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TMI
2008
138views more  TMI 2008»
13 years 7 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...
TMI
2008
149views more  TMI 2008»
13 years 7 months ago
Shape-Driven Three-Dimensional Watersnake Segmentation of Biological Membranes in Electron Tomography
Abstract--Due to the significant complexity of membrane morphology and the generally poor image quality in electron tomographic volumes, current automatic methods for segmentation ...
Hieu Tat Nguyen, Qiang Ji
ISBI
2004
IEEE
14 years 8 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl
ICPR
2008
IEEE
14 years 8 months ago
An approach for dynamic combination of region and boundary information in segmentation
Image segmentation combining boundary and region information has been the subject of numerous research works in the past. This combination is usually subject to arbitrary weightin...
Djemel Ziou, Mohand Saïd Allili
ISBI
2007
IEEE
14 years 1 months ago
Multiscale Intensity Estimation for Multi-Photon Microscopy
Multi-photon laser scanning microscopy is a cutting-edge tool for high-resolution imaging of living tissue and organisms used to study biological processes such as cellular dynami...
Rebecca Willett