(TECNUN) Ingeniería Mecánica y Materiales
Departamento académico
University College London
Londres, Reino UnidoUniversity College London-ko ikertzaileekin lankidetzan egindako argitalpenak (9)
2024
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Understanding the influence of surgical parameters on craniofacial surgery outcomes: a computational study
Royal Society Open Science, Vol. 11, Núm. 4
2023
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Towards a radiation free numerical modelling framework to predict spring assisted correction of scaphocephaly
Computer Methods in Biomechanics and Biomedical Engineering
2022
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Mechanical and morphological properties of parietal bone in patients with sagittal craniosynostosis
Journal of the Mechanical Behavior of Biomedical Materials, Vol. 125
2021
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Statistical shape modelling for the analysis of head shape variations
Journal of Cranio-Maxillofacial Surgery, Vol. 49, Núm. 6, pp. 449-455
2020
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The science behind the springs: Using biomechanics and finite element modeling to predict outcomes in spring-assisted sagittal synostosis surgery
Journal of Craniofacial Surgery, Vol. 31, Núm. 7, pp. 2074-2078
2019
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Investigating the cause of late deformity following fronto-orbital remodelling for metopic synostosis using 3D CT imaging
Journal of Cranio-Maxillofacial Surgery, Vol. 47, Núm. 1, pp. 170-178
2017
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Cranial bone structure in children with sagittal craniosynostosis: Relationship with surgical outcomes
Journal of Plastic, Reconstructive and Aesthetic Surgery, Vol. 70, Núm. 11, pp. 1589-1597
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Quantifying the effect of corrective surgery for trigonocephaly: A non-invasive, non-ionizing method using three-dimensional handheld scanning and statistical shape modelling
Journal of Cranio-Maxillofacial Surgery, Vol. 45, Núm. 3, pp. 387-394
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Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty
International Journal of Computer Assisted Radiology and Surgery, Vol. 12, Núm. 10, pp. 1739-1749