1 citations · 1 across the 3 of their papers we have counts for
3 papers
Low-dose CT Enhancement Network with a Perceptual Loss Function in the Spatial Frequency and Image Domains
Kevin J. Chung, Roberto Souza, Richard Frayne +1
We propose a dual-domain cascade of U-nets (i.e. a "W-net") operating in both the spatial frequency and image domains to enhance low-dose CT (LDCT) images without the need for prop…
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction
Roberto Souza, Mariana Bento, Nikita Nogovitsyn +3
The U-net is a deep-learning network model that has been used to solve a number of inverse problems. In this work, the concatenation of two-element U-nets, termed the W-net, operat…
Silver Standard Masks for Data Augmentation Applied to Deep-Learning-Based Skull-Stripping
Oeslle Lucena, Roberto Souza, Letícia Rittner +2
The bottleneck of convolutional neural networks (CNN) for medical imaging is the number of annotated data required for training. Manual segmentation is considered to be the "gold-s…