2025
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation
Wei J, Zhao X, Woo J, Ouyang J, Fakhri G, Chen Q, Liu X. Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation. 2025, 00: 6450-6460. DOI: 10.1109/cvprw67362.2025.00642.Peer-Reviewed Original ResearchSingle domain generalizationEnd-to-endShape priorsGeneralization capabilityEnd-to-end mannerDictionary learning methodMedical image segmentationMixture-of-expertsMultiple public datasetsShape mapsDictionary atomsDictionary learningDictionary sizeShape dictionaryRepresentational powerDomain generalizationPublic datasetsGating networkImage segmentationMedical segmentationLearning methodsShape informationDictionaryBidirectional integrationOverfitting
2023
Flexible Multisubject Multiset FMRI Data Analysis Using Robust Discriminative Dictionary Learning
Jin R, Xu S, Kim S, Calhoun V. Flexible Multisubject Multiset FMRI Data Analysis Using Robust Discriminative Dictionary Learning. 2023, 00: 1458-1462. DOI: 10.1109/ieeeconf59524.2023.10476781.Peer-Reviewed Original ResearchDictionary learning methodDiscriminative dictionary learningGroup sparsity constraintData setsDictionary learningAttribute labelsSparsity constraintLearning methodsFMRI data setsNeural activation mapsPre-specifyingActivation mapsMap typesFunctional magnetic resonance imagingNumerical testsMapsDictionaryAlgorithmSetsDataLearningSubject-specific attributesMethodData analysisConstraints
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