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» Distributed Processing of Large BioMedical 3D Images
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IPMI
2007
Springer
15 years 10 months ago
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support
Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
ICIP
2002
IEEE
15 years 11 months ago
Multiresolution 3D mesh compression
In this paper, we propose an efficient low complexity compression scheme for densely sampled irregular 3D meshes. This scheme is based on 3D multiresolution analysis (3D Discrete ...
Frédéric Payan, Marc Antonini
ICIP
2005
IEEE
15 years 11 months ago
Predictive compression of dynamic 3D meshes
An efficient algorithm for compression of dynamic time-consistent 3D meshes is presented. Such a sequence of meshes contains a large degree of temporal statistical dependencies tha...
Aljoscha Smolic, Karsten Müller, Matthias Kau...
ISBI
2008
IEEE
15 years 10 months ago
Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
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ICIP
2003
IEEE
15 years 11 months ago
VISIRE: photorealistic 3D reconstruction from video sequences
Traditionally, building 3D reconstructions of large scenarios such as a museum or historical site has been costly, time consuming and required the contribution of expert personnel...
Tomás Rodríguez, Peter F. Sturm, Mar...