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» Increasing statistical power in medical image analysis
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ISBI
2004
IEEE
14 years 8 months ago
Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
Olivier D. Faugeras, Bertrand Thirion
PR
2007
101views more  PR 2007»
13 years 7 months ago
Use of power law models in detecting region of interest
In this paper, we shall address the issue of semantic extraction of different regions of interest. The proposed approach is based on statistical methods and models inspired from l...
Yves Caron, Pascal Makris, Nicole Vincent
NIPS
2004
13 years 9 months ago
Joint MRI Bias Removal Using Entropy Minimization Across Images
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
Erik G. Learned-Miller, Parvez Ahammad
MICCAI
2007
Springer
14 years 8 months ago
Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy
In this paper, we propose a unified framework for computing atlases from manually labeled data at various degrees of "sharpness" and the joint registration-segmentation o...
B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, ...
ISBI
2011
IEEE
12 years 11 months ago
Exact integration of diffusion orientation distribution functions for graph-based diffusion MRI analysis
Graph-based image analysis methods are increasingly being applied to diffusion MRI (dMRI) analysis. Unfortunately, weighting the graph for these methods involves solving a complex...
Brian G. Booth, Ghassan Hamarneh