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Publication
1851views
15 years 6 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
MICCAI
2007
Springer
14 years 6 months ago
Signal LMMSE Estimation from Multiple Samples in MRI and DT-MRI
A method to estimate the magnitude MR data from several noisy samples is presented. It is based on the Linear Minimum Mean Squared Error (LMMSE) estimator for the Rician noise mode...
Carl-Fredrik Westin, Carlos Alberola-López,...
CVPR
1999
IEEE
14 years 7 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...
BMCBI
2008
162views more  BMCBI 2008»
13 years 5 months ago
Background correction using dinucleotide affinities improves the performance of GCRMA
Background: High-density short oligonucleotide microarrays are a primary research tool for assessing global gene expression. Background noise on microarrays comprises a significan...
Raad Z. Gharaibeh, Anthony Fodor, Cynthia Gibas
ACCV
2006
Springer
13 years 11 months ago
Minimal Weighted Local Variance as Edge Detector for Active Contour Models
Performing segmentation of narrow, elongated structures with low contrast boundaries is a challenging problem. Boundaries of these structures are difficult to be located when noise...
Max W. K. Law, Albert C. S. Chung