PABCNet: A super-resolution network for non-contrast coronary MRA with inter-slice fusion and Bayesian confidence quantification.
BACKGROUND AND OBJECTIVE Non-contrast coronary magnetic resonance angiography (NC-CMRA) suffers from inherent low spatial resolution, whereas existing deep learning-based super-resolution methods offer no reliability assessment, which hinders their clinical adoption. METHODS To bridge this gap, we develop a task-tail...