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).

Dynamic three-dimensional facial topography in pediatric facial palsy: Understanding asymmetrical facial contours. K Prezelskia, J Cheng, RR Hallac.

3dMD Customer Research

Curvature analysis provides insight into the unexplored relationship of the 3D morphological dynamics of the concavity and convexity of the face, to add to the understanding of this complex condition… could allow surgical treatment to be tailored to an individual patient’s dynamic anatomy by identifying and quantifying facial region-specific asymmetry.