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IPMI
2007
Springer
10 years 5 months ago
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm
Abstract. We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the ...
Jason J. Corso, Zhuowen Tu, Alan L. Yuille, Arthur...
IPMI
2007
Springer
10 years 5 months ago
Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images
Parmeshwar Khurd, Ragini Verma, Christos Davatziko...
IPMI
2007
Springer
10 years 5 months ago
Joint Sulci Detection Using Graphical Models and Boosted Priors
In this paper we propose an automated approach for joint sulci detection on cortical surfaces by using graphical models and boosting techniques to incorporate shape priors of major...
Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca ...
IPMI
2007
Springer
10 years 5 months ago
Spine Detection and Labeling Using a Parts-Based Graphical Model
Abstract. The detection and extraction of complex anatomical structures usually involves a trade-off between the complexity of local feature extraction and classification, and th...
Stefan Schmidt, Jörg H. Kappes, Martin Bergth...
IPMI
2007
Springer
11 years 16 days ago
Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis
Abstract. A new method is introduced for estimating single-trial magnetoor electro-encephalography (M/EEG), based on a non-linear fit of timefrequency atoms. The method can be appl...
Christian Bénar, Maureen Clerc, Théo...
IPMI
2007
Springer
11 years 16 days ago
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis
This paper presents a novel statistical fuzzy-segmentation method for diffusion tensor (DT) images and magnetic resonance (MR) images. Typical fuzzy-segmentation schemes, e.g. thos...
Suyash P. Awate, James C. Gee
IPMI
2007
Springer
11 years 16 days ago
Localized Components Analysis
We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of spatially localized shape c...
Dan A. Alcantara, Owen T. Carmichael, Eric Delson,...
IPMI
2007
Springer
11 years 16 days ago
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images
A fully learning-based framework has been presented for deformable registration of MR brain images. In this framework, the entire brain is first adaptively partitioned into a numbe...
Guorong Wu, Feihu Qi, Dinggang Shen
IPMI
2007
Springer
11 years 16 days ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
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