Open access
2026
SRNR: Deep learning-based MRI super-resolution using noisy high-resolution reference data.
Deep learning-based super-resolution (SR) techniques offer a powerful tool to enhance the spatial resolution of magnetic resonance imaging (MRI) without increasing scan time. However, most supervised SR methods rely on high-resolution, high-signal-to-noise ratio (SNR) reference data for training, which are difficult to...
Mu-Ye Zhang, Hong-Jia Yang, Zi-Han Li et al.
· Imaging neuroscience · 0 citations