“Self-Supervised Deep Learning Method for MRI Denoising Achieves Competitive Performance without Noise-Free Target Data”

https://pubmed.ncbi.nlm.nih.gov/38114575

This study presents a self-supervised deep learning method for MRI denoising that achieves competitive performance to supervised training without requiring noise-free target data, and allows adjustment of the denoising level using spatially resolved noise maps.