|
21 |
Predictive constitutive modelling of arteries by deep learning Holzapfel, Gerhard A.. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2021
|
|
|
22 |
Unraveling the local relation between tissue composition and human brain mechanics through machine learning Linka, Kevin. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2021
|
|
|
23 |
Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning Enthalten in Proceedings in applied mathematics and mechanics Bd. 21, 2021, Nr. 1. 2 S.
|
|
|
24 |
Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning Enthalten in Proceedings in applied mathematics and mechanics Bd. 21, 2021, Nr. 1. 2 S.
|
|
|
25 |
Concentration‐Specific Constitutive Modeling of Gelatin Based on Artificial Neural Networks Enthalten in Proceedings in applied mathematics and mechanics Bd. 20, 2021, Nr. 1
|
|
|
26 |
A serial multiparametric quantitative magnetic resonance imaging study to assess proteoglycan depletion of human articular cartilage and its effects on functionality Hafner, Tobias. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2020
|
|
|
27 |
A serial multiparametric quantitative magnetic resonance imaging study to assess proteoglycan depletion of human articular cartilage and its effects on functionality Hafner, Tobias. - Aachen : Universitätsbibliothek der RWTH Aachen, 2020
|
|
|
28 |
Functional MRI Mapping of Human Meniscus Functionality and its Relation to Degeneration Nebelung, Sven. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2020
|
|
|
29 |
Functional MRI Mapping of Human Meniscus Functionality and its Relation to Degeneration Nebelung, Sven. - Aachen : Universitätsbibliothek der RWTH Aachen, 2020
|
|
|
30 |
Towards deep learned constitutive models based on two‐dimensional strain fields Hillgärtner, Markus. - Aachen : Universitätsbibliothek der RWTH Aachen, 2019
|
|