A4 Article in conference proceedings
Applying fully tensorial ICA to fMRI data (2016)
Virta, J., Taskinen, S., & Nordhausen, K. (2016). Applying fully tensorial ICA to fMRI data. In Proceedings of 2016 IEEE Signal Processing in Medicine and Biology Symposium (pp. 1-6). Institute of Electrical and Electronics Engineers. doi:10.1109/SPMB.2016.7846858
JYU authors or editors
Publication details
All authors or editors: Virta, Joni; Taskinen, Sara; Nordhausen, Klaus
Parent publication: Proceedings of 2016 IEEE Signal Processing in Medicine and Biology Symposium
ISBN: 978-1-5090-6713-8
Publication year: 2016
Pages range: 1-6
Publisher: Institute of Electrical and Electronics Engineers
Publication country: United States
Publication language: English
DOI: https://doi.org/10.1109/SPMB.2016.7846858
Open Access: Publication channel is not openly available
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/53586
Additional information: Signal Processing in Medicine and Biology Symposium (SPMB), 2016 IEEE, 3 Dec. 2016, Science Education and Research Center, Temple University, Philadelphia, Pennsylvania, 19122, USA
Keywords: data
Free keywords: functional magnetic resonance imaging data; fMRI
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2017
JUFO rating: 1