Minliang Liu

A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis

Liang Liang, Minliang Liu, C. F. Martin et al. · Journal of The Royal Society Interface · 2018 · 464 citations · Full text

Engineering, Machine Learning, Mechanical Engineering +25

A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm

Liang Liang, Minliang Liu, Caitlin Martin et al. · Biomechanics and Modeling in Mechanobiology · 2017 · 168 citations · Full text

Engineering, Machine Learning, Diagnosis +16

A generic physics-informed neural network-based constitutive model for soft biological tissues

Minliang Liu, Liang Liang, Wei Sun · Computer Methods in Applied Mechanics and Engineering · 2020 · 119 citations · Full text

Mechanobiology, Engineering, Physic Aware Machine Learning +10

Estimation of in vivo constitutive parameters of the aortic wall using a machine learning approach

Minliang Liu, Liang Liang, Wei Sun · Computer Methods in Applied Mechanics and Engineering · 2018 · 82 citations

Mechanobiology, Engineering, Vascular Image +12

A deep learning approach to estimate chemically-treated collagenous tissue nonlinear anisotropic stress-strain responses from microscopy images

Liang Liang, Minliang Liu, Wei Sun · Acta Biomaterialia · 2017 · 63 citations · Full text

Mechanobiology, Tissue Imaging, Engineering +14