next up previous
Next: About this document ... Up: Advances in Functional and Previous: Acknowledgements

Bibliography

1
J.L.R. Andersson, C Hutton, J Ashburner, R Turner, and K Friston.
Modelling geometric distortions in EPI time series.
NeuroImage, 13(5):903-919, 2001.

2
P.R. Bannister, S.M. Smith, M. Brady, and M. Jenkinson.
Spatio-temporal realignment of FMRI data.
In Eighth Int. Conf. on Functional Mapping of the Human Brain, 2002.

3
C.F. Beckmann, M. Jenkinson, and S.M. Smith.
General multi-level linear modelling for group analysis in FMRI.
NeuroImage, 20:1052-1063, 2003.

4
C.F. Beckmann and S.M. Smith.
Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging.
IEEE Trans. on Medical Imaging, 23(2):137-152, 2004.

5
C.F. Beckmann and S.M. Smith.
Tensorial extensions of independent component analysis for multisubject FMRI analysis.
NeuroImage, 2005.
in press.

6
C.F. Beckmann, M.W. Woolrich, and S.M. Smith.
Gaussian / Gamma mixture modelling of ICA/GLM spatial maps.
In Ninth Int. Conf. on Functional Mapping of the Human Brain, 2003.

7
T E J Behrens, M W Woolrich, M Jenkinson, H Johansen-Berg, R G Nunes, S Clare, P M Matthews, J M Brady, and S M Smith.
Characterization and propagation of uncertainty in diffusion-weighted MR imaging.
Magn Reson Med, 50(5):1077-1088, Nov 2003.

8
T.E.J. Behrens, H. Johansen-Berg, M.W. Woolrich, S.M. Smith, C.A.M. Wheeler-Kingshott, P.A. Boulby, G.J. Barker, E.L. Sillery, K. Sheehan, O. Ciccarelli, A.J. Thompson, J.M. Brady, and P.M. Matthews.
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging.
Nature Neuroscience, 6(7):750-757, 2003.

9
M. Bianciardi, A. Cerasa, and G. Hagberg.
How experimental design and first-level filtering influence efficiency in second-level analysis of event-related fMRI data.
In Ninth Int. Conf. on Functional Mapping of the Human Brain, 2003.

10
B. Biswal, F.Z. Yetkin, Haughton V.M., and J.S. Hyde.
Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.
Magnetic Resonance in Medicine, 34:537-541, 1995.

11
R.B. Buxton, E.C. Wong, and L.R. Frank.
Dynamics of blood flow and oxygenation changes during brain activation: the balloon model.
Magnetic Resonance in Medicine, 39:855-864, 1998.

12
Basser P.J. Matiello J. Le Bihan D.
Estimation of the effective self-diffusion tensor from the NMR spin echo.
J. Magn. Reson. B, 103:247-254, 1994.

13
M. De Luca, C. Beckmann, P.M. Matthews, N. De Stefano, and S.M. Smith.
Spatial consistency of fMRI resting state networks across sessions and across subjects.
In Proc. Int. Soc. of Magnetic Resonance in Medicine, 2004.

14
M. De Luca, C.F. Beckmann, T. Behrens, S. Clare, P.M. Matthews, N. De Stefano, M. Woolrich, and S.M. Smith.
Low frequency signals in FMRI - "resting state networks" and the "intensity normalisation problem".
In Proc. Int. Soc. of Magnetic Resonance in Medicine, 2002.

15
N. De Stefano, M. Jenkinson, L. Guidi, M.L. Bartolozzi, A. Federico, and S.M. Smith.
Voxel-level cross-subject statistical analysis of brain atrophy in early relapsing remitting MS patients.
In Proc. Int. Soc. of Magnetic Resonance in Medicine, page 2625, 2003.

16
B.S Everitt and E.T. Bullmore.
Mixture model mapping of brain activation in functional magnetic resonance images.
Human Brain Mapping, 7:1-14, 1999.

17
K. J. Friston, W. Penny, C. Phillips, S. Kiebel, G. Hinton, and J. Ashburner.
Classical and Bayesian inference in neuroimaging: Theory.
NeuroImage, 16:465-483, 2002.

18
K.J. Friston, O. Josephs, E. Zarahn, A.P. Holmes, S. Rouquette, and J-B. Poline.
To smooth or not to smooth?
NeuroImage, 12:196-208, 2000.

19
A.P Holmes and K.J. Friston.
Generalisability, random effects & population inference.
In Fourth Int. Conf. on Functional Mapping of the Human Brain, NeuroImage, volume 7, page S754, 1998.

20
M. Jenkinson.
Improved unwarping of EPI volumes using regularised B0 maps.
In Seventh Int. Conf. on Functional Mapping of the Human Brain, 2001.

21
M. Jenkinson.
A fast, automated, n-dimensional phase unwrapping algorithm.
Magnetic Resonance in Medicine, 49(1):193-197, 2003.

22
M. Jenkinson, P.R. Bannister, J.M. Brady, and S.M. Smith.
Improved optimisation for the robust and accurate linear registration and motion correction of brain images.
NeuroImage, 17(2):825-841, 2002.

23
M. Jenkinson and S.M. Smith.
A global optimisation method for robust affine registration of brain images.
Medical Image Analysis, 5(2):143-156, June 2001.

24
M. Jenkinson, J. Wilson, and P. Jezzard.
Perturbation calculation of B0 field for non-conducting materials.
In Proc. Int. Soc. of Magnetic Resonance in Medicine, 2002.

25
P. Jezzard and R.S. Balaban.
Correction for geometric distortion in echo planar images from B0 field variations.
Magnetic Resonance in Medicine, 34:65-73, 1995.

26
H. Johansen-Berg, T.E.J Behrens, E.L. Sillery, O. Ciccarelli, C.A.M. Wheeler-Kingshott, A.J. Thompson, S.M. Smith, and P.M. Matthews.
Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus.
Cerebral Cortex, 15:31-39, January 2005.

27
R.K.S. Kwan, A.C. Evans, and G.B. Pike.
Mri simulation-based evaluation of image processing and classification methods.
IEEE Trans. on Medical Imaging, 18(11):1085-1097, November 1999.

28
D.J. McGonigle, A.M. Howseman, B.S. Athwal, K.J. Friston, R.S.J. Frackowiak, and A.P. Holmes.
Variability in fMRI: An examination of intersession differences.
NeuroImage, 11:708-734, 2000.

29
A. Roche, G. Malandain, X. Pennec, and N. Ayache.
The correlation ratio as a new similarity measure for multimodal image registration.
In Proc. of First Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'98), volume 1496 of LNCS, pages 1115-1124, Cambridge, USA, October 1998. Springer Verlag.

30
S.M. Smith.
Fast robust automated brain extraction.
Human Brain Mapping, 17(3):143-155, November 2002.

31
S.M. Smith, C.F. Beckmann, N. Ramnani, M.W. Woolrich, P.R. Bannister, M. Jenkinson, P.M. Matthews, and D.J. McGonigle.
Intersession variability in FMRI and the effect of different analysis methods.
In Ninth Int. Conf. on Functional Mapping of the Human Brain, 2003.

32
S.M. Smith and J.M. Brady.
SUSAN - a new approach to low level image processing.
International Journal of Computer Vision, 23(1):45-78, May 1997.

33
S.M. Smith and N. De Stefano.
Spatial statistical analysis of MTr images in different populations.
In Proc. Int. Soc. of Magnetic Resonance in Medicine, 2002.

34
S.M. Smith, N. De Stefano, M. Jenkinson, and P.M. Matthews.
Normalised accurate measurement of longitudinal brain change.
Journal of Computer Assisted Tomography, 25(3):466-475, May/June 2001.

35
S.M. Smith, Y. Zhang, M. Jenkinson, J. Chen, P.M. Matthews, A. Federico, and N. De Stefano.
Accurate, robust and automated longitudinal and cross-sectional brain change analysis.
NeuroImage, 17(1):479-489, 2002.

36
V. A. Stenger, H. Shi, D. Shroff, W. Eddy, and D. C. Noll.
fmri acquisition informatics tool.
In Human Brain Mapping, 2003.
poster 951.

37
Conturo T. Lori N. Cull T.
Tracking neuronal fiber pathways in the living human brain.
Proc Natl Acad Sci USA, 96:10422-10427, 1999.

38
P. Viola and W.M. Wells.
Alignment by maximization of mutual information.
International Journal of Computer Vision, 24(2):137-154, 1997.

39
M.W. Woolrich, T.E.J. Behrens, C.F. Beckmann, M. Jenkinson, and S.M. Smith.
Multi-level linear modelling for FMRI group analysis using Bayesian inference.
NeuroImage, 21(4):1732-1747, 2004.

40
M.W. Woolrich, T.E.J. Behrens, C.F. Beckmann, and S.M. Smith.
Mixture models with adaptive spatial regularisation for segmentation with an application to FMRI data.
IEEE Trans. on Medical Imaging, 24(1):1-11, 2005.

41
M.W. Woolrich, T.E.J. Behrens, and S.M. Smith.
Constrained linear basis sets for HRF modelling using Variational Bayes.
NeuroImage, 21(4):1748-1761, 2004.

42
M.W. Woolrich, M. Jenkinson, J.M. Brady, and S.M. Smith.
Fully Bayesian spatio-temporal modelling of FMRI data.
IEEE Trans. on Medical Imaging, 23(2):213-231, 2004.

43
M.W. Woolrich, B.D. Ripley, J.M. Brady, and S.M. Smith.
Temporal autocorrelation in univariate linear modelling of FMRI data.
NeuroImage, 14(6):1370-1386, 2001.

44
K.J. Worsley, A.C. Evans, S. Marrett, and P. Neelin.
A three-dimensional statistical analysis for CBF activation studies in human brain.
Journal of Cerebral Blood Flow and Metabolism, 12:900-918, 1992.

45
Y. Zhang, M. Brady, and S. Smith.
Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm.
IEEE Trans. on Medical Imaging, 20(1):45-57, 2001.



Stephen Smith 2005-02-25