The Impact of Self-Supervised Denoising on Deep Learning-Based Multi-Coil MRI Reconstruction

Self-supervised denoising of training data significantly improves the quality and efficiency of deep learning-based MRI reconstruction, particularly in low SNR scenarios, across both generative and end-to-end models.