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 *

135 related articles for article (PubMed ID: 25129023)

  • 1. Finding multivariate outliers in fMRI time-series data.
    Magnotti JF; Billor N
    Comput Biol Med; 2014 Oct; 53():115-24. PubMed ID: 25129023
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
    De Martino F; Valente G; Staeren N; Ashburner J; Goebel R; Formisano E
    Neuroimage; 2008 Oct; 43(1):44-58. PubMed ID: 18672070
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multivariate analysis of neuronal interactions in the generalized partial least squares framework: simulations and empirical studies.
    Lin FH; McIntosh AR; Agnew JA; Eden GF; Zeffiro TA; Belliveau JW
    Neuroimage; 2003 Oct; 20(2):625-42. PubMed ID: 14568440
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Interpretable whole-brain prediction analysis with GraphNet.
    Grosenick L; Klingenberg B; Katovich K; Knutson B; Taylor JE
    Neuroimage; 2013 May; 72():304-21. PubMed ID: 23298747
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multiclass fMRI data decoding and visualization using supervised self-organizing maps.
    Hausfeld L; Valente G; Formisano E
    Neuroimage; 2014 Aug; 96():54-66. PubMed ID: 24531045
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Bayesian multilevel model for fMRI data analysis.
    Ferreira da Silva AR
    Comput Methods Programs Biomed; 2011 Jun; 102(3):238-52. PubMed ID: 20580117
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Outliers detection in multivariate time series by independent component analysis.
    Baragona R; Battaglia F
    Neural Comput; 2007 Jul; 19(7):1962-84. PubMed ID: 17521286
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An introduction to anatomical ROI-based fMRI classification analysis.
    Etzel JA; Gazzola V; Keysers C
    Brain Res; 2009 Jul; 1282():114-25. PubMed ID: 19505449
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Activation detection in fMRI using a maximum energy ratio statistic obtained by adaptive spatial filtering.
    Hossein-Zadeh GA; Ardekani BA; Soltanian-Zadeh H
    IEEE Trans Med Imaging; 2003 Jul; 22(7):795-805. PubMed ID: 12906234
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis.
    Sato JR; Fujita A; Cardoso EF; Thomaz CE; Brammer MJ; Amaro E
    Neuroimage; 2010 Oct; 52(4):1444-55. PubMed ID: 20472076
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Voxel selection in FMRI data analysis based on sparse representation.
    Li Y; Namburi P; Yu Z; Guan C; Feng J; Gu Z
    IEEE Trans Biomed Eng; 2009 Oct; 56(10):2439-51. PubMed ID: 19567340
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multivariate analysis of fMRI time series: classification and regression of brain responses using machine learning.
    Formisano E; De Martino F; Valente G
    Magn Reson Imaging; 2008 Sep; 26(7):921-34. PubMed ID: 18508219
    [TBL] [Abstract][Full Text] [Related]  

  • 13. PCA leverage: outlier detection for high-dimensional functional magnetic resonance imaging data.
    Mejia AF; Nebel MB; Eloyan A; Caffo B; Lindquist MA
    Biostatistics; 2017 Jul; 18(3):521-536. PubMed ID: 28334131
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Convolution power spectrum analysis for FMRI data based on prior image signal.
    Zhang J; Chen H; Fang F; Liao W
    IEEE Trans Biomed Eng; 2010 Feb; 57(2):343-52. PubMed ID: 19758854
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis of FMRI data using an integrated principal component analysis and supervised affinity propagation clustering approach.
    Zhang J; Tuo X; Yuan Z; Liao W; Chen H
    IEEE Trans Biomed Eng; 2011 Nov; 58(11):3184-96. PubMed ID: 21859596
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using ICA and realistic BOLD models to obtain joint EEG/fMRI solutions to the problem of source localization.
    Brookings T; Ortigue S; Grafton S; Carlson J
    Neuroimage; 2009 Jan; 44(2):411-20. PubMed ID: 18845263
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cortex-based independent component analysis of fMRI time series.
    Formisano E; Esposito F; Di Salle F; Goebel R
    Magn Reson Imaging; 2004 Dec; 22(10):1493-504. PubMed ID: 15707799
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Feature-space-based FMRI analysis using the optimal linear transformation.
    Sun F; Morris D; Lee W; Taylor MJ; Mills T; Babyn PS
    IEEE Trans Inf Technol Biomed; 2010 Sep; 14(5):1279-90. PubMed ID: 20813627
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spatially adaptive mixture modeling for analysis of FMRI time series.
    Vincent T; Risser L; Ciuciu P
    IEEE Trans Med Imaging; 2010 Apr; 29(4):1059-74. PubMed ID: 20350840
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Clustered components analysis for functional MRI.
    Chen S; Bouman CA; Lowe MJ
    IEEE Trans Med Imaging; 2004 Jan; 23(1):85-98. PubMed ID: 14719690
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.