![Man ultramarathon runner in the mountains he trains at sunset](https://d2csxpduxe849s.cloudfront.net/media/E32629C6-9347-4F84-81FEAEF7BFA342B3/0B4B1380-42EB-4FD5-9D7E2DBC603E79F8/webimage-C4875379-1478-416F-B03DF68FE3D8DBB5.png)
94% of researchers rate our articles as excellent or good
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.
Find out more
RETRACTION article
Front. Comput. Neurosci. , 16 May 2023
Volume 17 - 2023 | https://doi.org/10.3389/fncom.2023.1215827
This article is a retraction of:
RETRACTED: Deep Learning for Autism Diagnosis and Facial Analysis in Children
A Retraction of the Original Research Article
Deep learning for autism diagnosis and facial analysis in children
by Hosseini, M.-P., Beary, M., Hadsell, A., Messersmith, R., and Soltanian-Zadeh, H. (2022). Front. Comput. Neurosci. 15:789998. doi: 10.3389/fncom.2021.789998
The journal and Chief Editors retract the 20 January 2022 article cited above.
Following publication, concerns were raised regarding the quality of the article and the language of the presentation. An investigation was conducted in accordance with Frontiers' policies.
A post-publication assessment by an expert in the field found that the complaints were valid and that the study design is not adequate to justify the conclusions drawn by the authors. The article does not meet the standards of editorial and scientific soundness for Frontiers in Computational Neuroscience; therefore, it has been retracted.
This retraction was approved by the Chief Editors of Frontiers in Computational Neuroscience and the Chief Executive Editor of Frontiers. The authors did not agree to this retraction.
Citation: Frontiers Editorial Office (2023) Retraction: Deep learning for autism diagnosis and facial analysis in children. Front. Comput. Neurosci. 17:1215827. doi: 10.3389/fncom.2023.1215827
Received: 02 May 2023; Accepted: 02 May 2023;
Published: 16 May 2023.
Approved by:
Si Wu, Peking University, ChinaCopyright © 2023 Frontiers Editorial Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Frontiers Editorial Office, ZWRpdG9yaWFsLm9mZmljZUBmcm9udGllcnNpbi5vcmc=
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Research integrity at Frontiers
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.