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MLS: Joint Manifold-Learning and Sparsity-Aware Framework for Highly Accelerated Dynamic Magnetic Resonance Imaging
Manifold-based models have been recently exploited for accelerating dynamic magnetic resonance imaging (dMRI). While manifold-based models have shown to be more efficient than conventional low-rank approaches, joint low-rank and sparsity-aware modeling still appears to be very efficient due to the i...
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| Publicat a: | Proc IEEE Int Symp Biomed Imaging |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6469692/ https://ncbi.nlm.nih.gov/pubmed/31007840 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2018.8363789 |
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