Multimodal mixing convolutional neural network and transformer for Alzheimer’s disease recognition-Reference-Cited by-同舟云学术

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Multimodal mixing convolutional neural network and transformer for Alzheimer’s disease recognition

Published:2025-01 Issue: Volume:259 Page:125321
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Chen Junde^ORCID,Wang Yun^ORCID,Zeb Adnan,Suzauddola M.D.^ORCID,Wen Yuxin^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. Robust hybrid deep learning models for Alzheimer’s progression detection;Abuhmed;Knowledge-Based Systems,2021

2. 2023 Alzheimer’s disease facts and figures;Association;Alzheimer’s & Dementia,2023

3. A practical computerized decision support system for predicting the severity of Alzheimer’s disease of an individual;Bucholc;Expert Systems with Applications,2019

4. Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation;Chen;International Journal of Applied Earth Observation and Geoinformation,2022

5. Transmed: Transformers advance multi-modal medical image classification;Dai;Diagnostics,2021

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