Matches in SemOpenAlex for { <https://semopenalex.org/work/W2293669805> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2293669805 abstract "This paper presents a prediction framework of brain subcortical structures which are invisible on clinical low-field MRI, learning detailed information from ultrahigh-field MR training data. Volumetric segmentation of Deep Brain Stimulation (DBS) structures within the Basal ganglia is a prerequisite process for reliable DBS surgery. While ultrahigh-field MR imaging (7 Tesla) allows direct visualization of DBS targeting structures, such ultrahigh-fields are not always clinically available, and therefore the relevant structures need to be predicted from the clinical data. We address the shape prediction problem with a regression forest, non-linearly mapping predictors to target structures with high confidence, exploiting ultrahigh-field MR training data. We consider an application for the subthalamic nucleus (STN) prediction as a crucial DBS target. Experimental results on Parkinson's patients validate that the proposed approach enables reliable estimation of the STN from clinical 1.5T MRI." @default.
- W2293669805 created "2016-06-24" @default.
- W2293669805 creator A5002869837 @default.
- W2293669805 creator A5009084296 @default.
- W2293669805 creator A5025218580 @default.
- W2293669805 creator A5043486744 @default.
- W2293669805 creator A5047447270 @default.
- W2293669805 date "2015-09-01" @default.
- W2293669805 modified "2023-09-27" @default.
- W2293669805 title "Clinical deep brain stimulation region prediction using regression forests from high-field MRI" @default.
- W2293669805 cites W106412581 @default.
- W2293669805 cites W1524698129 @default.
- W2293669805 cites W1558236763 @default.
- W2293669805 cites W1975567433 @default.
- W2293669805 cites W1976531712 @default.
- W2293669805 cites W1983083967 @default.
- W2293669805 cites W1990399579 @default.
- W2293669805 cites W1999643077 @default.
- W2293669805 cites W2012155201 @default.
- W2293669805 cites W2018068669 @default.
- W2293669805 cites W2038952578 @default.
- W2293669805 cites W2040962220 @default.
- W2293669805 cites W2047461048 @default.
- W2293669805 cites W2055576639 @default.
- W2293669805 cites W2064942839 @default.
- W2293669805 cites W2065698093 @default.
- W2293669805 cites W2128692650 @default.
- W2293669805 cites W2136145485 @default.
- W2293669805 cites W2911964244 @default.
- W2293669805 doi "https://doi.org/10.1109/icip.2015.7351248" @default.
- W2293669805 hasPublicationYear "2015" @default.
- W2293669805 type Work @default.
- W2293669805 sameAs 2293669805 @default.
- W2293669805 citedByCount "2" @default.
- W2293669805 countsByYear W22936698052018 @default.
- W2293669805 countsByYear W22936698052022 @default.
- W2293669805 crossrefType "proceedings-article" @default.
- W2293669805 hasAuthorship W2293669805A5002869837 @default.
- W2293669805 hasAuthorship W2293669805A5009084296 @default.
- W2293669805 hasAuthorship W2293669805A5025218580 @default.
- W2293669805 hasAuthorship W2293669805A5043486744 @default.
- W2293669805 hasAuthorship W2293669805A5047447270 @default.
- W2293669805 hasConcept C105795698 @default.
- W2293669805 hasConcept C119857082 @default.
- W2293669805 hasConcept C142724271 @default.
- W2293669805 hasConcept C153180895 @default.
- W2293669805 hasConcept C154945302 @default.
- W2293669805 hasConcept C202444582 @default.
- W2293669805 hasConcept C2777319143 @default.
- W2293669805 hasConcept C2778542668 @default.
- W2293669805 hasConcept C2779134260 @default.
- W2293669805 hasConcept C2779734285 @default.
- W2293669805 hasConcept C33923547 @default.
- W2293669805 hasConcept C41008148 @default.
- W2293669805 hasConcept C71924100 @default.
- W2293669805 hasConcept C83546350 @default.
- W2293669805 hasConcept C9652623 @default.
- W2293669805 hasConceptScore W2293669805C105795698 @default.
- W2293669805 hasConceptScore W2293669805C119857082 @default.
- W2293669805 hasConceptScore W2293669805C142724271 @default.
- W2293669805 hasConceptScore W2293669805C153180895 @default.
- W2293669805 hasConceptScore W2293669805C154945302 @default.
- W2293669805 hasConceptScore W2293669805C202444582 @default.
- W2293669805 hasConceptScore W2293669805C2777319143 @default.
- W2293669805 hasConceptScore W2293669805C2778542668 @default.
- W2293669805 hasConceptScore W2293669805C2779134260 @default.
- W2293669805 hasConceptScore W2293669805C2779734285 @default.
- W2293669805 hasConceptScore W2293669805C33923547 @default.
- W2293669805 hasConceptScore W2293669805C41008148 @default.
- W2293669805 hasConceptScore W2293669805C71924100 @default.
- W2293669805 hasConceptScore W2293669805C83546350 @default.
- W2293669805 hasConceptScore W2293669805C9652623 @default.
- W2293669805 hasLocation W22936698051 @default.
- W2293669805 hasOpenAccess W2293669805 @default.
- W2293669805 hasPrimaryLocation W22936698051 @default.
- W2293669805 hasRelatedWork W1485553603 @default.
- W2293669805 hasRelatedWork W185374922 @default.
- W2293669805 hasRelatedWork W2013801840 @default.
- W2293669805 hasRelatedWork W2018068669 @default.
- W2293669805 hasRelatedWork W2042306781 @default.
- W2293669805 hasRelatedWork W2061165853 @default.
- W2293669805 hasRelatedWork W2131941172 @default.
- W2293669805 hasRelatedWork W2143548123 @default.
- W2293669805 hasRelatedWork W2192321822 @default.
- W2293669805 hasRelatedWork W2325529241 @default.
- W2293669805 hasRelatedWork W2743511010 @default.
- W2293669805 hasRelatedWork W2746226203 @default.
- W2293669805 hasRelatedWork W2894646124 @default.
- W2293669805 hasRelatedWork W2901968468 @default.
- W2293669805 hasRelatedWork W3002847851 @default.
- W2293669805 hasRelatedWork W3030096561 @default.
- W2293669805 hasRelatedWork W3137942021 @default.
- W2293669805 hasRelatedWork W3151841366 @default.
- W2293669805 hasRelatedWork W3183855066 @default.
- W2293669805 hasRelatedWork W778868993 @default.
- W2293669805 isParatext "false" @default.
- W2293669805 isRetracted "false" @default.
- W2293669805 magId "2293669805" @default.
- W2293669805 workType "article" @default.