Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer’s Disease-Reference-Cited by-同舟云学术

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Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer’s Disease

Published:2024 Issue: Volume: Page:82-92
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Pan Junren,Jing Changhong,Zuo Qiankun,Nieuwoudt Martin,Wang Shuqiang

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-97-1417-9_8

Reference41 articles.

1. Dadar, M., Pascoal, T.A., Manitsirikul, S., Fonov, V.S., et al.: Validation of a regression technique for segmentation of white matter hyperintensities in Alzheimer’s disease. IEEE Trans. Med. Imaging 36(8), 1758–1768 (2017)

2. Alzheimer’s Association: 2019 Alzheimer’s disease facts and figures. Alzheimer’s Dementia, vol. 15, no. 3, pp. 321–387 (2019)

3. Alzheimer’s Association: Alzheimer’s disease facts and figures. Alzheimer’s Dement, vol. 14, pp. 367–429 (2018)

4. Wang, S., et al.: Skeletal maturity recognition using a fully automated system with convolutional neural networks. IEEE Access 6, 29979–29993 (2018)

5. Wang, S., Shen, Y., Zeng, D., Hu, Y.: Bone age assessment using convolutional neural networks. In: International Conference on Artificial Intelligence and Big Data (ICAIBD), pp. 175–178 (2018)

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. Classification of Alzheimer’s Disease with Generated MRI Images using Randomized CNN;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

2. Alzheimer Detection and Classification Using SVM and GAN;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

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