Emilio A. Mendiola

Computational modeling of left ventricular flow using PC-CMR-derived four-dimensional wall motion

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

Dissecting contributions of pulmonary arterial remodeling to right ventricular afterload in pulmonary hypertension

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

Multi-Modality Deep Infarct: Non-invasive identification of infarcted myocardium using composite in-silico-human data learning

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.

In-silico heart model phantom to validate cardiac strain imaging

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