2020
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space
Yang J, Li X, Pak D, Dvornek N, Chapiro J, Lin M, Duncan J. Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. Lecture Notes In Computer Science 2020, 12444: 52-61. DOI: 10.1007/978-3-030-60548-3_6.Peer-Reviewed Original ResearchSemantic alignmentDomain shiftContent spaceCross-modality medical image segmentationUnsupervised domain adaptation problemMedical image tasksMedical image segmentationDeep convolutional networksDomain adaptation problemAdversarial training strategyAdvantage of imagesQualitative experimental resultsDifferent modalitiesDeep networkPretext taskConvolutional networkSegmentation taskImage segmentationImage tasksSegmentation performanceArt performanceLiver segmentationModality alignmentGeneralization abilitySegmentation pipeline
2019
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
Yang J, Dvornek NC, Zhang F, Zhuang J, Chapiro J, Lin M, Duncan JS. Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. ICCV Workshops 2019, 00: 323-331. PMID: 34676308, PMCID: PMC8528125, DOI: 10.1109/iccvw.2019.00043.Peer-Reviewed Original ResearchDomain adaptationDisentangled representationsLiver segmentationTarget domainSource domainDeep learning modelsGenerative adversarial networkHuman interpretabilityLearning frameworkAdversarial networkDownstream tasksArt methodsSegmentation consistencyLearning modelAgnostic learningMeaningful representationCycleGANNew tasksAblation analysisDA taskDifferent modalitiesTaskSegmentationEmbeddingLearning