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Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia.

, , , , , , , , , , , , , , , , , and . EMBC, page 4021-4026. IEEE, (2016)

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Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs., , , , , , and . Proceedings of the IEEE, 106 (5): 886-906 (2018)Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis., , , , , , , , , and . BIBE, page 1-6. IEEE, (2021)Group information guided ICA shows more sensitivity to group differences than dual-regression., , , , and . ISBI, page 362-365. IEEE, (2017)Semi-supervised learning of brain functional networks., , , , and . ISBI, page 1-4. IEEE, (2014)Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia., , , , , , , , , and 10 other author(s). IEEE Trans. Med. Imaging, 37 (1): 93-105 (2018)Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns., , , , and . NeuroImage, (2013)Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia., , , , , , , , and . NeuroImage, 180 (Part): 619-631 (2018)Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks., , , , , and . EMBC, page 1517-1520. IEEE, (2014)Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity., , , , , , and . MLSP, page 1-6. IEEE, (2017)Dynamic default mode network connectivity diminished in patients with schizophrenia., , , , , and . ISBI, page 474-477. IEEE, (2015)