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DEEP GENERATIVE STORM MODEL FOR DYNAMIC IMAGING
We introduce a novel generative smoothness regularization on manifolds (SToRM) model for the recovery of dynamic image data from highly undersampled measurements. The proposed generative framework represents the image time series as a smooth non-linear function of low-dimensional latent vectors that...
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| Publicat a: | Proc IEEE Int Symp Biomed Imaging |
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| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8320670/ https://ncbi.nlm.nih.gov/pubmed/34336134 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi48211.2021.9433839 |
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