Graph Convolutional Network with Probabilistic Spatial Regression: Application to Craniofacial Landmark Detection from 3D Photogrammetry. - Connor Elkhill; Scott LeBeau; Brooke French; Antonio R. Porras (MICCAI (3), 2022)

Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry. - Connor Elkhill; Jiawei Liu; Marius George Linguraru; Scott LeBeau; David Khechoyan; Brooke French; Antonio R. Porras (Comput. Methods Programs Biomed., 2023)

Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images Using Context Encoding. - Jiawei Liu; Fuyong Xing; Abbas Shaikh; Brooke French; Marius George Linguraru; Antonio R. Porras (IEEE Trans. Medical Imaging, 2023)

Mesh Registration via Geometric Feature Homogenization and Offset Cross-Attention: Application to 3D Photogrammetry. - Ines A. Cruz-Guerrero; Connor Elkhill; Jiawei Liu; Phuong D. Nguyen; Brooke French; Antonio R. Porras (GRAIL@MICCAI, 2024)

Personalized Phenotype Encoding and Prediction of Pathological Head Development from Cross-Sectional Images. - Connor Elkhill; Ines A. Cruz-Guerrero; Jiawei Liu; Marius George Linguraru; Allyson Alexander; Brooke French; Antonio R. Porras (SIPAIM, 2024)

SHAPE: A visual computing pipeline for interactive landmarking of 3D photograms and patient reporting for assessing craniosynostosis. - Carsten Görg; Connor Elkhill; Jasmine Chaij; Kristin Royalty; Phuong D. Nguyen; Brooke French; Ines A. Cruz-Guerrero; Antonio R. Porras (Comput. Graph., 2024)