BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

204 related articles for article (PubMed ID: 35869385)

  • 1. 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]  

  • 2. Estimating sparse functional connectivity networks via hyperparameter-free learning model.
    Sun L; Xue Y; Zhang Y; Qiao L; Zhang L; Liu M
    Artif Intell Med; 2021 Jan; 111():102004. PubMed ID: 33461688
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Joint selection of brain network nodes and edges for MCI identification.
    Jiang X; Qiao L; De Leone R; Shen D;
    Comput Methods Programs Biomed; 2022 Oct; 225():107082. PubMed ID: 36055040
    [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. Hierarchical anatomical brain networks for MCI prediction: revisiting volumetric measures.
    Zhou L; Wang Y; Li Y; Yap PT; Shen D;
    PLoS One; 2011; 6(7):e21935. PubMed ID: 21818280
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation With Applications to MCI Identification.
    Jiang X; Zhang L; Qiao L; Shen D
    IEEE Trans Biomed Eng; 2020 Jul; 67(7):1912-1920. PubMed ID: 31675312
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image.
    Feng J; Zhang SW; Chen L; Zuo C;
    Comput Med Imaging Graph; 2022 Jun; 98():102057. PubMed ID: 35561640
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer's disease patients: From the alzheimer's disease neuroimaging initiative (ADNI) database.
    Dimitriadis SI; Liparas D; Tsolaki MN;
    J Neurosci Methods; 2018 May; 302():14-23. PubMed ID: 29269320
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Personalized Functional Connectivity Based Spatio-Temporal Aggregated Attention Network for MCI Identification.
    Cui W; Ma Y; Ren J; Liu J; Ma G; Liu H; Li Y
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():2257-2267. PubMed ID: 37104108
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis.
    Liu M; Zhang D; Shen D;
    Neuroinformatics; 2014 Jul; 12(3):381-94. PubMed ID: 24338729
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Brain MR Image Classification for Alzheimer's Disease Diagnosis Based on Multifeature Fusion.
    Xiao Z; Ding Y; Lan T; Zhang C; Luo C; Qin Z
    Comput Math Methods Med; 2017; 2017():1952373. PubMed ID: 28611848
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.
    Wang M; Hao X; Huang J; Shao W; Zhang D
    Bioinformatics; 2019 Jun; 35(11):1948-1957. PubMed ID: 30395195
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Random walks on B distributed resting-state functional connectivity to identify Alzheimer's disease and Mild Cognitive Impairment.
    Rahimiasl M; Moghadam Charkari N; Ghaderi F;
    Clin Neurophysiol; 2021 Oct; 132(10):2540-2550. PubMed ID: 34455312
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-auxiliary domain transfer learning for diagnosis of MCI conversion.
    Cheng B; Zhu B; Pu S
    Neurol Sci; 2022 Mar; 43(3):1721-1739. PubMed ID: 34510292
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Improving Alzheimer's Disease Classification by Combining Multiple Measures.
    Liu J; Wang J; Tang Z; Hu B; Wu FX; Pan Y
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(5):1649-1659. PubMed ID: 28749356
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.