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JOINT OPTIMIZATION OF SAMPLING PATTERN AND PRIORS IN MODEL BASED DEEP LEARNING
Deep learning methods are emerging as powerful alternatives for compressed sensing MRI to recover images from highly undersampled data. Unlike compressed sensing, the image redundancies that are captured by these models are not well understood. The lack of theoretical understanding also makes it cha...
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| Veröffentlicht in: | Proc IEEE Int Symp Biomed Imaging |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7877807/ https://ncbi.nlm.nih.gov/pubmed/33584975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi45749.2020.9098639 |
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