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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"

17 / 17 papers shown
Title
Deep residual networks for automatic sleep stage classification of raw
  polysomnographic waveforms
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms
A. N. Olesen
P. Jennum
P. Peppard
Emmanuel Mignot
H. Sørensen
50
26
0
08 Oct 2018
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for
  Sequence-to-Sequence Automatic Sleep Staging
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
Huy P Phan
Fernando Andreotti
Navin Cooray
Oliver Y. Chén
M. D. Vos
95
418
0
28 Sep 2018
A deep learning architecture to detect events in EEG signals during
  sleep
A deep learning architecture to detect events in EEG signals during sleep
Stanislas Chambon
Valentin Thorey
P. Arnal
Emmanuel Mignot
Alexandre Gramfort
121
41
0
11 Jul 2018
Neural network an1alysis of sleep stages enables efficient diagnosis of
  narcolepsy
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Jens B. Stephansen
A. N. Olesen
Mads Olsen
A. Ambati
E. Leary
...
C. Kushida
P. Peppard
H. Sørensen
P. Jennum
Emmanuel Mignot
58
225
0
05 Oct 2017
SLEEPNET: Automated Sleep Staging System via Deep Learning
SLEEPNET: Automated Sleep Staging System via Deep Learning
Siddharth Biswal
Joshua A. Kulas
Haoqi Sun
B. Goparaju
M. P. M. Brandon Westover
M. Bianchi
Jimeng Sun
MLAU
35
136
0
26 Jul 2017
A deep learning architecture for temporal sleep stage classification
  using multivariate and multimodal time series
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
Stanislas Chambon
M. Galtier
P. Arnal
G. Wainrib
Alexandre Gramfort
MLAU
AI4TS
61
489
0
05 Jul 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw
  Single-Channel EEG
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A. Supratak
Hao Dong
Chao Wu
Yike Guo
82
958
0
12 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
451
22,095
0
09 Dec 2016
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Hao Dong
A. Supratak
W. Pan
Chao Wu
Paul M. Matthews
Yike Guo
40
245
0
15 Oct 2016
Automatic Sleep Stage Scoring with Single-Channel EEG Using
  Convolutional Neural Networks
Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks
Orestis Tsinalis
Paul M. Matthews
Yike Guo
Stefanos Zafeiriou
47
298
0
05 Oct 2016
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
214
29,808
0
08 Dec 2015
Learning Representations from EEG with Deep Recurrent-Convolutional
  Neural Networks
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
P. Bashivan
Irina Rish
M. Yeasin
Noel Codella
58
665
0
19 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
671
36,923
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
484
62,243
0
04 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
441
43,277
0
11 Feb 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
214
8,330
0
06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
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