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MICCAI
2003
Springer
16 years 7 months ago
Computed Cleansing for Virtual Colonoscopy Using a Three-Material Transition Model
Virtual colonoscopy is a non-invasive technique for the detection of polyps. Currently, a clean colon is required; as without cleansing the colonic wall cannot be segmented. Enhanc...
Iwo Serlie, Roel Truyen, Jasper Florie, Frits H. P...
ICIP
2010
IEEE
15 years 4 months ago
Sparse shapes prototype modeling using genetic algorithms
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...
TMI
2008
138views more  TMI 2008»
15 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...
ECCV
2002
Springer
16 years 8 months ago
Surface Extraction from Volumetric Images Using Deformable Meshes: A Comparative Study
Abstract. Deformable models are by their formulation able to solve surface extraction problem from noisy volumetric images. This is since they use image independent information, in...
Jussi Tohka
ISBI
2004
IEEE
16 years 6 months ago
Multiple-Image Computed Tomography
We have recently proposed and investigated a planar imaging method called multiple-image radiography (MIR) that concurrently produces three two-dimensional images that reveal info...
Miles N. Wernick, Jovan G. Brankov, Dean Chapman, ...