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Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI
We propose a model-based deep learning architecture for the reconstruction of highly accelerated diffusion magnetic resonance imaging (MRI) that enables high resolution imaging. The proposed reconstruction jointly recovers all the diffusion weighted images in a single step from a joint k-q under-sam...
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| 出版年: | Proc IEEE Int Symp Biomed Imaging |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7872155/ https://ncbi.nlm.nih.gov/pubmed/33574989 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi45749.2020.9098593 |
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