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» Level Set Methods for Dynamic Tomography
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PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
13 years 11 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
TMI
2008
138views more  TMI 2008»
13 years 5 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
ISBI
2002
IEEE
14 years 6 months ago
Segmentation of biomedical images with eigenvectors
We propose the use of eigenvectors for automated multidimensional image segmentation. The approach of Shi and Malik [8] has been extended in three dimensions and applied on biomed...
Achilleas S. Frangakis, Reiner Hegerl
WSCG
2003
165views more  WSCG 2003»
13 years 7 months ago
High Dynamic Range Image Display Using Level Set Framework
This paper presents a novel solution to the High Dynamic Range (HDR) image compression problem using level set framework. Using level set framework, this method separates the HDR ...
R. Xu, Sumanta N. Pattanaik
SIAMSC
2008
113views more  SIAMSC 2008»
13 years 5 months ago
Limited Data X-Ray Tomography Using Nonlinear Evolution Equations
A novel approach to the X-ray tomography problem with sparse projection data is proposed. Non-negativity of the X-ray attenuation coefficient is enforced by modelling it as max{(x)...
Ville Kolehmainen, Matti Lassas, Samuli Siltanen