Lightweight Multimodal Deep Learning Framework for Cerebellar Ataxia Detection Using an MLP Encoder and Hybrid Optimizer.
- DOI
- 10.1177/00315125261501241
- Published
- 2026 Oct 24
- Container
- Perceptual and motor skills
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1177/00315125261501241,
title = {Lightweight Multimodal Deep Learning Framework for Cerebellar Ataxia Detection Using an MLP Encoder and Hybrid Optimizer.},
author = {A N and V S},
year = {2026},
journal = {Perceptual and motor skills},
doi = {10.1177/00315125261501241},
url = {https://doi.org/10.1177/00315125261501241}
}RIS
TY - JOUR TI - Lightweight Multimodal Deep Learning Framework for Cerebellar Ataxia Detection Using an MLP Encoder and Hybrid Optimizer. AU - A N AU - V S PY - 2026 JO - Perceptual and motor skills DO - 10.1177/00315125261501241 UR - https://doi.org/10.1177/00315125261501241 ER -
APA
N, A., & S, V. (2026). Lightweight Multimodal Deep Learning Framework for Cerebellar Ataxia Detection Using an MLP Encoder and Hybrid Optimizer.. Perceptual and motor skills. https://doi.org/10.1177/00315125261501241
Source records
- pubmed · retrieved 2026-11-10T18:59:46.637Z
- europe-pmc · retrieved 2026-11-10T18:59:46.652Z