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160
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CIBCB
2009
IEEE
15 years 4 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
116
Voted
JCNS
2006
59views more  JCNS 2006»
15 years 3 months ago
Spatio-temporal filtering properties of a dendritic cable with active spines: A modeling study in the spike-diffuse-spike framew
The spike-diffuse-spike (SDS) model describes a passive dendritic tree with active dendritic spines. Spine-head dynamics is modeled with a simple integrate-and-fire process, whils...
Yulia Timofeeva, Gabriel J. Lord, Stephen Coombes
104
Voted
HCI
2009
15 years 1 months ago
DiamondTheater: A System for Reproducing Theater and Supporting Creative Activities
This paper describes a system called DiamondTheater that supports creative activities in theater using a tabletop tangible interface. This system is used to aid in the planning of ...
Tatsushi Takeuchi, Koichiro Watanabe, Tomoo Inoue,...
199
Voted
ISBI
2011
IEEE
14 years 7 months ago
3D segmentation of rodent brain structures using Active Volume Model with shape priors
Object boundary extraction is an important task in brain image analysis. Acquiring detailed 3D representations of the brain structures could improve the detection rate of diseases...
Shaoting Zhang, Junzhou Huang, Mustafa Gökhan...
143
Voted
ICCV
2001
IEEE
16 years 5 months ago
Gradient Vector Flow Fast Geodesic Active Contours
This paper proposes a new front propagation flow for boundary extraction. The proposed framework is inspired by the geodesic active contour model and leads to a paradigm that is r...
Nikos Paragios, Olivier Mellina-Gottardo, Visvanat...