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» Active Volume Models for Medical Image Segmentation
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MICCAI
2009
Springer
16 years 1 months ago
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data
The exact localization of the mandibular nerve with respect to the bone is important for applications in dental implantology and maxillofacial surgery. Cone beam computed tomograph...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, ...
DAGSTUHL
2011
13 years 11 months ago
Feature Extraction for DW-MRI Visualization: The State of the Art and Beyond
By measuring the anisotropic self-diffusion rates of water, Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) provides a unique noninvasive probe of fibrous tissue. In par...
Thomas Schultz
IJCV
2011
264views more  IJCV 2011»
14 years 6 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
MICCAI
2010
Springer
14 years 9 months ago
Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs
Abstract. Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target obj...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Ste...
VIS
2007
IEEE
162views Visualization» more  VIS 2007»
16 years 1 months ago
Segmentation of Three-dimensional Retinal Image Data
We have combined methods from volume visualization and data analysis to support better diagnosis and treatment of human retinal diseases. Many diseases can be identified by abnorma...
Alfred R. Fuller, Rober t J. Zawadzki, Stacey Ch...