6 search results - page 1 / 2 » Learning Best Features and Deformation Statistics for Hierar... |
IPMI
2007
Springer
14 years 5 months ago
2007
Springer
A fully learning-based framework has been presented for deformable registration of MR brain images. In this framework, the entire brain is first adaptively partitioned into a numbe...
MIAR
2006
IEEE
13 years 10 months ago
2006
IEEE
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
MICCAI
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper presents a learning method to select best geometric features for deformable brain registration. Best geometric features are selected for each brain location, a...
ISBI
2002
IEEE
14 years 5 months ago
2002
IEEE
This paper presents a statistical shape model for automatic skull stripping of MR brain images. A surface model of the brain boundary is hierarchically represented by a set of ove...
ISBI
2006
IEEE
13 years 10 months ago
2006
IEEE
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...