Enhancing the diagnosis of autism spectrum disorder using phenotypic, structural, and functional MRI data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s11334-023-00536-z.pdf
Reference17 articles.
1. GreavesLord K, Skuse D, Mandy W (2022) Innovations of the ICD-11 in the field of autism spectrum disorder: a psychological approach. Clin Psychol Europe 4:e10005
2. Subah FZ, Deb K, Dhar PK, Koshiba T (2021) A deep learning approach to predict autism spectrum disorder using multisite resting-state fMRI. Appl Sci 11(8):3636
3. Heinsfeld AS, Franco AR, Craddock RC, Buchweitz A, Meneguzzi F (2018) Identification of autism spectrum disorder using deep learning and the ABIDE dataset. NeuroImage Clin 17:16–23
4. Eslami T, Mirjalili V, Fong A, Laird AR, Saeed F (2019) ASD-DiagNet: a hybrid learning approach for detection of autism spectrum disorder using fMRI data. Front Neuroinform 13:70
5. Tang M, Kumar P, Chen H, Shrivastava A (2020) Deep multimodal learning for the diagnosis of autism spectrum disorder. J Imaging 6(6):47
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