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» On the Manifold Structure of the Space of Brain Images
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ICCV
2003
IEEE
16 years 1 months ago
Learning a Locality Preserving Subspace for Visual Recognition
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zh...
MICCAI
2003
Springer
16 years 17 days ago
De-noising SPECT/PET Images Using Cross-Scale Regularization
De-noising of SPECT and PET images is a challenging task due to the inherent low signal-to-noise ratio of acquired data. Wavelet based multiscale denoising methods typically apply ...
Yinpeng Jin, Elsa D. Angelini, Peter D. Esser, And...
TMI
2010
123views more  TMI 2010»
14 years 6 months ago
Optimal Experimental Design for Diffusion Kurtosis Imaging
Diffusion Kurtosis Imaging (DKI) is a new magnetic resonance imaging model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI param...
Dirk H. J. Poot, Arnold Jan den Dekker, Eric Achte...
ICCV
2007
IEEE
16 years 1 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
GCB
2009
Springer
193views Biometrics» more  GCB 2009»
15 years 3 months ago
Integration and Visualisation of Multimodal Biological Data
: Understanding complex biological systems requires data from manifold biological levels. Often this data is analysed in some meaningful context, for example, by integrating it int...
Hendrik Rohn, Christian Klukas, Falk Schreiber