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5. TCT-613 Comparison of Histology-Trained Deep Learning Approach With Human Expert Analysts for Automated Plaque Component Classification in Hybrid Intravascular Ultrasound-Optical Coherence Tomography Images

6. A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteries

8. BS12 A novel physics-based artificial intelligence technique rapidly reconstructs the 3D velocity, shear stress and pressure fields in coronary arteries.

16. JAG1-NOTCH4 mechanosensing drives atherosclerosis

17. TCT-254 Histology-Trained Deep Learning Methodology for Automated Coronary Plaque Component Classification in Combined Intravascular Ultrasound-Optical Coherence Tomography Images

20. The Influence of Shear Stress on Restenosis

21. Visualization of the Vulnerable Plaque

22. Multi-Dimensional Computed Coronary Visualization

23. Diagnosis of vulnerable plaques in the cardiac catheterization laboratory

24. Zebrafish Model for Functional Screening of Flow-Responsive Genes

25. Systems and synthetic biology of the vessel wall

38. Stabilization of atherosclerotic plaques: an update

39. Shear stress-induced changes in atherosclerotic plaque composition are modulated by chemokines

42. Intravascular ultrasound tissue harmonic imaging in vivo

44. Shear Stress Estimated by Quantitative Coronary Angiography Predicts Plaques Prone to Progress and Cause Events

45. 3D co-registration algorithm for catheter-based optical coherence tomography

50. Shear stress and the vulnerable plaque

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