A combined machine learning and finite element modelling tool for the surgical planning of craniosynostosis correction.
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| Title: | A combined machine learning and finite element modelling tool for the surgical planning of craniosynostosis correction. |
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| Authors: | Antúnez Sáenz I; Great Ormond Street Institute of Child Health, London, United Kingdom.; Biomedical Engineering Department, Mondragon Unibertsitatea, Loramendi Kalea, Arrasate, Spain., Alberdi Aramendi A; Biomedical Engineering Department, Mondragon Unibertsitatea, Loramendi Kalea, Arrasate, Spain., Dunaway D; Great Ormond Street Institute of Child Health, London, United Kingdom.; Great Ormond Street Hospital, London, United Kingdom., Ong J; Great Ormond Street Institute of Child Health, London, United Kingdom.; Great Ormond Street Hospital, London, United Kingdom., Deliège L; Great Ormond Street Institute of Child Health, London, United Kingdom., Sáenz A; Great Ormond Street Institute of Child Health, London, United Kingdom., Ahmadi Birjandi A; Great Ormond Street Institute of Child Health, London, United Kingdom., Jeelani NUO; Great Ormond Street Institute of Child Health, London, United Kingdom.; Great Ormond Street Hospital, London, United Kingdom., Schievano S; Great Ormond Street Institute of Child Health, London, United Kingdom.; Great Ormond Street Hospital, London, United Kingdom., Borghi A; Great Ormond Street Institute of Child Health, London, United Kingdom.; Department of Engineering, Durham University, Durham, United Kingdom. |
| Source: | PloS one [PLoS One] 2025 Dec 05; Vol. 20 (12), pp. e0336473. Date of Electronic Publication: 2025 Dec 05 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0336473 |
