pubmed-article:15955494 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:15955494 | lifeskim:mentions | umls-concept:C0441635 | lld:lifeskim |
pubmed-article:15955494 | lifeskim:mentions | umls-concept:C1548174 | lld:lifeskim |
pubmed-article:15955494 | lifeskim:mentions | umls-concept:C1706076 | lld:lifeskim |
pubmed-article:15955494 | pubmed:issue | 3 | lld:pubmed |
pubmed-article:15955494 | pubmed:dateCreated | 2005-6-15 | lld:pubmed |
pubmed-article:15955494 | pubmed:abstractText | A probabilistic framework is presented that enables image registration, tissue classification, and bias correction to be combined within the same generative model. A derivation of a log-likelihood objective function for the unified model is provided. The model is based on a mixture of Gaussians and is extended to incorporate a smooth intensity variation and nonlinear registration with tissue probability maps. A strategy for optimising the model parameters is described, along with the requisite partial derivatives of the objective function. | lld:pubmed |
pubmed-article:15955494 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:15955494 | pubmed:language | eng | lld:pubmed |
pubmed-article:15955494 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:15955494 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:15955494 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:15955494 | pubmed:month | Jul | lld:pubmed |
pubmed-article:15955494 | pubmed:issn | 1053-8119 | lld:pubmed |
pubmed-article:15955494 | pubmed:author | pubmed-author:FristonKarl... | lld:pubmed |
pubmed-article:15955494 | pubmed:author | pubmed-author:AshburnerJohn... | lld:pubmed |
pubmed-article:15955494 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:15955494 | pubmed:day | 1 | lld:pubmed |
pubmed-article:15955494 | pubmed:volume | 26 | lld:pubmed |
pubmed-article:15955494 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:15955494 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:15955494 | pubmed:pagination | 839-51 | lld:pubmed |
pubmed-article:15955494 | pubmed:dateRevised | 2007-8-13 | lld:pubmed |
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pubmed-article:15955494 | pubmed:meshHeading | pubmed-meshheading:15955494... | lld:pubmed |
pubmed-article:15955494 | pubmed:year | 2005 | lld:pubmed |
pubmed-article:15955494 | pubmed:articleTitle | Unified segmentation. | lld:pubmed |
pubmed-article:15955494 | pubmed:affiliation | Wellcome Department of Imaging Neuroscience, 12 Queen Square, London, WC1N 3BG, UK. john@fil.ion.ucl.ac.uk | lld:pubmed |
pubmed-article:15955494 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:15955494 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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