| pubmed-article:18842559 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:18842559 | lifeskim:mentions | umls-concept:C0441635 | lld:lifeskim |
| pubmed-article:18842559 | lifeskim:mentions | umls-concept:C0221198 | lld:lifeskim |
| pubmed-article:18842559 | lifeskim:mentions | umls-concept:C0205554 | lld:lifeskim |
| pubmed-article:18842559 | lifeskim:mentions | umls-concept:C2603343 | lld:lifeskim |
| pubmed-article:18842559 | pubmed:issue | 2 | lld:pubmed |
| pubmed-article:18842559 | pubmed:dateCreated | 2008-12-19 | lld:pubmed |
| pubmed-article:18842559 | pubmed:abstractText | Automatic brain-lesion segmentation has the potential to greatly expand the analysis of the relationships between brain function and lesion locations in large-scale epidemiologic studies, such as the ACCORD-MIND study. In this manuscript we describe the design and evaluation of a Bayesian lesion-segmentation method, with the expectation that our approach would segment white-matter brain lesions in MR images without user intervention. | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:language | eng | lld:pubmed |
| pubmed-article:18842559 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18842559 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:18842559 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:18842559 | pubmed:issn | 1896-1126 | lld:pubmed |
| pubmed-article:18842559 | pubmed:author | pubmed-author:YanoNN | lld:pubmed |
| pubmed-article:18842559 | pubmed:author | pubmed-author:BryanR NRN | lld:pubmed |
| pubmed-article:18842559 | pubmed:author | pubmed-author:HerskovitsE... | lld:pubmed |
| pubmed-article:18842559 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:18842559 | pubmed:volume | 53 | lld:pubmed |
| pubmed-article:18842559 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:18842559 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:18842559 | pubmed:pagination | 182-90 | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:meshHeading | pubmed-meshheading:18842559... | lld:pubmed |
| pubmed-article:18842559 | pubmed:year | 2008 | lld:pubmed |
| pubmed-article:18842559 | pubmed:articleTitle | Automated Bayesian segmentation of microvascular white-matter lesions in the ACCORD-MIND study. | lld:pubmed |
| pubmed-article:18842559 | pubmed:affiliation | Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA. ehh@ieee.org | lld:pubmed |
| pubmed-article:18842559 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:18842559 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
| pubmed-article:18842559 | pubmed:publicationType | Evaluation Studies | lld:pubmed |
| pubmed-article:18842559 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
