Multimodal region-based transformer for the classification and prediction of Alzheimer's disease-Reference-Cited by-同舟云学术

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Multimodal region-based transformer for the classification and prediction of Alzheimer's disease

Published:2022-04-04 Issue: Volume: Page:
ISSN:
Container-title:Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging
language:
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Author:

Mueller Kevin,Meyer-Baese Anke,Erlebacher Gordon

Publisher

SPIE

Reference23 articles.

1. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

2. Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

3. ImageNet Large Scale Visual Recognition Challenge

4. Benchmarking functional connectome-based predictive models for resting-state fMRI

5. Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NetFeatures-Transformer: Enhancing Brain Network Features to Classify Alzheimer's Disease;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26

2. Depthwise Separable Convolution ResNet with attention mechanism for Alzheimer's detection*;2022 International Conference on Technology Innovations for Healthcare (ICTIH);2022-09-14

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