Machine Learning for Medical Image Analysis
We develop machine learning algorithms to construct highly personalized computer models of the heart from multi-modality patient medical images for computational simulations of cardiac mechanics.
Data-Driven Analysis of Cardiac Mechanics
We use deep generative models to understand the effect of structural abnormalities on cardiac mechanics.
Machine Learning for Computational Simulations of Cardiac Mechanics
We aim to develop machine learning algorithms that enhance the efficiency and accuracy of computational cardiac simulations to enable virtual treatment planning for individual patients.