2023
A Multiclass Radiomics Method–Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans
Henao J, Depotter A, Bower D, Bajercius H, Todorova P, Saint-James H, de Mortanges A, Barroso M, He J, Yang J, You C, Staib L, Gange C, Ledda R, Caminiti C, Silva M, Cortopassi I, Dela Cruz C, Hautz W, Bonel H, Sverzellati N, Duncan J, Reyes M, Poellinger A. A Multiclass Radiomics Method–Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans. Investigative Radiology 2023, 58: 882-893. PMID: 37493348, PMCID: PMC10662611, DOI: 10.1097/rli.0000000000001005.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceCOVID-19Disease ProgressionHumansLungRetrospective StudiesTomography, X-Ray ComputedConceptsCOVID-19 positive patientsClinical Progression ScaleLung lesionsLesion modelDisease severityGround-glass opacitiesCOVID-19 patientsRadiologist assessmentExpert thoracic radiologistsMulticenter cohortPleural effusionDisease extentRetrospective studyDevelopment cohortPatient assessmentTomography scanCT scanSeverity ScalePatient's diseaseTissue lesionsThoracic radiologistsLesionsPatientsRadiomics modelRadiomic features
2013
Segmentation of 4D Echocardiography Using Stochastic Online Dictionary Learning
Huang X, Dione DP, Lin BA, Bregasi A, Sinusas AJ, Duncan JS. Segmentation of 4D Echocardiography Using Stochastic Online Dictionary Learning. Lecture Notes In Computer Science 2013, 16: 57-65. PMID: 24505744, DOI: 10.1007/978-3-642-40760-4_8.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnimalsArtificial IntelligenceData Interpretation, StatisticalDogsEchocardiography, Four-DimensionalImage EnhancementImage Interpretation, Computer-AssistedMyocardial InfarctionPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificityStochastic ProcessesSubtraction Technique
2012
Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory
Lu C, Zheng Y, Birkbeck N, Zhang J, Kohlberger T, Tietjen C, Boettger T, Duncan JS, Zhou SK. Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. Lecture Notes In Computer Science 2012, 15: 462-469. PMID: 23286081, DOI: 10.1007/978-3-642-33418-4_57.Peer-Reviewed Original ResearchConceptsMarginal Space LearningCT volumesChallenging segmentation problemInformation-theoretic schemesLearning-based approachComputer-aided diagnosisExcellent segmentation accuracyRobust boundary detectionInformation theoryPelvic organ segmentationSteerable featuresChallenging datasetArt solutionsOrgan segmentationSegmentation problemSpace learningSegmentation performanceSegmentation accuracyPrecise segmentationBoundary detectionJensen-Shannon divergenceTheoretic schemeInference processDiverse sourcesPrevious state
2011
A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy
Lu C, Chelikani S, Duncan JS. A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy. Lecture Notes In Computer Science 2011, 22: 525-537. PMID: 21761683, PMCID: PMC3889153, DOI: 10.1007/978-3-642-22092-0_43.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceComputer SimulationFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedModels, BiologicalModels, StatisticalPattern Recognition, AutomatedRadiotherapy, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueUterine Cervical Neoplasms
2010
A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint
Zhu Y, Papademetris X, Sinusas AJ, Duncan JS. A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint. Medical Image Analysis 2010, 14: 429-448. PMID: 20350833, PMCID: PMC4318707, DOI: 10.1016/j.media.2010.02.005.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnimalsArtificial IntelligenceComputer SystemsDogsEchocardiography, Three-DimensionalElasticity Imaging TechniquesHumansImage EnhancementImage Interpretation, Computer-AssistedPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueConceptsDeformable modelImage-derived informationLV endocardial boundariesImage acquisition techniquesFinal segmentationAutomatic algorithmGround truthManual segmentationVolumetric imagesSegmentationSynthetic dataEndocardial boundaryNumber of effortsMyocardial bordersEpicardial boundariesAcquisition techniquesInstantaneous acquisitionConstraintsImagesEchocardiographic imagesSetSpeckle statisticsAlgorithmReal-time echocardiography
2009
Constrained non-rigid registration for use in image-guided adaptive radiotherapy
Greene WH, Chelikani S, Purushothaman K, Knisely JP, Chen Z, Papademetris X, Staib LH, Duncan JS. Constrained non-rigid registration for use in image-guided adaptive radiotherapy. Medical Image Analysis 2009, 13: 809-817. PMID: 19682945, PMCID: PMC2771756, DOI: 10.1016/j.media.2009.07.004.Peer-Reviewed Original ResearchAlgorithmsArtificial IntelligenceHumansMalePattern Recognition, AutomatedProstatic NeoplasmsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiotherapy, Computer-AssistedRadiotherapy, ConformalReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueTomography, X-Ray ComputedA dynamical shape prior for LV segmentation from RT3D echocardiography.
Zhu Y, Papademetris X, Sinusas AJ, Duncan JS. A dynamical shape prior for LV segmentation from RT3D echocardiography. 2009, 12: 206-13. PMID: 20425989, PMCID: PMC7814293.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceComputer SimulationComputer SystemsEchocardiography, Three-DimensionalHeart VentriclesHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalModels, AnatomicPattern Recognition, AutomatedPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueConceptsSubject-specific dynamical modelCurrent frameMotion patternsRecursive Bayesian frameworkSegmentation taskPast framesAutomatic segmentationPrevious frameSegmentation processLV segmentationManual segmentationSegmentationIntensity informationCardiac sequenceEchocardiographic sequencesStatic modelPrior knowledgeTemporal coherenceCardiac motionCardiac modelsBayesian frameworkGeneric dynamical modelEchocardiographic imagesFrameInter-subject variability
2008
Automated 2D–3D registration of portal images and CT data using line‐segment enhancement
Munbodh R, Chen Z, Jaffray DA, Moseley DJ, Knisely JP, Duncan JS. Automated 2D–3D registration of portal images and CT data using line‐segment enhancement. Medical Physics 2008, 35: 4352-4361. PMID: 18975681, PMCID: PMC3910153, DOI: 10.1118/1.2975143.Peer-Reviewed Original ResearchAlgorithmsArtificial IntelligenceHumansImaging, Three-DimensionalMalePattern Recognition, AutomatedProstatic NeoplasmsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiotherapy, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueTomography, X-Ray ComputedMotion tracking of the outer tips of microtubules
Hadjidemetriou S, Toomre D, Duncan J. Motion tracking of the outer tips of microtubules. Medical Image Analysis 2008, 12: 689-702. PMID: 18571462, DOI: 10.1016/j.media.2008.04.004.Peer-Reviewed Original ResearchConceptsMicrotubule assemblyCoordination of mitosisTransport of chromosomesHigh throughput quantitative studiesNumerous critical rolesMicrotubule tipsLiving cellsCell migrationStructural tracksConfocal microscopyEpifluorescent microscopyNeurodegenerative diseasesCritical roleCell pathologyMicrotubulesAssemblyCellsSequenceOuter tipChromosomesOrganellesMitosisAbnormal functionCytoplasmVesiclesBidirectional Segmentation of Three-Dimensional Cardiac MR Images Using a Subject-Specific Dynamical Model
Zhu Y, Papademetris X, Sinusas AJ, Duncan JS. Bidirectional Segmentation of Three-Dimensional Cardiac MR Images Using a Subject-Specific Dynamical Model. Lecture Notes In Computer Science 2008, 11: 450-457. PMID: 18982636, PMCID: PMC2829658, DOI: 10.1007/978-3-540-85990-1_54.Peer-Reviewed Original ResearchConceptsSubject-specific dynamical modelGeneric dynamical modelDynamical modelSpecific dynamical modelLocal shape variationsDynamic prediction algorithmCardiac sequenceStatistical modelStatic modelModel-based segmentationCardiac dynamicsPeriodic natureMotionCardiac motionAlgorithmShape variationSegmentation errorsErrorModelOne-outPrediction algorithmPropagationCardiac MR imagesCertain framesSegmentation results
2007
Segmentation of Myocardial Volumes from Real-Time 3D Echocardiography Using an Incompressibility Constraint
Zhu Y, Papademetris X, Sinusas A, Duncan JS. Segmentation of Myocardial Volumes from Real-Time 3D Echocardiography Using an Incompressibility Constraint. Lecture Notes In Computer Science 2007, 10: 44-51. PMID: 18051042, DOI: 10.1007/978-3-540-75757-3_6.Peer-Reviewed Original ResearchConceptsAutomatic segmentationImage-derived informationLV endocardial boundariesFinal representationManual segmentationSegmentationEndocardial boundaryEpicardial boundariesReal-time 3D echocardiographyTight couplingNew approachThree-dimensional shapeConstraintsVariety of effortsRepresentationInformationNew imaging modalitySetLV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images
Yan P, Jia CX, Sinusas A, Thiele K, O’Donnell M, Duncan JS. LV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images. Lecture Notes In Computer Science 2007, 20: 233-244. PMID: 17633703, DOI: 10.1007/978-3-540-73273-0_20.Peer-Reviewed Original ResearchA Comprehensive System for Intraoperative 3D Brain Deformation Recovery
DeLorenzo C, Papademetris X, Vives KP, Spencer DD, Duncan JS. A Comprehensive System for Intraoperative 3D Brain Deformation Recovery. Lecture Notes In Computer Science 2007, 10: 553-561. PMID: 18044612, PMCID: PMC2864112, DOI: 10.1007/978-3-540-75759-7_67.Peer-Reviewed Original ResearchConceptsBrain deformationLinear elastic modelVolumetric brain deformationDeformation recoverySurface trackingSurface displacementsElastic modelRealistic brain phantomDeformationBiomechanical modelLarge brain deformationsIntraoperative brainFeature detectionSemiautomatic strategyBrain phantomPreoperative imagesDisplacement
2006
Towards pointwise motion tracking in echocardiographic image sequences – Comparing the reliability of different features for speckle tracking
Yu W, Yan P, Sinusas AJ, Thiele K, Duncan JS. Towards pointwise motion tracking in echocardiographic image sequences – Comparing the reliability of different features for speckle tracking. Medical Image Analysis 2006, 10: 495-508. PMID: 16574465, DOI: 10.1016/j.media.2005.12.003.Peer-Reviewed Original ResearchConceptsMotion trackingBetter compensation resultsRadio frequency signalsLarge deformationDisplacement estimationTissue motionFrequency signalsSmall deformationsRF signalCompensation resultsFiltered featuresTracking featuresDeformationLinear convolution modelExperiment resultsTrackingEchocardiographic image sequencesPhantom examplesReliability measuresImage sequencesB-modeInverse problemSignalsReliabilityDifferent featuresNonrigid 3D Brain Registration Using Intensity/Feature Information
DeLorenzo C, Papademetris X, Wu K, Vives KP, Spencer D, Duncan JS. Nonrigid 3D Brain Registration Using Intensity/Feature Information. Lecture Notes In Computer Science 2006, 9: 932-939. PMID: 17354980, PMCID: PMC2864121, DOI: 10.1007/11866565_114.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceBayes TheoremBrainEpilepsyHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueSurgery, Computer-AssistedConceptsStereo camera imagesCamera calibration errorsPreoperative brain imagesSurface tracking algorithmFeature informationCamera imagesTracking algorithmBrain imagesOptimization termSurface detectionRobust modelImagesBrain registrationIntraoperative brainCalibration errorsAlgorithmAccuracyRegistrationModelInformation
2005
Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM)
Hadjidemetriou S, Toomre D, Duncan JS. Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM). Lecture Notes In Computer Science 2005, 8: 761-769. PMID: 16685915, DOI: 10.1007/11566465_94.Peer-Reviewed Original Research