A validation framework for probabilistic maps using Heschl's gyrus as a model
A validation framework for probabilistic maps using Heschl's gyrus as a model
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United States: Elsevier Inc
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English
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United States: Elsevier Inc
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Contents
Probabilistic maps are useful in functional neuroimaging research for anatomical labeling and for data analysis. The degree to which a probability map can accurately estimate the location of a structure of interest in a new individual depends on many factors, including variability in the morphology of the structure of interest over subjects, the re...
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Full title
A validation framework for probabilistic maps using Heschl's gyrus as a model
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TN_cdi_swepub_primary_oai_DiVA_org_liu_78204
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_liu_78204
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ISSN
1053-8119,1095-9572
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2009.12.074
