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

Other organizations:


Ministry reporting: Yes

Reporting Year: 2017

JUFO rating: 1


Last updated on 2021-22-02 at 15:22