Deep learning predicted perceived age is a reliable approach for analysis of facial ageing: A proof of principle study. C Turner, LM Pardo, DA Gunn, R Zillmer, S Mekić, F Liu, MA Ikram, CCW Klaver, PH Croll, A Goedegebure, K Trajanoska, F Rivadeneira, M Kavousi, GGO Brusselle, M Kayser, T Nijsten, J Bacardit.

3dMD Customer Research, Computer Science | Computer Vision, Genetics, Normative Study, 3dMDface, Computer Science

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).

A multi-ancestry GWAS meta-analysis of facial features and its application in predicting archaic human features. S Du, J Chen, J Li, W Qian, S Wu, Q Peng, Y Liu, T Pan, Y Li, SS Hadi, J Tan, Z Yuan, J Wang, K Tang, Z Wang, Y Wen, X Dong, W Zhou, A Ruiz-Linares, Y Shi, L Jin, F Liu, M Zhang, S Wang.

3dMD Customer Research, Computer Science | Computer Vision, Genetics, Normative Study, 3dMDface

In this study, we conducted a large-scale multi-ethnic meta-analysis of Genome-Wide Association Study (GWAS), including 9674 East Asians and 10,115 Europeans, quantitatively assessing 78 facial traits using 3D facial images.

Thermal facial image analyses reveal quantitative hallmarks of aging and metabolic diseases. Z Yu, Y Zhou, K Mao, B Pang, K Wang, T Jin, H Zheng, H Zhai, Y Wang, X Xu, H Liu, Y Wang, JDJ Han.

3dMD Customer Research, Genetics, Normative Study, Morphometrics, Multimodal (CT/CBCT)

We collected thermal and 3dMD facial images of 2,811 Han Chinese individuals 20–90 years old, developed the ThermoFace method to automatically process and analyze images, and then generated thermal age and disease prediction models.

Prospective cohort study on facial profile changes in infants with Robin sequence and healthy controls. C Wiechers, J Sowula, K Kreutzer, et al.

3dMD Customer Research, Genetics, Medical, 3dMDface

For infants up to age three months, 3D images were performed in our neonatal intermediate care unit in the supine position using a 10Hz 3dMDface.t System with this set-up being developed specifically for this study. Subsequently, 3D images were taken in an upright position with infants sitting on their parent’s lap in the department of orthodontics using a 10Hz 3dMDtrio.t system.

Fully automated landmarking and facial segmentation on 3D photographs. B Berends, F Bielevelt, R Schreurs, et al.

3dMD Customer Research, Computer Science | Computer Vision, Genetics, Medical, Computer Science, Craniofacial/Cleft, Oral and Maxillofacial, Orthodontics, Orthognathic, Plastics

A deep learning-based approach for automated landmark extraction from 3dMD facial photographs was developed and its precision was evaluated. The results showed high precision and consistency in landmark annotation, comparable to manual and semi-automatic annotation methods.

Automated three-dimensional analysis of facial asymmetry in patients with syndromic coronal synostosis: A retrospective study. TM Choi, X Liu, T Abdel-Alim, ML van Veelen, IMJ Mathijssen, EB Wolvius, GV Roshchupkin.

3dMD Customer Research, Computer Science | Computer Vision, Genetics, Oral and Maxillofacial, Plastics

101 patients from 2005 to 2022 were selected for inclusion according to the following criteria: diagnosis molecularly confirmed; were of Caucasian descent; had only premature fusion of left and/or right coronal suture(s); had undergone only one craniofacial surgery; were younger than 18 years; had undergone no orthodontic treatment; had no extraction of permanent teeth; and had not undergone maxillary osteotomy.