Author:
Dhamale T.D.,Bhandari Sheetal U.
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference27 articles.
1. M. Ismail, G. Barnes, M. Nitzken, A. Switala, A. Shalaby, E. Hosseini-Asl, M. Casanova, R. Keynton, A. Khalil, A. El-Baz, A new deep-learning approach for early detection of shape variations in autism using structural MRI, in: 2017 IEEE International Conference on Image Processing (ICIP), IEEE, September 2017, pp. 1057–1061.
2. Performance analysis of machine learning classifiers for ASD screening;Halibas,2018
3. Classification of ASD based on fMRI data with deep learning;Shao;Cogn. Neurodyn.,2021
4. Autism spectrum disorder prediction by an explainable deep learning approach;Garg;CMC-Comput. Mater. Continua,2022
5. Exploring the structural and strategic bases of autism spectrum disorders with deep learning;Ke;IEEE Access,2020