Dipan J. Shah

This study integrates MRI modalities with computational fluid dynamics to model left ventricular flow, improving clinical assessment of cardiac hemodynamics without complex myocardial modeling.

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

This paper develops a non-invasive ML model to identify infarcted myocardium using cardiac strain data, combining synthetic rodent data with limited human data to predict LGE ground truth.

This paper introduces an in-silico heart phantom to validate cardiac strain imaging algorithms by simulating 4D cardiac motion and testing strain quantification accuracy.