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MICCAI
2008
Springer
14 years 5 months ago
Discovering Modes of an Image Population through Mixture Modeling
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
Mert R. Sabuncu, Serdar K. Balci, Polina Golland
ISBI
2009
IEEE
13 years 11 months ago
Image-Driven Population Analysis Through Mixture Modeling
—We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of...
Mert R. Sabuncu
ICASSP
2011
IEEE
12 years 8 months ago
Modeling anatomical heterogeneity in populations
Our goal is to model anatomical variability across individuals, which presents substantial challenges in clinical population studies and in building atlases for segmentation. Base...
Polina Golland, Mert R. Sabuncu
TIT
2008
86views more  TIT 2008»
13 years 4 months ago
On the Minimum Entropy of a Mixture of Unimodal and Symmetric Distributions
Progressive encoding of a signal generally involves an estimation step, designed to reduce the entropy of the residual of an observation over the entropy of the observation itself....
Ting-Li Chen, Stuart Geman
MICCAI
2008
Springer
14 years 5 months ago
Discovering Structure in the Space of Activation Profiles in fMRI
We present a method for discovering patterns of activation observed through fMRI in experiments with multiple stimuli/tasks. We introduce an explicit parameterization for the profi...
Danial Lashkari, Ed Vul, Nancy Kanwisher, Polin...