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
2023
Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
Lee K, Lee H, El Fakhri G, Woo J, Hwang J. Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning. Lecture Notes In Computer Science 2023, 14220: 539-550. DOI: 10.1007/978-3-031-43907-0_52.Peer-Reviewed Original ResearchUnsupervised domain adaptationTarget domainState-of-the-art performanceUnsupervised domain adaptation modelWell-trained deep learning modelDomain adaptation tasksDomain adaptive segmentationState-of-the-artAdaptive feature extractionFine-tuning phaseFeatures of datasetsLarge-scale datasetsDeep learning modelsDomain adaptationUnlabeled dataLabeled dataSegmentation taskNetwork architectureSource domainFeature extractionLatent featuresModel deploymentNetwork parametersBreast cancer datasetAdaptive segmentation