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 *

185 related articles for article (PubMed ID: 29272294)

  • 1. Sparse coding reveals greater functional connectivity in female brains during naturalistic emotional experience.
    Ren Y; Lv J; Guo L; Fang J; Guo CC
    PLoS One; 2017; 12(12):e0190097. PubMed ID: 29272294
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessing the effects of cocaine dependence and pathological gambling using group-wise sparse representation of natural stimulus FMRI data.
    Ren Y; Fang J; Lv J; Hu X; Guo CC; Guo L; Xu J; Potenza MN; Liu T
    Brain Imaging Behav; 2017 Aug; 11(4):1179-1191. PubMed ID: 27704410
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Sparse representation of whole-brain fMRI signals for identification of functional networks.
    Lv J; Jiang X; Li X; Zhu D; Chen H; Zhang T; Zhang S; Hu X; Han J; Huang H; Zhang J; Guo L; Liu T
    Med Image Anal; 2015 Feb; 20(1):112-34. PubMed ID: 25476415
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Test-retest reliability of dynamic functional connectivity in naturalistic paradigm functional magnetic resonance imaging.
    Zhang X; Liu J; Yang Y; Zhao S; Guo L; Han J; Hu X
    Hum Brain Mapp; 2022 Mar; 43(4):1463-1476. PubMed ID: 34870361
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations.
    Zhang S; Li X; Lv J; Jiang X; Guo L; Liu T
    Brain Imaging Behav; 2016 Mar; 10(1):21-32. PubMed ID: 25732072
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Test-retest reliability of functional connectivity networks during naturalistic fMRI paradigms.
    Wang J; Ren Y; Hu X; Nguyen VT; Guo L; Han J; Guo CC
    Hum Brain Mapp; 2017 Apr; 38(4):2226-2241. PubMed ID: 28094464
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sparse representation of group-wise FMRI signals.
    Lv J; Li X; Zhu D; Jiang X; Zhang X; Hu X; Zhang T; Guo L; Liu T
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):608-16. PubMed ID: 24505812
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms.
    Xie J; Douglas PK; Wu YN; Brody AL; Anderson AE
    J Neurosci Methods; 2017 Apr; 282():81-94. PubMed ID: 28322859
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The intra-session reliability of functional connectivity during naturalistic viewing conditions.
    Hlinka J; Děchtěrenko F; Rydlo J; Androvičová R; Vejmelka M; Jajcay L; Tintěra J; Lukavský J; Horáček J
    Psychophysiology; 2022 Oct; 59(10):e14075. PubMed ID: 35460523
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A data-driven sparse GLM for fMRI analysis using sparse dictionary learning with MDL criterion.
    Lee K; Tak S; Ye JC
    IEEE Trans Med Imaging; 2011 May; 30(5):1076-89. PubMed ID: 21138799
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis.
    Lee YB; Lee J; Tak S; Lee K; Na DL; Seo SW; Jeong Y; Ye JC;
    Neuroimage; 2016 Jan; 125():1032-1045. PubMed ID: 26524138
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SACICA: a sparse approximation coefficient-based ICA model for functional magnetic resonance imaging data analysis.
    Wang N; Zeng W; Chen L
    J Neurosci Methods; 2013 May; 216(1):49-61. PubMed ID: 23563324
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mapping the time-varying functional brain networks in response to naturalistic movie stimuli.
    Song L; Ren Y; Wang K; Hou Y; Nie J; He X
    Front Neurosci; 2023; 17():1199150. PubMed ID: 37397459
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Signal sampling for efficient sparse representation of resting state FMRI data.
    Ge B; Makkie M; Wang J; Zhao S; Jiang X; Li X; Lv J; Zhang S; Zhang W; Han J; Guo L; Liu T
    Brain Imaging Behav; 2016 Dec; 10(4):1206-1222. PubMed ID: 26646924
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dual Temporal and Spatial Sparse Representation for Inferring Group-Wise Brain Networks From Resting-State fMRI Dataset.
    Gong J; Liu X; Liu T; Zhou J; Sun G; Tian J
    IEEE Trans Biomed Eng; 2018 May; 65(5):1035-1048. PubMed ID: 28796604
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Functional brain networks reconstruction using group sparsity-regularized learning.
    Zhao Q; Li WXY; Jiang X; Lv J; Lu J; Liu T
    Brain Imaging Behav; 2018 Jun; 12(3):758-770. PubMed ID: 28600738
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Functional connectivity profiles of the default mode and visual networks reflect temporal accumulative effects of sustained naturalistic emotional experience.
    Xu S; Zhang Z; Li L; Zhou Y; Lin D; Zhang M; Zhang L; Huang G; Liu X; Becker B; Liang Z
    Neuroimage; 2023 Apr; 269():119941. PubMed ID: 36791897
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts.
    Zhao S; Han J; Jiang X; Huang H; Liu H; Lv J; Guo L; Liu T
    Neuroinformatics; 2018 Oct; 16(3-4):309-324. PubMed ID: 29488069
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Morphological Component Analysis of Functional MRI Brain Networks.
    Nguyen HM; Chen J; Glover GH
    IEEE Trans Biomed Eng; 2022 Oct; 69(10):3193-3204. PubMed ID: 35358040
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of brain functional connectivity network in MS patients constructed by modular structure of sparse weights from cognitive task-related fMRI.
    Miri Ashtiani SN; Behnam H; Daliri MR; Hossein-Zadeh GA; Mehrpour M
    Australas Phys Eng Sci Med; 2019 Dec; 42(4):921-938. PubMed ID: 31452057
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.