Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment

no code implementations • 3 Aug 2023 • Yasin Shokrollahi1, Pengfei Dong1, Xianqi Li, Linxia Gu

The trained U-Net models can accurately predict von Mises stress and strain fields, with structural similarity index scores (SSIM) of 0. 854 and 0. 830 and mean squared errors of 0. 017 and 0. 018 for stress and strain, respectively, on a reserved test set.

Generative Adversarial Network SSIM +1