2024
Uncertainty-Aware Deep Learning Characterization of Knee Radiographs for Large-Scale Registry Creation
Mulford K, Grove A, Kaji E, Rouzrokh P, Roman R, Kremers M, Maradit Kremers H, Taunton M, Wyles C. Uncertainty-Aware Deep Learning Characterization of Knee Radiographs for Large-Scale Registry Creation. The Journal Of Arthroplasty 2024, 40: 1232-1238. PMID: 39477040, PMCID: PMC11985313, DOI: 10.1016/j.arth.2024.10.103.Peer-Reviewed Original ResearchConceptsObject detection modelDetection modelF1 scoreConformal predictionAverage precisionOut-of-domain imagesOut-of-domainPer-class F1-scoresUncertainty-awareMultilabel classifierEfficientNet modelIngestion pipelineLabel outputsClassification modelClassifierDomain detectionHeld-outMultilabelUncertainty quantificationModel performanceKnee imagesEfficientNetLarge-scaleHardwarePrecision
2023
THA-AID: Deep Learning Tool for Total Hip Arthroplasty Automatic Implant Detection With Uncertainty and Outlier Quantification
Rouzrokh P, Mickley J, Khosravi B, Faghani S, Moassefi M, Schulz W, Erickson B, Taunton M, Wyles C. THA-AID: Deep Learning Tool for Total Hip Arthroplasty Automatic Implant Detection With Uncertainty and Outlier Quantification. The Journal Of Arthroplasty 2023, 39: 966-973.e17. PMID: 37770007, DOI: 10.1016/j.arth.2023.09.025.Peer-Reviewed Original ResearchConceptsOut-of-domainDeep learningOut-of-domain test setsOutlier dataTest set accuracyDeep learning toolsLabel predictionHuman expertsIn-domainDL modelsCustomized frameworkPrediction uncertaintyConformal predictionDL toolsTest setAcetabular componentExternal testLearning toolsTime-consumingIn situ implantationUncertainty quantificationPerformanceAccuracyImplant detectionClassifierImproving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles.
Zhou W, Dligach D, Afshar M, Gao Y, Miller T. Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ACL Proceedings 2023, 2023: 125-130. PMID: 37786810, PMCID: PMC10544420.Peer-Reviewed Original Research
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