Reviews: Deep ADMM-Net for Compressive Sensing MRI

The experimental results appear to very good compared to other CS-MRI approaches, since the proposed ADMM-Net offers both high quality and fast runtime, whereas the competing methods either have only fast runtime or good reconstruction quality. I think generalization of the learned network is an important point that deserves more emphasis. It is only briefly mentioned (l. Would this kind of generalization ability be useful in practice if this were to be used with an actual MRI machine? Overall, the proposed unrolled inference approach is similar to [19], which uses a similar data prior with similar inference (but without Lagrange multipliers) for image denoising and deconvolution.