Automated segmentation and volumetry of brain magnetic resonance imaging...
Image translation based on a generative adversarial network (GAN-IT) is ...
Peripherally inserted central catheters (PICCs) have been widely used as...
Although weakly supervised semantic segmentation using only image-level
...
Recent theoretical works based on the neural tangent kernel (NTK) have s...
A pre-trained generator has been frequently adopted in compressed sensin...
We consider the problem of sparse phase retrieval from Fourier transform...
A greedy algorithm called Bayesian multiple matching pursuit (BMMP) is
p...
We consider the classical sparse regression problem of recovering a spar...