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Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction
BACKGROUND: Robust Artificial-neural-networks for k-space Interpolation (RAKI) is a recently proposed deep-learning-based reconstruction algorithm for parallel imaging. Its main premise is to perform k-space interpolation using convolutional neural networks (CNNs) trained on subject-specific autocal...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808331/ https://www.ncbi.nlm.nih.gov/pubmed/31644542 http://dx.doi.org/10.1371/journal.pone.0223315 |