2023
Quantifying Uncertainty in Deep Learning of Radiologic Images.
Faghani S, Moassefi M, Rouzrokh P, Khosravi B, Baffour F, Ringler M, Erickson B. Quantifying Uncertainty in Deep Learning of Radiologic Images. Radiology 2023, 308: e222217. PMID: 37526541, DOI: 10.1148/radiol.222217.Peer-Reviewed Original Research
2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Liu X, Yoo C, Xing F, Oh H, Fakhri G, Kang J, Woo J. Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives. APSIPA Transactions On Signal And Information Processing 2022, 11: e25. DOI: 10.1561/116.00000192.Peer-Reviewed Original ResearchUnsupervised domain adaptationTarget domainLabeled source domain dataOut-of-distribution detectionUnlabeled target domain dataOut-of-distribution dataDomain dataTarget domain dataOut-of-distributionSource domain dataDeep neural networksNatural image processingMedical image analysisNatural language processingReal-world problemsDomain adaptationLabeled datasetSource domainDomain generalizationDeep learningNeural networkLanguage processingImpressive performanceTime series data analysisPerformance drop
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