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Journal Abstract Search

177 related items for PubMed ID: 36383497

  • 1. Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI.
    Yao D, Sui J, Yang E, Yap PT, Shen D, Liu M.
    Mach Learn Med Imaging; 2020 Oct; 12436():1-10. PubMed ID: 36383497
    [Abstract] [Full Text] [Related]

  • 2. Multi-view graph network learning framework for identification of major depressive disorder.
    Zhang M, Long D, Chen Z, Fang C, Li Y, Huang P, Chen F, Sun H.
    Comput Biol Med; 2023 Nov; 166():107478. PubMed ID: 37776730
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  • 3. Dynamic functional connectivity analysis with temporal convolutional network for attention deficit/hyperactivity disorder identification.
    Wang M, Zhu L, Li X, Pan Y, Li L.
    Front Neurosci; 2023 Nov; 17():1322967. PubMed ID: 38148943
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  • 4. Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification.
    Noman F, Ting CM, Kang H, Phan RC, Ombao H.
    IEEE J Biomed Health Inform; 2024 Mar; 28(3):1644-1655. PubMed ID: 38194405
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  • 5. MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder.
    Pan J, Lin H, Dong Y, Wang Y, Ji Y.
    Comput Biol Med; 2022 Sep; 148():105823. PubMed ID: 35872410
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  • 6. Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.
    Jie B, Liu M, Shen D.
    Med Image Anal; 2018 Jul; 47():81-94. PubMed ID: 29702414
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  • 7. Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation.
    Oh JH, Lee DJ, Ji CH, Shin DH, Han JW, Son YH, Kam TE.
    IEEE J Biomed Health Inform; 2024 Mar; 28(3):1504-1515. PubMed ID: 38064332
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  • 12. Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification.
    Liu J, Yang W, Ma Y, Dong Q, Li Y, Hu B, DIRECT Consortium.
    Comput Biol Med; 2024 Mar; 171():108069. PubMed ID: 38394798
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  • 15. Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI.
    Wang M, Huang J, Liu M, Zhang D.
    Med Image Anal; 2021 Jul; 71():102063. PubMed ID: 33910109
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  • 16. Identifying resting-state effective connectivity abnormalities in drug-naïve major depressive disorder diagnosis via graph convolutional networks.
    Jun E, Na KS, Kang W, Lee J, Suk HI, Ham BJ.
    Hum Brain Mapp; 2020 Dec; 41(17):4997-5014. PubMed ID: 32813309
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  • 19. Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fMRI data.
    Dai P, Lu D, Shi Y, Zhou Y, Xiong T, Zhou X, Chen Z, Zou B, Tang H, Huang Z, Liao S, REST-meta-MDD Consortium.
    J Affect Disord; 2023 Oct 15; 339():511-519. PubMed ID: 37467800
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