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ICASSP
2011
IEEE
12 years 10 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
TIP
2002
98views more  TIP 2002»
13 years 6 months ago
Joint-MAP Bayesian tomographic reconstruction with a gamma-mixture prior
We address the problem of Bayesian image reconstruction with a prior that captures the notion of a clustered intensity histogram. The problem is formulated in the framework of a j...
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
SCIA
2005
Springer
113views Image Analysis» more  SCIA 2005»
14 years 5 days ago
Segmentation of Medical Images Using Three-Dimensional Active Shape Models
In this paper a fully automated segmentation system for the femur in the knee in Magnetic Resonance Images and the brain in Single Photon Emission Computed Tomography images is pr...
Klas Josephson, Anders Ericsson, Johan Karlsson
TMI
2002
113views more  TMI 2002»
13 years 6 months ago
Spatiotemporal reconstruction of list mode PET data
We describe a method for computing a continuous time estimate of tracer density using list-mode positron emission tomography data. The rate function in each voxel is modeled as an ...
Thomas E. Nichols, Jinyi Qi, Evren Asma, Richard M...
ICIP
2002
IEEE
14 years 8 months ago
Fusion of X ray radiographic data and anatomical data in computed tomography
In this paper, we consider an X ray computed tomography (CT) image reconstruction problem using two different kinds of data: classical X-rays radiographic data and some geometrica...
Ali Mohammad-Djafari