Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis
Li L, Zhang L, Cao P, Yang J, Wang F, Zaiane O. Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. Lecture Notes In Computer Science 2024, 15002: 195-205. DOI: 10.1007/978-3-031-72069-7_19.Peer-Reviewed Original ResearchBrain functional modulesState-of-the-art performanceMajor depressive disorderTransformer-based frameworkSelf-attention mechanismState-of-the-artEnd-to-endSpatio-temporal representationBrain disorder diagnosisBipolar disorderBrain disordersDiagnosis of major depressive disorderPatterns of brain activityClustering strategyDynamic brain functionAssociated with brain disordersDepressive disorderExperimental resultsDisorder diagnosisBrain activitySpatio-temporal characteristicsBrain functionFunctional modulesDisordersSpatio-temporal patternsTowards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis
Jin Z, Wen G, Cao P, Liu L, Yang J, Zhu X, Zaiane O, Wang F. Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. 2024, 00: 2270-2274. DOI: 10.1109/icassp48485.2024.10446417.Peer-Reviewed Original ResearchState-of-the-art methodsRepresentation learning frameworkSupervised learning schemeSelf-attention mechanismState-of-the-artNetwork learning methodReconstruction lossContrastive lossPoor generalizationLearning schemeLearning frameworkGraph structureLearning methodsTopological informationLearning modelsCross-decodingDiagnosis resultsBrain network analysisDynamic brain network analysisMajor depressive disorderAutism spectrum disorderInformationDynamic brain networksBipolar disorderDecoding