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).

Photogrammetry is a useful tool to assess the aesthetic outcome after excision of skin tumors of the nose and reconstruction. AA Caretto, G Tarantino, C Grippaudo, E Candida, L Tagliaferri, K Peris, M Servillo, R Fortunato, R Bracaglia, S Gentileschi.

3dMD Customer Research, Medical, 3dMDface, Plastics

We enrolled 33 patients, comprising 24 men and 9 women, who were affected by cutaneous neoplasm on the nose and underwent excision followed by reconstruction with a flap. For each patient, we performed facial scans before and after surgery.

Three-dimensional Assessment of Longitudinal Surgical Outcome in Patients with Unilateral Cleft Lip and Palate: A Modified Rotation Advancement Technique. Y Xu, M Yao, B Shi, et al.

3dMD Customer Research, Medical, 3dMDface, Craniofacial/Cleft

We collected and assessed 3dMDface images of 115 consecutive patients who underwent primary repair between 2017 and 2019. 3dMD images were taken preoperatively, immediately postoperatively and at a first and second follow-up interval, occurring at an average year of 0.6 and 5.3 years, respectively.

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.