Harvard and Erasmus MC researchers used 3dMDface system and an AI-based 3D autoencoder to identify a facial trait linked to attention problems and associated prenatal exposures in the Generation R Study cohort.
UT Southwestern and Children’s Health Dallas researchers used 3dMD imaging to compare craniofacial symmetry outcomes between strip craniectomy and fronto-orbital advancement in unicoronal craniosynostosis.
By analyzing head scans, the model accurately classified craniofacial differences in pediatric BWS patients compared with the control group.
The model outperformed existing methods in patients with craniosynostosis and normative subjects. And the predictions generated by our model could be used to improve the accuracy of surgical planning.
It contains 90k 3dMD system-captured RGB images and 13k 3dMDhand scans from 263 subjects (131 male, 132 female) with diverse skin tones and hand shapes.
Imperial College London trains its 2025 ImHead model for localized 3D head editing with 3dMD’s 4D real-world face data.
This is a cross-sectional study from an ongoing population based study from Rotterdam. Since 2010, the participants have been invited to participate in dermatological examinations that include taking 3D facial photographs with a static 3dMDtrio System (3dMD, Atlanta, USA).
Using 3dMD, we introduced a method for calculating volumetric facial disparities, improving on existing approaches and providing insights into the palsy side’s impact.
MPI-IS builds VAREN (2024), a 3D horse shape and pose model, with 3dMD’s real-world dynamic scan data.
University of Houston researcher used 3dMDtorso scans to develop an AI-based image retrieval system that helps surgeons show patients medically appropriate prior-case examples during breast reconstruction consultations.