Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Springer Verlag
2018
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sg-nus-scholar.10635-1461422024-11-08T21:22:24Z Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries Fang R. Chen T. Sanelli P.C. DEPARTMENT OF COMPUTER SCIENCE OFFICE OF THE PROVOST Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7510 LNCS 272-280 2018-08-21T04:58:42Z 2018-08-21T04:58:42Z 2012 Conference Paper Fang R., Chen T., Sanelli P.C. (2012). Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7510 LNCS : 272-280. ScholarBank@NUS Repository. 9783642334146 03029743 http://scholarbank.nus.edu.sg/handle/10635/146142 Springer Verlag Scopus |
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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DEPARTMENT OF COMPUTER SCIENCE |
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DEPARTMENT OF COMPUTER SCIENCE Fang R. Chen T. Sanelli P.C. |
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Conference or Workshop Item |
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Fang R. Chen T. Sanelli P.C. |
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Fang R. Chen T. Sanelli P.C. Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries |
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Fang R. |
title |
Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries |
title_short |
Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries |
title_full |
Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries |
title_fullStr |
Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries |
title_full_unstemmed |
Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries |
title_sort |
sparsity-based deconvolution of low-dose perfusion ct using learned dictionaries |
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Springer Verlag |
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2018 |
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http://scholarbank.nus.edu.sg/handle/10635/146142 |
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1821186691445030912 |