| 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 | 1068 | 2014 |
| 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 | 439 | 2018 |
| 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 | 165 | 2017 |
| 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 | 125 | 2014 |
| 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 | 109 | 2020 |
| 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 | 105 | 2020 |
| 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 | 85 | 2019 |
| Machine learning–based 3D geometry reconstruction and modeling of aortic valve deformation using 3D 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 | 71 | 2017 |
| 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 | 66 | 2017 |
| 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 | 63 | 2017 |
| 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 | 61 | 2017 |
| 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 | 57 | 2016 |
| A Machine Learning Approach as a Surrogate of Finite Element Analysisbased Inverse Method to Estimate the Zeropressure Geometry of Human Thoracic Aorta L Liang, M Liu, C Martin, W Sun International journal for numerical methods in biomedical engineering 34 (8 …, 2018 | 48 | 2018 |
| 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 | 44 | 2019 |
| 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 | 39 | 2014 |
| 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 | 36 | 2020 |
| 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 | 32 | 2018 |
| 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 | 32 | 2010 |
| 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 | 31 | 2019 |
| Computation of a probabilistic and anisotropic failure metric on the aortic wall using a machine learning-based surrogate model M Liu, L Liang, Y Ismail, H Dong, X Lou, G Iannucci, EP Chen, ... Computers in Biology and Medicine 137, 104794, 2021 | 26 | 2021 |
