Quantifying dysmorphologies of the neurocranium using artificial neural networks.
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| Title: | Quantifying dysmorphologies of the neurocranium using artificial neural networks. |
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| 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 |
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