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» A Framework for the Visualization of Brain Structures
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TMI
2008
154views more  TMI 2008»
13 years 8 months ago
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
Zhuowen Tu, Katherine Narr, Piotr Dollár, I...
ISBI
2006
IEEE
14 years 9 months ago
An efficient locally affine framework for the registration of anatomical structures
Non-Rigid image registration has been widely developed over the last years. However, many registration techniques do not take into account any a priori information on the structur...
Olivier Commowick, Vincent Arsigny, María J...
PAMI
2007
137views more  PAMI 2007»
13 years 8 months ago
Biometrics from Brain Electrical Activity: A Machine Learning Approach
—The potential of brain electrical activity generated as a response to a visual stimulus is examined in the context of the identification of individuals. Specifically, a framewor...
Ramaswamy Palaniappan, Danilo P. Mandic
ISBI
2004
IEEE
14 years 9 months ago
Anatomical Guided Segmentation with Non-Stationary Tissue Class Distributions in an Expectation-Maximization Framework
High quality segmentation of brain MR images is a challenging task. To deal with this problem many automatic segmentation methods rely on atlas information of anatomical structure...
Kilian M. Pohl, W. Eric L. Grimson, Sylvain Bouix,...
ISBI
2011
IEEE
13 years 3 days ago
Discriminative persistent homology of brain networks
It is known that the brain network has small-world and scalefree topology, but the network structures drastically change depending on how to threshold a connectivity matrix. The e...
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Bung-Nyu...