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KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
BMCBI
2007
97views more  BMCBI 2007»
13 years 7 months ago
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets
Background: Array comparative genome hybridization (aCGH) provides information about genomic aberrations. Alterations in the DNA copy number may cause the cell to malfunction, lea...
Carmen Lai, Hugo M. Horlings, Marc J. van de Vijve...
MICCAI
2004
Springer
14 years 8 months ago
Automatic Segmentation of Neonatal Brain MRI
This paper describes an automatic tissue segmentation method for neonatal MRI. The analysis and study of neonatal brain MRI is of great interest due to its potential for studying e...
Marcel Prastawa, John H. Gilmore, Weili Lin, Guido...
ICIP
2009
IEEE
13 years 5 months ago
An attention model for extracting components that merit identification
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
Mohammad Jahangiri, Maria Petrou
ENVSOFT
2006
125views more  ENVSOFT 2006»
13 years 7 months ago
Sensitivity analysis based on regional splits and regression trees (SARS-RT)
A global sensitivity analysis with regional properties is introduced. This method is demonstrated on two synthetic and one hydraulic example. It can be shown that an uncertainty a...
Florian Pappenberger, Ion Iorgulescu, Keith J. Bev...