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» Data Mining from Functional Brain Images
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ICIP
2002
IEEE
16 years 5 months ago
Applications of multiwavelet techniques to image denoising
The developments in wavelet theory have given rise to the wavelet thresholding method, for extracting a signal from noisy data [1,2]. Multiwavelets, wavelets with several scaling ...
Aysin Ertüzün, Erdem Bala
MICCAI
2005
Springer
16 years 5 months ago
Segmentation of Neighboring Organs in Medical Image with Model Competition
Abstract. This paper presents a novel approach for image segmentation by introducing competition between neighboring shape models. Our method is motivated by the observation that e...
Pingkun Yan, Weijia Shen, Ashraf A. Kassim, Mubara...
CVPR
2009
IEEE
16 years 11 months ago
New Appearance Models for Natural Image Matting
Image matting is the task of estimating a fore- and background layer from a single image. To solve this ill posed problem, an accurate modeling of the scene’s appearance is ne...
Dheeraj Singaraju (Johns Hopkins University), Cars...
ICASSP
2010
IEEE
15 years 2 months ago
Independent subspace analysis with prior information for fMRI data
Independent component analysis (ICA) has been successfully applied for the analysis of functional magnetic resonance imaging (fMRI) data. However, independence might be too strong...
Sai Ma, Xi-Lin Li, Nicolle M. Correa, Tülay A...
CVPR
2006
IEEE
16 years 6 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum