2022
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities
Merkaj S, Bahar RC, Zeevi T, Lin M, Ikuta I, Bousabarah K, Petersen G, Staib L, Payabvash S, Mongan JT, Cha S, Aboian MS. Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities. Cancers 2022, 14: 2623. PMID: 35681603, PMCID: PMC9179416, DOI: 10.3390/cancers14112623.Peer-Reviewed Original ResearchMachine learning toolsGrade predictionLearning toolsML applicationsClassifier algorithmML modelsClassification methodMedical imagingData sourcesPractices of radiologistsToolGlioma gradingNext stepWorkflowAlgorithmChallengesTechnological innovationImplementationPredictionModelLast decadeSpecific areas
2009
Volumetric Shape Model for Oriented Tubular Structure from DTI Data
Ho HP, Papademetris X, Wang F, Blumberg HP, Staib LH. Volumetric Shape Model for Oriented Tubular Structure from DTI Data. Lecture Notes In Computer Science 2009, 12: 18-25. PMID: 20426091, PMCID: PMC2863144, DOI: 10.1007/978-3-642-04271-3_3.Peer-Reviewed Original ResearchConceptsBrain DTI dataMagnetic resonance diffusion tensor imagesContinuous modelStatistical methodsDiffusion tensor imagesSynthetic dataShape modelBoundary findingPoint correspondencesShape priorsDTI dataShape analysisVolumetric shapeTensor imagesWhole volumePriorsShape normalizationVolumetric shape modelsModelShapeOrientation information
2000
Physical model-based non-rigid registration incorporating statistical shape information
Wang Y, Staib L. Physical model-based non-rigid registration incorporating statistical shape information. Medical Image Analysis 2000, 4: 7-20. PMID: 10972317, DOI: 10.1016/s1361-8415(00)00004-9.Peer-Reviewed Original ResearchConceptsStatistical shape informationStatistical shape modelDeformable elastic solidsComplex anatomical detailsIntensity similarity measureShape modelBayesian formulationBoundary shape informationViscous fluidCorresponding boundary pointsElastic solidsBoundary pointsDense setPhysical modelRobust approachSparse setReal medical imagesNumber of experimentsFirst methodShape informationSimilarity measureSetPhysical propertiesModelSmoothness
1998
Elastic model based non-rigid registration incorporating statistical shape information
Wang Y, Staib L. Elastic model based non-rigid registration incorporating statistical shape information. Lecture Notes In Computer Science 1998, 1496: 1162-1173. DOI: 10.1007/bfb0056306.Peer-Reviewed Original ResearchStatistical shape informationStatistical shape modelComplex anatomical detailsIntensity similarity measureShape modelElastic modelBayesian formulationBoundary shape informationCorresponding boundary pointsBoundary pointsDense setPhysical modelSparse setReal medical imagesNumber of experimentsShape informationRobust non-rigid registrationNew methodSimilarity measureModelSet
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