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 *

62 related articles for article (PubMed ID: 22678839)

  • 1. Predicting consumer behavior: using novel mind-reading approaches.
    Calvert GA; Brammer MJ
    IEEE Pulse; 2012; 3(3):38-41. PubMed ID: 22678839
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Interpretable classifiers for FMRI improve prediction of purchases.
    Grosenick L; Greer S; Knutson B
    IEEE Trans Neural Syst Rehabil Eng; 2008 Dec; 16(6):539-48. PubMed ID: 19144586
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Recording brain waves at the supermarket: what can we learn from a shopper's brain?
    Sands SF; Sands JA
    IEEE Pulse; 2012; 3(3):34-7. PubMed ID: 22678838
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Beyond mind-reading: multi-voxel pattern analysis of fMRI data.
    Norman KA; Polyn SM; Detre GJ; Haxby JV
    Trends Cogn Sci; 2006 Sep; 10(9):424-30. PubMed ID: 16899397
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A classification of user-generated content into consumer decision journey stages.
    Vázquez S; Muñoz-García Ó; Campanella I; Poch M; Fisas B; Bel N; Andreu G
    Neural Netw; 2014 Oct; 58():68-81. PubMed ID: 24996448
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Non-linear registration of MR brain images integrated with machine learning].
    Wu GR; Qi FH
    Zhongguo Yi Liao Qi Xie Za Zhi; 2006 Jul; 30(4):268-70. PubMed ID: 17039935
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Non-medical applications for brain MRI: Ethical considerations].
    Sarrazin S; Fagot-Largeault A; Leboyer M; Houenou J
    Encephale; 2015 Apr; 41(2):151-8. PubMed ID: 24684848
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifying patients with Alzheimer's disease using resting-state fMRI and graph theory.
    Khazaee A; Ebrahimzadeh A; Babajani-Feremi A
    Clin Neurophysiol; 2015 Nov; 126(11):2132-41. PubMed ID: 25907414
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Classifier ensembles for fMRI data analysis: an experiment.
    Kuncheva LI; Rodríguez JJ
    Magn Reson Imaging; 2010 May; 28(4):583-93. PubMed ID: 20096528
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic classification of dyslexic children by applying machine learning to fMRI images.
    García Chimeno Y; García Zapirain B; Saralegui Prieto I; Fernandez-Ruanova B
    Biomed Mater Eng; 2014; 24(6):2995-3002. PubMed ID: 25227007
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Classifying spatial patterns of brain activity with machine learning methods: application to lie detection.
    Davatzikos C; Ruparel K; Fan Y; Shen DG; Acharyya M; Loughead JW; Gur RC; Langleben DD
    Neuroimage; 2005 Nov; 28(3):663-8. PubMed ID: 16169252
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Neuroimaging-based approaches in the brain-computer interface.
    Min BK; Marzelli MJ; Yoo SS
    Trends Biotechnol; 2010 Nov; 28(11):552-60. PubMed ID: 20810180
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Brain symmetry plane detection based on fractal analysis.
    Jayasuriya SA; Liew AW; Law NF
    Comput Med Imaging Graph; 2013; 37(7-8):568-80. PubMed ID: 23820390
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learning effective brain connectivity with dynamic Bayesian networks.
    Rajapakse JC; Zhou J
    Neuroimage; 2007 Sep; 37(3):749-60. PubMed ID: 17644415
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Characterizing the EEG correlates of exploratory behavior.
    Bourdaud N; Chavarriaga R; Galan F; Millan Jdel R
    IEEE Trans Neural Syst Rehabil Eng; 2008 Dec; 16(6):549-56. PubMed ID: 19144587
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A manual, semi-automated and automated ROI study of fMRI hemodynamic response.
    Zhang J; Buchsbaum MS; Chu KW; Hazlett EA
    Stud Health Technol Inform; 2013; 192():921. PubMed ID: 23920695
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Optimization of k-space trajectories for compressed sensing by Bayesian experimental design.
    Seeger M; Nickisch H; Pohmann R; Schölkopf B
    Magn Reson Med; 2010 Jan; 63(1):116-26. PubMed ID: 19859957
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.