Automatic Autism Spectrum Disorder Detection Thanks to Eye-Tracking and Neural Network-Based Approach. - Romuald Carette; Federica Cilia; Gilles Dequen; Jérôme Bosche; Jean-Luc Guérin; Luc Vandromme (HealthyIoT, 2017)

Visualization of Eye-Tracking Patterns in Autism Spectrum Disorder: Method and Dataset. - Romuald Carette; Mahmoud Elbattah; Gilles Dequen; Jean-Luc Guérin; Federica Cilia (ICDIM, 2018)

Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths. - Romuald Carette; Mahmoud Elbattah; Federica Cilia; Gilles Dequen; Jean-Luc Guérin; Jérôme Bosche (HEALTHINF, 2019)

Learning Clusters in Autism Spectrum Disorder: Image-Based Clustering of Eye-Tracking Scanpaths with Deep Autoencoder. - Mahmoud Elbattah; Romuald Carette; Gilles Dequen; Jean-Luc Guérin; Federica Cilia (EMBC, 2019)

Generative Modeling of Synthetic Eye-tracking Data: NLP-based Approach with Recurrent Neural Networks. - Mahmoud Elbattah; Jean-Luc Guérin; Romuald Carette; Federica Cilia; Gilles Dequen (IJCCI, 2020)

NLP-Based Approach to Detect Autism Spectrum Disorder in Saccadic Eye Movement. - Mahmoud Elbattah; Jean-Luc Guérin; Romuald Carette; Federica Cilia; Gilles Dequen (SSCI, 2020)

Variational Autoencoder for Image-Based Augmentation of Eye-Tracking Data. - Mahmoud Elbattah; Colm Loughnane; Jean-Luc Guérin; Romuald Carette; Federica Cilia; Gilles Dequen (J. Imaging, 2021)

Vision-based Approach for Autism Diagnosis using Transfer Learning and Eye-tracking. - Mahmoud Elbattah; Jean-Luc Guérin; Romuald Carette; Federica Cilia; Gilles Dequen (HEALTHINF, 2022)