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» Maximum Likelihood Estimators in Magnetic Resonance Imaging
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MICCAI
2005
Springer
15 years 5 months ago
Characterizing Vascular Connectivity from microCT Images
Abstract. X-ray microCT (computed tomography) has become a valuable tool in the analysis of vascular architecture in small animals. Because of its high resolution, a detailed asses...
Marcel Jackowski, Xenophon Papademetris, Lawrence ...
CP
1998
Springer
15 years 3 months ago
Constraints for Object Recognition in Aerial Images - Handling of Unobserved Features
In this paper we will show how constraint solving methods can be applied for the recognition of buildings in aerial images. Object models are transformed to constraint representati...
Thomas H. Kolbe
MICCAI
2007
Springer
16 years 18 days ago
A Bayesian 3D Volume Reconstruction for Confocal Micro-rotation Cell Imaging
Abstract. Recently, micro-rotation confocal microscopy has enabled the acquisition of a sequence of slices for a non-adherent living cells where the slices' positions are roug...
Alain Trouvé, Bernard Chalmond, Yong Yu
76
Voted
ICIP
2005
IEEE
15 years 5 months ago
Bayesian blind source separation for brain imaging
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
Hicham Snoussi, Vince D. Calhoun
102
Voted
3DPVT
2004
IEEE
181views Visualization» more  3DPVT 2004»
15 years 3 months ago
Segmenting Correlation Stereo Range Images using Surface Elements
This paper describes methods for segmenting planar surfaces from noisy 3D data obtained from correlation stereo vision. We make use of local planar surface elements called patchle...
Don Murray, James J. Little