EVF-FaNOA: An optimized EFFResNet-ViT deep learning framework for autism spectrum disorder detection using magnetic resonance imaging.
- DOI
- 10.1016/j.pscychresns.2026.112317
- Published
- 2026 Sep 4
- Container
- Psychiatry research. Neuroimaging
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.pscychresns.2026.112317,
title = {EVF-FaNOA: An optimized EFFResNet-ViT deep learning framework for autism spectrum disorder detection using magnetic resonance imaging.},
author = {S J and Gomathi RM},
year = {2026},
journal = {Psychiatry research. Neuroimaging},
doi = {10.1016/j.pscychresns.2026.112317},
url = {https://doi.org/10.1016/j.pscychresns.2026.112317}
}RIS
TY - JOUR TI - EVF-FaNOA: An optimized EFFResNet-ViT deep learning framework for autism spectrum disorder detection using magnetic resonance imaging. AU - S J AU - Gomathi RM PY - 2026 JO - Psychiatry research. Neuroimaging DO - 10.1016/j.pscychresns.2026.112317 UR - https://doi.org/10.1016/j.pscychresns.2026.112317 ER -
APA
J, S., & RM, G. (2026). EVF-FaNOA: An optimized EFFResNet-ViT deep learning framework for autism spectrum disorder detection using magnetic resonance imaging.. Psychiatry research. Neuroimaging. https://doi.org/10.1016/j.pscychresns.2026.112317
Source records
- pubmed · retrieved 2026-09-25T17:25:35.521Z