HOPE: Hybrid-Granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment
- DOI
- 10.1109/jbhi.2024.3357453
- Published
- 2024-11
- Container
- IEEE Journal of Biomedical and Health Informatics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2024.3357453,
title = {HOPE: Hybrid-Granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment},
author = {Chenhui Wang and Yiming Lei and Tao Chen and Junping Zhang and Yuxin Li and Hongming Shan},
year = {2024},
journal = {IEEE Journal of Biomedical and Health Informatics},
doi = {10.1109/jbhi.2024.3357453},
url = {https://doi.org/10.1109/jbhi.2024.3357453}
}RIS
TY - JOUR TI - HOPE: Hybrid-Granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment AU - Chenhui Wang AU - Yiming Lei AU - Tao Chen AU - Junping Zhang AU - Yuxin Li AU - Hongming Shan PY - 2024 JO - IEEE Journal of Biomedical and Health Informatics DO - 10.1109/jbhi.2024.3357453 UR - https://doi.org/10.1109/jbhi.2024.3357453 ER -
APA
Wang, C., Lei, Y., Chen, T., Zhang, J., Li, Y., & Shan, H. (2024). HOPE: Hybrid-Granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2024.3357453
Source records
- crossref · retrieved 2026-11-07T17:33:14.158Z