Featured Publications
Memory consistent unsupervised off-the-shelf model adaptation for source-relaxed medical image segmentation
Liu X, Xing F, El Fakhri G, Woo J. Memory consistent unsupervised off-the-shelf model adaptation for source-relaxed medical image segmentation. Medical Image Analysis 2022, 83: 102641. PMID: 36265264, PMCID: PMC10016738, DOI: 10.1016/j.media.2022.102641.Peer-Reviewed Original ResearchConceptsUnsupervised domain adaptationUnsupervised domain adaptation methodsSource domain dataBN statisticsTarget domainLabeled source domain dataDomain dataLabeled source domainSelf-training strategyPatient data privacyHeterogeneous target domainBrain tumor segmentationPseudo-labelsDomain adaptationUnsupervised adaptationData privacySegmentation taskSource domainImage segmentationVital protocolAdaptation frameworkDecay strategyBoost performanceModel adaptationTumor segmentation
2021
Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology
Liu X, Xing F, Yang C, Kuo C, El Fakhri G, Woo J. Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology. Lecture Notes In Computer Science 2021, 12658: 80-91. PMID: 34013242, PMCID: PMC8130838, DOI: 10.1007/978-3-030-72084-1_8.Peer-Reviewed Original ResearchSimilarity measurePeak signal-to-noise ratioImage-to-image translationIncreased peak signal-to-noise ratioPatient imagesBrain MRI registrationMultimodal brain tumor segmentationStructural similarity indexRegistration similarity measurePatch-wise featuresBrain image registrationBrain tumor segmentationDeformable registrationStructure inpaintingInception ScoreRegistration of magnetic resonance imagesTumor regionInpainting frameworkInpainting methodRefinement moduleSignal-to-noise ratioSemantic relevanceMRI registrationOriginal patient dataSymmetry constraints