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» Capturing Image Structure with Probabilistic Index Maps
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ISBI
2007
IEEE
14 years 1 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
ISBI
2006
IEEE
14 years 8 months ago
Use of 3-D cortical morphometry for mapping increased cortical gyrification and complexity in Williams syndrome
In this paper, we describe the use of three different shape measures -- i.e., shape index, curvedness, and L2 norm of mean curvature -- to quantify cortical gyrification and compl...
Duygu Tosun, Allan L. Reiss, Agatha D. Lee, Rebecc...
SSD
2007
Springer
124views Database» more  SSD 2007»
14 years 1 months ago
Querying Objects Modeled by Arbitrary Probability Distributions
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
PRL
2007
145views more  PRL 2007»
13 years 7 months ago
Multiple color texture map fusion for 3D models
A commonly encountered problem when creating 3D models of large real scenes is unnatural color texture fusion. Due to variations in lighting and camera settings (both manual and a...
Nobuyuki Bannai, Robert B. Fisher, Alexander Agath...
TMI
2011
147views more  TMI 2011»
13 years 2 months ago
Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model
Abstract—Backbone anatomical structure detection and labeling is a necessary step for various analysis tasks of the vertebral column. Appearance, shape and geometry measurements ...
Raja' S. Alomari, Jason J. Corso, Vipin Chaudhary