The impact of denoising on independent component analysis of functional magnetic resonance imaging data

Browse by...

Deposit

Highlights

More informations

Title		The impact of denoising on independent component analysis of functional magnetic resonance imaging data
Authors		Pignat, Jean Michel Koval, Oleksiy Van De Ville, Dimitri Voloshynovskyy, Svyatoslav Michel, Christoph Pun, Thierry
Published in		Journal of Neuroscience Methods. 2013, vol. 213, no. 1, p. 105-122
Identifiers		DOI: 10.1016/j.jneumeth.2012.10.011
Full text		Article (Published version) (2.8 MB) - Limited access to UNIGE Other version: http://linkinghub.elsevier.com/retrieve/pii/S0165027012004219
Structures		Faculté des sciences / Département d'informatique Centres et instituts / Centre universitaire d'informatique Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale Faculté de médecine / Section de médecine fondamentale / Département de neurosciences fondamentales
Research groups		Traitement d'images médicales (893) Organisation et plasticité des réseaux neuronaux cérébraux (148) Computer Vision and Multimedia Laboratory Stochastic Information Processing Group Multimodal Interaction Group
Citation (ISO format)		PIGNAT, Jean Michel et al. The impact of denoising on independent component analysis of functional magnetic resonance imaging data. In: Journal of Neuroscience Methods, 2013, vol. 213, n° 1, p. 105-122. doi: 10.1016/j.jneumeth.2012.10.011 https://archive-ouverte.unige.ch/unige:31903