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A miniature U-net for k-space-based parallel magnetic resonance imaging reconstruction with a mixed loss function
BACKGROUND: Deep learning-based magnetic resonance imaging (MRI) methods require in most cases a separate dataset with thousands of images for each anatomical site to train the network model. This paper proposes a miniature U-net method for k-space-based parallel MRI where the network model is train...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403593/ https://www.ncbi.nlm.nih.gov/pubmed/36060590 http://dx.doi.org/10.21037/qims-21-1212 |