Urs E. Ruttimann, Michael Unser, Robert R. Rawlings, Daniel Rio, Nick F. Ramsey, et al.  Home/Search
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Abstract: The use of the wavelet transform is explored for the detection of differences between brain functional magnetic resonance images (fMRI's) acquired under two different experimental conditions. The method benefits from the fact that a smooth and spatially localized signal can be represented by a small set of localized wavelet coefficients, while the power of white noise is uniformly spread throughout the wavelet space. Hence, a statistical procedure is developed that uses the imposed... (Update)
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6: Orthonormal bases of compactly supported wavelets (context) - Daubechies - 1988
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BibTeX entry: (Update)
U. E. Ruttimann, M. Unser, R. R. Rawlings, D. Rio, N. F. Ramsey, V. S. Mattay, D. W. Hommer, J. A. Frank, and D. R. Weinberger, "Statistical analysis of functional mri data in the wavelet domain," IEEE Transactions on Medical Imaging 17, pp. 142--154, 1998. http://citeseer.ist.psu.edu/ruttimann98statistical.html More
@misc{ ruttimann98statistical,
author = "U. Ruttimann and M. Unser and R. Rawlings and D. Rio and N. Ramsey and
V. Mattay and D. Hommer and J. Frank and D. Weinberger",
title = "Statistical analysis of functional mri data in the wavelet domain",
text = "U. E. Ruttimann, M. Unser, R. R. Rawlings, D. Rio, N. F. Ramsey, V. S.
Mattay, D. W. Hommer, J. A. Frank, and D. R. Weinberger, Statistical analysis
of functional mri data in the wavelet domain, IEEE Transactions on Medical
Imaging 17, pp. 142--154, 1998.",
year = "1998",
url = "citeseer.ist.psu.edu/ruttimann98statistical.html" }
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