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» A New Brain Segmentation Framework
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MICCAI
1998
Springer
13 years 11 months ago
Segmentation and Measurement of the Cortex from 3D MR Images
The cortex is the outermost thin layer of gray matter in the brain; geometric measurement of the cortex helps in understanding brain anatomy and function. In the quantitative analy...
Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz...
MICCAI
2002
Springer
14 years 8 months ago
New Approaches to Estimation of White Matter Connectivity in Diffusion Tensor MRI: Elliptic PDEs and Geodesics in a Tensor-Warpe
Abstract. We investigate new approaches to quantifying the white matter connectivity in the brain using Diffusion Tensor Magnetic Resonance Imaging data. Our first approach finds a...
Lauren O'Donnell, Steven Haker, Carl-Fredrik Westi...
MICCAI
2010
Springer
13 years 6 months ago
Manifold Learning for Biomarker Discovery in MR Imaging
We propose a framework for the extraction of biomarkers from low-dimensional manifolds representing inter- and intra-subject brain variation in MR image data. The coordinates of ea...
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel...
MIA
2011
111views more  MIA 2011»
13 years 2 months ago
Segmenting the prostate and rectum in CT imagery using anatomical constraints
The automatic segmentation of the prostate and rectum from 3-D computed tomography (CT) images is still a challenging problem, and is critical for image-guided therapy application...
Siqi Chen, D. Michael Lovelock, Richard J. Radke
CVPR
2007
IEEE
14 years 9 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger