2015
Accelerate Single-Shot Data Acquisitions Using Compressed Sensing and Fronsac Imaging
Wang H, Constable R, Galiana G. Accelerate Single-Shot Data Acquisitions Using Compressed Sensing and Fronsac Imaging. 2015, 1252-1255. DOI: 10.1109/isbi.2015.7164101.Peer-Reviewed Original Research
2014
Pseudo‐random center placement O‐space imaging for improved incoherence compressed sensing parallel MRI
Tam LK, Galiana G, Stockmann JP, Tagare H, Peters DC, Constable RT. Pseudo‐random center placement O‐space imaging for improved incoherence compressed sensing parallel MRI. Magnetic Resonance In Medicine 2014, 73: 2212-2224. PMID: 25042143, PMCID: PMC4297603, DOI: 10.1002/mrm.25364.Peer-Reviewed Original ResearchConceptsO-space imagingCompressed SensingMean squared errorSquared errorConvex programIncoherence parameterSparsity levelSEM fieldsO spaceField modulationMaximum interferenceCS approachSparse domainNominal valueReceiver arrayErrorParallel MRIImage reconstructionAppropriate samplingSingle pointReduced errorIncoherenceTheory
2008
Compressive Mahalanobis Classifiers
Barbano P, Coifman R. Compressive Mahalanobis Classifiers. 2008, 345-349. DOI: 10.1109/mlsp.2008.4685504.Peer-Reviewed Original ResearchPre-processing schemeData acquisition levelClassification algorithmsCompressed SensingDetection/estimationHyperspectral imagesMahalanobis classifierMain ideaNew frameworkSalient informationAlgorithmGlobal metricsAcquisition levelClassifierNew techniqueImagesMetricsDimensionalitySchemeFrameworkInformationSensingData
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