Deep operator network models for predicting post-burn contraction
These findings suggest that deep operator networks can effectively serve as a surrogate for traditional finite element methods in simulating post-burn wound evolution, with potential applications in medical treatment planning.
Authors
- F.J. Vermolen (ORCID: https://orcid.org/0000-0003-2212-1711)
- Ginger Egberts (ORCID: https://orcid.org/0000-0003-3601-6496)
- Alexander Heinlein (ORCID: https://orcid.org/0000-0003-1578-8104)
- Selma Husanovic
Institutions
- Hasselt University (BE)
- Delft University of Technology (NL)
Publication Details
- Journal
- Clinical Biomechanics
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1016/j.clinbiomech.2025.106558
- Citations
- 2
- Primary Topic
- Wound Healing and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.05
Funders
- Nederlandse Brandwonden Stichting
- Delft Research Centres