Skip to main content

RETRACTION article

Front. Neurosci., 28 December 2023
Sec. Perception Science
Volume 17 - 2023 | https://doi.org/10.3389/fnins.2023.1358381
This article is part of the Research Topic Challenges and Current Research Status of Vertigo/Vestibular Diseases View all 39 articles

Retraction: A deep learning model for three-dimensional nystagmus detection and its preliminary application

This article is a retraction of:

  1. RETRACTED: A Deep Learning Model for Three-Dimensional Nystagmus Detection and Its Preliminary Application

    1. Read original article
\r\nFrontiers Editorial Office Frontiers Editorial Office*

A Retraction of the Original Research Article
A deep learning model for three-dimensional nystagmus detection and its preliminary application

by Lu, W., Li, Z., Li, Y., Li, J., Chen, Z., Feng, Y., Wang, H., Luo, Q., Wang, Y., Pan, J., Gu, L., Yu, D., Zhang, Y., Shi, H. and Yin, S. (2022). Front. Neurosci. 16:930028. doi: 10.3389/fnins.2022.930028

The journal retracts the 13 June 2022 article cited above.

Following publication, the publisher uncovered evidence that false identities were used in the peer-review process. The assignment of fake reviewers was confirmed by an investigation, conducted in accordance with Frontiers' policies and the Committee on Publication Ethics (COPE) guidelines. Given the concerns, the editors no longer have confidence in the findings presented in the article.

This retraction was approved by the Chief Editors of Frontiers in Neuroscience and the Chief Executive Editor of Frontiers. The authors do not agree to this retraction.

Citation: Frontiers Editorial Office (2023) Retraction: A deep learning model for three-dimensional nystagmus detection and its preliminary application. Front. Neurosci. 17:1358381. doi: 10.3389/fnins.2023.1358381

Received: 19 December 2023; Accepted: 21 December 2023;
Published: 28 December 2023.

Approved by:

Rufin VanRullen, Centre National de la Recherche Scientifique (CNRS), France

Copyright © 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, research.integrity@frontiersin.org

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.