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
Rudrani Maity1
Vellupillai Mariappan Raja Sankari1
Umapathy Snekhalatha1,2*Shubashini Velu3
Tahani Jaser Alahmadi4
Zaid Ali Alhababi5Hend Khalid Alkahtani4- 1Department of Biomedical Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
- 2College of Engineering, Architecture and Fine Arts, Batangas State University, Batangas, Philippines
- 3MIS Department, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia
- 4Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
- 5Riyadh First Health Cluster, Ministry of Health, Riyadh, Saudi Arabia
A Corrigendum on
Early detection of Alzheimer's disease in structural and functional MRI
by Maity, R., Raja Sankari, V. M., Snekhalatha, U., Velu, S., Alahmadi, T. J., Alhababi, Z. A., and Alkahtani, H. K. (2024). Front. Med. 11:1520878. doi: 10.3389/fmed.2024.1520878
In the published article, there was an error in the Funding statement. It needed to include the same content as provided in the acknowledgment section. The correct Funding statement appears below.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. The authors extend their appreciation to the King Salman Center for Disability Research for funding this work through Research Group no. KSRG-2023-021.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher's note
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.
Keywords: Alzheimer's disease, fMRI, DeepLabV3+, Deep Residual U-NET, feature extraction
Citation: Maity R, Raja Sankari VM, Snekhalatha U, Velu S, Alahmadi TJ, Alhababi ZA and Alkahtani HK (2025) Corrigendum: Early detection of Alzheimer's disease in structural and functional MRI. Front. Med. 12:1589447. doi: 10.3389/fmed.2025.1589447
Received: 07 March 2025; Accepted: 14 March 2025;
Published: 27 March 2025.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2025 Maity, Raja Sankari, Snekhalatha, Velu, Alahmadi, Alhababi and Alkahtani. 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: Umapathy Snekhalatha, c25laGFsYXVAc3JtaXN0LmVkdS5pbg==