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» Image Segmentation Using Local Variation
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EMMCVPR
2005
Springer
14 years 1 months ago
A New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images
Abstract. We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two known curves (the constr...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
MICCAI
2006
Springer
14 years 8 months ago
Improving Segmentation of the Left Ventricle Using a Two-Component Statistical Model
Abstract. Quality of segmentations obtained by 3D Active Appearance Models (AAMs) crucially depends on underlying training data. MRI heart data, however, often come noisy, incomple...
Jirí Hladuvka, Katja Bühler, Sebastian...
DAGM
2006
Springer
13 years 11 months ago
A Probabilistic Multi-phase Model for Variational Image Segmentation
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability b...
Thomas Pock, Horst Bischof
MICCAI
2010
Springer
13 years 5 months ago
Construction of Patient Specific Atlases from Locally Most Similar Anatomical Pieces
Radiotherapy planning requires accurate delineations of the critical structures. To avoid manual contouring, atlas-based segmentation can be used to get automatic delineations. How...
Liliane Ramus, Olivier Commowick, Grégoire ...
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...