Abstract
Various data summarization approaches which consist of basis transformation and dimension reduction have been commonly used for information retrieval from brain imaging data including functional magnetic resonance imaging (fMRI). However, most approaches do not include frequency variation of the temporal data in the basis transformation. Here we propose a novel approach to incorporate in-between and cross-frequency dependence for summarization of resting-state fMRI data.
Original language | English (US) |
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Title of host publication | 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 93-96 |
Number of pages | 4 |
Volume | 2018-April |
ISBN (Electronic) | 9781538665688 |
DOIs | |
State | Published - Sep 21 2018 |
Externally published | Yes |
Event | 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Las Vegas, United States Duration: Apr 8 2018 → Apr 10 2018 |
Other
Other | 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 |
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Country/Territory | United States |
City | Las Vegas |
Period | 4/8/18 → 4/10/18 |
Keywords
- Canonical correlation analysis
- Cross-freqency depenence
- Hilbert transform
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications