Deep learning models accurately classify Parkinson’s disease from eye-tracking fixation data
- DOI
- 10.1016/j.ijmedinf.2026.106626
- Published
- 2026-11
- Container
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijmedinf.2026.106626,
title = {Deep learning models accurately classify Parkinson’s disease from eye-tracking fixation data},
author = {Gonzalo Uribarri and Simon Ekman von Huth and Josefine Waldthaler and Per Svenningsson and Erik Fransén},
year = {2026},
journal = {International Journal of Medical Informatics},
doi = {10.1016/j.ijmedinf.2026.106626},
url = {https://doi.org/10.1016/j.ijmedinf.2026.106626}
}RIS
TY - JOUR TI - Deep learning models accurately classify Parkinson’s disease from eye-tracking fixation data AU - Gonzalo Uribarri AU - Simon Ekman von Huth AU - Josefine Waldthaler AU - Per Svenningsson AU - Erik Fransén PY - 2026 JO - International Journal of Medical Informatics DO - 10.1016/j.ijmedinf.2026.106626 UR - https://doi.org/10.1016/j.ijmedinf.2026.106626 ER -
APA
Uribarri, G., Huth, S. E. V., Waldthaler, J., Svenningsson, P., & Fransén, E. (2026). Deep learning models accurately classify Parkinson’s disease from eye-tracking fixation data. International Journal of Medical Informatics. https://doi.org/10.1016/j.ijmedinf.2026.106626
Source records
- crossref · retrieved 2026-09-26T02:29:41.164Z