| 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), 20170844, 2018 | 371 | 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 | 148 | 2017 |
| 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 | 87 | 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 347, 201-217, 2019 | 77 | 2019 |
| 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 | 58 | 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 | 57 | 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: Physical 238, 379-388, 2016 | 55 | 2016 |
| Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor J Zhao, M Liu, W Wang, J Xie 2016 IEEE 29th International Conference on Micro Electro Mechanical Systems …, 2016 | 55 | 2016 |
| 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 | 38 | 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 | 35 | 2019 |
| 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 |
| 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 | 28 | 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 | 22 | 2021 |
| A novel anisotropic failure criterion with dispersed fiber orientations for aortic tissues M Liu, H Dong, X Lou, G Iannucci, EP Chen, BG Leshnower, W Sun Journal of Biomechanical Engineering 142 (11), 111002, 2020 | 22 | 2020 |
| Finite element simulation of three dimensional residual stress in the aortic wall using an anisotropic tissue growth model H Liu, M Zhang, M Liu, C Martin, Z Cai, W Sun Journal of the Mechanical Behavior of Biomedical Materials 92, 188-196, 2019 | 21 | 2019 |
| A residual stiffness-based model for the fatigue damage of biological soft tissues H Dong, M Liu, C Martin, W Sun Journal of the Mechanics and Physics of Solids 143, 104074, 2020 | 20 | 2020 |
| Biobased High-Performance Rotary Micromotors for Individually Reconfigurable Micromachine Arrays and Microfluidic Applications K Kim, Z Liang, M Liu, DE Fan ACS applied materials & interfaces 9 (7), 6144-6152, 2017 | 18 | 2017 |
| Distortion energy for deep learning-based volumetric finite element mesh generation for aortic valves DH Pak, M Liu, T Kim, L Liang, R McKay, W Sun, JS Duncan Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 13 | 2021 |
| A novel computational growth framework for biological tissues: Application to growth of aortic root aneurysm repaired by the V-shape surgery H Dong, M Liu, T Qin, L Liang, B Ziganshin, H Ellauzi, M Zafar, S Jang, ... Journal of the Mechanical Behavior of Biomedical Materials 127, 105081, 2022 | 10 | 2022 |
| PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta L Liang, M Liu, J Elefteriades, W Sun Computer Methods and Programs in Biomedicine 238, 107616, 2023 | 6 | 2023 |
Wei SunSutra Medical Inc, Biomedical Engineering, Georgia Institute of TechnologyVerified email at bme.gatech.edu
