Self-supervised ensembled learning for autism spectrum classification

Author:

Gaur ManuORCID,Chaturvedi Kunal,Vishwakarma Dinesh Kumar,Ramasamy Savitha,Prasad Mukesh

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology,Developmental and Educational Psychology

Reference56 articles.

1. DarkASDNet: classification of ASD on functional MRI using deep neural network;Ahammed;Frontiers in Neuroinformatics,2021

2. ASD-SAENet: a sparse autoencoder, and deep-neural network model for detecting autism spectrum disorder (ASD) using fMRI data;Almuqhim;Frontiers in Computational Neuroscience,2021

3. Alzubaidi, L., Al-Amidie, M., Al-Asadi, A., Humaidi, A.J., Al-Shamma, O., Fadhel, M.A., Zhang, J., Santamaría, J., Duan, Y., & Yousefi, B., 2021, Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data Academic Editors: Keyvan Farahani. https://doi.org/10.3390/cancers13071590.

4. Big Self-Supervised Models Advance Medical Image Classification;Azizi;IEEE/CVF International Conference on Computer Vision (ICCV),2021

5. Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening;Badarinath;International Joint Conference on Neural Networks (IJCNN),2018

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