in Biology and Medicine|December 1, 2023
Learning reduced-order models for cardiovascular simulations with graph neural networksLuca Pegolotti, Martin R Pfaller, Natalia L Rubio, et al.
Pageof 5

Showing results (21-30 of 44) with videos related to

Sort By:
Pageof 5
International Journal for Numerical Methods in Biomedical Engineering|February 6, 2020
Using parametric model order reduction for inverse analysis of large nonlinear cardiac simulationsM R Pfaller, M Cruz Varona, J Lang, et al.
Nature|December 13, 1990
Identification of a mitochondrial receptor complex required for recognition and membrane insertion of precursor proteinsM Kiebler, R Pfaller, T Söllner, et al.
Annals of Biomedical Engineering|June 25, 2021
On the Periodicity of Cardiovascular Fluid Dynamics SimulationsMartin R Pfaller, Jonathan Pham, Nathan M Wilson, et al.
Computers in Biology and Medicine|November 28, 2024
Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differencesNatalia L Rubio, Luca Pegolotti, Martin R Pfaller, et al.
The EMBO Journal|September 1, 1987
Mitochondrial porin of Neurospora crassa: cDNA cloning, in vitro expression and import into mitochondriaR Kleene, N Pfanner, R Pfaller, et al.
International Journal for Numerical Methods in Biomedical Engineering|January 10, 2018
An adaptive hybridizable discontinuous Galerkin approach for cardiac electrophysiologyJulia M Hoermann, Cristóbal Bertoglio, Martin Kronbichler, et al.
Biomechanics and Modeling in Mechanobiology|July 23, 2023
A homogenized constrained mixture model of cardiac growth and remodeling: analyzing mechanobiological stability and reversalAmadeus M Gebauer, Martin R Pfaller, Fabian A Braeu, et al.
Journal of Biomechanical Engineering|October 25, 2022
svMorph: Interactive Geometry-Editing Tools for Virtual Patient-Specific Vascular AnatomiesJonathan Pham, Sofia Wyetzner, Martin R Pfaller, et al.
Biomechanics and Modeling in Mechanobiology|December 12, 2018
The importance of the pericardium for cardiac biomechanics: from physiology to computational modelingMartin R Pfaller, Julia M Hörmann, Martina Weigl, et al.
Computers in Biology and Medicine|December 1, 2023
Learning reduced-order models for cardiovascular simulations with graph neural networksLuca Pegolotti, Martin R Pfaller, Natalia L Rubio, et al.
Pageof 5