The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Automatically Parcellating the Human Cerebral Cortex
Abstract
We present a technique for automatically assigning a neuroanatomical label to each location on a cortical surface model based on probabilistic information estimated from a manually labeled training set. This procedure incorporates both geometric information derived from the cortical model, and neuroanatomical convention, as found in the training set. The result is a complete labeling of cortical sulci and gyri. Examples are given from two different training sets generated using different neuroanatomical conventions, illustrating the flexibility of the algorithm. The technique is shown to be comparable in accuracy to manual labeling.
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Self-citationAutomatic 3D intersubject registration of MR volumetric data in standardized Talairach space
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“The alternative is to compile a probabilistic atlas based on the anatomy of a large number of subjects (e.g. Collins et al. , 1994; Fox et al. , 1994; Mazziotta et al. , 1995; Thompson et al. , 1997, 2000).”
BackgroundThree-dimensional statistical analysis of sulcal variability in the human brain
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Ghosh (2008) · doi:10.1044/1092-4388(2008/07-0119
Metadata
- Authors
- Fischl, B.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-01-01
- Volume
- 14
- Issue
- 1
- Pages
- 11-22
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2151130155
- Cited by
- 4,253
- References
- 3
- FWCI
- 14.57
- Type
- journal article
- Language
- en
- Open access
- closed
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