Compressive Manifold Learning: Estimating One-Dimensional Respiratory Motion Directly from Undersampled k-Space Data

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dc.contributor.authorUsman, M.
dc.contributor.authorVaillant, G.
dc.contributor.authorAtkinson, D.
dc.contributor.authorSchaeffter, T.
dc.contributor.authorPrieto Vásquez, Claudia
dc.date.accessioned2020-10-02T00:07:20Z
dc.date.available2020-10-02T00:07:20Z
dc.date.issued2014
dc.fuente.origenConveris
dc.identifier.doi10.1002/mrm.25010
dc.identifier.issn0740-3194
dc.identifier.issn1522-2594
dc.identifier.urihttps://doi.org/10.1002/mrm.25010
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/46399
dc.issue.numeroNo. 4
dc.language.isoen
dc.pagina.final1140
dc.pagina.inicio1130
dc.revistaMagnetic Resonance in Medicinees_ES
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.subject.otherResonancia magnética -Técnicaes_ES
dc.subject.otherPulmón - Radiografíaes_ES
dc.subject.otherMecánica respiratoriaes_ES
dc.titleCompressive Manifold Learning: Estimating One-Dimensional Respiratory Motion Directly from Undersampled k-Space Dataes_ES
dc.typeartículo
dc.volumenVol. 72
sipa.codpersvinculados14195
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