View in EDS HTML Full Text PDF Full Text

Quantifying dysmorphologies of the neurocranium using artificial neural networks.

Saved in:
Bibliographic Details
Title: Quantifying dysmorphologies of the neurocranium using artificial neural networks.
Authors: Abdel-Alim T; Department of Neurosurgery, Erasmus Medical Center, Rotterdam, The Netherlands.; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands., Tapia Chaca F; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands., Mathijssen IMJ; Department of Plastic and Reconstructive Surgery, Erasmus Medical Center, Rotterdam, The Netherlands., Dirven CMF; Department of Neurosurgery, Erasmus Medical Center, Rotterdam, The Netherlands., Niessen WJ; Faculty of Medical Sciences, University of Groningen, Groningen, The Netherlands., Wolvius EB; Department of Oral- and Maxillofacial Surgery, Erasmus Medical Center, Rotterdam, The Netherlands., van Veelen MC; Department of Neurosurgery, Erasmus Medical Center, Rotterdam, The Netherlands., Roshchupkin GV; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Source: Journal of anatomy [J Anat] 2024 Dec; Vol. 245 (6), pp. 903-913. Date of Electronic Publication: 2024 May 17.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Blackwell Publishing Country of Publication: England NLM ID: 0137162 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-7580 (Electronic) Linking ISSN: 00218782 NLM ISO Abbreviation: J Anat Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 38760946
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantifying dysmorphologies of the neurocranium using artificial neural networks.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Abdel-Alim+T%22">Abdel-Alim T</searchLink>; Department of Neurosurgery, Erasmus Medical Center, Rotterdam, The Netherlands.; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Tapia+Chaca+F%22">Tapia Chaca F</searchLink>; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Mathijssen+IMJ%22">Mathijssen IMJ</searchLink>; Department of Plastic and Reconstructive Surgery, Erasmus Medical Center, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Dirven+CMF%22">Dirven CMF</searchLink>; Department of Neurosurgery, Erasmus Medical Center, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Niessen+WJ%22">Niessen WJ</searchLink>; Faculty of Medical Sciences, University of Groningen, Groningen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Wolvius+EB%22">Wolvius EB</searchLink>; Department of Oral- and Maxillofacial Surgery, Erasmus Medical Center, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Veelen+MC%22">van Veelen MC</searchLink>; Department of Neurosurgery, Erasmus Medical Center, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Roshchupkin+GV%22">Roshchupkin GV</searchLink>; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220137162%22">Journal of anatomy</searchLink> [J Anat] 2024 Dec; Vol. 245 (6), pp. 903-913. <i>Date of Electronic Publication: </i>2024 May 17.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Blackwell+Publishing%22">Blackwell Publishing </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0137162 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1469-7580 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200218782%22">00218782 </searchLink><i>NLM ISO Abbreviation: </i>J Anat <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38760946
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/joa.14061
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 903
    Titles:
      – TitleFull: Quantifying dysmorphologies of the neurocranium using artificial neural networks.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Abdel-Alim T
      – PersonEntity:
          Name:
            NameFull: Tapia Chaca F
      – PersonEntity:
          Name:
            NameFull: Mathijssen IMJ
      – PersonEntity:
          Name:
            NameFull: Dirven CMF
      – PersonEntity:
          Name:
            NameFull: Niessen WJ
      – PersonEntity:
          Name:
            NameFull: Wolvius EB
      – PersonEntity:
          Name:
            NameFull: van Veelen MC
      – PersonEntity:
          Name:
            NameFull: Roshchupkin GV
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: 2024 Dec
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1469-7580
          Numbering:
            – Type: volume
              Value: 245
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Journal of anatomy
              Type: main
ResultId 1