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» Approximation Techniques for Spatial Data
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ISBI
2006
IEEE
14 years 9 months ago
Segmenting a beating heart using polysegment and Spatial GPCA
Given a volume of cardiac MR images, we consider the problem of segmenting the heart based on intensity and dynamics. We first segment the heart and the chest from the background ...
Avinash Ravichandran, René Vidal, Henry Hal...
NAR
2006
110views more  NAR 2006»
13 years 8 months ago
EMAGE: a spatial database of gene expression patterns during mouse embryo development
EMAGE (http://genex.hgu.mrc.ac.uk/Emage/database) is a freely available, curated database of gene expression patterns generated by in situ techniques in the developing mouse embry...
Jeffrey H. Christiansen, Yiya Yang, Shanmugasundar...
DEXAW
2005
IEEE
193views Database» more  DEXAW 2005»
14 years 2 months ago
Adaptive Distributed Indexing for Spatial Queries in Sensor Networks
Sensor networks have opened new horizons and opportunities for a variety of environmental monitoring, surveillance and healthcare applications. One of the major tasks of sensor ne...
Vladimir Dyo, Cecilia Mascolo
MICCAI
2009
Springer
14 years 10 months ago
Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity
High angular resolution diffusion imaging (HARDI) has become an important magnetic resonance technique for in vivo imaging. Current techniques for estimating the diffusion orientat...
Alvina Goh, Christophe Lenglet, Paul M. Thompson, ...
WSC
2004
13 years 10 months ago
Simulation Input Updating Using Bayesian Techniques
Simulation built on assumption and approximation has been traditionally utilized to make predictions prior to construction. Although there are many benefits of simulation such as ...
Tae Hwan Chung, Yasser Mohamed, Simaan M. AbouRizk