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Content–based fMRI Brain Maps Retrieval
Publicatietype: In collectie
Citatie: GLA2016
Boektitel: International Conference on Brain Informatics & Health (BIH)
Jaar: 2016
Uitgever: Springer LNCS/LNAI
Samenvatting: The statistical analysis of functional magnetic resonance imaging (fMRI) is used to extract functional data of cerebral activation during a given experimental task. It allows for assessing changes in cerebral function related to cerebral activities. This methodology has been widely used and a few initiatives aim to develop shared data resources. Searching these data resources for a specific research goal remains a challenging problem. In particular, work is needed to create a global content–based (CB) fMRI retrieval capability. This work presents a CB fMRI retrieval approach based on the brain activation maps extracted using Probabilistic Independent Component Analysis (PICA). We obtained promising results on data from a variety of experiments which highlight the potential of the system as a tool that provides support for finding hidden similarities between brain activation maps.
Trefwoorden: brain activation map, fMRI retrieval, PICA
Auteurs García Seco de Herrera, Alba
Long, L. Rodney
Antani, Sameer
Toegevoegd door: []
Totaalscore: 0
Bestanden
  • BIH2016.pdf
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