2024
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 dataTaskDataLearningImplementationVisionInformationAn Explainable Unified Framework of Spatio-Temporal Coupling Learning with Application to Dynamic Brain Functional Connectivity Analysis
Gao B, Yu A, Qiao C, Calhoun V, Stephen J, Wilson T, Wang Y. An Explainable Unified Framework of Spatio-Temporal Coupling Learning with Application to Dynamic Brain Functional Connectivity Analysis. IEEE Transactions On Medical Imaging 2024, PP: 1-1. PMID: 39320999, DOI: 10.1109/tmi.2024.3467384.Peer-Reviewed Original ResearchSpatio-temporal informationDeep learning networkInter-node connectivitySpatio-temporal correlationMachine learning modelsNode representationsPoor explainabilityCoupling learningLearning frameworkDeep learningLearning networkLearning modelsExplainabilityTime series dataExperimental resultsCoupling associationFramework constructionLearningDynamic functional connectivityFrameworkBrain functional connectivity analysisBrain dynamic functional connectivityInformationConnectionNetworkConstrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis
Vu T, Laport F, Yang H, Calhoun V, Adal T. Constrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis. IEEE Transactions On Biomedical Engineering 2024, 71: 3531-3542. PMID: 39042541, DOI: 10.1109/tbme.2024.3432273.Peer-Reviewed Original ResearchIndependent vector analysisIndependent component analysisIVA approachesIndependent vector analysis algorithmMulti-subject functional magnetic resonance imagingHigher-order statistical informationMulti-subject dataSingle-subject mappingModel interferenceMultiple datasetsPrior informationNovel methodStatistical dependenceDatasetSeparation qualityStatistical informationComputational issuesVariable thresholdAlgorithmStatistical diversityModel matchingVector analysisQuality of separationComponent analysisInformationPrivacy-Preserving Visualization of Brain Functional Network Connectivity
Tao Y, Sarwate A, Panta S, Plis S, Calhoun V. Privacy-Preserving Visualization of Brain Functional Network Connectivity. 2024, 00: 1-5. DOI: 10.1109/isbi56570.2024.10635222.Peer-Reviewed Original ResearchDifferential privacyProtecting sensitive informationNon-private counterpartsPre-and post-processingPrivacy-preservingPrivacy guaranteesSensitive informationPrivacy costData visualizationPrivacyBiomedical dataInvestigate several approachesNetwork connectivityPost-processingSeveral approachesVisualizationWorkflowGuaranteesCorrelation valuesTradeoffDataConnectogramsInformationAnalysis of High-Order Brain Networks Resolved in Time and Frequency Using CP Decomposition
Faghiri A, Iraji A, Adali T, Calhoun V. Analysis of High-Order Brain Networks Resolved in Time and Frequency Using CP Decomposition. 2024, 00: 13346-13350. DOI: 10.1109/icassp48485.2024.10446864.Peer-Reviewed Original ResearchIdentifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data
Lehmann I, Hasija T, Gabrielson B, Akhonda M, Calhoun V, Adali T. Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data. IEEE Access 2024, 12: 109443-109456. DOI: 10.1109/access.2024.3435526.Peer-Reviewed Original ResearchIndependent vector analysisTask datasetMultiple datasetsFeature extraction approachUser-defined thresholdsHigher-order statisticsMulti-task fMRI dataExtraction approachRelationship structureDatasetSimulation resultsHierarchical clusteringInterpretable componentsVector analysisFMRI-dataFMRI dataEffective wayMethodTaskDataActivated brain regionsHypothesis testingDistributional assumptionsInformation
2023
Joint Structural and Functional Connectivity Learning Based Independent Component Analysis
Fouladivanda M, Iraji A, Wu L, Calhoun V. Joint Structural and Functional Connectivity Learning Based Independent Component Analysis. 2023, 00: 1-5. DOI: 10.1109/mlsp55844.2023.10285932.Peer-Reviewed Original ResearchJoint learning procedureIndependent component analysisFunctional connectivity informationData-driven approachLearning procedureConnectivity informationICA approachMultiple modalitiesComplementary informationComponent analysisBrain network analysisIntrinsic connectivity networksJoint approachConnectivity networksInformationIncreasing developmentDatasetBrain's intrinsic connectivity networksNetworkNetwork analysisSensitive to group differences