Liang Wang

发表

Porcine and bovine aortic valve comparison for surgical optimization: A fluid-structure interaction modeling study.

D. Tang, Chun Yang, P. Hammer, 2021, International journal of cardiology.

Computational Modeling of Human Bicuspid Pulmonary Valve Dynamic Deformation in Patients with Tetralogy of Fallot

D. Tang, Chun Yang, T. Geva, 2019, Molecular & Cellular Biomechanics.

A prediction tool for plaque progression based on patient-specific multi-physical modeling

D. Tang, G. Mintz, A. Maehara, 2021, PLoS Comput. Biol..

A prediction tool for plaque progression based on patient-specific multi-physical modeling

D. Tang, G. Mintz, A. Maehara, 2020, bioRxiv.

Enhanced External Counterpulsation Treatment May Intervene The Advanced Atherosclerotic Plaque Progression by Inducing The Variations of Mechanical Factors: A 3D FSI Study Based on in vivo Animal Experiment.

Liang Wang, Jianhang Du, 2015, Molecular & cellular biomechanics : MCB.

Image-based biomechanical modeling for coronary atherosclerotic plaque progression and vulnerability prediction.

G. Stone, D. Giddens, Jie Zheng, 2022, International journal of cardiology.

Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study

Liang Wang, D. Giddens, Jie Zheng, 2020, BioMedical Engineering OnLine.

Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change

G. Stone, Jie Zheng, R. Bach, 2020, Computer methods in biomechanics and biomedical engineering.

IVUS-based Fluid-structure Interaction Models for Novel Plaque Vulnerability Indices: A Study in Patients with Coronary Artery Disease

Jie Zheng, R. Bach, D. Tang, 2015 .

Using Optical Coherence Tomography and Intravascular Ultrasound Imaging to Quantify Coronary Plaque Cap Stress/Strain and Progression: A Follow-Up Study Using 3D Thin-Layer Models

D. Giddens, Jie Zheng, D. Tang, 2021, Frontiers in Bioengineering and Biotechnology.

Using 2D In Vivo IVUS-Based Models for Human Coronary Plaque Progression Analysis and Comparison with 3D Fluid-Structure Interaction Models: A Multi-Patient Study

Jie Zheng, R. Bach, D. Tang, 2015 .

IVUS-Based FSI Models for Human Coronary Plaque Progression Study: Components, Correlation and Predictive Analysis

Jie Zheng, R. Bach, D. Tang, 2014, Annals of Biomedical Engineering.

In Vivo Intravascular Ultrasound-Based 3D Thin-Walled Model for Human Coronary Plaque Progression Study: Transforming Research to Potential Commercialization

Jie Zheng, D. Tang, G. Mintz, 2017, International Journal of Computational Methods.

Using 2D In Vivo IVUS-Based Models for Human Coronary Plaque Progression Analysis and Comparison with 3D FSI Models: A Multi-Patient Study

Jie Zheng, R. Bach, D. Tang, 2015 .

Computational Modeling of Human Bicuspid Pulmonary Valve Dynamic Deformation in Patients with Tetralogy of Fallot

D. Tang, Chun Yang, T. Geva, 2019, Molecular & Cellular Biomechanics.

Optimization of Left Ventricle Pace Maker Location Using Echo-Based Fluid-Structure Interaction Models

D. Tang, Jing Yao, Longling Fan, 2022, Frontiers in Physiology.

Hemodynamic Mimic Shear Stress for Platelet Membrane Nanobubbles Preparation and Integrin αIIbβ3 Conformation Regulation.

D. Tang, Z. Ni, Fang Yang, 2021, Nano letters.

Quantifying Patient-Specific in vivo Coronary Plaque Material Properties for Accurate Stress/Strain Calculations: An IVUS-Based Multi-Patient Study

D. Tang, G. Mintz, K. Billiar, 2021, Frontiers in Physiology.

Multi-patient study for coronary vulnerable plaque model comparisons: 2D/3D and fluid–structure interaction simulations

G. Stone, D. Giddens, Jie Zheng, 2021, Biomechanics and Modeling in Mechanobiology.

Prediction of the coronary plaque growth and vulnerability change by using patient-specific 3D fluid–structure interaction models based on intravascular ultrasound and optical coherence tomography follow-up data

Xiaoya Guo, Dalin Tang, David Molony, 2020 .

Quantify patient-specific coronary material property and its impact on stress/strain calculations using in vivo IVUS data and 3D FSI models: a pilot study

Xiaoya Guo, Dalin Tang, Habib Samady, 2017, Biomechanics and modeling in mechanobiology.

Morphological and Stress Vulnerability Indices for Human Coronary Plaques and Their Correlations with Cap Thickness and Lipid Percent: An IVUS-Based Fluid-Structure Interaction Multi-patient Study

Dalin Tang, Gary S. Mintz, Akiko Maehara, 2015, PLoS Comput. Biol..

Optical Coherence Tomography-Derived Changes in Plaque Structural Stress Over the Cardiac Cycle: A New Method for Plaque Biomechanical Assessment

P. Serruys, Jigang Wu, D. Tang, 2021, Frontiers in Cardiovascular Medicine.

Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study

D. Giddens, Jie Zheng, D. Tang, 2020, Biomedical engineering online.

Multi-factor decision-making strategy for better coronary plaque burden increase prediction: a patient-specific 3D FSI study using IVUS follow-up data

Dalin Tang, David Molony, Habib Samady, 2019, Biomechanics and modeling in mechanobiology.

Combining IVUS and Optical Coherence Tomography for More Accurate Coronary Cap Thickness Quantification and Stress/Strain Calculations: A Patient-Specific Three-Dimensional Fluid-Structure Interaction Modeling Approach.

Liang Wang, D. Giddens, Jie Zheng, 2018, Journal of biomechanical engineering.

A Machine Learning-Based Method for Intracoronary OCT Segmentation and Vulnerable Coronary Plaque Cap Thickness Quantification

Xiaoya Guo, Dalin Tang, David Molony, 2019, International Journal of Computational Methods.

Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid–structure interaction models and machine learning methods with patient follow-up data: a feasibility study

D. Giddens, Jie Zheng, D. Tang, 2021, BioMedical Engineering OnLine.

Combining morphological and biomechanical factors for optimal carotid plaque progression prediction: An MRI-based follow-up study using 3D thin-layer models.

C. Yuan, T. Hatsukami, D. Tang, 2019, International journal of cardiology.

Combining IVUS and OCT for More Accurate Coronary Cap Thickness Quantification and Stress/Strain Calculations: A Patient-Specific 3D FSI Modeling Approach

D. Giddens, D. Tang, Chun Yang, 2020 .

Quantify patient-specific coronary material property and its impact on stress/strain calculations using in vivo IVUS data and 3D FSI models: a pilot study

D. Giddens, Jie Zheng, D. Tang, 2016, Biomechanics and Modeling in Mechanobiology.

Becker Digital

K. Billiar, A. Maehara, Zheyang Wu, 2022 .

Plaque Ruptures Are Related to High Plaque Stress and Strain Conditions: Direct Verification by Using In Vivo OCT Rupture Data and FSI Models

Liang Wang, Jian Zhu, R. Lv, 2024, Arteriosclerosis, thrombosis, and vascular biology.

An FSI modeling approach to combine IVUS and OCT for more accurate patient-specific coronary cap thickness and stress/strain calculations

D. Giddens, Jie Zheng, D. Tang, 2017 .

Combining IVUS + OCT Data, Biomechanical Models and Machine Learning Method for Accurate Coronary Plaque Morphology Quantification and Cap Thickness and Stress/Strain Index Predictions

Liang Wang, D. Giddens, Jie Zheng, 2023, Journal of functional biomaterials.