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ACCELERATING DYNAMIC MAGNETIC RESONANCE IMAGING BY NONLINEAR SPARSE CODING
Although being high-dimensional, dynamic magnetic resonance images usually lie on low-dimensional manifolds. Nonlinear models have been shown to capture well that latent low-dimensional nature of data, and can thus lead to improvements in the quality of constrained recovery algorithms. This paper ad...
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| Publicado no: | Proc IEEE Int Symp Biomed Imaging |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6839784/ https://ncbi.nlm.nih.gov/pubmed/31709030 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2016.7493319 |
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