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Minliang Liu

Showing results (1-10 of 36) with videos related to

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Computer Methods in Applied Mechanics and Engineering|June 5, 2019
Estimation of <i>in vivo</i> constitutive parameters of the aortic wall using a machine learning approachMinliang Liu, Liang Liang, Wei Sun
Journal of the Mechanical Behavior of Biomedical Materials|May 12, 2017
A new inverse method for estimation of in vivo mechanical properties of the aortic wallMinliang Liu, Liang Liang, Wei Sun
Journal of the Mechanical Behavior of Biomedical Materials|November 5, 2017
Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approachMinliang Liu, Liang Liang, Wei Sun
Acta Biomaterialia|September 24, 2017
A deep learning approach to estimate chemically-treated collagenous tissue nonlinear anisotropic stress-strain responses from microscopy imagesLiang Liang, Minliang Liu, Wei Sun
Computers in Biology and Medicine|August 10, 2019
Letter to the editor regarding the paper titled "on the role of material properties in ascending thoracic aortic aneurysms"Minliang Liu, Liang Liang, Wei Sun
Computer Methods in Applied Mechanics and Engineering|May 20, 2021
A generic physics-informed neural network-based constitutive model for soft biological tissuesMinliang Liu, Liang Liang, Wei Sun
Biorxiv : the Preprint Server for Biology|April 17, 2023
Synergistic Integration of Deep Neural Networks and Finite Element Method with Applications for Biomechanical Analysis of Human AortaLiang Liang, Minliang Liu, John Elefteriades, et al.
Computer Methods in Applied Mechanics and Engineering|February 19, 2024
Synergistic Integration of Deep Neural Networks and Finite Element Method with Applications of Nonlinear Large Deformation BiomechanicsLiang Liang, Minliang Liu, John Elefteriades, et al.
Computer Methods and Programs in Biomedicine|May 25, 2023
PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aortaLiang Liang, Minliang Liu, John Elefteriades, et al.
International Journal for Numerical Methods in Biomedical Engineering|May 10, 2018
A machine learning approach as a surrogate of finite element analysis-based inverse method to estimate the zero-pressure geometry of human thoracic aortaLiang Liang, Minliang Liu, Caitlin Martin, et al.
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Computer Methods in Applied Mechanics and Engineering|June 5, 2019
Estimation of <i>in vivo</i> constitutive parameters of the aortic wall using a machine learning approachMinliang Liu, Liang Liang, Wei Sun
Journal of the Mechanical Behavior of Biomedical Materials|May 12, 2017
A new inverse method for estimation of in vivo mechanical properties of the aortic wallMinliang Liu, Liang Liang, Wei Sun
Journal of the Mechanical Behavior of Biomedical Materials|November 5, 2017
Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approachMinliang Liu, Liang Liang, Wei Sun
Acta Biomaterialia|September 24, 2017
A deep learning approach to estimate chemically-treated collagenous tissue nonlinear anisotropic stress-strain responses from microscopy imagesLiang Liang, Minliang Liu, Wei Sun
Computers in Biology and Medicine|August 10, 2019
Letter to the editor regarding the paper titled "on the role of material properties in ascending thoracic aortic aneurysms"Minliang Liu, Liang Liang, Wei Sun
Computer Methods in Applied Mechanics and Engineering|May 20, 2021
A generic physics-informed neural network-based constitutive model for soft biological tissuesMinliang Liu, Liang Liang, Wei Sun
Biorxiv : the Preprint Server for Biology|April 17, 2023
Synergistic Integration of Deep Neural Networks and Finite Element Method with Applications for Biomechanical Analysis of Human AortaLiang Liang, Minliang Liu, John Elefteriades, et al.
Computer Methods in Applied Mechanics and Engineering|February 19, 2024
Synergistic Integration of Deep Neural Networks and Finite Element Method with Applications of Nonlinear Large Deformation BiomechanicsLiang Liang, Minliang Liu, John Elefteriades, et al.
Computer Methods and Programs in Biomedicine|May 25, 2023
PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aortaLiang Liang, Minliang Liu, John Elefteriades, et al.
International Journal for Numerical Methods in Biomedical Engineering|May 10, 2018
A machine learning approach as a surrogate of finite element analysis-based inverse method to estimate the zero-pressure geometry of human thoracic aortaLiang Liang, Minliang Liu, Caitlin Martin, et al.
Pageof 4