Proceedings chapter
Quantification of resting-state fMRI networks driven by hemodynamically informed spatiotemporal regularization
Presented atPacific Grove (CA, USA), 28-31 October 2018
Published inMatthews, M.B. (Ed.), Conference record of the fifty-second Asilomar conference on signals, systems, and computers, p. 363-367
PublisherPiscataway, NJ : IEEE
Publication date2018
Funding
- Swiss National Science Foundation - Advanced Network Analysis to Study Brain Dynamics in Health and Disorder [163376]
- Swiss National Science Foundation - Synapsy 51NF40-158776
Citation (ISO format)
KARAHANOGLU, F. Islk et al. Quantification of resting-state fMRI networks driven by hemodynamically informed spatiotemporal regularization. In: Conference record of the fifty-second Asilomar conference on signals, systems, and computers. Matthews, M.B. (Ed.). Pacific Grove (CA, USA). Piscataway, NJ : IEEE, 2018. p. 363–367. doi: 10.1109/ACSSC.2018.8645468
Main files (1)
Proceedings chapter (Published version)
Identifiers
- PID : unige:124237
- DOI : 10.1109/ACSSC.2018.8645468
Additional URL for this publicationhttps://ieeexplore.ieee.org/document/8645468/
ISBN978-1-5386-9218-9
