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Liang Liang
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引用次数
年份
Objective comparison of particle tracking methods
N Chenouard, I Smal, F De Chaumont, M Maška, IF Sbalzarini, Y Gong, ...
Nature methods 11 (3), 281-289, 2014
9482014
A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis
L Liang, M Liu, C Martin, W Sun
Journal of The Royal Society Interface 15 (138), 2018
3142018
A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm
L Liang, M Liu, C Martin, JA Elefteriades, W Sun
Biomechanics and Modeling in Mechanobiology 16 (5), 1519–1533, 2017
1302017
A role of OCRL in clathrin-coated pit dynamics and uncoating revealed by studies of Lowe syndrome cells
PDC Ramiro Nández, Daniel M Balkin, Mirko Messa, Liang Liang, Summer ...
elife, 2014
1152014
A feasibility study of deep learning for predicting hemodynamics of human thoracic aorta
L Liang, W Mao, W Sun
Journal of biomechanics 99, 109544, 2020
772020
Estimation of in vivo constitutive parameters of the aortic wall using a machine learning approach
M Liu, L Liang, W Sun
Computer Methods in Applied Mechanics and Engineering, 2019
682019
A generic physics-informed neural network-based constitutive model for soft biological tissues
M Liu, L Liang, W Sun
Computer Methods in Applied Mechanics and Engineering 372, 113402, 2020
672020
Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics
A Caballero, W Mao, L Liang, J Oshinski, C Primiano, R McKay, S Kodali, ...
Cardiovascular Engineering and Technology 8 (4), 465–479, 2017
562017
A new inverse method for estimation of in vivo mechanical properties of the aortic wall
M Liu, L Liang, W Sun
Journal of the Mechanical Behavior of Biomedical Materials 72, 148-158, 2017
532017
Machine learning–based 3‐D geometry reconstruction and modeling of aortic valve deformation using 3‐D computed tomography images
L Liang, K Fan, C Martin, T Pham, Q Wang, JS Duncan, W Sun
International Journal of Numerical Methods in Biomedical Engineering 33 (5), 2017
512017
Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor
J Zhao, M Liu, L Liang, W Wang, J Xie
Sensors and Actuators A 238, 379-388, 2016
492016
A Deep Learning Approach to Estimate Chemically-Treated Collagenous Tissue Nonlinear Anisotropic Stress-Strain Responses from Microscopy Images
L Liang, M Liu, W Sun
Acta Biomaterialia 63, 227-235, 2017
472017
A novel multiple hypothesis based particle tracking method for clathrin mediated endocytosis analysis using fluorescence microscopy
L Liang, H Shen, P De Camilli, JS Duncan
IEEE Transactions on Image Processing 23 (4), 1844-1857, 2014
352014
Identification of in vivo nonlinear anisotropic mechanical properties of ascending thoracic aortic aneurysm from patient-specific CT scans
M Liu, L Liang, F Sulejmani, X Lou, G Iannucci, E Chen, B Leshnower, ...
Scientific reports 9 (1), 12983, 2019
342019
Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approach
M Liu, L Liang, W Sun
Journal of the mechanical behavior of biomedical materials 77, 649-659, 2018
322018
Tracking clathrin coated pits with a multiple hypothesis based method
L Liang, H Shen, P De Camilli, J Duncan
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, 315-322, 2010
322010
Computational optimization study of transcatheter aortic valve leaflet design using porcine and bovine leaflets
S Travaglino, K Murdock, A Tran, C Martin, L Liang, Y Wang, W Sun
Journal of biomechanical engineering 142 (1), 011007, 2020
292020
A Machine Learning Approach as a Surrogate of Finite Element Analysis‐based Inverse Method to Estimate the Zero‐pressure Geometry of Human Thoracic Aorta
L Liang, M Liu, C Martin, W Sun
International journal for numerical methods in biomedical engineering 34 (8 …, 2018
292018
On the computation of in vivo transmural mean stress of patient-specific aortic wall
M Liu, L Liang, H Liu, M Zhang, C Martin, W Sun
Biomechanics and Modeling in Mechanobiology, 2019
272019
Is it appropriate to measure age-related lumbar disc degeneration on the mid-sagittal MR image? A quantitative image study
X Hu, M Chen, J Pan, L Liang, Y Wang
European Spine Journal 27, 1073-1081, 2018
182018
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