Molecular alterations prediction in gliomas via an interpretable deep learning model: a multicentre and retrospective study
- DOI
- 10.1016/j.landig.2025.100977
- Published
- 2026-04
- Container
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.landig.2025.100977,
title = {Molecular alterations prediction in gliomas via an interpretable deep learning model: a multicentre and retrospective study},
author = {Chu Han and Danyi Li and Bingchao Zhao and Xiuming Zhang and Jianhao Lin¹ and Xiaoling Yan and Ning Mao and Jiatai Lin² and Tianpeng Deng and Jingqi Huang and Jing Zhang and Jinbang Li and Xiangzhao Li and Hong Li and Yongrong Yan and Xiaohui Zhu and Xiaohong Yao and Hong Yan and Shulin Zhao and Lichong Wang and Yang Ming and Xuejun Liu and Shuai Li and Chongzhu Fan and Hairui She and Yi Dai and Lijuan Ye and Jing Wang and Fangfang Liu and Xiaojing Guo and Yanfen Cui and Qingling Zhang and Yifang Ping and Yingchao Liu and Xiuwu Bian and Zaiyi Liu and Li Liang},
year = {2026},
journal = {The Lancet Digital Health},
doi = {10.1016/j.landig.2025.100977},
url = {https://doi.org/10.1016/j.landig.2025.100977}
}RIS
TY - JOUR TI - Molecular alterations prediction in gliomas via an interpretable deep learning model: a multicentre and retrospective study AU - Chu Han AU - Danyi Li AU - Bingchao Zhao AU - Xiuming Zhang AU - Jianhao Lin¹ AU - Xiaoling Yan AU - Ning Mao AU - Jiatai Lin² AU - Tianpeng Deng AU - Jingqi Huang AU - Jing Zhang AU - Jinbang Li AU - Xiangzhao Li AU - Hong Li AU - Yongrong Yan AU - Xiaohui Zhu AU - Xiaohong Yao AU - Hong Yan AU - Shulin Zhao AU - Lichong Wang AU - Yang Ming AU - Xuejun Liu AU - Shuai Li AU - Chongzhu Fan AU - Hairui She AU - Yi Dai AU - Lijuan Ye AU - Jing Wang AU - Fangfang Liu AU - Xiaojing Guo AU - Yanfen Cui AU - Qingling Zhang AU - Yifang Ping AU - Yingchao Liu AU - Xiuwu Bian AU - Zaiyi Liu AU - Li Liang PY - 2026 JO - The Lancet Digital Health DO - 10.1016/j.landig.2025.100977 UR - https://doi.org/10.1016/j.landig.2025.100977 ER -
APA
Han, C., Li, D., Zhao, B., Zhang, X., Lin¹, J., Yan, X., Mao, N., Lin², J., Deng, T., Huang, J., Zhang, J., Li, J., Li, X., Li, H., Yan, Y., Zhu, X., Yao, X., Yan, H., Zhao, S., Wang, L., Ming, Y., Liu, X., Li, S., Fan, C., She, H., Dai, Y., Ye, L., Wang, J., Liu, F., Guo, X., Cui, Y., Zhang, Q., Ping, Y., Liu, Y., Bian, X., Liu, Z., & Liang, L. (2026). Molecular alterations prediction in gliomas via an interpretable deep learning model: a multicentre and retrospective study. The Lancet Digital Health. https://doi.org/10.1016/j.landig.2025.100977
Source records
- crossref · retrieved 2026-09-25T15:25:08.613Z