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IPMI
2005
Springer
14 years 7 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...
MICCAI
2004
Springer
14 years 7 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...
IJCV
2006
166views more  IJCV 2006»
13 years 6 months ago
Fast Constrained Surface Extraction by Minimal Paths
A new approach performing surface extraction from 3D images under user defined geometrical constraints is presented. The constraints are introduced through boundary curves given by...
Roberto Ardon, Laurent D. Cohen
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
13 years 11 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
TMI
2002
155views more  TMI 2002»
13 years 5 months ago
Active Shape Model Segmentation with Optimal Features
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...