Search Results for author: Richard Frayne

Found 4 papers, 3 papers with code

Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction

no code implementations4 Nov 2019 Roberto Souza, Mariana Bento, Nikita Nogovitsyn, Kevin J. Chung, R. Marc Lebel, Richard Frayne

The two element network combinations were evaluated for the four possible image-k-space domain configurations: a) W-net II, b) W-net KK, c) W-net IK, and d) W-net KI were evaluated.

Image Reconstruction

A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction

1 code implementation30 Oct 2018 Roberto Souza, Richard Frayne

Our experiments demonstrated, using MR raw k-space data, that the proposed hybrid approach can potentially improve CS reconstruction compared to deep-learning networks that operate only in the image domain.

Image Reconstruction

Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks

1 code implementation13 Apr 2018 Oeslle Lucena, Roberto Souza, Leticia Rittner, Richard Frayne, Roberto Lotufo

Our use of silver standard masks reduced the cost of manual annotation, decreased inter-intra-rater variability, and avoided CNN segmentation super-specialization towards one specific manual annotation guideline that can occur when gold standard masks are used.

Skull Stripping

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