Artificial intelligence-aided assignment of journal submissions to associate editors—a feasibility study on IEEE transactions on medical imaging
- DOI
- 10.1186/s42492-025-00212-y
- Published
- 2026-01-12
- Container
- Visual Computing for Industry, Biomedicine, and Art
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s42492-025-00212-y,
title = {Artificial intelligence-aided assignment of journal submissions to associate editors—a feasibility study on IEEE transactions on medical imaging},
author = {Xuanang Xu and Joshua Yan and Gloria Nwachukwu and Hongming Shan and Uwe Kruger and Ge Wang},
year = {2026},
journal = {Visual Computing for Industry, Biomedicine, and Art},
doi = {10.1186/s42492-025-00212-y},
url = {https://doi.org/10.1186/s42492-025-00212-y}
}RIS
TY - JOUR TI - Artificial intelligence-aided assignment of journal submissions to associate editors—a feasibility study on IEEE transactions on medical imaging AU - Xuanang Xu AU - Joshua Yan AU - Gloria Nwachukwu AU - Hongming Shan AU - Uwe Kruger AU - Ge Wang PY - 2026 JO - Visual Computing for Industry, Biomedicine, and Art DO - 10.1186/s42492-025-00212-y UR - https://doi.org/10.1186/s42492-025-00212-y ER -
APA
Xu, X., Yan, J., Nwachukwu, G., Shan, H., Kruger, U., & Wang, G. (2026). Artificial intelligence-aided assignment of journal submissions to associate editors—a feasibility study on IEEE transactions on medical imaging. Visual Computing for Industry, Biomedicine, and Art. https://doi.org/10.1186/s42492-025-00212-y
Source records
- crossref · retrieved 2026-09-26T11:48:43.527Z