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ICIP
2001
IEEE
14 years 6 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
CVPR
2010
IEEE
13 years 9 months ago
Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images
The automatic detection of lung nodules attached to other pulmonary structures is a useful yet challenging task in lung CAD systems. In this paper, we propose a stratified statist...
Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Ki...
CHI
2001
ACM
14 years 5 months ago
Chinese input with keyboard and eye-tracking: an anatomical study
Chinese input presents unique challenges to the field of human computer interaction. This study provides an anatomical analysis of today's standard Chinese input process, whi...
Jingtao Wang, Shumin Zhai, Hui Su
MICCAI
2004
Springer
14 years 5 months ago
Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
Christophe Lenglet, Mikaël Rousson, Rachid De...
MICCAI
2006
Springer
14 years 5 months ago
Probabilistic Brain Atlas Encoding Using Bayesian Inference
This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. We propose a general mesh-based atlas representation, and compare diff...
Koen Van Leemput