2024
Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week
Yang J, Henao J, Dvornek N, He J, Bower D, Depotter A, Bajercius H, de Mortanges A, You C, Gange C, Ledda R, Silva M, Dela Cruz C, Hautz W, Bonel H, Reyes M, Staib L, Poellinger A, Duncan J. Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week. Computerized Medical Imaging And Graphics 2024, 118: 102442. PMID: 39515190, DOI: 10.1016/j.compmedimag.2024.102442.Peer-Reviewed Original ResearchUnsupervised domain adaptationSpatial prior informationDomain adaptationLabeled dataData-driven approachUnsupervised domain adaptation modelMedical image analysis tasksImage analysis tasksTransformer-based modelsMedical image analysisPrior informationOutcome prediction tasksAdversarial trainingDistribution alignmentDomain shiftAttention headsClass tokenPoor generalizationAnalysis tasksTarget domainPrediction taskData distributionKnowledge-guidedLocal weightsMedical images
2019
Dual Adversarial Autoencoder for Dermoscopic image Generative Modeling
Yang H, Staib L. Dual Adversarial Autoencoder for Dermoscopic image Generative Modeling. 2019, 00: 1247-1250. DOI: 10.1109/isbi.2019.8759293.Peer-Reviewed Original ResearchComputer-Aided DiagnosisAdversarial trainingGenerative modelingComputer vision tasksSkin lesion classificationNew training dataNovel generative modelRealistic synthetic dataVision tasksEnd trainableData augmentationManual effortTraditional autoencoderAided DiagnosisDiscriminator networkAdversarial autoencoderTraining dataTraining iterationsTraining algorithmGenerative modelLesion classificationNumerous tasksImage denoisingAutoencoderDermoscopic images