BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

164 related articles for article (PubMed ID: 33867931)

  • 1. Constructing Dynamic Brain Functional Networks via Hyper-Graph Manifold Regularization for Mild Cognitive Impairment Classification.
    Ji Y; Zhang Y; Shi H; Jiao Z; Wang SH; Wang C
    Front Neurosci; 2021; 15():669345. PubMed ID: 33867931
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Constructing Dynamic Functional Networks via Weighted Regularization and Tensor Low-Rank Approximation for Early Mild Cognitive Impairment Classification.
    Jiao Z; Ji Y; Zhang J; Shi H; Wang C
    Front Cell Dev Biol; 2020; 8():610569. PubMed ID: 33505965
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Weighted Graph Regularized Sparse Brain Network Construction for MCI Identification.
    Yu R; Qiao L; Chen M; Lee SW; Fei X; Shen D
    Pattern Recognit; 2019 Jun; 90():220-231. PubMed ID: 31579345
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accurate module induced brain network construction for mild cognitive impairment identification with functional MRI.
    Du Y; Wang G; Wang C; Zhang Y; Xi X; Zhang L; Liu M
    Front Aging Neurosci; 2023; 15():1101879. PubMed ID: 36875703
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls With Subnetwork Selection and Graph Kernel Principal Component Analysis Based on Minimum Spanning Tree Brain Functional Network.
    Cui X; Xiang J; Guo H; Yin G; Zhang H; Lan F; Chen J
    Front Comput Neurosci; 2018; 12():31. PubMed ID: 29867424
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Hyper-graph based sparse canonical correlation analysis for the diagnosis of Alzheimer's disease from multi-dimensional genomic data.
    Shao W; Xiang S; Zhang Z; Huang K; Zhang J
    Methods; 2021 May; 189():86-94. PubMed ID: 32360353
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-Modal Feature Selection with Feature Correlation and Feature Structure Fusion for MCI and AD Classification.
    Jiao Z; Chen S; Shi H; Xu J
    Brain Sci; 2022 Jan; 12(1):. PubMed ID: 35053823
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.
    Khazaee A; Ebrahimzadeh A; Babajani-Feremi A
    Brain Imaging Behav; 2016 Sep; 10(3):799-817. PubMed ID: 26363784
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification.
    Jie B; Zhang D; Wee CY; Shen D
    Hum Brain Mapp; 2014 Jul; 35(7):2876-97. PubMed ID: 24038749
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Hypergraph representation of multimodal brain networks for patients with end-stage renal disease associated with mild cognitive impairment.
    Xi Z; Liu T; Shi H; Jiao Z
    Math Biosci Eng; 2023 Jan; 20(2):1882-1902. PubMed ID: 36899513
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multimodal Hyper-connectivity Networks for MCI Classification.
    Li Y; Gao X; Jie B; Yap PT; Kim MJ; Wee CY; Shen D
    Med Image Comput Comput Assist Interv; 2017 Sep; 10433():433-441. PubMed ID: 29568824
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-modal feature selection with self-expression topological manifold for end-stage renal disease associated with mild cognitive impairment.
    Song C; Liu T; Wang H; Shi H; Jiao Z
    Math Biosci Eng; 2023 Jul; 20(8):14827-14845. PubMed ID: 37679161
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification.
    Wang CY; Yu N; Wu MJ; Gao YL; Liu JX; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2375-2383. PubMed ID: 32086220
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Classification of Early and Late Mild Cognitive Impairment Using Functional Brain Network of Resting-State fMRI.
    Zhang T; Zhao Z; Zhang C; Zhang J; Jin Z; Li L
    Front Psychiatry; 2019; 10():572. PubMed ID: 31555157
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Ensemble Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Complex Graph Measures from Diffusion Tensor Images.
    Ebadi A; Dalboni da Rocha JL; Nagaraju DB; Tovar-Moll F; Bramati I; Coutinho G; Sitaram R; Rashidi P
    Front Neurosci; 2017; 11():56. PubMed ID: 28293162
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnosis of Alzheimer's Disease Using Brain Network.
    Lama RK; Kwon GR
    Front Neurosci; 2021; 15():605115. PubMed ID: 33613178
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.