Minliang Liu

According to our database, Minliang Liu authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Shape Deformation Networks for Automated Aortic Valve Finite Element Meshing from 3D CT Images.

Linchen Qian, Jiasong Chen, Ruonan Gong, Wei Sun, Minliang Liu, Liang Liang

CoRR, November, 2025

2024

The role of anatomic shape features in the prognosis of uncomplicated type B aortic dissection initially treated with optimal medical therapy.

Minliang Liu, Hai Dong, Adam Mazlout, Yuxuan Wu, Asanish Kalyanasundaram, John N. Oshinski, Wei Sun, John A. Elefteriades, Bradley G. Leshnower, Rudolph L. Gleason

Comput. Biol. Medicine, March, 2024

Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning.

Daniel H. Pak, Minliang Liu, Theodore Kim, Liang Liang, Andrés Caballero, John A. Onofrey, Shawn S. Ahn, Yilin Xu, Raymond McKay, Wei Sun, Rudolph L. Gleason, James S. Duncan

IEEE Trans. Medical Imaging, January, 2024

Robust automated calcification meshing for personalized cardiovascular biomechanics.

Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph L. Gleason, James S. Duncan

npj Digit. Medicine, 2024

Robust automated calcification meshing for biomechanical cardiac digital twins.

Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph L. Gleason, James S. Duncan

CoRR, 2024

2023

PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta.

Liang Liang, Minliang Liu, John A. Elefteriades, Wei Sun

Comput. Methods Programs Biomed., August, 2023

2021

β-Delayed γ Emissions of 26P and Its Mirror Asymmetry.

Hao Jian, Yufeng Gao, Fanchao Dai, Jiajian Liu, Xinxing Xu, Cenxi Yuan, Kazunari Kaneko, Yang Sun, Pengfei Liang, Guozhu Shi, Lijie Sun, Latsamy Xayavong, Chengjian Lin, Jenny Lee, Zhihuan Li, Yanyun Yang, Pengjie Li, Rui Fan, Sixian Zha, Haofan Zhu, Jinhai Li, Qirui Gao, Zhaozhan Zhang, Ruofu Chen, Jiansong Wang, Dongxi Wang, Hongyi Wu, Kang Wang, Yihua Lam, Fangfang Duan, Peng Ma, Zhihao Gao, Qiang Hu, Zhen Bai, Junbing Ma, Jianguo Wang, Fupeng Zhong, Chenguang Wu, Diwen Luo, Ying Jiang, Yang Liu, Dongsheng Hou, Ren Li, Nanru Ma, Weihu Ma, Gongming Yu, Dipika Patel, Shuya Jin, Yufeng Wang, Yuechao Yu, Qingwu Zhou, Peng Wang, Liyuan Hu, Xiang Wang, Hongliang Zang, Qingqing Zhao, Lei Yang, Peiwei Wen, Feng Yang, Huiming Jia, Gaolong Zhang, Min Pan, Xiaoyu Wang, Haohan Sun, Meng Wang, Zhengguo Hu, Xiaohong Zhou, Yuhu Zhang, Hushan Xu, Minliang Liu, Hooi-Jin Ong, Weiqing Yang

Symmetry, 2021

Computation of a probabilistic and anisotropic failure metric on the aortic wall using a machine learning-based surrogate model.

Minliang Liu, Liang Liang, Yasmeen Ismail, Hai Dong, Xiaoying Lou, Glen Iannucci, Edward P. Chen, Bradley G. Leshnower, John A. Elefteriades, Wei Sun

Comput. Biol. Medicine, 2021

Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves.

Daniel H. Pak, Minliang Liu, Theodore Kim, Liang Liang, Raymond McKay, Wei Sun, James S. Duncan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images.

Daniel H. Pak, Minliang Liu, Shawn S. Ahn, Andrés Caballero, John A. Onofrey, Liang Liang, Wei Sun, James S. Duncan

Proceedings of the Information Processing in Medical Imaging, 2021

2019

Letter to the editor regarding the paper titled "<i>on the role of material properties in ascending thoracic aortic aneurysms"</i>.

Minliang Liu, Liang Liang, Wei Sun

Comput. Biol. Medicine, 2019