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ISBI
2007
IEEE
13 years 10 months ago
Statistically-Constrained Deformable Registration of Mr Brain Images
Statistical models of deformations (SMD) capture the variability of deformations of a group of sample images, and they are often used to constrain deformable registration, thereby...
Zhong Xue, Dinggang Shen
MICCAI
2005
Springer
13 years 9 months ago
Learning Best Features for Deformable Registration of MR Brains
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...
Guorong Wu, Feihu Qi, Dinggang Shen
ICCTA
2007
IEEE
13 years 10 months ago
Deformation Correction in Brain MRI Using Mutual Information and Genetic Algorithm
During MR imaging, the image of the object may get deformed due to the slope between the MR probe and the object. It is in general undesirable, particularly for 3D imaging. In thi...
Pradipta Maji, Bhabatosh Chanda, Malay Kumar Kundu...
IPMI
2007
Springer
14 years 4 months ago
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images
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...
Guorong Wu, Feihu Qi, Dinggang Shen
ECCV
2000
Springer
14 years 5 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...