Patch2Self was brought to my attention by a colleague and was also announced on Neurostars yesterday: https://neurostars.org/t/patch2self-self-supervised-denoiser-for-diffusion-mri-data-let-your-old-data-live-a-new-life/17671 The paper explaining more can also be found here: https://arxiv.org/pdf/2011.01355.pdf They include comparisons with MP-PCA. The method is also implemented in dipy. EDIT: I'm editing this issue to make note of some of the new methods and comparisons introduced at ISMRM.