3 papers
eess.IV2023
Multi-scale MRI reconstruction via dilated ensemble networks
Wendi Ma, Marlon Bran Lorenzana, Wei Dai +2
As aliasing artefacts are highly structural and non-local, many MRI reconstruction networks use pooling to enlarge filter coverage and incorporate global context. However, this ina…
eess.IV2023
Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach
Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra
Popular methods in compressed sensing (CS) are dependent on deep learning (DL), where large amounts of data are used to train non-linear reconstruction models. However, ensuring ge…
eess.IV2023
Fractal Compressive Sensing
Marlon Bran Lorenzana, Benjamin Cottier, Matthew Marques +2
This paper introduces a sparse projection matrix composed of discrete (digital) periodic lines that create a pseudo-random (p.frac) sampling scheme. Our approach enables random Car…