2004
Segmentation of 3D Deformable Objects with Level Set Based Prior Models
Yang J, Tagare HD, Staib LH, Duncan JS. Segmentation of 3D Deformable Objects with Level Set Based Prior Models. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2004, 1: 85-88. PMID: 20300448, PMCID: PMC2840654, DOI: 10.1109/isbi.2004.1398480.Peer-Reviewed Original ResearchMultiple objectsMedical imagesObject shapeExplicit point correspondencesShape prior constraintVariation of objectsTraining imagesMultidimensional dataTraining phaseDeformable modelDeformable objectsPoint correspondencesSegmentationPrior constraintsPrior informationLevel set functionPrior modelEstimation modelImagesObjectsLevel setsSet functionMaximum ARepresentationPoint distribution
1999
A New Approach to 3D Sulcal Ribbon Finding from MR Images
Zeng X, Staib L, Schultz R, Tagare H, Win L, Duncan J. A New Approach to 3D Sulcal Ribbon Finding from MR Images. Lecture Notes In Computer Science 1999, 1679: 148-157. DOI: 10.1007/10704282_16.Peer-Reviewed Original ResearchGeneral segmentation methodsMR brain imagesDistance functionLittle manual interventionDeformable surface modelSegmentation workSegmentation methodManual interventionNew approachBrain imagesContour modelCortex segmentationDynamic programmingLevel setsNatural followImagesMR imagesControl problemSurface modelSegmentationQuantitative resultsProgramming
1988
Left Ventricular Motion and Shape Analysis Using Multiple Imaging Modalities
Duncan J, Staib L. Left Ventricular Motion and Shape Analysis Using Multiple Imaging Modalities. 1988, 457-470. DOI: 10.1007/978-1-4615-7263-3_30.Peer-Reviewed Original ResearchImage understanding systemImage-derived informationImage understandingQuantitative opinionsUnderstanding systemAvailability of dataEvidential reasoningMultiple imaging modalitiesReasoning strategiesRelative informationConcise waySpecific problemsLevel setsAnalysis systemDiagnostic imagesSystem assessmentCardiac shapeInformationLV motionPatient's heartKey featuresShape analysisDegree of confidenceSystemQuantitative results