Sensitivity analysis of the mechanical properties on atherosclerotic arteries rupture risk with an artificial neural network method
Author:
Affiliation:
1. Department of Engineering Mechanics, Dalian Jiaotong University, P.R. China
Funder
Department of Education of Liaoning Province
Dalian Science and Technology Innovation Fund
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10255842.2024.2305862
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1. Mechanistic evaluation of long-term in-stent restenosis based on models of tissue damage and growth
2. Abaqus 6.14 documentation. 2014.
3. Layer-specific hyperelastic and viscoelastic characterization of human descending thoracic aortas
4. Numerical simulation of arterial dissection during balloon angioplasty of atherosclerotic coronary arteries
5. Method for the quantification of rupture probability in soft collagenous tissues
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