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» Deformable Organisms for Automatic Medical Image Analysis
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ISBI
2011
IEEE
12 years 11 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
IPMI
1999
Springer
14 years 8 months ago
New Variants of a Method of MRI Scale Normalization
One of the major drawbacks of Magnetic Resonance Imaging (MRI) has been the lack of a standard and quantifiable interpretation of image intensities. This causes many difficulties i...
Jayaram K. Udupa, László G. Ny&uacut...
CA
1999
IEEE
13 years 12 months ago
Skin Aging Estimation by Facial Simulation
We propose a layered facial simulation model for skin aging with wrinkles, which includes muscle, connective tissue and skin layer. Our aim is to simulate relevant facial animatio...
Yin Wu, Pierre Beylot, Nadia Magnenat-Thalmann
CVPR
1998
IEEE
14 years 9 months ago
Anomaly Detection through Registration
We study an application of image registration in the medical domain. Based on a 3-D hierarchical deformable registration algorithm, we developed a prototype for automatic register...
Mei Chen, Takeo Kanade, Henry A. Rowley, Dean Pome...
CVBIA
2005
Springer
14 years 1 months ago
Automatic Extraction of Femur Contours from Hip X-Ray Images
Abstract. Extraction of bone contours from x-ray images is an important first step in computer analysis of medical images. It is more complex than the segmentation of CT and MR im...
Ying Chen, Xianhe Ee, Wee Kheng Leow, Tet Sen Howe