2022
Automation of generative adversarial network-based synthetic data-augmentation for maximizing the diagnostic performance with paranasal imaging
Kong H, Kim J, Moon H, Park H, Kim J, Lim R, Woo J, Fakhri G, Kim D, Kim S. Automation of generative adversarial network-based synthetic data-augmentation for maximizing the diagnostic performance with paranasal imaging. Scientific Reports 2022, 12: 18118. PMID: 36302815, PMCID: PMC9613909, DOI: 10.1038/s41598-022-22222-z.Peer-Reviewed Original ResearchConceptsSynthetic data augmentationData augmentationLack of training dataConventional data augmentationDeep learning methodsTraining dataLearning methodsPipeline approachAlgorithm trainingGraphical dataAutomationWaters' view radiographsModel performanceAutomated pipelinePerformancePerformance parametersAlgorithmDatasetAugmentationDataMethodPipelineRulesIndustrial workers
2003
MRI-Guided SPECT Perfusion Measures and Volumetric MRI in Prodromal Alzheimer Disease
El Fakhri G, Kijewski M, Johnson K, Syrkin G, Killiany R, Becker J, Zimmerman R, Albert M. MRI-Guided SPECT Perfusion Measures and Volumetric MRI in Prodromal Alzheimer Disease. JAMA Neurology 2003, 60: 1066-1072. PMID: 12925361, DOI: 10.1001/archneur.60.8.1066.Peer-Reviewed Original ResearchConceptsRostral anterior cingulateCaudal anterior cingulateMagnetic resonance imagingAnterior cingulateSuperior temporal sulcusPosterior cingulateBasal forebrainTemporal hornEntorhinal cortexTemporal sulcusGroup differencesMemory problemsNondemented patientsFollow-upQuantitative single-photon emissionProdromal phase of Alzheimer's diseaseReceiver operating characteristic curve analysisYears of follow-upAlzheimer's diseasePhase of Alzheimer's diseaseCharacteristic curve analysisVolumetric magnetic resonance imagingMagnetic resonance imaging analysisMagnetic resonance imaging measuresSPECT analysis