2023
Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis
Lee K, Lee H, Cavalcanti T, Kim S, El Fakhri G, Lee D, Woo J, Hwang J. Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis. Lecture Notes In Computer Science 2023, 14222: 378-388. DOI: 10.1007/978-3-031-43898-1_37.Peer-Reviewed Original ResearchFederated learningSkin disease diagnosisMobile devicesState-of-the-art approachesUtilization of mobile devicesFine-tuning networkState-of-the-artFine-tuning methodAbstract Federated learningDeep learning networkField of medical diagnosisDeep networksLearning networkAdaptive mannerModified GADisease diagnosisGenetic algorithmSuperior performanceMedical diagnosisArchitectural designClinical datasetsExperimental resultsNetworkModel designPersonality diversity
2019
MAPEM-Net: an unrolled neural network for Fully 3D PET image reconstruction
Gong K, Wu D, Kim K, Yang J, Sun T, Fakhri G, Seo Y, Li Q. MAPEM-Net: an unrolled neural network for Fully 3D PET image reconstruction. Proceedings Of SPIE--the International Society For Optical Engineering 2019, 11072: 110720o-110720o-5. DOI: 10.1117/12.2534904.Peer-Reviewed Original ResearchPET image reconstructionNeural networkImage reconstructionImage denoising applicationDeep neural networksNeural network frameworkConvolutional neural networkDenoising applicationsDenoising methodNetwork frameworkUpdate stepData consistencyIll-posedNetworkClinical datasetsInverse problemMAPEMFrameworkAlgorithmDatasetDetected photonsReconstructionMethodSimulation
2017
Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease
Yang J, Hu C, Guo N, Dutta J, Vaina L, Johnson K, Sepulcre J, Fakhri G, Li Q. Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease. Scientific Reports 2017, 7: 13035. PMID: 29026139, PMCID: PMC5638902, DOI: 10.1038/s41598-017-13339-7.Peer-Reviewed Original ResearchConceptsQuantitative accuracy of PET imagesSpatial resolution of PET scannersAccuracy of PET imagesPET scannerBrain networksPET imagingQuantitative accuracyPartial volume effectsClassification performanceImage registrationPositron emission tomography quantificationPartial volume correctionSpatial resolutionJoint entropyVolume correctionNetwork structure analysisCorrected imagesVolume effectClinical datasetsParameter settingsPositron emission tomographyClassification testsCompare network propertiesNoise sensitivity