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MICCAI
2005
Springer
16 years 2 months ago
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, Ne...
106
Voted
TMI
2010
123views more  TMI 2010»
14 years 8 months ago
Optimal Experimental Design for Diffusion Kurtosis Imaging
Diffusion Kurtosis Imaging (DKI) is a new magnetic resonance imaging model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI param...
Dirk H. J. Poot, Arnold Jan den Dekker, Eric Achte...
IPMI
2009
Springer
16 years 2 months ago
Bayesian Registration via Local Image Regions: Information, Selection and Marginalization
We propose a novel Bayesian registration formulation in which image location is represented as a latent random variable. Location is marginalized to determine the maximum a priori ...
Matthew Toews, William M. Wells III
138
Voted
IJCV
2008
172views more  IJCV 2008»
15 years 1 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
ECCV
2006
Springer
16 years 3 months ago
Smooth Image Segmentation by Nonparametric Bayesian Inference
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
Peter Orbanz, Joachim M. Buhmann