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98
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IPMI
2005
Springer
16 years 1 months ago
A Riemannian Approach to Diffusion Tensor Images Segmentation
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images. Our approach is grounded on the theoretically well-founded differential...
Christophe Lenglet, Mikaël Rousson, Rachid De...
CVPR
2003
IEEE
16 years 2 months ago
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space
In this paper, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture ...
Mikaël Rousson, Rachid Deriche, Thomas Brox
104
Voted
GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
15 years 4 months ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell
104
Voted
ICPR
2010
IEEE
14 years 11 months ago
3D Vertebrae Segmentation in CT Images with Random Noises
Exposure levels (X-ray tube amperage and peak kilovoltage) are associated with various noise levels and radiation dose. When higher exposure levels are applied, the images have hi...
Melih Seref Aslan
131
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MICCAI
2004
Springer
16 years 1 months ago
Implicit Active Shape Models for 3D Segmentation in MR Imaging
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
Mikaël Rousson, Nikos Paragios, Rachid Derich...