U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging-Reference-Cited by-同舟云学术

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U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging

Published:2024-03 Issue: Volume:171 Page:108205
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Heremans Elisabeth R.M.^ORCID,Seedat Nabeel,Buyse Bertien,Testelmans Dries^ORCID,van der Schaar Mihaela,De Vos Maarten^ORCID

Funder

Cystic Fibrosis Trust

Government of Flanders

Fonds Wetenschappelijk Onderzoek

Vlaamse regering

Publisher

Elsevier BV

Reference51 articles.

1. Intelligent health care: Applications of deep learning in computational medicine;Yang;Front. Genet.,2021

2. Medical deep learning—A systematic meta-review;Egger;Comput. Methods Programs Biomed.,2022

3. SeqSleepNet: End-to-end hierarchical recurrent neural network for sequence-to-sequence automatic sleep staging;Phan;IEEE Trans. Neural Syst. Rehabil. Eng.,2018

4. XSleepNet: Multi-view sequential model for automatic sleep staging;Phan;IEEE Trans. Pattern Anal. Mach. Intell.,2020

5. RobustSleepNet: Transfer learning for automated sleep staging at scale;Guillot;IEEE Trans. Neural Syst. Rehabil. Eng.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated remote sleep monitoring needs uncertainty quantification;Journal of Sleep Research;2024-08-07

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