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Dual-Domain Convolutional Neural Networks for Improving Structural Information in 3T MRI
We propose a novel dual-domain convolutional neural network framework to improve structural information of routine 3T images. We introduce a parameter-efficient butterfly network that involves two complementary domains: a spatial domain and a frequency domain. The butterfly network allows the intera...
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| Publicado no: | Magn Reson Imaging |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6874896/ https://ncbi.nlm.nih.gov/pubmed/31175927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.05.023 |
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