Three-dimensional assessment of facial asymmetry using dense correspondence, symmetry, and midline analysis. V Lum, MS Goonewardene, A Mian, P Eastwood.
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Training AI, Wearing Tech,
and Imaging Health.
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This excerpt will show up on the home page Blog/News feed
This excerpt will show up on the home page Blog/News feed
Date: February 2020. Source: European Journal of Dentistry, 14(01): 100-106, DOI: 10.1055/s-0040-1702258. Objectives: The purpose of this study was to determine the differences in three-dimensional (3D) facial features in a population from Zimbabwe and the United States. In addition, this study seeks to establish an average facial template of each population allowing clinicians to treat…
Date: December 2019. Source: European Journal of Dentistry 2019; 13(04): 485-496 DOI: 10.1055/s-0039-3400551. Objective: The purpose of this cross-sectional retrospective study was to use three-dimensional surface imaging to determine gender dimorphism and facial morphological changes from adolescence to adulthood in African American and Caucasian populations. Materials and Methods: Three-dimensional images were captured and the total…
Date: December 2019. Source: Journal of Plastic, Reconstructive & Aesthetic Surgery, Volume 72, Issue 12, Pages 2033-2040. Background: Defining three-dimensional (3D) normal craniofacial morphology in healthy children could provide craniofacial surgeons a reference point to assess disease, plan surgical reconstruction, and evaluate treatment outcome. The purposes of this study were to report normal craniofacial form…
HSS researchers evaluating ‘3dMD’ technology to reduce x-ray use and improve therapy for scoliosis patients Researchers at Hospital for Special Surgery (HSS) in New York City are enrolling patients in a study using cutting-edge imaging technology to produce three-dimensional maps of the spine in people with scoliosis. For the entire HSS press release click here.
3dMDbody Capture at the Science Museum, London
Date: April 2019. Source: Scientific Reports 9, 6085. https://doi.org/10.1038/s41598-019-42533-y. Abstract: Dense surface registration, commonly used in computer science, could aid the biological sciences in accurate and comprehensive quantification of biological phenotypes. However, few toolboxes exist that are openly available, non-expert friendly, and validated in a way relevant to biologists. Here, we report a customizable toolbox…
Date: April 2019. Source: Cornell University Library – arXiv.org, Computer Vision and Pattern Recognition. Abstract: Generative Adversarial Networks (GANs) are currently the method of choice for generating visual data. Certain GAN architectures and training methods have demonstrated exceptional performance in generating realistic synthetic images (in particular, of human faces). However, for 3D object, GANs still…