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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

151 related articles for article (PubMed ID: 38659616)

  • 1. A novel approach for ASD recognition based on graph attention networks.
    Wang C; Xiao Z; Xu Y; Zhang Q; Chen J
    Front Comput Neurosci; 2024; 18():1388083. PubMed ID: 38659616
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of Autism Subtypes Based on Wavelet Coherence of BOLD FMRI Signals Using Convolutional Neural Network.
    Al-Hiyali MI; Yahya N; Faye I; Hussein AF
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450699
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-View Feature Enhancement Based on Self-Attention Mechanism Graph Convolutional Network for Autism Spectrum Disorder Diagnosis.
    Zhao F; Li N; Pan H; Chen X; Li Y; Zhang H; Mao N; Cheng D
    Front Hum Neurosci; 2022; 16():918969. PubMed ID: 35911592
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI.
    Chu Y; Wang G; Cao L; Qiao L; Liu M
    Front Neuroinform; 2021; 15():802305. PubMed ID: 35095453
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis.
    Li X; Zhou Y; Dvornek NC; Zhang M; Zhuang J; Ventola P; Duncan JS
    Med Image Comput Comput Assist Interv; 2020 Oct; 12267():625-635. PubMed ID: 33043324
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Rest-fMRI based comparison study between autism spectrum disorder and typically control using graph frequency bands.
    Talesh Jafadideh A; Mohammadzadeh Asl B
    Comput Biol Med; 2022 Jul; 146():105643. PubMed ID: 35598352
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder.
    Shao L; Fu C; Chen X
    BMC Bioinformatics; 2023 Sep; 24(1):363. PubMed ID: 37759189
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A robust DWT-CNN-based CAD system for early diagnosis of autism using task-based fMRI.
    Haweel R; Shalaby A; Mahmoud A; Seada N; Ghoniemy S; Ghazal M; Casanova MF; Barnes GN; El-Baz A
    Med Phys; 2021 May; 48(5):2315-2326. PubMed ID: 33378589
    [TBL] [Abstract][Full Text] [Related]  

  • 9. GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification.
    Hu J; Cao L; Li T; Dong S; Li P
    BMC Bioinformatics; 2021 Jul; 22(1):379. PubMed ID: 34294047
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification.
    Alharthi AG; Alzahrani SM
    Comput Biol Med; 2023 Dec; 167():107667. PubMed ID: 37939407
    [TBL] [Abstract][Full Text] [Related]  

  • 11. NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification.
    Liu S; Liang B; Wang S; Li B; Pan L; Wang SH
    IEEE Open J Eng Med Biol; 2024; 5():428-433. PubMed ID: 38899023
    [No Abstract]   [Full Text] [Related]  

  • 12. PLSNet: Position-aware GCN-based autism spectrum disorder diagnosis via FC learning and ROIs sifting.
    Wang Y; Long H; Zhou Q; Bo T; Zheng J
    Comput Biol Med; 2023 Sep; 163():107184. PubMed ID: 37356292
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Young High-Functioning Autism Individuals Based on Functional Connectome Using Graph Isomorphism Network: A Pilot Study.
    Yang S; Jin D; Liu J; He Y
    Brain Sci; 2022 Jul; 12(7):. PubMed ID: 35884690
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals.
    Yousefian A; Shayegh F; Maleki Z
    Front Syst Neurosci; 2022; 16():904770. PubMed ID: 36817947
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sparse Hierarchical Representation Learning on Functional Brain Networks for Prediction of Autism Severity Levels.
    Kwon H; Kim JI; Son SY; Jang YH; Kim BN; Lee HJ; Lee JM
    Front Neurosci; 2022; 16():935431. PubMed ID: 35873817
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI.
    Wang N; Yao D; Ma L; Liu M
    Med Image Anal; 2022 Jan; 75():102279. PubMed ID: 34731776
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Resting-State Functional MRI Adaptation with Attention Graph Convolution Network for Brain Disorder Identification.
    Chu Y; Ren H; Qiao L; Liu M
    Brain Sci; 2022 Oct; 12(10):. PubMed ID: 36291346
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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; 142():105239. PubMed ID: 35066446
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Collaborative learning of graph generation, clustering and classification for brain networks diagnosis.
    Yang W; Wen G; Cao P; Yang J; Zaiane OR
    Comput Methods Programs Biomed; 2022 Jun; 219():106772. PubMed ID: 35395591
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.