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Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging
Sparsity-based approaches have been popular in many applications in image processing and imaging. Compressed sensing exploits the sparsity of images in a transform domain or dictionary to improve image recovery from undersampled measurements. In the context of inverse problems in dynamic imaging, re...
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| Publicado no: | IEEE Trans Med Imaging |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5464968/ https://ncbi.nlm.nih.gov/pubmed/28092528 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2017.2650960 |
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