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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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Detalhes bibliográficos
Publicado no:Int Workshop Comput Adv Multisens Adapt Process
Main Authors: Slavakis, Konstantinos, Shetty, Gaurav N., Bose, Abhishek, Nakarmi, Ukash, Ying, Leslie
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
Assuntos:
Acesso em linha: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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