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DOSED: a deep learning approach to detect multiple sleep micro-events in
  EEG signal

DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal

7 December 2018
Stanislas Chambon
Valentin Thorey
P. Arnal
Emmanuel Mignot
Alexandre Gramfort
ArXivPDFHTML

Papers citing "DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal"

12 / 12 papers shown
Title
From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis
From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis
Niklas Grieger
S. Mehrkanoon
P. Ritter
Stephan Bialonski
29
0
0
08 May 2025
Unveil Sleep Spindles with Concentration of Frequency and Time
Unveil Sleep Spindles with Concentration of Frequency and Time
Riki Shimizu
Hau-tieng Wu
11
0
0
27 Oct 2023
Avoiding Post-Processing with Event-Based Detection in Biomedical
  Signals
Avoiding Post-Processing with Event-Based Detection in Biomedical Signals
N. Seeuws
Marina De Vos
Alexander Bertrand
11
2
0
22 Sep 2022
Advanced sleep spindle identification with neural networks
Advanced sleep spindle identification with neural networks
L. Kaulen
J. Schwabedal
Jules Schneider
P. Ritter
Stephan Bialonski
9
24
0
06 Feb 2022
Self-supervised Contrastive Learning for EEG-based Sleep Staging
Self-supervised Contrastive Learning for EEG-based Sleep Staging
Xue Jiang
Jianhui Zhao
Bo Du
Zhiyong Yuan
8
61
0
16 Sep 2021
MSED: a multi-modal sleep event detection model for clinical sleep
  analysis
MSED: a multi-modal sleep event detection model for clinical sleep analysis
Alexander Neergaard Zahid
P. Jennum
Emmanuel Mignot
H. Sørensen
35
10
0
07 Jan 2021
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong
Kaibo Xing
A. Cichocki
Junhua Li
VLM
32
64
0
22 Nov 2020
Automatic sleep stage classification with deep residual networks in a
  mixed-cohort setting
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting
A. N. Olesen
P. Jennum
Emmanuel Mignot
H. Sørensen
23
65
0
21 Aug 2020
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection
Nicolás I. Tapia
P. Estévez
14
13
0
15 May 2020
Deep transfer learning for improving single-EEG arousal detection
Deep transfer learning for improving single-EEG arousal detection
A. N. Olesen
P. Jennum
Emmanuel Mignot
H. Sørensen
13
12
0
10 Apr 2020
AI vs Humans for the diagnosis of sleep apnea
AI vs Humans for the diagnosis of sleep apnea
Valentin Thorey
A. B. Hernández
P. Arnal
E. During
20
21
0
20 Jun 2019
Towards a Flexible Deep Learning Method for Automatic Detection of
  Clinically Relevant Multi-Modal Events in the Polysomnogram
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram
A. N. Olesen
Stanislas Chambon
Valentin Thorey
P. Jennum
Emmanuel Mignot
H. Sørensen
26
7
0
16 May 2019
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