Multiple-subjects connectivity-based parcellation using hierarchical Dirichlet process mixture models.
We propose a hierarchical infinite mixture model approach to address two issues in connectivity-based parcellations: (i) choosing the number of clusters, and (ii) combining data from different subjects. In a Bayesian setting, we model voxel-wise anatomical connectivity profiles as an infinite mixtur...
Main Authors: | Jbabdi, S, Woolrich, M, Behrens, T |
---|---|
פורמט: | Journal article |
שפה: | English |
יצא לאור: |
2009
|
פריטים דומים
-
Tractography segmentation using a hierarchical Dirichlet processes mixture model
מאת: Wang, Xiaogang, et al.
יצא לאור: (2020) -
Spatially constrained hierarchical parcellation of the brain with resting-state fMRI.
מאת: Blumensath, T, et al.
יצא לאור: (2013) -
Dynamic classification of fetal heart rates by hierarchical Dirichlet process mixture models.
מאת: Kezi Yu, et al.
יצא לאור: (2017-01-01) -
Hierarchical Dirichlet processes
מאת: Teh, Y, et al.
יצא לאור: (2006) -
Hierarchical Dirichlet Process Based Gamma Mixture Modeling for Terahertz Band Wireless Communication Channels
מאת: Erhan Karakoca, et al.
יצא לאור: (2022-01-01)