Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Eider B Moore"'
Autor:
Landon T Detwiler, Dan Suciu, Joshua D Franklin, Eider B Moore, Andrew V Poliakov, Eunjung S Lee, David P Corina, George A Ojemann, James F Brinkley
Publikováno v:
Frontiers in Neuroinformatics, Vol 3 (2009)
This paper addresses the need for relatively small groups of collaborating investigators to integrate distributed and heterogeneous data about the brain. Although various national efforts facilitate large-scale data sharing, these approaches are gene
Externí odkaz:
https://doaj.org/article/fd687267b5b64114a844d10035193188
Autor:
Andrew Poliakov, Kevin P. Hinshaw, Eider B Moore, James F. Brinkley, Richard F. Martin, Linda G. Shapiro
Publikováno v:
NeuroImage. 16(2)
We describe a knowledge-based approach to cortical surface segmentation that uses learned knowledge of the overall shape and range of variation of the cortex (excluding the detailed gyri and sulci) to guide the search for the grey-CSF boundary in a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b60d5ebc131ab384bf4dfabfb1d317ae
https://pubmed.ncbi.nlm.nih.gov/12030818
https://pubmed.ncbi.nlm.nih.gov/12030818
Autor:
Eider B Moore, James F. Brinkley, Andrew Poliakov, David P. Corina, Xenia Hertzenberg, George A. Ojemann
Publikováno v:
Neuroinformatics. 5(1)
This note describes a software utility, called X-batch which addresses two pressing issues typically faced by functional magnetic resonance imaging (fMRI) neuroimaging laboratories (1) analysis automation and (2) data management. The first issue is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f5d9e2951437f6d3e1509c27688a40a
https://pubmed.ncbi.nlm.nih.gov/17426350
https://pubmed.ncbi.nlm.nih.gov/17426350
Autor:
Landon T Detwiler, Dan Suciu, Joshua D Franklin, Eider B Moore, Andrew V Poliakov, Eunjung S Lee, David P Corina, George A Ojemann, James F Brinkley
Publikováno v:
Frontiers in Neuroinformatics, Vol 3 (2009)
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics
This paper addresses the need for relatively small groups of collaborating investigators to integrate distributed and heterogeneous data about the brain. Although various national efforts facilitate large-scale data sharing, these approaches are gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::618e2b38be90d37f62dde01176047a51