RETRACTED: A Deep Learning Model for Three-Dimensional Nystagmus Detection and Its Preliminary Application
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. UPDATE (30 July 2024): This notice is to alert readers of this matter, it does not imply involvement of the co-authors.
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), FranceCopyright © 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