Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890866088> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2890866088 abstract "We present a fully-automated segmentation and quantification of the left atrial (LA) fibrosis and scars combining two cardiac MRIs, one is the target late gadolinium-enhanced (LGE) image, and the other is an anatomical MRI from the same acquisition session. We formulate the joint distribution of images using a multivariate mixture model (MvMM), and employ the maximum likelihood estimator (MLE) for texture classification of the images simultaneously. The MvMM can also embed transformations assigned to the images to correct the misregistration. The iterated conditional mode algorithm is adopted for optimization. This method first extracts the anatomical shape of the LA, and then estimates a prior probability map. It projects the resulting segmentation onto the LA surface, for quantification and analysis of scarring. We applied the proposed method to 36 clinical data sets and obtained promising results (Accuracy: $0.809pm .150$, Dice: $0.556pm.187$). We compared the method with the conventional algorithms and showed an evidently and statistically better performance ($p<0.03$)." @default.
- W2890866088 created "2018-09-27" @default.
- W2890866088 creator A5011066171 @default.
- W2890866088 creator A5011662977 @default.
- W2890866088 creator A5018511955 @default.
- W2890866088 creator A5030128468 @default.
- W2890866088 creator A5052451660 @default.
- W2890866088 creator A5056235786 @default.
- W2890866088 creator A5060832437 @default.
- W2890866088 creator A5062702770 @default.
- W2890866088 creator A5075889094 @default.
- W2890866088 date "2018-10-22" @default.
- W2890866088 modified "2023-09-27" @default.
- W2890866088 title "Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images" @default.
- W2890866088 cites W2003590746 @default.
- W2890866088 cites W2039094376 @default.
- W2890866088 cites W2046289434 @default.
- W2890866088 cites W2057691469 @default.
- W2890866088 cites W2103155691 @default.
- W2890866088 cites W2105687765 @default.
- W2890866088 cites W2105894476 @default.
- W2890866088 cites W2113576511 @default.
- W2890866088 cites W2291593693 @default.
- W2890866088 cites W2753489975 @default.
- W2890866088 doi "https://doi.org/10.48550/arxiv.1810.09075" @default.
- W2890866088 hasPublicationYear "2018" @default.
- W2890866088 type Work @default.
- W2890866088 sameAs 2890866088 @default.
- W2890866088 citedByCount "0" @default.
- W2890866088 crossrefType "posted-content" @default.
- W2890866088 hasAuthorship W2890866088A5011066171 @default.
- W2890866088 hasAuthorship W2890866088A5011662977 @default.
- W2890866088 hasAuthorship W2890866088A5018511955 @default.
- W2890866088 hasAuthorship W2890866088A5030128468 @default.
- W2890866088 hasAuthorship W2890866088A5052451660 @default.
- W2890866088 hasAuthorship W2890866088A5056235786 @default.
- W2890866088 hasAuthorship W2890866088A5060832437 @default.
- W2890866088 hasAuthorship W2890866088A5062702770 @default.
- W2890866088 hasAuthorship W2890866088A5075889094 @default.
- W2890866088 hasBestOaLocation W28908660881 @default.
- W2890866088 hasConcept C105795698 @default.
- W2890866088 hasConcept C119857082 @default.
- W2890866088 hasConcept C134306372 @default.
- W2890866088 hasConcept C140479938 @default.
- W2890866088 hasConcept C142724271 @default.
- W2890866088 hasConcept C153180895 @default.
- W2890866088 hasConcept C154945302 @default.
- W2890866088 hasConcept C161584116 @default.
- W2890866088 hasConcept C177384507 @default.
- W2890866088 hasConcept C185429906 @default.
- W2890866088 hasConcept C2777642821 @default.
- W2890866088 hasConcept C31972630 @default.
- W2890866088 hasConcept C33923547 @default.
- W2890866088 hasConcept C41008148 @default.
- W2890866088 hasConcept C71924100 @default.
- W2890866088 hasConcept C89600930 @default.
- W2890866088 hasConceptScore W2890866088C105795698 @default.
- W2890866088 hasConceptScore W2890866088C119857082 @default.
- W2890866088 hasConceptScore W2890866088C134306372 @default.
- W2890866088 hasConceptScore W2890866088C140479938 @default.
- W2890866088 hasConceptScore W2890866088C142724271 @default.
- W2890866088 hasConceptScore W2890866088C153180895 @default.
- W2890866088 hasConceptScore W2890866088C154945302 @default.
- W2890866088 hasConceptScore W2890866088C161584116 @default.
- W2890866088 hasConceptScore W2890866088C177384507 @default.
- W2890866088 hasConceptScore W2890866088C185429906 @default.
- W2890866088 hasConceptScore W2890866088C2777642821 @default.
- W2890866088 hasConceptScore W2890866088C31972630 @default.
- W2890866088 hasConceptScore W2890866088C33923547 @default.
- W2890866088 hasConceptScore W2890866088C41008148 @default.
- W2890866088 hasConceptScore W2890866088C71924100 @default.
- W2890866088 hasConceptScore W2890866088C89600930 @default.
- W2890866088 hasLocation W28908660881 @default.
- W2890866088 hasOpenAccess W2890866088 @default.
- W2890866088 hasPrimaryLocation W28908660881 @default.
- W2890866088 hasRelatedWork W1669643531 @default.
- W2890866088 hasRelatedWork W1982826852 @default.
- W2890866088 hasRelatedWork W2005437358 @default.
- W2890866088 hasRelatedWork W2008656436 @default.
- W2890866088 hasRelatedWork W2023558673 @default.
- W2890866088 hasRelatedWork W2110230079 @default.
- W2890866088 hasRelatedWork W2134924024 @default.
- W2890866088 hasRelatedWork W2517104666 @default.
- W2890866088 hasRelatedWork W2613186388 @default.
- W2890866088 hasRelatedWork W1967061043 @default.
- W2890866088 isParatext "false" @default.
- W2890866088 isRetracted "false" @default.
- W2890866088 magId "2890866088" @default.
- W2890866088 workType "article" @default.