Behavioral Modeling Using Deep Neural Network Framework for ASD Diagnosis and Prognosis

[1]  Stephen M. Gordon,et al.  EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces , 2021 .

[2]  L. Kanner.  Autistic disturbances of affective contact. , 1968, Acta paedopsychiatrica.

[3]  Lili He,et al.  A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes , 2018, Front. Neurosci..

[4]  Paolo Massimo Buscema,et al.  Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study , 2017, Comput. Methods Programs Biomed..

[5]  Seong-Whan Lee,et al.  Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[6]  C. Uzun,et al.  Evaluation of hearing in children with autism by using TEOAE and ABR , 2007, Autism : the international journal of research and practice.

[7]  Tanu Wadhera,et al.  Modeling risk perception using independent and social learning: application to individuals with autism spectrum disorder , 2020 .

[8]  Mikhail Belkin,et al.  Robust features for the automatic identification of autism spectrum disorder in children , 2014, Journal of Neurodevelopmental Disorders.

[9]  Tanu,et al.  Influence of Emotional Imagery on Risk Perception and Decision Making in Autism Spectrum Disorder , 2019, Neurophysiology.

[10]  Ridha Djemal,et al.  EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN , 2017, BioMed research international.

[11]  F. Duffy,et al.  A stable pattern of EEG spectral coherence distinguishes children with autism from neuro-typical controls - a large case control study , 2012, BMC Medicine.

[12]  L. Afifi,et al.  Quantitative EEG in autistic children , 2015 .

[13]  The-Hanh Pham,et al.  Autism Spectrum Disorder Diagnostic System Using HOS Bispectrum with EEG Signals , 2020, International journal of environmental research and public health.

[14]  Tanu Wadhera,et al.  Multiplex temporal measures reflecting neural underpinnings of brain functional connectivity under cognitive load in Autism Spectrum Disorder , 2020, Neurological research.

[15]  S. Jeste,et al.  Recurrence quantification analysis of resting state EEG signals in autism spectrum disorder – a systematic methodological exploration of technical and demographic confounders in the search for biomarkers , 2018, BMC Medicine.

[16]  L. Wing,et al.  Asperger's syndrome: a clinical account , 1981, Psychological Medicine.

[17]  C. Nelson,et al.  EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach , 2018, Scientific Reports.

[18]  Deepti Kakkar,et al.  Diagnostic Assessment Techniques and Non-Invasive Biomarkers for Autism Spectrum Disorder , 2019, Int. J. E Health Medical Commun..

[19]  Deepti Kakkar,et al.  Conditional entropy approach to analyze cognitive dynamics in autism spectrum disorder , 2020, Neurological research.

[20]  Strengthening risk prediction using statistical learning in children with autism spectrum disorder , 2018, Advances in Autism.

[21]  Mickey Keenan,et al.  Awareness and knowledge of autism and autism interventions: A general population survey , 2013 .

[22]  Ihsan Mohd Yassin,et al.  EEG Classification Analysis for Diagnosing Autism Spectrum Disorder based on Emotions , 2018 .