Machine Learning Methods to Track Dynamic Facial Function in Facial Palsy
This project enables clinicians to have more accurate and timely information to make decisions for facial reanimation surgery, which will have drastic consequences on the quality of life for affected patients.
Authors
- Todd P. Coleman (ORCID: https://orcid.org/0000-0002-2144-2495)
- Jacqueline J. Greene (ORCID: https://orcid.org/0000-0003-4889-1052)
- Akshita A. Rao (ORCID: https://orcid.org/0000-0001-7457-8188)
Institutions
- University of California San Diego (US)
- Stanford University (US)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1109/tbme.2025.3567984
- Citations
- 3
- Primary Topic
- Facial Nerve Paralysis Treatment and Research
- Type
- article
- Field-Weighted Citation Impact
- 4.17