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A Multi-Scale Residual Network for Accelerated Radial MR Parameter Mapping
A deep learning MR parameter mapping framework which combines accelerated radial data acquisition with a multi-scale residual network (MS-ResNet) for image reconstruction is proposed. The proposed supervised learning strategy uses input image patches from multi-contrast images with radial undersampl...
Tallennettuna:
| Julkaisussa: | Magn Reson Imaging |
|---|---|
| Päätekijät: | , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7580302/ https://ncbi.nlm.nih.gov/pubmed/32882339 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2020.08.013 |
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