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» Subspace Models for Functional MRI Data Analysis
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BMCBI
2005
140views more  BMCBI 2005»
14 years 9 months ago
Dissecting systems-wide data using mixture models: application to identify affected cellular processes
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
J. Peter Svensson, Renée X. de Menezes, Ing...
PLDI
2012
ACM
13 years 6 days ago
Diderot: a parallel DSL for image analysis and visualization
Research scientists and medical professionals use imaging technology, such as computed tomography (CT) and magnetic resonance imaging (MRI) to measure a wide variety of biological...
Charisee Chiw, Gordon Kindlmann, John Reppy, Lamon...
ICDM
2005
IEEE
136views Data Mining» more  ICDM 2005»
15 years 3 months ago
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
Tsuyoshi Idé
WACV
2008
IEEE
15 years 4 months ago
A non parametric approach for modeling interferometric SAR imagery and applications
In this paper, we present a non parametric modeling for phase maps of interferometric SAR. Cosine and Sine projections maps are generated from the SAR phase map, and each of them ...
Kuntal Sengupta, Prabir Burman
MICCAI
2006
Springer
15 years 10 months ago
Probabilistic Brain Atlas Encoding Using Bayesian Inference
This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. We propose a general mesh-based atlas representation, and compare diff...
Koen Van Leemput