Kyle J. Myers

This paper introduces a physics-informed neural network to predict myocardial mechanics from physiological measurements, showing improved stress prediction and disease stratification in pulmonary hypertension.

This paper develops a super-resolution reconstruction framework to improve the quantification of complete spatiotemporal myocardial strains in mice using cardiac MRI.

This study uses a 1D-FSI model to quantify how vascular stiffening and resistance contribute to increased MPA pressure in pulmonary hypertension.

The paper develops a biophysical model of the lung to quantify pulmonary surfactant's effect on lung compliance by simulating respiration and surfactant dysfunction.