Federated Privacy-Preserving Visualization: A Vision Paper
Tao Y, Sarwate A, Panta S, Plis S, Calhoun V. Federated Privacy-Preserving Visualization: A Vision Paper. 2024, 00: 8035-8041. DOI: 10.1109/bigdata62323.2024.10825849.Peer-Reviewed Original ResearchFederated learningRisk of data leakagePrivacy-preserving techniquesDifferential privacyData leakageSensitive informationVision paperFL applicationsModel trainingData visualizationExploratory data analysisCorrelation visualizationCentralized systemPrivacyLocal dataVisualizationDistribution dataData analysisMonitoring dataTaskDataLearningImplementationVisionInformationAdding the third dimension: 3D convolutional neural network diagnosis of temporal lobe epilepsy
Kaestner E, Hassanzadeh R, Gleichgerrcht E, Hasenstab K, Roth R, Chang A, Rüber T, Davis K, Dugan P, Kuzniecky R, Fridriksson J, Parashos A, Bagić A, Drane D, Keller S, Calhoun V, Abrol A, Bonilha L, McDonald C. Adding the third dimension: 3D convolutional neural network diagnosis of temporal lobe epilepsy. Brain Communications 2024, 6: fcae346. PMID: 39474046, PMCID: PMC11520928, DOI: 10.1093/braincomms/fcae346.Peer-Reviewed Original ResearchConvolutional neural networkTwo-dimension convolutional neural networkThree-dimension convolutional neural networksNeural network diagnosisSaliency mapNetwork diagnosisImage harmonizationTraining 3DNeural networkModel trainingMedical imagesTemporal lobe epilepsyModel performanceSubcortical regionsMedian accuracySignificant outperformanceLobe epilepsyStructural abnormalitiesAccuracyClassificationDatapointsEpilepsy lesionsCNN diagnosisPerformance
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