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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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| Publié dans: | Proc IEEE Int Symp Biomed Imaging |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2020
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| Sujets: | |
| Accès en ligne: | 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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