Author

W. Nogueira

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

T. Gajecki· 2 shared H. Dolhopiatenko· 1 shared Y. Zhang· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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2 shared papersBioengineering

T. Gajecki

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3 papers

Recent·Most cited

A Deep Denoising Sound Coding Strategy for Cochlear Implants

T. Gajecki, Y. Zhang, W. Nogueira

This paper proposes a deep learning-based sound coding strategy for cochlear implants that improves speech intelligibility in noisy environments.

bioRxiv · Nov 11, 2022 · PreprintBioengineering

An End-to-End Deep Learning Speech Coding and Denoising Strategy for Cochlear Implants

T. Gajecki, W. Nogueira

This paper proposes a deep learning speech denoising strategy for cochlear implants, showing improved speech intelligibility in noise compared to traditional methods.

bioRxiv · Nov 4, 2021 · PreprintBioengineering

PREDICTING SPEECH INTELLIGIBILITY FROM A SELECTIVE ATTENTION DECODING PARADIGM IN COCHLEAR IMPLANT USERS

W. Nogueira, H. Dolhopiatenko

This paper shows that selective attention decoding from EEG in cochlear implant users correlates with speech understanding, but is affected by CI artifacts and speech material.

bioRxiv · Sep 17, 2021Bioengineering