pubmed-article:21695053 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:21695053 | lifeskim:mentions | umls-concept:C0026769 | lld:lifeskim |
pubmed-article:21695053 | lifeskim:mentions | umls-concept:C0006104 | lld:lifeskim |
pubmed-article:21695053 | lifeskim:mentions | umls-concept:C0205146 | lld:lifeskim |
pubmed-article:21695053 | lifeskim:mentions | umls-concept:C0024485 | lld:lifeskim |
pubmed-article:21695053 | lifeskim:mentions | umls-concept:C1518918 | lld:lifeskim |
pubmed-article:21695053 | pubmed:issue | 6 | lld:pubmed |
pubmed-article:21695053 | pubmed:dateCreated | 2011-6-22 | lld:pubmed |
pubmed-article:21695053 | pubmed:abstractText | Here, we use pattern-classification to investigate diagnostic information for multiple sclerosis (MS; relapsing-remitting type) in lesioned areas, areas of normal-appearing grey matter (NAGM), and normal-appearing white matter (NAWM) as measured by standard MR techniques. | lld:pubmed |
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pubmed-article:21695053 | pubmed:language | eng | lld:pubmed |
pubmed-article:21695053 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:21695053 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:21695053 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:21695053 | pubmed:issn | 1932-6203 | lld:pubmed |
pubmed-article:21695053 | pubmed:author | pubmed-author:ZippFraukeF | lld:pubmed |
pubmed-article:21695053 | pubmed:author | pubmed-author:Bellmann-Stro... | lld:pubmed |
pubmed-article:21695053 | pubmed:author | pubmed-author:HaynesJohn-Dy... | lld:pubmed |
pubmed-article:21695053 | pubmed:author | pubmed-author:PaulFriedeman... | lld:pubmed |
pubmed-article:21695053 | pubmed:author | pubmed-author:WeygandtMarti... | lld:pubmed |
pubmed-article:21695053 | pubmed:author | pubmed-author:HackmackKerst... | lld:pubmed |
pubmed-article:21695053 | pubmed:author | pubmed-author:PfüllerCaspar... | lld:pubmed |
pubmed-article:21695053 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:21695053 | pubmed:volume | 6 | lld:pubmed |
pubmed-article:21695053 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:21695053 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:21695053 | pubmed:pagination | e21138 | lld:pubmed |
pubmed-article:21695053 | pubmed:meshHeading | pubmed-meshheading:21695053... | lld:pubmed |
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pubmed-article:21695053 | pubmed:meshHeading | pubmed-meshheading:21695053... | lld:pubmed |
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pubmed-article:21695053 | pubmed:meshHeading | pubmed-meshheading:21695053... | lld:pubmed |
pubmed-article:21695053 | pubmed:year | 2011 | lld:pubmed |
pubmed-article:21695053 | pubmed:articleTitle | MRI pattern recognition in multiple sclerosis normal-appearing brain areas. | lld:pubmed |
pubmed-article:21695053 | pubmed:affiliation | Bernstein Center for Computational Neuroscience Berlin, Charité - University Medicine, Berlin, Germany. martin.weygandt@bccn-berlin.de | lld:pubmed |
pubmed-article:21695053 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:21695053 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |