Non-Parametric Bayesian Deep Learning Approach for Uncertainty-Aware MRI Reconstruction from Undersampled Data

A non-parametric Bayesian deep learning framework is proposed to reconstruct high-quality MRI images from undersampled k-space data while providing quantitative measures of uncertainty in the reconstructed images.