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DYNAMIC MRI USING DEEP MANIFOLD SELF-LEARNING
We propose a deep self-learning algorithm to learn the manifold structure of free-breathing and ungated cardiac data and to recover the cardiac CINE MRI from highly undersampled measurements. Our method learns the manifold structure in the dynamic data from navigators using autoencoder network. The...
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| Publicat a: | Proc IEEE Int Symp Biomed Imaging |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7885794/ https://ncbi.nlm.nih.gov/pubmed/33603956 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi45749.2020.9098382 |
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