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Deep learning-based electroencephalography analysis: a systematic review

Deep learning-based electroencephalography analysis: a systematic review

16 January 2019
Yannick Roy
Hubert J. Banville
Isabela Albuquerque
Alexandre Gramfort
T. Falk
J. Faubert
ArXivPDFHTML

Papers citing "Deep learning-based electroencephalography analysis: a systematic review"

30 / 30 papers shown
Title
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Yifei Zhou
Sitong Liu
41
0
0
09 Aug 2024
Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI
  Applications
Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications
Zhou Zhou
Guohang He
Zheng Zhang
Luziwei Leng
Qinghai Guo
Jianxing Liao
Xuan Song
Ran Cheng
47
2
0
08 Jun 2024
CausalConceptTS: Causal Attributions for Time Series Classification
  using High Fidelity Diffusion Models
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models
Juan Miguel Lopez Alcaraz
Nils Strodthoff
DiffM
AI4TS
CML
29
2
0
24 May 2024
Decoding Continuous Character-based Language from Non-invasive Brain
  Recordings
Decoding Continuous Character-based Language from Non-invasive Brain Recordings
Cenyuan Zhang
Xiaoqing Zheng
Ruicheng Yin
Shujie Geng
Jianhan Xu
...
Changze Lv
Zixuan Ling
Xuanjing Huang
Miao Cao
Jianfeng Feng
38
0
0
17 Mar 2024
Two Heads are Better than One: A Bio-inspired Method for Improving
  Classification on EEG-ET Data
Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data
Eric Modesitt
Ruiqi Yang
Qi Liu
18
3
0
25 Mar 2023
Partial Label Learning for Emotion Recognition from EEG
Partial Label Learning for Emotion Recognition from EEG
Guangyi Zhang
Ali Etemad
49
2
0
25 Feb 2023
Subject-Independent Classification of Brain Signals using Skip
  Connections
Subject-Independent Classification of Brain Signals using Skip Connections
Soowon Kim
Ji-Won Lee
Young-Eun Lee
Seo-Hyun Lee
11
0
0
19 Jan 2023
Functional Neural Networks: Shift invariant models for functional data
  with applications to EEG classification
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
Florian Heinrichs
Mavin Heim
Corinna Weber
OOD
30
7
0
14 Jan 2023
Emotion Recognition With Temporarily Localized Émotional Events' in
  Naturalistic Context
Emotion Recognition With Temporarily Localized Émotional Events' in Naturalistic Context
Mohammad Asif
Sudhakar Mishra
Majithia Tejas Vinodbhai
U. Tiwary
9
1
0
25 Oct 2022
Decoding speech perception from non-invasive brain recordings
Decoding speech perception from non-invasive brain recordings
Alexandre Défossez
Charlotte Caucheteux
Jérémy Rapin
Ori Kabeli
J. King
35
116
0
25 Aug 2022
Convolutional Neural Networks with A Topographic Representation Module
  for EEG-Based Brain-Computer Interfaces
Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces
Xinbin Liang
Yaru Liu
Yang Yu
Kaixuan Liu
Yadong Liu
Zongtan Zhou
13
0
0
23 Aug 2022
BrainActivity1: A Framework of EEG Data Collection and Machine Learning
  Analysis for College Students
BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Students
Zheng Zhou
Guangyao Dou
Xiaodong Qu
21
12
0
27 Jul 2022
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
Guangyao Dou
Zheng Zhou
Xiaodong Qu
28
17
0
26 Jul 2022
A streamable large-scale clinical EEG dataset for Deep Learning
A streamable large-scale clinical EEG dataset for Deep Learning
Dung Truong
Manisha Sinha
K. Venkataraju
M. Milham
Arnaud Delorme
24
4
0
04 Mar 2022
Bridging the Gap Between Patient-specific and Patient-independent
  Seizure Prediction via Knowledge Distillation
Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation
Di Wu
Jie Yang
Mohamad Sawan
FedML
42
21
0
25 Feb 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and
  Meta-analysis
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis
Yutong Chen
Carola-Bibiane Schönlieb
Pietro Lio'
T. Leiner
P. Dragotti
Ge Wang
Daniel Rueckert
D. Firmin
Guang Yang
30
87
0
23 Dec 2021
Subject-Independent Drowsiness Recognition from Single-Channel EEG with
  an Interpretable CNN-LSTM model
Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model
Jian Cui
Zirui Lan
Tianhu Zheng
Yisi Liu
O. Sourina
Lipo P. Wang
W. Müller-Wittig
13
16
0
21 Nov 2021
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges,
  and Future Directions
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions
Huy P Phan
Kaare B. Mikkelsen
19
93
0
03 Nov 2021
Decoding ECoG signal into 3D hand translation using deep learning
Decoding ECoG signal into 3D hand translation using deep learning
Maciej Śliwowski
Matthieu Martin
Antoine Souloumiac
P. Blanchart
T. Aksenova
20
27
0
05 Oct 2021
GANSER: A Self-supervised Data Augmentation Framework for EEG-based
  Emotion Recognition
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition
Zhi Zhang
S. Zhong
Yong Liu
27
62
0
07 Sep 2021
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli
  Classification
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification
Subhranil Bagchi
Deepti R. Bathula
ViT
21
10
0
08 Jul 2021
Deep Convolutional Neural Network Applied to Electroencephalography: Raw
  Data vs Spectral Features
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features
Dung Truong
M. Milham
S. Makeig
Arnaud Delorme
12
12
0
11 May 2021
End-to-end learnable EEG channel selection for deep neural networks with
  Gumbel-softmax
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax
Thomas Strypsteen
Alexander Bertrand
33
50
0
11 Feb 2021
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
41
202
0
28 Jan 2021
Automatic detection of abnormal EEG signals using wavelet feature
  extraction and gradient boosting decision tree
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
H. Albaqami
Ghulam Mubashar Hassan
A. Subasi
A. Datta
18
68
0
18 Dec 2020
Predicting the Transition from Short-term to Long-term Memory based on
  Deep Neural Network
Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network
Gi-Hwan Shin
Young-Seok Kweon
Minji Lee
8
2
0
07 Dec 2020
Machine-Learning-Based Diagnostics of EEG Pathology
Machine-Learning-Based Diagnostics of EEG Pathology
Lukas A. W. Gemein
R. Schirrmeister
P. Chrabaszcz
Daniel Wilson
Joschka Boedecker
A. Schulze-Bonhage
Frank Hutter
T. Ball
22
153
0
11 Feb 2020
A few filters are enough: Convolutional Neural Network for P300
  Detection
A few filters are enough: Convolutional Neural Network for P300 Detection
Alicia Montserrat Alvarado-González
Gibran Fuentes Pineda
J. Cervantes-Ojeda
9
17
0
16 Sep 2019
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Huy P Phan
Oliver Y. Chén
P. Koch
Zongqing Lu
Ian Mcloughlin
Alfred Mertins
M. D. Vos
29
116
0
30 Jul 2019
Signal2Image Modules in Deep Neural Networks for EEG Classification
Signal2Image Modules in Deep Neural Networks for EEG Classification
Paschalis A. Bizopoulos
G. Lambrou
D. Koutsouris
17
30
0
18 Apr 2019
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