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
2022
The Impact of Additional Sampling on Hot-Spot Contrast for DE-SPECT
Metzler S, Zannoni E, Sankar P, Liu C, Sinusas A, Meng L. The Impact of Additional Sampling on Hot-Spot Contrast for DE-SPECT. 2022, 00: 1-4. DOI: 10.1109/nss/mic44845.2022.10399030.Peer-Reviewed Original ResearchHot spot phantomCollimator configurationCZT moduleAxial shiftDetector positionSensitivity dropsSample positionHot spotsNominal positionPhantomPeripheral arterial diseaseOptimal contrastCollimatorActuator switchingCZTArtery diseaseNoise levelDetectorConfigurationSmall axial shiftsShiftEvaluate contrastOptimal tradeoff