Bahetihazi Maidu

This paper introduces Bayesian VFM (B-VFM) to address ill-posedness in vector flow mapping by jointly inferring velocity fields, segmentation masks, and uncertainties using Bayesian inference.

This paper develops two methods to estimate left atrial blood residence time from 4D CT contrast data, showing that indicator dilution theory provides faster, more accurate results than a physics-informed neural network.

This paper introduces AI-VFM, a physics-informed neural network method for super-resolution left ventricular flow and pressure mapping from echocardiographic data.