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BMCBI
2008
160views more  BMCBI 2008»
13 years 7 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...
CONNECTION
2010
144views more  CONNECTION 2010»
13 years 5 months ago
The roles of the amygdala in the affective regulation of body, brain, and behaviour
Abstract. Despite the great amount of knowledge produced by the neuroscientific literature affective phenomena, current models tackling noncognitive aspects of behavior are often b...
Marco Mirolli, Francesco Mannella, Gianluca Baldas...
MICCAI
2009
Springer
14 years 8 months ago
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....
CEC
2007
IEEE
14 years 1 months ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay
DAC
2005
ACM
14 years 8 months ago
A new canonical form for fast boolean matching in logic synthesis and verification
? An efficient and compact canonical form is proposed for the Boolean matching problem under permutation and complementation of variables. In addition an efficient algorithm for co...
Afshin Abdollahi, Massoud Pedram