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» Bayesian Correction of Image Intensity with Spatial Consider...
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BMCBI
2010
106views more  BMCBI 2010»
12 years 11 months ago
Identification and correction of previously unreported spatial phenomena using raw Illumina BeadArray data
Background: A key stage for all microarray analyses is the extraction of feature-intensities from an image. If this step goes wrong, then subsequent preprocessing and processing s...
Mike L. Smith, Mark J. Dunning, Simon Tavaré...
ICIP
2010
IEEE
13 years 2 months ago
Spatial bayesian surprise for image saliency and quality assessment
We propose an alternative interpretation of Bayesian surprise in the spatial domain, to account for saliency arising from contrast in image context. Our saliency formulation is in...
Ioannis Gkioulekas, Georgios Evangelopoulos, Petro...
ICIP
2010
IEEE
13 years 2 months ago
A variational multiphase level set approach to simultaneous segmentation and bias correction
This paper presents a novel level set approach to simultaneous tissue segmentation and bias correction of Magnetic Resonance Imaging (MRI) images. We first model the distribution ...
Kaihua Zhang, Lei Zhang, Su Zhang
ISBI
2006
IEEE
14 years 5 months ago
Exact correction of sharply varying off-resonance effects in spiral MRI
Magnetic Resonance Imaging with non-Cartesian acquisition schemes suffer from blurring artifacts induced by offresonance. Conventional algorithms for off-resonance correction are ...
Mahender K. Makhijani, Krishna S. Nayak
MICCAI
2004
Springer
14 years 5 months ago
Robust Inter-slice Intensity Normalization Using Histogram Scale-Space Analysis
Abstract. This paper presents a robust method to correct for intensity differences across a series of aligned stained histological slices. The method is made up of two steps. First...
Julien Dauguet, Jean-Francois Mangin, Thierry Delz...