Diagnostic classification of autism spectrum disorder using sMRI improves with the morphological distance-related features compared to morphological features-Reference-Cited by-同舟云学术

Diagnostic classification of autism spectrum disorder using sMRI improves with the morphological distance-related features compared to morphological features

Published:2024-03-27 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Manoj Gokul^ORCID,Gupta Vaibhavi,Bhattacharya Aditi,Aleem Shaik Gadda Abdul,Vedantham Dhanvi,A Amalin Prince,Agastinose Ronickom Jac Fredo

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18817-5.pdf

Reference66 articles.

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4. Subramanyam AA, Mukherjee A, Dave M, Chavda K (2019) Clinical practice guidelines for autism spectrum disorders. Indian J Psychiatry 61(Suppl 2):254–269. https://doi.org/10.4103/psychiatry.IndianJPsychiatry_542_18

5. Murphy CM, Wilson CE, Robertson DM, Ecker C, Daly EM, Hammond N, Galanopoulos A, Dud I, Murphy DG, McAlonan GM (2016) Autism spectrum disorder in adults: diagnosis, management, and health services development. Neuropsychiatr Dis Treat 12:1669–1686. https://doi.org/10.2147/-NDT.S65455