Jia-Lan Zheng

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...