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A FAST ALGORITHM FOR STRUCTURED LOW-RANK MATRIX RECOVERY WITH APPLICATIONS TO UNDERSAMPLED MRI RECONSTRUCTION
Structured low-rank matrix priors are emerging as powerful alternatives to traditional image recovery methods such as total variation (TV) and wavelet regularization. The main challenge in applying these schemes to large-scale problems is the computational complexity and memory demand resulting from...
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| Yayımlandı: | Proc IEEE Int Symp Biomed Imaging |
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| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2016
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7985824/ https://ncbi.nlm.nih.gov/pubmed/33763178 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi.2016.7493322 |
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