Cite

    Wang, L., Tang, D., Maehara, A., Wu, Z., Yang, C., Muccigrosso, D., Matsumura, M., Zheng, J., Bach, R., Billiar, K. L., Stone, G. W., & Mintz, G. S. (2020). using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change. Computer methods in biomechanics and biomedical engineering, 23(15), 1267–1276. http://access.bl.uk/ark:/81055/vdc_100117907425.0x00003b