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» Deep Structure of Images in Populations Via Geometric Models...
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TMI
2002
248views more  TMI 2002»
13 years 5 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
ETVC
2008
13 years 7 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
ICIP
2003
IEEE
14 years 7 months ago
A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine
In this paper, we propose a new and accurate 3D reconstruction technique for the scoliotic spine from a pair planar and conventional radiographic images (postero-anterior and late...
Said Benameur, Max Mignotte, Stefan Parent, Hubert...
CGF
2000
197views more  CGF 2000»
13 years 5 months ago
Modelling Virtual Cities Dedicated to Behavioural Animation
In order to populate virtual cities, it is necessary to specify the behaviour of dynamic entities such as pedestrians or car drivers. Since a complete mental model based on vision...
Gwenola Thomas, Stéphane Donikian
ISBI
2007
IEEE
13 years 11 months ago
Segmentation of Mammosphere Structures from Volumetric Data
3D cell culture assays have emerged as the basis of an improved model system for evaluating therapeutic agents, molecular probes, and exogenous stimuli. However, there is a gap in...
Ju Han, Hang Chang, Qing Yang, Mary Helen Barcello...