Population-Driven Synthesis of Personalized Cranial Development From Cross-Sectional Pediatric CT Images
Our method enables the personalized prediction of pediatric growth and longitudinal synthesis of clinical images, hence providing a patient-specific reference of normative development.
Authors
- Inés A. Cruz‐Guerrero (ORCID: https://orcid.org/0000-0001-8034-8530)
- Connor Elkhill (ORCID: https://orcid.org/0000-0001-8753-9575)
- Randy C. Miles (ORCID: https://orcid.org/0000-0003-1634-138X)
- Jiawei Liu (ORCID: https://orcid.org/0000-0001-9523-0252)
- Fuyong Xing (ORCID: https://orcid.org/0000-0003-0982-8675)
- Antonio R. Porras (ORCID: https://orcid.org/0000-0001-5989-2953)
- Marius George Linguraru (ORCID: https://orcid.org/0000-0001-6175-8665)
Institutions
- Colorado School of Public Health (US)
- Denver Health Medical Center (US)
- Children's Hospital Colorado (US)
- Denver Public Health (US)
- University of Colorado Anschutz Medical Campus (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1109/tbme.2025.3550842
- Primary Topic
- Craniofacial Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute of Dental and Craniofacial Research