1992
Boundary finding with parametrically deformable models
Staib L, Duncan J. Boundary finding with parametrically deformable models. IEEE Transactions On Pattern Analysis And Machine Intelligence 1992, 14: 1061-1075. DOI: 10.1109/34.166621.Peer-Reviewed Original ResearchBoundary findingDeformable modelElliptic Fourier decompositionProbabilistic deformable modelGlobal shape informationShape informationSynthetic imagesOptimization problemFlexible constraintsPrior informationImage qualityIrregularity of shapeObjective functionPosteriori objective functionInformationSegmentationParametric modelProbability distributionImagesObjectsModelRepresentationConstraints
1989
Left ventricular analysis from cardiac images using deformable models
Staib L, Duncan J. Left ventricular analysis from cardiac images using deformable models. 1989, 427-430. DOI: 10.1109/cic.1988.72651.Peer-Reviewed Original ResearchDeformable modelImage understanding systemElliptic Fourier decompositionProbabilistic deformable modelCardiac image sequencesIntelligent segmentationSegmentation problemImage dataImage sequencesUnderstanding systemCardiac imagesOptimization problemFlexible constraintsLeft ventricular analysisIrregularity of shapeNatural objectsSegmentationQuantitative evaluationGood matchParametric modelVentricular analysisImagesSystemObjectsModelParametrically deformable contour models
Staib L, Duncan J. Parametrically deformable contour models. 2015 IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 1989, 98-103. DOI: 10.1109/cvpr.1989.37834.Peer-Reviewed Original ResearchElliptic Fourier decompositionProbabilistic deformable modelVariety of imagesDeformable contour modelSegmentation problemImage dataBoundary findingShape informationDeformable modelInitial experimentationContour modelOptimization problemFlexible constraintsIrregularity of shapeBetter resultsNatural objectsSegmentationGood matchParametric modelImagesObjectsExperimentationModelInformationConstraints