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