2024
3D Segmentation of Subcortical Brain Structure with Few Labeled Data using 2D Diffusion Models
Cho J, Bae H, Liu X, Xing F, Lee K, Fakhri G, Wedeen V, Park J, Woo J. 3D Segmentation of Subcortical Brain Structure with Few Labeled Data using 2D Diffusion Models. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/1397.Peer-Reviewed Original ResearchSegmentation labelsSegmentation methodDeep learning-based segmentation methodsLearning-based segmentation methodsConventional segmentation methodsLabeled dataLabelled dataLabeling scenariosSemantic informationSubcortical brain structuresHuman Connectome Project databaseBrain structuresLabelingClassifierSegmentsDataMethodDiffusion modelScenariosModelProject databaseInformation
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