Forecasting Alzheimer’s disease progression via identity-preserved denoising diffusion generative adversarial network
- DOI
- 10.1038/s41746-026-02865-2
- Published
- 2026-06-09
- Container
- npj Digital Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41746-026-02865-2,
title = {Forecasting Alzheimer’s disease progression via identity-preserved denoising diffusion generative adversarial network},
author = {Zhuangzhuang Li and Tongtong Che and Shaozhen Yan and Dong Wang and Yong Liu and Kun Zhao},
year = {2026},
journal = {npj Digital Medicine},
doi = {10.1038/s41746-026-02865-2},
url = {https://doi.org/10.1038/s41746-026-02865-2}
}RIS
TY - JOUR TI - Forecasting Alzheimer’s disease progression via identity-preserved denoising diffusion generative adversarial network AU - Zhuangzhuang Li AU - Tongtong Che AU - Shaozhen Yan AU - Dong Wang AU - Yong Liu AU - Kun Zhao PY - 2026 JO - npj Digital Medicine DO - 10.1038/s41746-026-02865-2 UR - https://doi.org/10.1038/s41746-026-02865-2 ER -
APA
Li, Z., Che, T., Yan, S., Wang, D., Liu, Y., & Zhao, K. (2026). Forecasting Alzheimer’s disease progression via identity-preserved denoising diffusion generative adversarial network. npj Digital Medicine. https://doi.org/10.1038/s41746-026-02865-2
Source records
- crossref · retrieved 2026-09-26T11:39:53.420Z