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ECCV
2006
Springer
14 years 9 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...
ICASSP
2010
IEEE
13 years 5 months ago
Phase correction and denoising for ICA of complex FMRI data
Analysis of functional magnetic resonance imaging (fMRI) data in its native, complex form has been shown to increase the sensitivity of the analysis both for data driven technique...
Pedro Rodriguez, Tülay Adali, Hualiang Li, Ni...
CVPR
2008
IEEE
14 years 9 months ago
Edge preserving spatially varying mixtures for image segmentation
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 7 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
ISBI
2006
IEEE
14 years 8 months ago
Image reconstruction strategies using dual modality MRI-NIR data
An imaging system which simultaneously performs near infrared (NIR) tomography and magnetic resonance imaging (MRI) has been developed at Dartmouth College, to study breast tissue...
Hamid Dehghani, Brian W. Pogue, Ben Brooksby, Subh...