2024
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations
You C, Min Y, Dai W, Sekhon J, Staib L, Duncan J. Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. 2015 IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2024, 00: 26140-26150. PMID: 39640960, PMCID: PMC11620289, DOI: 10.1109/cvpr52733.2024.02470.Peer-Reviewed Original ResearchDiverse downstream tasksVision-language modelsPre-trained modelsRepresentation of samplesContrastive learningDownstream tasksFeature reweightingTraining dataFeature patternsModel generalizationGroup annotationsPain pointsGroup labelsAnnotationRobustnessClassifierClipsFeaturesDeepDeploymentBenchmarksTime-intensiveCodeTaskLearning
2022
Atlas-Based Semantic Segmentation of Prostate Zones
Zhang J, Venkataraman R, Staib L, Onofrey J. Atlas-Based Semantic Segmentation of Prostate Zones. Lecture Notes In Computer Science 2022, 13435: 570-579. PMID: 38084296, PMCID: PMC10711803, DOI: 10.1007/978-3-031-16443-9_55.Peer-Reviewed Original ResearchSegmentation resultsSemantic segmentation frameworkSemantic segmentation resultsDice similarity coefficient valuesSemantic segmentationInference stageSegmentation frameworkSegmentation performanceExternal test datasetTest datasetRegion of interestSegmentationAnatomical atlasHyperparametersSimilarity coefficient valuesAnatomical informationGitHubUsersDatasetProstate zonesCodeFrameworkInformation