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» Segmentation and Interpretation of MR Brain Images: An Impro...
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CVPR
2005
IEEE
14 years 10 months ago
Shape Regularized Active Contour Using Iterative Global Search and Local Optimization
Recently, nonlinear shape models have been shown to improve the robustness and flexibility of segmentation. In this paper, we propose Shape Regularized Active Contour (ShRAC) that...
Tianli Yu, Jiebo Luo, Narendra Ahuja
CVPR
2011
IEEE
13 years 9 days ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh
CVPR
2007
IEEE
14 years 10 months ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...
ICIP
2006
IEEE
14 years 10 months ago
Variational Textured Image Decomposition with Improved Edge Segregation
Image decomposition consists of splitting an image into two or more components. One component is piecewise smooth and models object shapes. Another component consists of the textu...
Reza Shahidi, Cecilia Moloney
ECCV
2002
Springer
14 years 10 months ago
3D Statistical Shape Models Using Direct Optimisation of Description Length
We describe an automatic method for building optimal 3D statistical shape models from sets of training shapes. Although shape models show considerable promise as a basis for segmen...
Rhodri H. Davies, Carole J. Twining, Timothy F. Co...