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pro vyhledávání: '"Matthias A.F. Gsell"'
Publikováno v:
SoftwareX, Vol 11, Iss , Pp - (2020)
Advanced cardiac modeling studies rely on the ability to generate and functionalize personalized in silico models from tomographic multi-label image stacks. Eventually, this is used for building virtual cohorts that capture the variability in size, s
Externí odkaz:
https://doaj.org/article/5b898fafa48949019e0a80ee1ed218d9
This piece of workwas originally published in the Proceedings of Computing in Cardiology 2021 (Volume 28). A title page is included with proper acknowledgements stated that "This project 18HLT07 MedalCare has received funding from the EMPIR programme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4770ca23e021a6c624f9bbc77762a2f3
Autor:
Laura Marx, Justyna A. Niestrawska, Matthias A.F. Gsell, Federica Caforio, Gernot Plank, Christoph M. Augustin
Publikováno v:
Journal of computational physics. 463
Image-based computational models of the heart represent a powerful tool to shed new light on the mechanisms underlying physiological and pathological conditions in cardiac function and to improve diagnosis and therapy planning. However, in order to e
Autor:
Argyrios Petras, Matthias A.F. Gsell, Christoph M. Augustin, Jairo Rodriguez-Padilla, Alexander Jung, Marina Strocchi, Frits W. Prinzen, Steven A. Niederer, Gernot Plank, Edward J. Vigmond
Publikováno v:
Computers in Biology and Medicine. 156:106696
Mechanoelectric feedback (MEF) in the heart operates through several mechanisms which serve to regulate cardiac function. Stretch activated channels (SACs) in the myocyte membrane open in response to cell lengthening, while tension generation depends
Autor:
Claudia Nagel, Cristian Barrios Espinosa, Karli Gillette, Matthias A.F. Gsell, Jorge Sanchez, Gernot Plank, Olaf Dossel, Axel Loewe
Publikováno v:
IEEE Transactions on Biomedical Engineering, 70 (2), 511-522
Objective: The bidomain model and the finite element method are an established standard to mathematically describe cardiac electrophysiology, but are both suboptimal choices for fast and large-scale simulations due to high computational costs. We inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ffacffc20362a589d272f587a730a9e
http://arxiv.org/abs/2203.07776
http://arxiv.org/abs/2203.07776
Publikováno v:
MATHMOD 2022 Discussion Contribution Volume.
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 394:114887
Fiber-reinforced soft biological tissues are typically modeled as hyperelastic, anisotropic, and nearly incompressible materials. To enforce incompressibility a multiplicative split of the deformation gradient into a volumetric and an isochoric part