zn473

I went to a medical imaging workshop recently, and the consensus was that deep learning approaches will completely replace classical compressed sensing. They are using the same principles of acquiring randomized samples, so it's still compressed sensing, they just produce dramatically better results than classical CS techniques.

The adversary in this work never sees non-reconstructed images, so it looks like it's completely unrelated to SRGAN.

Yes, although currently scans are typically done at "full clarity" following a "standard" clinical protocol that is the same for everyone. It's generally thought that in the future the field will move towards using scans are are more tailored to each particular patient.