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TMI
2010
217views more  TMI 2010»
13 years 2 months ago
A Generative Model for Image Segmentation Based on Label Fusion
We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inferen...
Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Le...
ECCV
2004
Springer
14 years 9 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
NIPS
2003
13 years 9 months ago
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
Leonid Sigal, Michael Isard, Benjamin H. Sigelman,...
ECCV
2000
Springer
14 years 9 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
IPMI
1999
Springer
14 years 8 months ago
Voxel Similarity Measures for 3D Serial MR Brain Image Registration
We investigated 7 di erent similarity measures for rigid body registration of serial MR brain scans. To assess their accuracy we used a set of 33 clinical 3D serial MR images, manu...
Mark Holden, Derek L. G. Hill, Erika R. E. Denton,...