135 related articles for article (PubMed ID: 22960507)
1. How ignoring physiological noise can bias the conclusions from fMRI simulation results.
Welvaert M; Rosseel Y
J Neurosci Methods; 2012 Oct; 211(1):125-32. PubMed ID: 22960507
[TBL] [Abstract][Full Text] [Related]
2. Nonstationary noise estimation in functional MRI.
Long CJ; Brown EN; Triantafyllou C; Aharon I; Wald LL; Solo V
Neuroimage; 2005 Dec; 28(4):890-903. PubMed ID: 16129625
[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. Unified SPM-ICA for fMRI analysis.
Hu D; Yan L; Liu Y; Zhou Z; Friston KJ; Tan C; Wu D
Neuroimage; 2005 Apr; 25(3):746-55. PubMed ID: 15808976
[TBL] [Abstract][Full Text] [Related]
5. Bayesian methods for FMRI time-series analysis using a nonstationary model for the noise.
Oikonomou VP; Tripoliti EE; Fotiadis DI
IEEE Trans Inf Technol Biomed; 2010 May; 14(3):664-74. PubMed ID: 20123577
[TBL] [Abstract][Full Text] [Related]
6. fMRI data analysis with nonstationary noise models: a Bayesian approach.
Luo H; Puthusserypady S
IEEE Trans Biomed Eng; 2007 Sep; 54(9):1621-30. PubMed ID: 17867354
[TBL] [Abstract][Full Text] [Related]
7. Gaussian mixture model-based noise reduction in resting state fMRI data.
Garg G; Prasad G; Coyle D
J Neurosci Methods; 2013 Apr; 215(1):71-7. PubMed ID: 23499197
[TBL] [Abstract][Full Text] [Related]
8. Adaptive denoising of event-related functional magnetic resonance imaging data using spectral subtraction.
Kadah YM
IEEE Trans Biomed Eng; 2004 Nov; 51(11):1944-53. PubMed ID: 15536896
[TBL] [Abstract][Full Text] [Related]
9. Likelihood-based hypothesis tests for brain activation detection from MRI data disturbed by colored noise: a simulation study.
den Dekker AJ; Poot DH; Bos R; Sijbers J
IEEE Trans Med Imaging; 2009 Feb; 28(2):287-96. PubMed ID: 19188115
[TBL] [Abstract][Full Text] [Related]
10. Spatially adapted total variation model to remove multiplicative noise.
Chen DQ; Cheng LZ
IEEE Trans Image Process; 2012 Apr; 21(4):1650-62. PubMed ID: 22020685
[TBL] [Abstract][Full Text] [Related]
11. Multisubject activation detection in fMRI by testing correlation of data with a signal subspace.
Shams SM; Hossein-Zadeh GA; Soltanian-Zadeh H
Magn Reson Imaging; 2006 Jul; 24(6):775-84. PubMed ID: 16824972
[TBL] [Abstract][Full Text] [Related]
12. Estimation of the intrinsic dimensionality of fMRI data.
Cordes D; Nandy RR
Neuroimage; 2006 Jan; 29(1):145-54. PubMed ID: 16202626
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. PHYCAA+: an optimized, adaptive procedure for measuring and controlling physiological noise in BOLD fMRI.
Churchill NW; Strother SC
Neuroimage; 2013 Nov; 82():306-25. PubMed ID: 23727534
[TBL] [Abstract][Full Text] [Related]
15. The quantitative evaluation of functional neuroimaging experiments: the NPAIRS data analysis framework.
Strother SC; Anderson J; Hansen LK; Kjems U; Kustra R; Sidtis J; Frutiger S; Muley S; LaConte S; Rottenberg D
Neuroimage; 2002 Apr; 15(4):747-71. PubMed ID: 11906218
[TBL] [Abstract][Full Text] [Related]
16. PHYCAA: data-driven measurement and removal of physiological noise in BOLD fMRI.
Churchill NW; Yourganov G; Spring R; Rasmussen PM; Lee W; Ween JE; Strother SC
Neuroimage; 2012 Jan; 59(2):1299-314. PubMed ID: 21871573
[TBL] [Abstract][Full Text] [Related]
17. Quasi-Monte Carlo estimation approach for denoising MRI data based on regional statistics.
Wong A; Mishra AK
IEEE Trans Biomed Eng; 2011 Apr; 58(4):1076-83. PubMed ID: 20442039
[TBL] [Abstract][Full Text] [Related]
18. Thermal noise calculation method for precise estimation of the signal-to-noise ratio of ultra-low-field MRI with an atomic magnetometer.
Yamashita T; Oida T; Hamada S; Kobayashi T
J Magn Reson; 2012 Feb; 215():100-8. PubMed ID: 22261121
[TBL] [Abstract][Full Text] [Related]
19. Bayesian spatiotemporal model of fMRI data.
Quirós A; Diez RM; Gamerman D
Neuroimage; 2010 Jan; 49(1):442-56. PubMed ID: 19646535
[TBL] [Abstract][Full Text] [Related]
20. Estimating non-Gaussian diffusion model parameters in the presence of physiological noise and Rician signal bias.
Kristoffersen A
J Magn Reson Imaging; 2012 Jan; 35(1):181-9. PubMed ID: 21972173
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
