| Title | TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction |
| Author | |
| DOI | |
| Publication Years | 2023
|
| ISSN | 1945-7928
|
| ISBN | 978-1-6654-7359-0
|
| Source Title | |
| Pages | 1-4
|
| Conference Date | 18-21 April 2023
|
| Conference Place | Cartagena, Colombia
|
| Keywords | |
| SUSTech Authorship | Others
|
| URL | [Source Record] |
| Indexed By | |
| WOS Accession No | WOS:001062050500386
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10230709 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559196 |
| Department | Department of Electrical and Electronic Engineering |
| Affiliation | 1.Queensland Brain Institute, University of Queensland, Brisbane, Australia 2.School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia 3.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China |
| Recommended Citation GB/T 7714 |
Linfeng Liu,Junyan Lyu,Siyu Liu,et al. TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction[C],2023:1-4.
|
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment