| Data-driven normative reference of pediatric cranial bone development J Liu, C Elkhill, S LeBeau, B French, N Lepore, MG Linguraru, AR Porras Plastic and Reconstructive Surgery–Global Open 10 (8), e4457, 2022 | 6 | 2022 |
| Learning with context encoding for single-stage cranial bone labeling and landmark localization J Liu, F Xing, A Shaikh, MG Linguraru, AR Porras International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry C Elkhill, J Liu, MG Linguraru, S LeBeau, D Khechoyan, B French, ... Computer Methods and Programs in Biomedicine 240, 107689, 2023 | 4 | 2023 |
| Joint cranial bone labeling and landmark detection in pediatric CT images using context encoding J Liu, F Xing, A Shaikh, B French, MG Linguraru, AR Porras IEEE Transactions on Medical Imaging, 2023 | 2 | 2023 |
| Cranial bone thickness and density anomalies quantified from CT images can identify chronic increased intracranial pressure J Liu, J Chaij, MG Linguraru, B French, R Keating, AL Alexander, ... Neuroradiology, 1-12, 2024 | | 2024 |
| Data-driven cranial suture growth model enables predicting phenotypes of craniosynostosis J Liu, JH Froelicher, B French, MG Linguraru, AR Porras Scientific reports 13 (1), 20557, 2023 | | 2023 |
| 315 Non-invasive and quantitative surgical outcome evaluation of patients with sagittal craniosynostosis undergoing sagittal craniectomy C Elkhill, J Liu, MG Linguraru, S LeBeau, D Khechoyan, B French, ... Journal of Clinical and Translational Science 7 (s1), 94-95, 2023 | | 2023 |
