Enhancing the detection of visual-cognitive disruptions in automated dyslexia diagnosis using viscoelastic constitutive artificial neural networks for eye movement analysis
- DOI
- 10.1007/s10633-026-10116-8
- Published
- 2026-06-11
- Container
- Documenta Ophthalmologica
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10633-026-10116-8,
title = {Enhancing the detection of visual-cognitive disruptions in automated dyslexia diagnosis using viscoelastic constitutive artificial neural networks for eye movement analysis},
author = {S. Regilan and R. Indumathi and J. Jenitha and M. Sowmiya Manoj},
year = {2026},
journal = {Documenta Ophthalmologica},
doi = {10.1007/s10633-026-10116-8},
url = {https://doi.org/10.1007/s10633-026-10116-8}
}RIS
TY - JOUR TI - Enhancing the detection of visual-cognitive disruptions in automated dyslexia diagnosis using viscoelastic constitutive artificial neural networks for eye movement analysis AU - S. Regilan AU - R. Indumathi AU - J. Jenitha AU - M. Sowmiya Manoj PY - 2026 JO - Documenta Ophthalmologica DO - 10.1007/s10633-026-10116-8 UR - https://doi.org/10.1007/s10633-026-10116-8 ER -
APA
Regilan, S., Indumathi, R., Jenitha, J., & Manoj, M. S. (2026). Enhancing the detection of visual-cognitive disruptions in automated dyslexia diagnosis using viscoelastic constitutive artificial neural networks for eye movement analysis. Documenta Ophthalmologica. https://doi.org/10.1007/s10633-026-10116-8
Source records
- crossref · retrieved 2026-11-10T10:19:12.723Z