Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry-Reference-Cited by-同舟云学术

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Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry

Published:2023-10 Issue: Volume:240 Page:107689
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Elkhill Connor^ORCID,Liu Jiawei^ORCID,Linguraru Marius George,LeBeau Scott,Khechoyan David,French Brooke^ORCID,Porras Antonio R.^ORCID

Funder

Association de Recherche sur la Polyarthrite

National Institutes of Health

National Institute of Dental and Craniofacial Research

National Center for Advancing Translational Sciences

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference63 articles.

1. 3D digital stereophotogrammetry: a practical guide to facial image acquisition;Heike;Head Face Med.,2010

2. Quantification of head shape from three-dimensional photography for presurgical and postsurgical evaluation of craniosynostosis;Porras;Plast. Reconstr. Surg.,2019

3. Updated guideline on treatment and management of craniosynostosis;Mathijssen;J. Craniofac. Surg.,2021

4. The whitaker classification of craniosynostosis outcomes: an assessment of interrater reliability;Wes;Plast. Reconstr. Surg.,2017

5. Intracranial volume and head circumference in children with unoperated syndromic craniosynostosis;William. F. Breakey;Plast. Reconstr. Surg.,1963

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Latent disentanglement in mesh variational autoencoders improves the diagnosis of craniofacial syndromes and aids surgical planning;Computer Methods and Programs in Biomedicine;2024-11

2. SHAPE: A visual computing pipeline for interactive landmarking of 3D photograms and patient reporting for assessing craniosynostosis;Computers & Graphics;2024-09

3. Increasing Robustness of Intracortical Brain-Computer Interfaces for Recording Condition Changes via Data Augmentation;Computer Methods and Programs in Biomedicine;2024-06

4. Quantifying dysmorphologies of the neurocranium using artificial neural networks;Journal of Anatomy;2024-05-17

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