Recognition of Alzheimer's Disease on sMRI based on 3D Multi-Scale CNN Features and a Gated Recurrent Fusion Unit-Reference-Cited by-同舟云学术

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Recognition of Alzheimer's Disease on sMRI based on 3D Multi-Scale CNN Features and a Gated Recurrent Fusion Unit

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Content-Based Multimedia Indexing (CBMI)
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Author:

Bakkouri Ibtissam,Afdel Karim,Benois-Pineau Jenny,Catheline Gwenaelle

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8863324/8877378/08877477.pdf?arnumber=8877477

Cited by 11 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. Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions;Expert Systems with Applications;2024-12

2. Coordinate Attention Based 3D-CNN Using Ghost Multi-Scale for Diagnosing Alzheimer’s Disease;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. MSFNet‐2SE: A multi‐scale fusion convolutional network for Alzheimer's disease classification on magnetic resonance images;International Journal of Imaging Systems and Technology;2024-05-30

4. An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction;Health Information Science;2023

5. An Attention-Based 3D CNN With Multi-Scale Integration Block for Alzheimer's Disease Classification;IEEE Journal of Biomedical and Health Informatics;2022-11

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