Research
Selected publications
Liu, J., Xing, F., Shaikh, A., French, B., Linguraru, M.G., Porras, A.R., 2023. Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images using Context Encoding. IEEE Transactions on Medical Imaging (early access online).
Elkhill,C., Liu, J., Linguraru, M.G., LeBeau, S., Khechoyan, D., French, B., Porras, A.R., 2023. Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry. Computer Methods and Programs in Biomedicine 240, 107689.
Liu, J., Elkhill, C., LeBeau, S., French, B., Lepore, N., Linguraru, M.G., Porras, A.R., 2022. Data-driven normative reference of pediatric cranial bone development. Plastic and Reconstructive Surgery Global Open 10(8), e4457.
Porras, A.R., Keating, R., Lee, J., Linguraru, M.G., 2022. Predictive statistical model of early cranial development. IEEE Transactions in Biomedical Engineering 69(2), 537-546.
Porras, A.R., Rosenbaum, K., Tor-Diez, C., Summar, M., Linguraru, M.G., 2021. Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study. Lancet Digital Health 3(10), 635-e643.
The full list of publications can be found in Google Scholar
Ongoing research projects
Identification of intracranial hypertension in pediatric patients using CT images and machine learning
Funding identifier: CO-J-23-99 (parent NCATS-UM1TR004399). Funding period: 09/01/2023 - 07/31/2024.
Development of CT image-based cranial bone markers of intra-cranial hypertension
Funding identifier: R21DE031824. Funding period: 08/01/2023 - 07/31/2025.
Data-driven quantification and prediction of pre-surgical local head volume distributions and post-surgical development in patients with craniosynostosis
Funding identifier: R01DE032681. Funding period: 03/01/2023 - 02/28/2028
Early joint cranial and brain development from fetal and pediatric imaging
Funding identifier: R01DE030286. Funding period: 15/09/2020 - 05/31/2026
Quantitative characterization and predictive modeling of cranial bone development in patients with craniosynostosis
Funding identifier: R00DE027993. Funding period: 01/07/2020 - 06/30/2024