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MICCAI
2009
Springer
14 years 6 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
AVI
2010
13 years 6 months ago
Showtime: increasing viewer understanding of dynamic network visualisations
Visualisations of dynamic networks are animated over time, reflecting changes in the underlying data structure. As viewers of these visualisations, it is up to us to accurately pe...
Ross Shannon, Aaron J. Quigley, Paddy Nixon
DFT
2008
IEEE
138views VLSI» more  DFT 2008»
13 years 11 months ago
Exploring Density-Reliability Tradeoffs on Nanoscale Substrates: When do smaller less reliable devices make sense?
It is widely recognized that device and interconnect fabrics at the nanoscale will be characterized by an increased susceptibility to transient faults. This appears to be intrinsi...
Andrey V. Zykov, Gustavo de Veciana
IPMI
2003
Springer
14 years 6 months ago
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
Active Shape Models (ASM) have proven to be an effective approach for image segmentation. In some applications, however, the linear model of gray level appearance around a contour ...
Marleen de Bruijne, Bram van Ginneken, Max A. Vier...
JCNS
2000
165views more  JCNS 2000»
13 years 5 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina