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 *

159 related articles for article (PubMed ID: 29288129)

  • 1. A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison.
    Zhang T; Pham M; Sun J; Yan G; Li H; Sun Y; Gonzalez MZ; Coan JA
    Neuroimage; 2018 Jun; 173():580-591. PubMed ID: 29288129
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A semi-parametric model of the hemodynamic response for multi-subject fMRI data.
    Zhang T; Li F; Beckes L; Coan JA
    Neuroimage; 2013 Jul; 75():136-145. PubMed ID: 23473935
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Nonparametric inference of the hemodynamic response using multi-subject fMRI data.
    Zhang T; Li F; Beckes L; Brown C; Coan JA
    Neuroimage; 2012 Nov; 63(3):1754-65. PubMed ID: 22982104
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI.
    Makni S; Idier J; Vincent T; Thirion B; Dehaene-Lambertz G; Ciuciu P
    Neuroimage; 2008 Jul; 41(3):941-69. PubMed ID: 18439839
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimating the delay of the fMRI response.
    Liao CH; Worsley KJ; Poline JB; Aston JA; Duncan GH; Evans AC
    Neuroimage; 2002 Jul; 16(3 Pt 1):593-606. PubMed ID: 12169246
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Group-level impacts of within- and between-subject hemodynamic variability in fMRI.
    Badillo S; Vincent T; Ciuciu P
    Neuroimage; 2013 Nov; 82():433-48. PubMed ID: 23735261
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modeling state-related fMRI activity using change-point theory.
    Lindquist MA; Waugh C; Wager TD
    Neuroimage; 2007 Apr; 35(3):1125-41. PubMed ID: 17360198
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Unsupervised robust nonparametric estimation of the hemodynamic response function for any fMRI experiment.
    Ciuciu P; Poline JB; Marrelec G; Idier J; Pallier C; Benali H
    IEEE Trans Med Imaging; 2003 Oct; 22(10):1235-51. PubMed ID: 14552578
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Joint maximum likelihood estimation of activation and Hemodynamic Response Function for fMRI.
    Bazargani N; Nosratinia A
    Med Image Anal; 2014 Jul; 18(5):711-24. PubMed ID: 24835179
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hemodynamic matrix factorization for functional magnetic resonance imaging.
    Hütel M; Antonelli M; Melbourne A; Ourselin S
    Neuroimage; 2021 May; 231():117814. PubMed ID: 33549748
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Adaptively and spatially estimating the hemodynamic response functions in fMRI.
    Wang J; Zhu H; Fan J; Giovanello K; Lin W
    Med Image Comput Comput Assist Interv; 2011; 14(Pt 2):269-76. PubMed ID: 21995038
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Spatially regularized machine learning for task and resting-state fMRI.
    Song X; Panych LP; Chen NK
    J Neurosci Methods; 2016 Jan; 257():214-28. PubMed ID: 26470627
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using voxel-specific hemodynamic response function in EEG-fMRI data analysis.
    Lu Y; Bagshaw AP; Grova C; Kobayashi E; Dubeau F; Gotman J
    Neuroimage; 2006 Aug; 32(1):238-47. PubMed ID: 16774839
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Increased sensitivity of fast BOLD fMRI with a subject-specific hemodynamic response function and application to epilepsy.
    Proulx S; Safi-Harb M; Levan P; An D; Watanabe S; Gotman J
    Neuroimage; 2014 Jun; 93 Pt 1():59-73. PubMed ID: 24582920
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A method to analyze low signal-to-noise ratio functional magnetic resonance imaging data.
    Zhu X; Kayali MA; Jansen BH
    J Integr Neurosci; 2015 Sep; 14(3):325-42. PubMed ID: 26058495
    [TBL] [Abstract][Full Text] [Related]  

  • 17. fMRI activation maps based on the NN-ARx model.
    Riera J; Bosch J; Yamashita O; Kawashima R; Sadato N; Okada T; Ozaki T
    Neuroimage; 2004 Oct; 23(2):680-97. PubMed ID: 15488418
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Data-driven HRF estimation for encoding and decoding models.
    Pedregosa F; Eickenberg M; Ciuciu P; Thirion B; Gramfort A
    Neuroimage; 2015 Jan; 104():209-20. PubMed ID: 25304775
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimation and classification of fMRI hemodynamic response patterns.
    Gibbons RD; Lazar NA; Bhaumik DK; Sclove SL; Chen HY; Thulborn KR; Sweeney JA; Hur K; Patterson D
    Neuroimage; 2004 Jun; 22(2):804-14. PubMed ID: 15193609
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A mixed L2 norm regularized HRF estimation method for rapid event-related fMRI experiments.
    Lei Y; Tong L; Yan B
    Comput Math Methods Med; 2013; 2013():643129. PubMed ID: 23762193
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.