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» A Statistical Approach to Volume Data Quality Assessment
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EON
2007
13 years 11 months ago
Detecting Quality Problems in Semantic Metadata without the Presence of a Gold Standard
Detecting quality problems in semantic metadata is crucial for ensuring a high quality semantic web. Current approaches are primarily focused on the algorithms used in semantic met...
Yuangui Lei, Andriy Nikolov
ICIP
2003
IEEE
14 years 11 months ago
Robust statistical registration of 3D ultrasound images using texture information
We investigate a new registration method for ultrasound volumes relying on on a statistical texture-basedsimilarity measure. Texture information is given by spatial Gabor filters ...
R. Francois, Ronan Fablet, Christian Barillot
CAGD
2006
120views more  CAGD 2006»
13 years 10 months ago
Quality meshing of implicit solvation models of biomolecular structures
This paper describes a comprehensive approach to construct quality meshes for implicit solvation models of biomolecular structures starting from atomic resolution data in the Prot...
Yongjie Zhang, Guoliang Xu, Chandrajit L. Bajaj
SI3D
2005
ACM
14 years 3 months ago
Volume catcher
It is difficult to obtain a specific region within unsegmented volume data (region of interest, ROI). The user must first segment the volume, a task which itself involves signi...
Shigeru Owada, Frank Nielsen, Takeo Igarashi
ISBI
2008
IEEE
14 years 10 months ago
Controlling the error in FMRI: Hypothesis testing or set estimation?
This paper describes a new methodology and associated theoretical analysis for rapid and accurate extraction of activation regions from functional MRI data. Most fMRI data analysi...
Aarti Singh, Rebecca Willett, Robert Nowak, Zachar...