Volumetric spline-based Kolmogorov-Arnold architectures surpass CNNs, vision transformers, and graph networks for Parkinson’s disease detection
- DOI
- 10.1038/s43856-025-01141-w
- Published
- 2025-11-03
- Container
- Communications Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s43856-025-01141-w,
title = {Volumetric spline-based Kolmogorov-Arnold architectures surpass CNNs, vision transformers, and graph networks for Parkinson’s disease detection},
author = {Salil B. Patel and Vicky Goh and James J. FitzGerald and Chrystalina A. Antoniades},
year = {2025},
journal = {Communications Medicine},
doi = {10.1038/s43856-025-01141-w},
url = {https://doi.org/10.1038/s43856-025-01141-w}
}RIS
TY - JOUR TI - Volumetric spline-based Kolmogorov-Arnold architectures surpass CNNs, vision transformers, and graph networks for Parkinson’s disease detection AU - Salil B. Patel AU - Vicky Goh AU - James J. FitzGerald AU - Chrystalina A. Antoniades PY - 2025 JO - Communications Medicine DO - 10.1038/s43856-025-01141-w UR - https://doi.org/10.1038/s43856-025-01141-w ER -
APA
Patel, S. B., Goh, V., FitzGerald, J. J., & Antoniades, C. A. (2025). Volumetric spline-based Kolmogorov-Arnold architectures surpass CNNs, vision transformers, and graph networks for Parkinson’s disease detection. Communications Medicine. https://doi.org/10.1038/s43856-025-01141-w
Source records
- crossref · retrieved 2026-11-10T14:04:49.594Z