A preliminary evaluation of still face images by deep learning: A potential screening test for childhood developmental disabilities

Grossard, 2018, Children facial expression production: influence of age, gender, emotion subtype, elicitation condition and culture, Front Psychol, 9, 446, 10.3389/fpsyg.2018.00446 L. MC, L. MV and B.-C. S, Autism, Lancet (London, England) 383 (2014), pp. 896-910. Yirmiya, 1989, Facial expressions of affect in autistic, mentally retarded and normal children, J Child Psychol Psychiatry, 30, 725, 10.1111/j.1469-7610.1989.tb00785.x Bal, 2018, Autism spectrum disorder symptoms from ages 2 to 19 years: implications for diagnosing adolescents and young adults, Autism Res Guha, 2018, A computational study of expressive facial dynamics in children with autism, IEEE Trans Affect Comput, 9, 14, 10.1109/TAFFC.2016.2578316 Samad, 2018, A feasibility study of autism behavioral markers in spontaneous facial, visual, and hand movement response data, IEEE Trans Neural Syst Rehabil Eng, 26, 353, 10.1109/TNSRE.2017.2768482 Owada, 2018, Computer-analyzed facial expression as a surrogate marker for autism spectrum social core symptoms, PLoS ONE, 13, 10.1371/journal.pone.0190442 Trevisan, 2016, Alexithymia, but not autism spectrum disorder, may be related to the production of emotional facial expressions, Molecular autism, 7, 46, 10.1186/s13229-016-0108-6 Heinsfeld, 2018, Identification of autism spectrum disorder using deep learning and the ABIDE dataset, Neuroimage Clin, 17, 16, 10.1016/j.nicl.2017.08.017 Guo, 2017, Diagnosing autism spectrum disorder from brain resting-state functional connectivity patterns using a deep neural network with a novel feature selection method, Front Neurosci, 11, 460, 10.3389/fnins.2017.00460 Todorov, 2011, Modeling social perception of faces [social sciences], IEEE Signal Process Mag, 28, 117, 10.1109/MSP.2010.940006 Valla, 2011, The accuracy of inferences about criminality based on facial appearance, J Social, Evolutionary Cultural Psychol, 5, 66, 10.1037/h0099274 Wu X, Zhang X, Liu C. Automated Inference on Sociopsychological Impressions of Attractive Female Faces (2016). Bedeloglu, 2018, Image-based analysis of emotional facial expressions in full face transplants, J Med Syst, 42, 42, 10.1007/s10916-018-0895-8 Fei-Fei, 2007, Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories, Comput. Vis. Image Underst., 106, 59, 10.1016/j.cviu.2005.09.012 Lu, 2014, Surpassing human-level face verification performance on LFW with GaussianFace, Comput. Sci. C. S, K. K, Z. T and D. GN, The inter-relationships between cerebral visual impairment, autism and intellectual disability, Neurosci Biobehav Rev (2020). Shulman, 2020, Diagnosis of autism spectrum disorder across the lifespan, Child Adolesc Psychiatr Clin N Am, 29, 253, 10.1016/j.chc.2020.01.001 Saito, 2020, Prevalence and cumulative incidence of autism spectrum disorders and the patterns of co-occurring neurodevelopmental disorders in a total population sample of 5-year-old children, Molecular Autism, 11, 35, 10.1186/s13229-020-00342-5 Au-Yeung, 2019, Experience of mental health diagnosis and perceived misdiagnosis in autistic, possibly autistic and non-autistic adults, Autism, 23, 1508, 10.1177/1362361318818167 Richard, 2019, Differential diagnosis of autism spectrum disorder versus language disorder in children ages 2 to 5 years: contributions of parent-reported development and behavior, Clin Pediatr, 58, 1232, 10.1177/0009922819865794 K. R, B. S, T. F, et al., The relationship between symptoms of autism spectrum disorder and visual impairment among adults with intellectual disability, Autism Res, 12 (2019), pp. 1411–1422. Thom, 2020, Psychiatric assessment of social impairment across the lifespan, Harvard Rev Psychiatry, 28, 159, 10.1097/HRP.0000000000000257 D. RB, L. C, C. S, A. C, S. P and B.-C. S, The overlap between autistic spectrum conditions and borderline personality disorder, PloS One 12 (2017), p. e0184447. Tan M, Wang L, Tsang I. Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets, (2010), pp. 1047–1054. Cabe, 2010, Characterizing perceptual learning using regression statistics: development of a perceptual calibration index, Am J Psychol, 123, 253, 10.5406/amerjpsyc.123.3.0253 Janik, 1978, Eyes as the center of focus in the visual examination of human faces, Percept Mot Skills, 47, 857, 10.2466/pms.1978.47.3.857 Wallraven, 2005, Learning from humans: computational modeling of face recognition, Network, 16, 401, 10.1080/09548980500508844 Perrett, 1994, Facial shape and judgements of female attractiveness, Nature, 368, 239, 10.1038/368239a0 Levin, 1996, Classifying faces by race: the structure of face categories, J Exp Psychol Learn Mem Cogn, 22, 1364, 10.1037/0278-7393.22.6.1364 Wang Y, Liao H, Feng Y, Xu X, Luo J. Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning, Comput Sci (2016), p. arXiv:1610.01854. Edwards GJ, Taylor C, Cootes TF. Interpreting face images using active appearance models, (1998), pp. 300-305. Turk MA, Pentland AP. Face recognition using eigenfaces, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1991), pp. 586-591.