Deep learning-based relapse prediction of neuromyelitis optica spectrum disorder with anti-aquaporin-4 antibody
- DOI
- 10.3389/fneur.2022.947974
- Published
- 2022-08-05
- Container
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fneur.2022.947974,
title = {Deep learning-based relapse prediction of neuromyelitis optica spectrum disorder with anti-aquaporin-4 antibody},
author = {Liang Wang and Lei Du and Qinying Li and Fang Li and Bei Wang and Yuanqi Zhao and Qiang Meng and Wenyu Li and Juyuan Pan and Junhui Xia and Shitao Wu and Jie Yang and Heng Li and Jianhua Ma and Jingzi ZhangBao and Wenjuan Huang and Xuechun Chang and Hongmei Tan and Jian Yu and Lei Zhou and Chuanzhen Lu and Min Wang and Qiang Dong and Jiahong Lu and Chongbo Zhao and Chao Quan},
year = {2022},
journal = {Frontiers in Neurology},
doi = {10.3389/fneur.2022.947974},
url = {https://doi.org/10.3389/fneur.2022.947974}
}RIS
TY - JOUR TI - Deep learning-based relapse prediction of neuromyelitis optica spectrum disorder with anti-aquaporin-4 antibody AU - Liang Wang AU - Lei Du AU - Qinying Li AU - Fang Li AU - Bei Wang AU - Yuanqi Zhao AU - Qiang Meng AU - Wenyu Li AU - Juyuan Pan AU - Junhui Xia AU - Shitao Wu AU - Jie Yang AU - Heng Li AU - Jianhua Ma AU - Jingzi ZhangBao AU - Wenjuan Huang AU - Xuechun Chang AU - Hongmei Tan AU - Jian Yu AU - Lei Zhou AU - Chuanzhen Lu AU - Min Wang AU - Qiang Dong AU - Jiahong Lu AU - Chongbo Zhao AU - Chao Quan PY - 2022 JO - Frontiers in Neurology DO - 10.3389/fneur.2022.947974 UR - https://doi.org/10.3389/fneur.2022.947974 ER -
APA
Wang, L., Du, L., Li, Q., Li, F., Wang, B., Zhao, Y., Meng, Q., Li, W., Pan, J., Xia, J., Wu, S., Yang, J., Li, H., Ma, J., ZhangBao, J., Huang, W., Chang, X., Tan, H., Yu, J., Zhou, L., Lu, C., Wang, M., Dong, Q., Lu, J., Zhao, C., & Quan, C. (2022). Deep learning-based relapse prediction of neuromyelitis optica spectrum disorder with anti-aquaporin-4 antibody. Frontiers in Neurology. https://doi.org/10.3389/fneur.2022.947974
Source records
- crossref · retrieved 2026-09-25T17:20:20.041Z