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ISBI
2011
IEEE
10 years 5 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...
MICCAI
2010
Springer
11 years 2 days ago
Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome
Abstract. This paper introduces a new method to detect group diļ¬€erences in brain images based on spatially regularized support vector machines (SVM). First, we propose to spatial...
Rémi Cuingnet, Charlotte Rosso, Stép...
MICCAI
2009
Springer
11 years 8 months ago
On the Manifold Structure of the Space of Brain Images
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
CVPR
2005
IEEE
12 years 3 months ago
Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
Functional Magnetic Resonance Imaging (fMRI) has enabled scientists to look into the active human brain. FMRI provides a sequence of 3D brain images with intensities representing ...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, No...
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