Brain morphometry/External Links: Difference between revisions
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imported>Daniel Mietchen (+subpages) |
imported>Daniel Mietchen (+two neuroimaging databases) |
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*[http://www2.imm.dtu.dk/~fn/bib/Nielsen2001BibSegmentation/Nielsen2001BibSegmentation.html Bibliography of Segmentation in Neuroimaging] | |||
*[http://sve.loni.ucla.edu/ Segmentation Validation Engine] - an online tool allowing to [[benchmark]] brain [[image segmentation|segmentation]] techniques, developed and described by [[CZ:Ref:Shattuck 2009 Online resource for validation of brain segmentation methods|Shattuck et al., 2009]]. | |||
*[http://www.nbirn.net/research/morphometry/index.shtm Brain morphometry homepage] at the [http://www.nbirn.net/ Biomedical Informatics Research Network (BIRN)] | |||
*[http://www.na-mic.org/ National Alliance for Medical Image Computing] | |||
*[http://adni-info.org/ Alzheimer’s Disease Neuroimaging Initiative] | |||
:[[Neuroimaging]] [[database]] with structural, functional, behavioural and biochemical data from 200 [[Alzheimer's disease|Alzheimer]] patients, 400 patients with [[mild cognitive impairment]] and 200 elderly controls. | |||
*[http://fantail.doc.ic.ac.uk/ IXI brain database] | |||
:[[Neuroimaging]] [[database]] of 550 subjects aged between 20 and 80 years. | |||
Latest revision as of 05:45, 1 July 2009
- Please sort and annotate in a user-friendly manner and consider archiving the URLs behind the links you provide. See also related web sources.
- Bibliography of Segmentation in Neuroimaging
- Segmentation Validation Engine - an online tool allowing to benchmark brain segmentation techniques, developed and described by Shattuck et al., 2009.
- Brain morphometry homepage at the Biomedical Informatics Research Network (BIRN)
- National Alliance for Medical Image Computing
- Alzheimer’s Disease Neuroimaging Initiative
- Neuroimaging database with structural, functional, behavioural and biochemical data from 200 Alzheimer patients, 400 patients with mild cognitive impairment and 200 elderly controls.
- Neuroimaging database of 550 subjects aged between 20 and 80 years.