[PDF][PDF] Wavelet-based Classification Applied to fMRI
PA Morettin - researchgate.net
… We conclude that DWT-CEM may provide a powerful tool for the identification of brain areas
related in terms of their time-series behavior. Because it can accommodate phase shifts and …
related in terms of their time-series behavior. Because it can accommodate phase shifts and …
Further Topics
… In this chapter we will only present the DWT-CEM algorithm as an illustration. … of DWT and
CEM algorithm to cluster fMRI time series, resulting in the following scale-clustering algorithm. …
CEM algorithm to cluster fMRI time series, resulting in the following scale-clustering algorithm. …
[HTML][HTML] Disentangling multispectral functional connectivity with wavelets
JCW Billings, GJ Thompson, WJ Pan… - Frontiers in …, 2018 - frontiersin.org
… magnetic resonance imaging (BOLD-fMRI) fluctuations are often used … -fMRI signals, it may
be useful to represent BOLD-fMRI as … in whole-brain BOLD-fMRI connectivity as a function of …
be useful to represent BOLD-fMRI as … in whole-brain BOLD-fMRI connectivity as a function of …
Determining the number of clusters, before finding clusters, from the susceptibility of the similarity matrix
… We test the algorithm on synthetic data sets with or without a … show the effectiveness of the
proposed algorithm to identify K ∗ , … of the novel algorithm to the de-clustering of instrumental …
proposed algorithm to identify K ∗ , … of the novel algorithm to the de-clustering of instrumental …