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» A Statistical Shape Model without Using Landmarks
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ISMB
2004
15 years 3 months ago
Exploiting conserved structure for faster annotation of non-coding RNAs without loss of accuracy
Motivation: Non-coding RNAs (ncRNAs)--functional RNA molecules not coding for proteins--are grouped into hundreds of families of homologs. To find new members of an ncRNA gene fam...
Zasha Weinberg, Walter L. Ruzzo
106
Voted
IPMI
2005
Springer
16 years 3 months ago
Capturing Anatomical Shape Variability Using B-Spline Registration
Registration based on B-spline transformations has attracted much attention in medical image processing recently. Non-rigid registration provides the basis for many important techn...
Thomas H. Wenckebach, Hans Lamecker, Hans-Christia...
134
Voted
ECCV
2010
Springer
15 years 7 months ago
Inferring 3D Shapes and Deformations from Single Views
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
ICCV
2009
IEEE
15 years 21 hour ago
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...
ICPR
2006
IEEE
16 years 3 months ago
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
Andreas Herzog, Bernd Michaelis, Gerald Krell, Kat...