MAF-SleepNet: A Multimodal Attention-Enhanced Fusion Network for Automatic Multi-Class Sleep Disorder Classification from Polysomnography.
- DOI
- 10.3390/diagnostics16152317
- Published
- 2026 Jul 23
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16152317,
title = {MAF-SleepNet: A Multimodal Attention-Enhanced Fusion Network for Automatic Multi-Class Sleep Disorder Classification from Polysomnography.},
author = {Yaman S and Guler H and Hafeez-Baig A},
year = {2026},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics16152317},
url = {https://doi.org/10.3390/diagnostics16152317}
}RIS
TY - JOUR TI - MAF-SleepNet: A Multimodal Attention-Enhanced Fusion Network for Automatic Multi-Class Sleep Disorder Classification from Polysomnography. AU - Yaman S AU - Guler H AU - Hafeez-Baig A PY - 2026 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics16152317 UR - https://doi.org/10.3390/diagnostics16152317 ER -
APA
S, Y., H, G., & A, H. (2026). MAF-SleepNet: A Multimodal Attention-Enhanced Fusion Network for Automatic Multi-Class Sleep Disorder Classification from Polysomnography.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16152317