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CALIBRATIONLESS PARALLEL MRI USING MODEL BASED DEEP LEARNING (C-MODL)
We introduce a fast model based deep learning approach for calibrationless parallel MRI reconstruction. The proposed scheme is a non-linear generalization of structured low rank (SLR) methods that self learn linear annihilation filters from the same subject. It pre-learns non-linear annihilation rel...
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| Vydáno v: | Proc IEEE Int Symp Biomed Imaging |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7877806/ https://ncbi.nlm.nih.gov/pubmed/33584976 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi45749.2020.9098490 |
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