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Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI.

, , , , , , , and . GLMI@MICCAI, volume 11849 of Lecture Notes in Computer Science, page 70-78. Springer, (2019)

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Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network., , , , and . PRIME@MICCAI, volume 12928 of Lecture Notes in Computer Science, page 157-167. Springer, (2021)A constrained coefficient ica algorithm for group difference enhancement., , , , , , and . ICASSP, page 593-596. IEEE, (2008)Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling., , , , , and . IEEE J. Sel. Top. Signal Process., 10 (7): 1134-1149 (2016)Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis., , , , , , , , and . EMBC, page 4126-4129. IEEE, (2018)Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia., , , , , , and . EMBC, page 2692-2695. IEEE, (2012)Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method., , , , , , and . MLSP, page 1-6. IEEE, (2017)Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs., , , , , , and . Proc. IEEE, 106 (5): 886-906 (2018)Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates *., , , , , and . EMBC, page 4358-4361. IEEE, (2021)Exploration of the optimal group-discriminating features using CC-ICA., and . ACSCC, page 1410-1414. IEEE, (2008)Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI., , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 174-184. Springer, (2021)