Latent disentanglement in mesh variational autoencoders improves the diagnosis of craniofacial syndromes and aids surgical planning
This work opens new avenues to advance diagnosis, aids surgical planning and allows for the objective evaluation of surgical outcomes. Our code is available at github.com/simofoti/CraniofacialSD-VAE.
Authors
- Matthew J. Clarkson (ORCID: https://orcid.org/0000-0002-5565-1252)
- Silvia Schievano (ORCID: https://orcid.org/0000-0003-2037-5339)
- Lara S. van de Lande (ORCID: https://orcid.org/0000-0003-2482-199X)
- David Dunaway (ORCID: https://orcid.org/0000-0001-5063-9943)
- Eimear O’ Sullivan (ORCID: https://orcid.org/0000-0003-0525-3341)
- Αθανάσιος Παπαϊωάννου (ORCID: https://orcid.org/0000-0003-4546-1663)
- Alexander Rickart (ORCID: https://orcid.org/0000-0002-9779-9503)
- Owase Jeelani (ORCID: https://orcid.org/0000-0002-3240-681X)
- Bong-Jin Koo (ORCID: https://orcid.org/0000-0002-3611-4988)
- Danail Stoyanov (ORCID: https://orcid.org/0000-0002-0980-3227)
- Simone Foti
- Roman Hossein Khonsari (ORCID: https://orcid.org/0000-0002-0649-1432)
Institutions
- Great Ormond Street Hospital (GB)
- Erasmus MC (NL)
- Institut Necker Enfants Malades (FR)
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences (GB)
- University College London (GB)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2024-08-26
- DOI
- https://doi.org/10.1016/j.cmpb.2024.108395
- Citations
- 7
- Primary Topic
- Forensic Anthropology and Bioarchaeology Studies
- Type
- article
- Field-Weighted Citation Impact
- 20.47
Funders
- Wellcome Trust
- Great Ormond Street Hospital Charity
- Engineering and Physical Sciences Research Council
- NIHR Great Ormond Street Hospital Biomedical Research Centre
- H2020 European Research Council