2024
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
Zhang X, Pak D, Ahn S, Li X, You C, Staib L, Sinusas A, Wong A, Duncan J. Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration. Lecture Notes In Computer Science 2024, 15002: 651-661. DOI: 10.1007/978-3-031-72069-7_61.Peer-Reviewed Original ResearchUnsupervised registrationReal-world medical imagesCollaborative training strategyMedical image datasetsDeep learning methodsAccurate displacement estimationSignal-to-noise ratioImage datasetsRegistration architectureLearning methodsMedical imagesTraining strategyNoise distributionUncertainty estimationWeighting schemeRegistration performanceSpatial domainEstimation frameworkInput-dependentUncertainty estimation frameworkUniform noise levelsDisplacement estimationFrameworkNoise levelUnsupervised
2004
Simultaneous Recovery of Left Ventricular Shape and Motion Using Meshfree Particle Framework
Wong A, Liu H, Sinusas A, Shi P. Simultaneous Recovery of Left Ventricular Shape and Motion Using Meshfree Particle Framework. 2004, 2: 1263-1266. DOI: 10.1109/isbi.2004.1398775.Peer-Reviewed Original ResearchMedical image analysisImage analysis frameworkCyclic motion modelPrior spatial distributionsComputation platformImage sequencesMeshfree particle methodMotion modelEpicardial boundariesTemporal coherenceImage analysisAnalysis frameworkDeformation resultsApplication resultsParticle methodComplex geometriesGood flexibilityVelocity informationExternal driving forceParticle frameworkGalerkin formulationSimultaneous recoveryMyocardial behaviorSalient featuresFramework