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» Brain Warping with Implicit Representations
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CAGD
2010
132views more  CAGD 2010»
13 years 2 months ago
Simplicial diffeomorphisms
In this paper we introduce a new framework for geometric modeling that combines implicit and parametric surface representations with volumetric warpings. The framework is based on...
Vinícius Mello, Luiz Velho
ISBI
2004
IEEE
14 years 5 months ago
Diffusion Smoothing on Brain Surface via Finite Element Method
Surface data such as the segmented cortical surface of the human brain plays an important role in medical imaging. To increase the signal-to-noise ratio for data residing on the b...
Moo Chung, Jonathan Taylor
CVPR
2012
IEEE
11 years 7 months ago
Pose pooling kernels for sub-category recognition
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...
Ning Zhang, Ryan Farrell, Trevor Darrell
TIP
2008
107views more  TIP 2008»
13 years 4 months ago
Accurate Inversion of 3-D Transformation Fields
Abstract--This correspondence addresses the inversion of 3-D transformation fields, which is a problem that typically arises in image warping problems. A topology preserving parame...
Vincent Noblet, Christian Heinrich, Fabrice Heitz,...
MICCAI
2008
Springer
14 years 6 months ago
Label Space: A Coupled Multi-shape Representation
Richly labeled images representing several sub-structures of an organ occur quite frequently in medical images. For example, a typical brain image can be labeled into grey matter, ...
James G. Malcolm, Yogesh Rathi, Martha Elizabeth...