BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

247 related articles for article (PubMed ID: 28912708)

  • 21. 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]  

  • 22. Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment.
    Zhou Y; Qiao L; Li W; Zhang L; Shen D
    Front Neuroinform; 2018; 12():3. PubMed ID: 29467643
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Exploring timescale-specific functional brain networks and their associations with aging and cognitive performance in a healthy cohort without dementia.
    Tsai WX; Tsai SJ; Lin CP; Huang NE; Yang AC
    Neuroimage; 2024 Apr; 289():120540. PubMed ID: 38355076
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Functional Brain Network Estimation With Time Series Self-Scrubbing.
    Li W; Qiao L; Zhang L; Wang Z; Shen D
    IEEE J Biomed Health Inform; 2019 Nov; 23(6):2494-2504. PubMed ID: 30668484
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Constructing hierarchical attentive functional brain networks for early AD diagnosis.
    Zhang J; Guo Y; Zhou L; Wang L; Wu W; Shen D
    Med Image Anal; 2024 May; 94():103137. PubMed ID: 38507893
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Multipattern graph convolutional network-based autism spectrum disorder identification.
    Zhou W; Sun M; Xu X; Ruan Y; Sun C; Li W; Gao X
    Cereb Cortex; 2024 Mar; 34(3):. PubMed ID: 38494887
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Hierarchical Individual Naturalistic Functional Brain Networks with Group Consistency uncovered by a Two-Stage NAS-Volumetric Sparse DBN Framework.
    Xu S; Ren Y; Tao Z; Song L; He X
    eNeuro; 2022 Aug; 9(5):. PubMed ID: 35995557
    [TBL] [Abstract][Full Text] [Related]  

  • 28. BrainTGL: A dynamic graph representation learning model for brain network analysis.
    Liu L; Wen G; Cao P; Hong T; Yang J; Zhang X; Zaiane OR
    Comput Biol Med; 2023 Feb; 153():106521. PubMed ID: 36630830
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A Convolutional Neural Network Combined With Prototype Learning Framework for Brain Functional Network Classification of Autism Spectrum Disorder.
    Liang Y; Liu B; Zhang H
    IEEE Trans Neural Syst Rehabil Eng; 2021; 29():2193-2202. PubMed ID: 34648452
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Enhancing the representation of functional connectivity networks by fusing multi-view information for autism spectrum disorder diagnosis.
    Huang H; Liu X; Jin Y; Lee SW; Wee CY; Shen D
    Hum Brain Mapp; 2019 Feb; 40(3):833-854. PubMed ID: 30357998
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Construction and analysis of functional brain network based on emotional electroencephalogram.
    Liu D; Cao T; Wang Q; Zhang M; Jiang X; Sun J
    Med Biol Eng Comput; 2023 Feb; 61(2):357-385. PubMed ID: 36434356
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Estimating functional brain networks by incorporating a modularity prior.
    Qiao L; Zhang H; Kim M; Teng S; Zhang L; Shen D
    Neuroimage; 2016 Nov; 141():399-407. PubMed ID: 27485752
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification.
    Li Y; Liu J; Huang J; Li Z; Liang P
    Front Neuroinform; 2018; 12():58. PubMed ID: 30258358
    [No Abstract]   [Full Text] [Related]  

  • 34. Sparsity-guided multiple functional connectivity patterns for classification of schizophrenia via convolutional network.
    Yu R; Pan C; Bian L; Fei X; Chen M; Shen D
    Hum Brain Mapp; 2023 Aug; 44(12):4523-4534. PubMed ID: 37318814
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A Deep Spatiotemporal Attention Network for Mild Cognitive Impairment Identification.
    Feng Q; Huang Y; Long Y; Gao L; Gao X
    Front Aging Neurosci; 2022; 14():925468. PubMed ID: 35923552
    [TBL] [Abstract][Full Text] [Related]  

  • 36. In patients with mild disability NMOSD: is the alteration in the cortical morphological or functional network topological properties more significant.
    Ma H; Zhu Y; Liang X; Wu L; Wang Y; Li X; Qian L; Cheung GL; Zhou F
    Front Immunol; 2024; 15():1345843. PubMed ID: 38375481
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Modeling task-based fMRI data via deep belief network with neural architecture search.
    Qiang N; Dong Q; Zhang W; Ge B; Ge F; Liang H; Sun Y; Gao J; Liu T
    Comput Med Imaging Graph; 2020 Jul; 83():101747. PubMed ID: 32593949
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Normative model detects abnormal functional connectivity in psychiatric disorders.
    Oliveira-Saraiva D; Ferreira HA
    Front Psychiatry; 2023; 14():1068397. PubMed ID: 36873218
    [TBL] [Abstract][Full Text] [Related]  

  • 40. TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis.
    Li L; Jiang H; Wen G; Cao P; Xu M; Liu X; Yang J; Zaiane O
    Neuroinformatics; 2022 Apr; 20(2):353-375. PubMed ID: 34761367
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.