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Optimal compressed sensing reconstructions of fMRI using 2D deterministic and stochastic sampling geometries.

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Title: Optimal compressed sensing reconstructions of fMRI using 2D deterministic and stochastic sampling geometries.
Authors: Jeromin, Oliver1,2, Pattichis, Marios S.1 pattichis@ece.unm.edu, Calhoun, Vince D.1,3
Source: BioMedical Engineering OnLine. 2012, Vol. 11 Issue 1, p1-36. 36p. 4 Black and White Photographs, 14 Charts, 4 Graphs.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22BioMedical+Engineering+OnLine%22">BioMedical Engineering OnLine</searchLink>. 2012, Vol. 11 Issue 1, p1-36. 36p. 4 Black and White Photographs, 14 Charts, 4 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=86883320
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        Value: 10.1186/1475-925X-11-25
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      – Code: eng
        Text: English
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      – TitleFull: Optimal compressed sensing reconstructions of fMRI using 2D deterministic and stochastic sampling geometries.
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