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Mechanical-chemical coupled modeling of bone regeneration within a biodegradable polymer scaffold loaded with VEGF.
Biomechanics and modeling in mechanobiology Dec, 2020 | Pubmed ID: 32488347
Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study.
Biomedical engineering online Nov, 2020 | Pubmed ID: 33256759
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.
Biomedical engineering online Apr, 2021 | Pubmed ID: 33823858
Optical Coherence Tomography-Based Patient-Specific Residual Multi-Thrombus Coronary Plaque Models With Fluid-Structure Interaction for Better Treatment Decisions: A Biomechanical Modeling Case Study.
Journal of biomechanical engineering Sep, 2021 | Pubmed ID: 33876192
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.
Frontiers in bioengineering and biotechnology , 2021 | Pubmed ID: 34497800
Quantifying Patient-Specific Coronary Plaque Material Properties for Accurate Stress/Strain Calculations: An IVUS-Based Multi-Patient Study.
Frontiers in physiology , 2021 | Pubmed ID: 34759832
Image-based biomechanical modeling for coronary atherosclerotic plaque progression and vulnerability prediction.
International journal of cardiology Apr, 2022 | Pubmed ID: 35149139
Predicting Coronary Stenosis Progression Using Plaque Fatigue From IVUS-Based Thin-Slice Models: A Machine Learning Random Forest Approach.
Frontiers in physiology , 2022 | Pubmed ID: 35620594
Image-Based Finite Element Modeling Approach for Characterizing In Vivo Mechanical Properties of Human Arteries.
Journal of functional biomaterials Sep, 2022 | Pubmed ID: 36135582
Quantification of patient-specific coronary material properties and their correlations with plaque morphological characteristics: An in vivo IVUS study.
International journal of cardiology Jan, 2023 | Pubmed ID: 36174818
Combining IVUS + OCT Data, Biomechanical Models and Machine Learning Method for Accurate Coronary Plaque Morphology Quantification and Cap Thickness and Stress/Strain Index Predictions.
Journal of functional biomaterials Jan, 2023 | Pubmed ID: 36662088
A new approach of using organ-on-a-chip and fluid-structure interaction modeling to investigate biomechanical characteristics in tissue-engineered blood vessels.
Frontiers in physiology , 2023 | Pubmed ID: 37275235
Biomechanical characterization of normal and pathological human ascending aortic tissues via biaxial testing Experiment, constitutive modeling and finite element analysis.
Computers in biology and medicine Nov, 2023 | Pubmed ID: 37857134
Plaque Ruptures Are Related to High Plaque Stress and Strain Conditions: Direct Verification by Using In Vivo OCT Rupture Data and FSI Models.
Arteriosclerosis, thrombosis, and vascular biology Jul, 2024 | Pubmed ID: 38721707
Automatic Segmentation of Type A Aortic Dissection on Computed Tomography Images Using Deep Learning Approach.
Diagnostics (Basel, Switzerland) Jun, 2024 | Pubmed ID: 39001223
Comparison of Biomechanical and Microstructural Properties of Aortic Graft Materials in Aortic Repair Surgeries.
Journal of functional biomaterials Aug, 2024 | Pubmed ID: 39330224
1Department of Cardiovascular Surgery, Shandong Second Provincial General Hospital,
2School of Biological Science and Medical Engineering, Southeast University,
3School of Mechanical, Medical and Process Engineering, Queensland University of Technology,
4School of Science, Nanjing University of Posts and Telecommunications,
5Department of Cardiology, Zhongda Hospital, Southeast University,
6Mathematical Sciences Department, Worcester Polytechnic Institute
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