2023
SVD Compression for Nonlinear Encoding Imaging with Model-based Deep Learning Reconstruction
Zhang Z, Selvaganesan K, Ha Y, Sun C, Samardzija A, Sun H, Galiana G, Constable R. SVD Compression for Nonlinear Encoding Imaging with Model-based Deep Learning Reconstruction. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/0833.Peer-Reviewed Original ResearchDeep learning reconstructionModel-based networkLearning reconstructionEncoded imageGPU memoryRegularization termEncoding matrixGraph nodesGaussian noiseSimulated Gaussian noiseBloch-SiegertEncoding dimensionEncodingSVDModel partPhysical model partNetworkGPUMR scannerNonlinear caseNodesRedundancyReconstructionCompressionNoise
1999
ROC Analysis of Statistical Methods Used in Functional MRI: Individual Subjects
Skudlarski P, Constable R, Gore J. ROC Analysis of Statistical Methods Used in Functional MRI: Individual Subjects. NeuroImage 1999, 9: 311-329. PMID: 10075901, DOI: 10.1006/nimg.1999.0402.Peer-Reviewed Original ResearchConceptsNonparametric Mann-Whitney statisticsWhite Gaussian noiseStatistical methodsMann-Whitney statisticCluster filteringEfficacy of analysisGaussian noiseCharacteristic methodSpatial smoothingComplicated structureOptimal block lengthT-statisticPower of analysisFilteringLow-pass filteringMost methodsCross-correlation coefficientNoise sourcesStatisticsTime-course levelsNoiseStatistical analysisAssumptionHigh-pass filteringAnalytical method