These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

134 related items for PubMed ID: 38569980

  • 1.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 2. CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis.
    Zheng K, Yu S, Chen B.
    Neural Netw; 2024 Apr; 172():106147. PubMed ID: 38306785
    [Abstract] [Full Text] [Related]

  • 3. BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck.
    Zheng K, Yu S, Li B, Jenssen R, Chen B.
    IEEE Trans Neural Netw Learn Syst; 2024 Sep 13; PP():. PubMed ID: 39269791
    [Abstract] [Full Text] [Related]

  • 4. Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks.
    Zhang H, Song R, Wang L, Zhang L, Wang D, Wang C, Zhang W.
    IEEE Trans Med Imaging; 2023 Feb 13; 42(2):444-455. PubMed ID: 36327188
    [Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6. Diagnosis of Autism Spectrum Disorder (ASD) Using Recursive Feature Elimination-Graph Neural Network (RFE-GNN) and Phenotypic Feature Extractor (PFE).
    Yang J, Hu M, Hu Y, Zhang Z, Zhong J.
    Sensors (Basel); 2023 Dec 06; 23(24):. PubMed ID: 38139493
    [Abstract] [Full Text] [Related]

  • 7. Autism spectrum disorder diagnosis using graph attention network based on spatial-constrained sparse functional brain networks.
    Yang C, Wang P, Tan J, Liu Q, Li X.
    Comput Biol Med; 2021 Dec 06; 139():104963. PubMed ID: 34700253
    [Abstract] [Full Text] [Related]

  • 8. 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 06; 166():107478. PubMed ID: 37776730
    [Abstract] [Full Text] [Related]

  • 9. Brain functional activity-based classification of autism spectrum disorder using an attention-based graph neural network combined with gene expression.
    Wang Z, Xu Y, Peng D, Gao J, Lu F.
    Cereb Cortex; 2023 May 09; 33(10):6407-6419. PubMed ID: 36587290
    [Abstract] [Full Text] [Related]

  • 10. Dementia classification using a graph neural network on imaging of effective brain connectivity.
    Cao J, Yang L, Sarrigiannis PG, Blackburn D, Zhao Y.
    Comput Biol Med; 2024 Jan 09; 168():107701. PubMed ID: 37984205
    [Abstract] [Full Text] [Related]

  • 11. Exploring Implicit Biological Heterogeneity in ASD Diagnosis Using a Multi-Head Attention Graph Neural Network.
    Moon HJ, Cho SB.
    J Integr Neurosci; 2024 Jul 17; 23(7):135. PubMed ID: 39082298
    [Abstract] [Full Text] [Related]

  • 12. Three autism subtypes based on single-subject gray matter network revealed by semi-supervised machine learning.
    Xu G, Geng G, Wang A, Li Z, Liu Z, Liu Y, Hu J, Wang W, Li X.
    Autism Res; 2024 Oct 17; 17(10):1962-1973. PubMed ID: 38925611
    [Abstract] [Full Text] [Related]

  • 13. BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis.
    Li X, Zhou Y, Dvornek N, Zhang M, Gao S, Zhuang J, Scheinost D, Staib LH, Ventola P, Duncan JS.
    Med Image Anal; 2021 Dec 17; 74():102233. PubMed ID: 34655865
    [Abstract] [Full Text] [Related]

  • 14. 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 17; 148():105823. PubMed ID: 35872410
    [Abstract] [Full Text] [Related]

  • 15. Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification.
    Chen Y, Yan J, Jiang M, Zhang T, Zhao Z, Zhao W, Zheng J, Yao D, Zhang R, Kendrick KM, Jiang X.
    IEEE Trans Neural Netw Learn Syst; 2024 Jun 17; 35(6):7275-7286. PubMed ID: 35286265
    [Abstract] [Full Text] [Related]

  • 16. 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 17; 28(3):1644-1655. PubMed ID: 38194405
    [Abstract] [Full Text] [Related]

  • 17. MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis.
    Wen G, Cao P, Bao H, Yang W, Zheng T, Zaiane O.
    Comput Biol Med; 2022 Mar 17; 142():105239. PubMed ID: 35066446
    [Abstract] [Full Text] [Related]

  • 18. Transdiagnostic Prediction of Affective, Cognitive, and Social Function Through Brain Reward Anticipation in Schizophrenia, Bipolar Disorder, Major Depression, and Autism Spectrum Diagnoses.
    Schwarz K, Moessnang C, Schweiger JI, Baumeister S, Plichta MM, Brandeis D, Banaschewski T, Wackerhagen C, Erk S, Walter H, Tost H, Meyer-Lindenberg A.
    Schizophr Bull; 2020 Apr 10; 46(3):592-602. PubMed ID: 31586408
    [Abstract] [Full Text] [Related]

  • 19. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.
    Aghdam MA, Sharifi A, Pedram MM.
    J Digit Imaging; 2019 Dec 10; 32(6):899-918. PubMed ID: 30963340
    [Abstract] [Full Text] [Related]

  • 20. Screening of autism based on task-free fMRI using graph theoretical approach.
    Sadeghi M, Khosrowabadi R, Bakouie F, Mahdavi H, Eslahchi C, Pouretemad H.
    Psychiatry Res Neuroimaging; 2017 May 30; 263():48-56. PubMed ID: 28324694
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 7.