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» Analysis of Surfaces Using Constrained Regression Models
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MICCAI
2010
Springer
14 years 8 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
CVPR
2010
IEEE
15 years 5 months ago
Dense Non-rigid Surface Registration Using High-Order Graph Matching
In this paper, we propose a high-order graph matching formulation to address non-rigid surface matching. The singleton terms capture the geometric and appearance similarities (e.g...
Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Di...
MICCAI
2007
Springer
15 years 10 months ago
Interactive Contacts Resolution Using Smooth Surface Representation
Accurately describing interactions between medical devices and anatomical structures, or between anatomical structures themselves, is an essential step towards the adoption of comp...
Jérémie Dequidt, Julien Lenoir, Step...
CSDA
2010
157views more  CSDA 2010»
14 years 9 months ago
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
E. Dupuis Lozeron, M. P. Victoria-Feser
ISBI
2011
IEEE
14 years 1 months ago
Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
Omid Kohannim, Derrek P. Hibar, Jason L. Stein, Ne...