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Publications of Salima Makni

Thesis

  1. S. Makni. Détection-estimation conjointe de l'activité cérébrale en IRMf. PhD thesis, Université de Paris--Sud, Orsay , France, Nov. 2006. Keyword(s): intra-subject analysis, fMRI, Bayesian inference, MCMC. [bibtex-entry]


Articles in journal or book chapters

  1. S. Makni, J. Idier, T. Vincent, B. Thirion, G. Dehaene-Lambertz, and P. Ciuciu. A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI. Neuroimage, 41(3):941-969, July 2008. Keyword(s): fMRI. [bibtex-entry]


  2. Christophe Grova, Salima Makni, G. Flandin, P. Ciuciu, J. Gotman, and J.-B. Poline. Anatomically informed interpolation of fMRI data on the cortical surface. Neuroimage, 31:1475-1486, 2006. [bibtex-entry]


  3. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline. Joint detection-estimation of brain activity in functional MRI: a multichannel deconvolution solution. IEEE Trans. Signal Processing, 53(9):3488-3502, Sep. 2005. [bibtex-entry]


Conference articles

  1. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline. Approche Bayésienne de détection-estimation conjointe de l'activité cérébrale en IRMf. In 5th TAIMA, Hammamet, Tunisie, pages 404-410, May 2007. [bibtex-entry]


  2. P. Ciuciu, J. Idier, and S. Makni. Modeling non-linear and non-stationary effects of the BOLD response using mixture models in fMRI. In Proc. 12th HBM CD-Rom, Florence, Italy, June 11-15 2006. [bibtex-entry]


  3. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline. Anatomically informed joint detection-estimation of brain activity. In Proc. 12th HBM CD-Rom, Florence, Italy, June 11-15 2006. Keyword(s): intra-subject analysis, fMRI, Bayesian inference, MCMC. [bibtex-entry]


  4. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline. Bayesian joint detection-estimation of brain activity using MCMC with a Gamma-Gaussian mixture prior model. In Proc. 31th Proc. IEEE ICASSP, volume V, Toulouse, France, pages 1093-1096, May 2006. Keyword(s): intra-subject analysis, fMRI, Bayesian inference, MCMC. [bibtex-entry]


  5. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline. Joint detection-estimation of brain activity in fMRI using an autoregressive noise model. In 3th Proc. IEEE ISBI, Arlington, VA, pages 1048-1051, Apr. 2006. [bibtex-entry]


  6. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline. Détection-estimation conjointe de l'activité cérébrale en imagerie fonctionnelle (IRMf). In Actes du 20$^{\mathrm{e}}$ colloque GRETSI, pages 295-298, Sep. 2005. [bibtex-entry]


  7. S. Makni, C. Grova, P. Ciuciu, and J.-B. Poline. An interpolation method for fMRI data extraction on the cortical surface. In Proc. 11th HBM, Toronto, Canada, June 2005. Keyword(s): fMRI, functional brain imaging, Bayesian approach, Hemodynamic Response Function, event-related experiment, Gibbs sampling, MCMC. [bibtex-entry]


  8. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline. A region-based method for the estimation of the neural impulse response in event-related fMRI. In Proc. 10th HBM, Budapest, Hungary, pages Poster number 367, June 2004. [bibtex-entry]


  9. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline. Semi-blind deconvolution of neural impulse response in event-related fMRI using Gibbs sampler. In Proc. 2th Proc. IEEE ISBI, Arlington, VA, pages 860-863, Apr. 2004. [bibtex-entry]


  10. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline. Semi-blind deconvolution of neural impulse response in fMRI using a Gibbs sampling method. In Proc. th Proc. IEEE ICASSP, volume V, Montreal, Quebec, Canada, pages 601-604, May 2004. [bibtex-entry]


Internal reports

  1. P. Ciuciu, S. Makni, J. Idier, and T. Vincent. Bayesian infernce of brain dynamics based on mixture models in fMRI. submitted to NIPS'07, NeuroSpin/CEA, June 2007. [bibtex-entry]



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