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Bi-Linear Modeling of Manifold-Data Geometry for Dynamic-MRI Recovery
This paper establishes a modeling framework for data located onto or close to (unknown) smooth manifolds, embedded in Euclidean spaces, and considers its application to dynamic magnetic resonance imaging (dMRI). The framework comprises several modules: First, a set of landmark points is identified t...
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| Publicat a: | Int Workshop Comput Adv Multisens Adapt Process |
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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/PMC6874403/ https://ncbi.nlm.nih.gov/pubmed/31763626 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CAMSAP.2017.8313115 |
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