Mu-Ye Zhang

SRNR: Deep learning-based MRI <b>S</b> uper- <b>R</b> esolution using <b>N</b> oisy high-resolution <b>R</b> eference 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...