2024
Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography
Ta K, Ahn S, Thorn S, Stendahl J, Zhang X, Langdon J, Staib L, Sinusas A, Duncan J. Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography. IEEE Transactions On Medical Imaging 2024, 43: 2010-2020. PMID: 38231820, PMCID: PMC11514714, DOI: 10.1109/tmi.2024.3355383.Peer-Reviewed Original ResearchMulti-task learning networkCross-stitch unitsComposite loss functionAccurate motion estimationTask-specific networksMotion estimationSegmentation masksLearning networkLoss functionSegmentation stepEchocardiography datasetNetworkMotion displacementMotion analysisMultiple time framesTaskAnalysis pipelineSegmentsStrain measurementsDatasetRepresentationChapter 20 Motion and deformation recovery and analysis
Duncan J, Staib L. Chapter 20 Motion and deformation recovery and analysis. 2024, 519-548. DOI: 10.1016/b978-0-12-813657-7.00033-9.Peer-Reviewed Original ResearchArtificial neural networkData-driven approachDeep learningMedical imagesOptical flow methodMotion estimationNeural networkDense flow fieldLocal informationShape trackingFeature trackingAlgorithm performanceMedical imagingExample applicationUse of modelsDeformation recoveryFlow fieldTrackingDeformation analysisKalman filteringMotion analysisBiomechanical deformationFlow methodDeformationEvaluation approach
2021
Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation
Lu A, Ahn SS, Ta K, Parajuli N, Stendahl JC, Liu Z, Boutagy NE, Jeng GS, Staib LH, O’Donnell M, Sinusas AJ, Duncan JS. Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation. IEEE Transactions On Medical Imaging 2021, 40: 2233-2245. PMID: 33872145, PMCID: PMC8442959, DOI: 10.1109/tmi.2021.3074033.Peer-Reviewed Original Research
2003
Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression
Wang YM, Schultz RT, Constable RT, Staib LH. Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression. Lecture Notes In Computer Science 2003, 18: 647-659. PMID: 15344495, DOI: 10.1007/978-3-540-45087-0_54.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceBrainBrain MappingCluster AnalysisComputer SimulationEvoked Potentials, VisualHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingModels, BiologicalModels, StatisticalNonlinear DynamicsPattern Recognition, AutomatedRegression AnalysisReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedSubtraction TechniqueConceptsGeneral nonlinear frameworkStatistical learning methodologySupport vector regressionNonlinear estimationVector regressionNonlinear frameworkMultiresolution signal analysisLinear modelMotion estimationMulti-task studyMost current methodsData-driven methodSpatio-temporal autocorrelationEstimationVector machineEasy incorporationNoise componentsLearning methodologyNovel formulationSignal analysisData analysisInterpolation
1995
A Unified Framework to Assess Myocardial Function from 4D Images
Shi P, Robinson G, Chakraborty A, Staib L, Constable R, Sinusas A, Duncan J. A Unified Framework to Assess Myocardial Function from 4D Images. Lecture Notes In Computer Science 1995, 905: 327-337. DOI: 10.1007/978-3-540-49197-2_42.Peer-Reviewed Original Research