Dual-branch MRI denoising and motion artifact suppression with uncertainty estimation and segmentation-based evaluation.
BACKGROUND Magnetic resonance (MR) images are essential for clinical diagnosis, yet their quality is often compromised by noise and motion artifacts, potentially obscuring anatomical details and reducing diagnostic accuracy. Existing deep learning approaches frequently address denoising and motion artifact suppression...