Image-Driven Population Analysis Through Mixture Modeling

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 the algorithm is a small number of template images that represent different modes in a population. This is in contrast with...

Full description

Bibliographic Details
Main Authors: Shenton, Martha E., Balci, Serdar K., Sabuncu, Mert R., Golland, Polina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Subjects:
segmentation
population analysis
image registration
computational anatomy
Clustering
Online Access:http://hdl.handle.net/1721.1/54723
https://orcid.org/0000-0002-5002-1227
https://orcid.org/0000-0003-2516-731X

Internet

http://hdl.handle.net/1721.1/54723
https://orcid.org/0000-0002-5002-1227
https://orcid.org/0000-0003-2516-731X

Similar Items