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Deep learning for epileptogenic zone delineation from the invasive EEG: challenges and lookouts
This scientific commentary refers to ‘Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach’ by Zhang et al. (https://doi.org/10.1093/braincomms/fcab267).
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833315/ https://www.ncbi.nlm.nih.gov/pubmed/35169704 http://dx.doi.org/10.1093/braincomms/fcab307 |
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author | Hoogteijling, Sem Zijlmans, Maeike |
author_facet | Hoogteijling, Sem Zijlmans, Maeike |
author_sort | Hoogteijling, Sem |
collection | PubMed |
description | This scientific commentary refers to ‘Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach’ by Zhang et al. (https://doi.org/10.1093/braincomms/fcab267). |
format | Online Article Text |
id | pubmed-8833315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88333152022-02-14 Deep learning for epileptogenic zone delineation from the invasive EEG: challenges and lookouts Hoogteijling, Sem Zijlmans, Maeike Brain Commun Scientific Commentary This scientific commentary refers to ‘Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach’ by Zhang et al. (https://doi.org/10.1093/braincomms/fcab267). Oxford University Press 2021-12-27 /pmc/articles/PMC8833315/ /pubmed/35169704 http://dx.doi.org/10.1093/braincomms/fcab307 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Scientific Commentary Hoogteijling, Sem Zijlmans, Maeike Deep learning for epileptogenic zone delineation from the invasive EEG: challenges and lookouts |
title | Deep learning for epileptogenic zone delineation from the invasive EEG: challenges and lookouts |
title_full | Deep learning for epileptogenic zone delineation from the invasive EEG: challenges and lookouts |
title_fullStr | Deep learning for epileptogenic zone delineation from the invasive EEG: challenges and lookouts |
title_full_unstemmed | Deep learning for epileptogenic zone delineation from the invasive EEG: challenges and lookouts |
title_short | Deep learning for epileptogenic zone delineation from the invasive EEG: challenges and lookouts |
title_sort | deep learning for epileptogenic zone delineation from the invasive eeg: challenges and lookouts |
topic | Scientific Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833315/ https://www.ncbi.nlm.nih.gov/pubmed/35169704 http://dx.doi.org/10.1093/braincomms/fcab307 |
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