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
2011
A Nonlocal Averaging Technique for Kinetic Parameter Estimation from Dynamic PET Data
Dutta J, Fakhri G, Leahy R, Li Q. A Nonlocal Averaging Technique for Kinetic Parameter Estimation from Dynamic PET Data. 2011, 3562-3566. DOI: 10.1109/nssmic.2011.6153669.Peer-Reviewed Original ResearchNonlocal meansDenoising schemeGaussian filtering techniquePatlak parametric imagesDenoised time seriesDenoising frameworkClustering stepDistributed natureGaussian filterLocal neighborhoodVoxel-wise estimationHigh noise levelsData setsDenoisingFiltering techniqueSchemeDataLow varianceNoise levelTime activity curvesEstimation of kinetic parametersDynamic PET imagesParameter estimationVoxelImages