Connor Elkhill
Orcid: 0000-0001-8753-9575
According to our database1,
Connor Elkhill authored at least 8 papers
between 2022 and 2026.
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Bibliography
2026
A Temporally Aware Transformer Model for Predicting Personalized Head Growth and Surgical Outcomes in Craniosynostosis.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
Population-Driven Synthesis of Personalized Cranial Development From Cross-Sectional Pediatric CT Images.
IEEE Trans. Biomed. Eng., September, 2025
A generative model with domain adversarial training and independent conditional discriminators to predict the development of craniosynostosis.
Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025
2024
SHAPE: A visual computing pipeline for interactive landmarking of 3D photograms and patient reporting for assessing craniosynostosis.
Comput. Graph., 2024
Personalized Phenotype Encoding and Prediction of Pathological Head Development from Cross-Sectional Images.
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024
Mesh Registration via Geometric Feature Homogenization and Offset Cross-Attention: Application to 3D Photogrammetry.
Proceedings of the Graphs in Biomedical Image Analysis - 6th International Workshop, 2024
2023
Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry.
Comput. Methods Programs Biomed., October, 2023
2022
Graph Convolutional Network with Probabilistic Spatial Regression: Application to Craniofacial Landmark Detection from 3D Photogrammetry.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022