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Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity.

, , , , , , and . MLSP, page 1-6. IEEE, (2017)

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A review of multivariate analyses in imaging genetics., and . Frontiers Neuroinformatics, (2014)Classification of Schizophrenia and Alzheimer's Disease using Resting-State Functional Network Connectivity., , and . BHI, page 1-4. IEEE, (2022)Relationship of Hemodynamic Delay and Sex Differences Among Adolescents Using Resting-state fMRI Data., , and . BHI, page 1-4. IEEE, (2022)Refacing Defaced MRI with PixelCNN., , , and . IJCNN, page 1-7. IEEE, (2022)A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA., , , and . iCAST, page 154-159. IEEE, (2011)Can recurrent models know more than we do?, , , , , , and . ICHI, page 243-247. IEEE, (2021)Marginal Spectrum Modulated Hilbert-Huang Transform: Application to Time Courses Extracted by Independent Vector Analysis of Resting-State fMRI Data., , , , , , and . ICONIP (6), volume 1517 of Communications in Computer and Information Science, page 299-306. Springer, (2021)Selection of Efficient Clustering Index to Estimate the Number of Dynamic Brain States from Functional Network Connectivity., , , and . EMBC, page 632-635. IEEE, (2019)Diagnostic and Prognostic Classification of Brain Disorders Using Residual Learning on Structural MRI Data., , and . EMBC, page 4084-4088. IEEE, (2019)Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks., , , , , and . EMBC, page 1517-1520. IEEE, (2014)