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CORRECTION article

Front. Neurosci., 07 March 2023
Sec. Brain Imaging Methods

Corrigendum: Toward attention-based learning to predict the risk of brain degeneration with multimodal medical data

  • 1Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
  • 2EchoX Technology Limited, Hong Kong, Hong Kong SAR, China
  • 3Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China

A corrigendum on
Toward attention-based learning to predict the risk of brain degeneration with multimodal medical data

by Sun, X., Guo, W., and Shen, J. (2023). Front. Neurosci. 16:1043626. doi: 10.3389/fnins.2022.1043626

In the published article, there was an error in affiliations (3, 4). Instead of “[3Graduate School, Tianjin Medical University, Tianjin, China, 4Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China],” it should be “[3Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China].”

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: risk prediction of brain degeneration, multimodal medical data, multimodal learning, self-attention mechanism, cross-attention mechanism

Citation: Sun X, Guo W and Shen J (2023) Corrigendum: Toward attention-based learning to predict the risk of brain degeneration with multimodal medical data. Front. Neurosci. 17:1153816. doi: 10.3389/fnins.2023.1153816

Received: 30 January 2023; Accepted: 17 February 2023;
Published: 07 March 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Sun, Guo and Shen. 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: Jing Shen, 15804257313@163.com

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.