375 citations · 1k across the 24 of their papers we have counts for
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eess.IV2020
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging
Marija Vella, João F. C. Mota
The remarkable performance of deep neural networks (DNNs) currently makes them the method of choice for solving linear inverse problems. They have been applied to super-resolve and…
cs.CV2020★ 17 cited
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization
Marija Vella, João F. C. Mota
Single-image super-resolution is the process of increasing the resolution of an image, obtaining a high-resolution (HR) image from a low-resolution (LR) one. By leveraging large tr…