Hossain, M.S.; Mahmud, S.; Khandakar, A.; Al-Emadi, N.; Chowdhury, F.A.; Mahbub, Z.B.; Reaz, M.B.I.; Chowdhury, M.E.H.
MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. Bioengineering 2023, 10, 579.
https://doi.org/10.3390/bioengineering10050579
AMA Style
Hossain MS, Mahmud S, Khandakar A, Al-Emadi N, Chowdhury FA, Mahbub ZB, Reaz MBI, Chowdhury MEH.
MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. Bioengineering. 2023; 10(5):579.
https://doi.org/10.3390/bioengineering10050579
Chicago/Turabian Style
Hossain, Md Shafayet, Sakib Mahmud, Amith Khandakar, Nasser Al-Emadi, Farhana Ahmed Chowdhury, Zaid Bin Mahbub, Mamun Bin Ibne Reaz, and Muhammad E. H. Chowdhury.
2023. "MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals" Bioengineering 10, no. 5: 579.
https://doi.org/10.3390/bioengineering10050579
APA Style
Hossain, M. S., Mahmud, S., Khandakar, A., Al-Emadi, N., Chowdhury, F. A., Mahbub, Z. B., Reaz, M. B. I., & Chowdhury, M. E. H.
(2023). MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. Bioengineering, 10(5), 579.
https://doi.org/10.3390/bioengineering10050579
