2025
Ordinal Unsupervised Domain Adaptation With Recursively Conditional Gaussian Imposed Variational Disentanglement
Liu X, Li S, Ge Y, Ye P, You J, Lu J. Ordinal Unsupervised Domain Adaptation With Recursively Conditional Gaussian Imposed Variational Disentanglement. IEEE Transactions On Pattern Analysis And Machine Intelligence 2025, 47: 3219-3232. PMID: 35704544, DOI: 10.1109/tpami.2022.3183115.Peer-Reviewed Original ResearchUnsupervised domain adaptationDomain adaptationCross-domain imagesFacial age estimationLatent spaceScalability issuesContent spaceDiscrete labelsLatent vectorsOrdinal classificationContent vectorsSelf-trainingMedical diagnosisConstraint modelPartially ordered setSource/targetJoint distributionVectorLabelingTaskDataAge estimationClassificationSpaceRecursion
2022
Variational inference for quantifying inter-observer variability in segmentation of anatomical structures
Liu X, Xing F, Marin T, Fakhri G, Woo J. Variational inference for quantifying inter-observer variability in segmentation of anatomical structures. Proceedings Of SPIE--the International Society For Optical Engineering 2022, 12032: 120321m-120321m-6. PMID: 36303579, PMCID: PMC9603619, DOI: 10.1117/12.2604547.Peer-Reviewed Original ResearchSegmentation mapImage dataVariational inference frameworkVariational autoencoder networkMedical image dataInherent information lossMagnetic Resonance (MRSegmentation datasetAutoencoder networkVariational inferenceLatent vectorsInformation lossManual annotationSegmentation methodAleatoric uncertaintyInference frameworkSacrificing accuracyExperimental resultsAnnotationOrgan boundariesInter-observer variabilityImagesELBOMapsSegments
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