2023
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
You C, Dai W, Min Y, Staib L, Duncan J. Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. Lecture Notes In Computer Science 2023, 14222: 561-571. PMID: 38840671, PMCID: PMC11151725, DOI: 10.1007/978-3-031-43898-1_54.Peer-Reviewed Original ResearchMedical image segmentationImage segmentationSegmentation methodPixel-level featuresComputer graphics problemImplicit neural representationsGrid-based representationMedical segmentationRendering frameworkSegmentation predictionsEnd mannerCorrelated contentCompetitive performance improvementsGraphics problemsSegmentationPoint representationPerformance improvementRegular gridSuch informationRepresentationConvolution operatorsExpertsComplex signalsRenderingFeatures
2022
Class-Aware Adversarial Transformers for Medical Image Segmentation.
You C, Zhao R, Liu F, Dong S, Chinchali S, Topcu U, Staib L, Duncan J. Class-Aware Adversarial Transformers for Medical Image Segmentation. Advances In Neural Information Processing Systems 2022, 35: 29582-29596. PMID: 37533756, PMCID: PMC10395073.Peer-Reviewed Original ResearchMedical image segmentationImage segmentationMedical image analysis domainMedical image analysis tasksImage analysis domainMedical image datasetsImage analysis tasksModel’s inner workingsTransformer-based approachTransformer-based modelsAdversarial training strategyRich semantic contextSegmentation label mapsLong-range dependenciesMulti-scale representationAnalysis tasksImage datasetsTransfer learningFeature representationInner workingsSegmentation accuracyCorrelated contentTransformer moduleLabel mapsInformation loss