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 *

119 related articles for article (PubMed ID: 29911206)

  • 1. Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification.
    Li Y; Liu J; Li K; Yap PT; Kim M; Wee CY; Shen D
    Mach Learn Med Imaging; 2017; 2017():307-315. PubMed ID: 29911206
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.
    Li Y; Liu J; Peng Z; Sheng C; Kim M; Yap PT; Wee CY; Shen D
    Neuroinformatics; 2020 Jan; 18(1):1-24. PubMed ID: 30982183
    [TBL] [Abstract][Full Text] [Related]  

  • 3. High-order resting-state functional connectivity network for MCI classification.
    Chen X; Zhang H; Gao Y; Wee CY; Li G; Shen D;
    Hum Brain Mapp; 2016 Sep; 37(9):3282-96. PubMed ID: 27144538
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification.
    Li Y; Liu J; Gao X; Jie B; Kim M; Yap PT; Wee CY; Shen D
    Med Image Anal; 2019 Feb; 52():80-96. PubMed ID: 30472348
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification.
    Wee CY; Yang S; Yap PT; Shen D;
    Brain Imaging Behav; 2016 Jun; 10(2):342-56. PubMed ID: 26123390
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Hyper-connectivity of functional networks for brain disease diagnosis.
    Jie B; Wee CY; Shen D; Zhang D
    Med Image Anal; 2016 Aug; 32():84-100. PubMed ID: 27060621
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Brain connectivity hyper-network for MCI classification.
    Jie B; Shen D; Zhang D
    Med Image Comput Comput Assist Interv; 2014; 17(Pt 2):724-32. PubMed ID: 25485444
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification.
    Chen X; Zhang H; Shen D
    Med Image Comput Comput Assist Interv; 2016 Oct; 9901():18-25. PubMed ID: 28936492
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.
    Li Y; Yang H; Lei B; Liu J; Wee CY
    IEEE Trans Med Imaging; 2019 May; 38(5):1227-1239. PubMed ID: 30475714
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Temporal-spatial dynamic functional connectivity analysis in schizophrenia classification.
    Pan C; Yu H; Fei X; Zheng X; Yu R
    Front Neurosci; 2022; 16():965937. PubMed ID: 36061606
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Constructing high-order functional networks based on hypergraph for diagnosis of autism spectrum disorders.
    Yang J; Wang F; Li Z; Yang Z; Dong X; Han Q
    Front Neurosci; 2023; 17():1257982. PubMed ID: 37719159
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of MCI using optimal sparse MAR modeled effective connectivity networks.
    Wee CY; Li Y; Jie B; Peng ZW; Shen D
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):319-327. PubMed ID: 24579156
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Alzheimer's Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI.
    Khatri U; Kwon GR
    Front Aging Neurosci; 2022; 14():818871. PubMed ID: 35707703
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis.
    Zhang Y; Zhang H; Chen X; Lee SW; Shen D
    Sci Rep; 2017 Jul; 7(1):6530. PubMed ID: 28747782
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification.
    Li Y; Liu J; Luo M; Li K; Yap PT; Kim M; Wee CY; Shen D
    Mach Learn Med Imaging; 2017 Sep; 10541():299-306. PubMed ID: 29270583
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment.
    Zhang Y; Zhang H; Chen X; Shen D
    Connectomics Neuroimaging (2017); 2017; 10511():9-16. PubMed ID: 30345426
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating high-order brain functional networks by correlation-preserving embedding.
    Su H; Zhang L; Qiao L; Liu M
    Med Biol Eng Comput; 2022 Oct; 60(10):2813-2823. PubMed ID: 35869385
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiple functional connectivity networks fusion for schizophrenia diagnosis.
    Zou H; Yang J
    Med Biol Eng Comput; 2020 Aug; 58(8):1779-1790. PubMed ID: 32495268
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.