Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network

Classification of motor imagery electroencephalography signals using continuous small convolutional neural network

(2020) Yuying Rong et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Parkinson’s Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer

(2020) Rafael Anicet Zanini et al.   SENSORS

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges

(2019) Natasha Padfield et al.   SENSORS

EEG Classification of Motor Imagery Using a Novel Deep Learning Framework

(2019) Mengxi Dai et al.   SENSORS

Deep learning for Electroencephalogram (EEG) classification tasks: A review

(2019) Alexander Craik et al.   Journal of Neural Engineering

Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences

(2019) Carlos R. Ponce et al.   CELL

Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals

(2019) Nitesh Singh Malan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Generative adversarial networks for data augmentation in machine fault diagnosis

(2019) Siyu Shao et al.   COMPUTERS IN INDUSTRY

Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods

(2019) Ikhtiyor Majidov et al.   SENSORS

Deep leaf‐bootstrapping generative adversarial network for structural image data augmentation

(2019) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Convolutional Neural Network Based Approach Towards Motor Imagery Tasks EEG Signals Classification

(2019) Shalu Chaudhary et al.   IEEE SENSORS JOURNAL

A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding

(2019) Yang Li et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Deep learning-based electroencephalography analysis: a systematic review

(2019) Yannick Roy et al.   Journal of Neural Engineering

Quadcopter Flight Control Using a Non-invasive Multi-Modal Brain Computer Interface

(2019) Xu Duan et al.   Frontiers in Neurorobotics

HS-CNN: A CNN with hybrid convolution scale for EEG motor imagery classification

(2019) Guanghai Dai et al.   Journal of Neural Engineering

Data augmentation for self-paced motor imagery classification with C-LSTM

(2019) Daniel Freer et al.   Journal of Neural Engineering

EEGNet: a compact convolutional neural network for EEG-based brain--computer interfaces

(2018) Vernon Lawhern et al.   Journal of Neural Engineering

Effects of tDCS on Real-Time BCI Detection of Pedaling Motor Imagery

(2018) et al.   SENSORS

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

(2018) Maayan Frid-Adar et al.   NEUROCOMPUTING

Deep learning with convolutional neural networks for EEG decoding and visualization

(2017) Robin Tibor Schirrmeister et al.   HUMAN BRAIN MAPPING

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

(2017) Justin Salamon et al.   IEEE SIGNAL PROCESSING LETTERS

Smart Augmentation Learning an Optimal Data Augmentation Strategy

(2017) Joseph Lemley et al.   IEEE Access

Provision of somatosensory inputs during motor imagery enhances learning-induced plasticity in human motor cortex

(2017) Gaia Bonassi et al.   Scientific Reports

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

(2016) Arnaud Arindra Adiyoso Setio et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

(2016) Alexey Dosovitskiy et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A novel deep learning approach for classification of EEG motor imagery signals

(2016) Yousef Rezaei Tabar et al.   Journal of Neural Engineering

Sensorimotor Modulation Assessment and Brain-Computer Interface Training in Disorders of Consciousness

(2015) Damien Coyle et al.   ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION

An Adaptive Spatial Filter for User-Independent Single Trial Detection of Event-Related Potentials

(2015) Hendrik Woehrle et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Brain–Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives

(2014) Han Yuan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Brain Computer Interfaces, a Review

(2012) Luis Fernando Nicolas-Alonso et al.   SENSORS

Review of motor and phantom-related imagery

(2011) William S. Anderson et al.   NEUROREPORT

Cognitive motor processes: The role of motor imagery in the study of motor representations

(2009) Jörn Munzert et al.   BRAIN RESEARCH REVIEWS

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

(2009) J.D. Rodriguez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

EEG-Based Classification of Motor Imagery Tasks Using Fractal Dimension and Neural Network for Brain-Computer Interface

(2008) M. PHOTHISONOTHAI et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS