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SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

PloS one, 2019-05, Vol.14 (5), p.e0216456-e0216456

2019

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A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension

Pattern recognition letters, 2017-07, Vol.94, p.172-179

2017

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Automated detection of COVID-19 cases using deep neural networks with X-ray images

Computers in biology and medicine, 2020-06, Vol.121, p.103792-103792, Article 103792

2020

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Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals

Computers in biology and medicine, 2019-03, Vol.106, p.71-81

2019

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Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals

Knowledge-based systems, 2019-12, Vol.186, p.104923, Article 104923

2019

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Application of deep transfer learning for automated brain abnormality classification using MR images

Cognitive systems research, 2019-05, Vol.54, p.176-188

2019

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Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

Computers in biology and medicine, 2020-06, Vol.121, p.103795-103795, Article 103795

2020

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Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

Computers in biology and medicine, 2018-09, Vol.100, p.270-278

2018

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Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring

Applied soft computing, 2019-11, Vol.84, p.105740, Article 105740

2019

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Deep learning for healthcare applications based on physiological signals: A review

Computer methods and programs in biomedicine, 2018-07, Vol.161, p.1-13

2018

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A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals

International journal of environmental research and public health, 2019-02, Vol.16 (4), p.599

2019

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Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images

Information sciences, 2018-05, Vol.441, p.41-49

2018

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Automatic Sleep-Stage Scoring in Healthy and Sleep Disorder Patients Using Optimal Wavelet Filter Bank Technique with EEG Signals

International journal of environmental research and public health, 2021-03, Vol.18 (6), p.3087

2021

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Tetromino pattern based accurate EEG emotion classification model

Artificial intelligence in medicine, 2022-01, Vol.123, p.102210-102210, Article 102210

2022

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HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks

Computers in biology and medicine, 2020-12, Vol.127, p.104057-104057, Article 104057

2020

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Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders

European neurology, 2019, Vol.82 (1-3), p.41-64

2019

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Automated EEG-based screening of depression using deep convolutional neural network

Computer methods and programs in biomedicine, 2018-07, Vol.161, p.103-113

2018

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A novel Parkinson’s Disease Diagnosis Index using higher-order spectra features in EEG signals

Neural computing & applications, 2018-08, Vol.30 (4), p.1225-1235

2018

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Application of artificial intelligence in wearable devices: Opportunities and challenges

Computer methods and programs in biomedicine, 2022-01, Vol.213, p.106541-106541, Article 106541

2022

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Automated detection of focal EEG signals using features extracted from flexible analytic wavelet transform

Pattern recognition letters, 2017-07, Vol.94, p.180-188

2017

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A new approach for arrhythmia classification using deep coded features and LSTM networks

Computer methods and programs in biomedicine, 2019-07, Vol.176, p.121-133

2019

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Accurate tunable-Q wavelet transform based method for QRS complex detection

Computers & electrical engineering, 2019-05, Vol.75, p.101-111

2019

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MMSFL-OWFB: A novel class of orthogonal wavelet filters for epileptic seizure detection

Knowledge-based systems, 2018-11, Vol.160, p.265-277

2018

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DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

Information sciences, 2020-04, Vol.516, p.401-418

2020

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A deep learning approach for Parkinson’s disease diagnosis from EEG signals

Neural computing & applications, 2020-08, Vol.32 (15), p.10927-10933

2020

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SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension

Automated detection of COVID-19 cases using deep neural networks with X-ray images

Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals

Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals

Application of deep transfer learning for automated brain abnormality classification using MR images

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring

Deep learning for healthcare applications based on physiological signals: A review

A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals

Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images

Automatic Sleep-Stage Scoring in Healthy and Sleep Disorder Patients Using Optimal Wavelet Filter Bank Technique with EEG Signals

Tetromino pattern based accurate EEG emotion classification model

HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks

Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders

Automated EEG-based screening of depression using deep convolutional neural network

A novel Parkinson’s Disease Diagnosis Index using higher-order spectra features in EEG signals

Application of artificial intelligence in wearable devices: Opportunities and challenges

Automated detection of focal EEG signals using features extracted from flexible analytic wavelet transform

A new approach for arrhythmia classification using deep coded features and LSTM networks

Accurate tunable-Q wavelet transform based method for QRS complex detection

MMSFL-OWFB: A novel class of orthogonal wavelet filters for epileptic seizure detection

DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

A deep learning approach for Parkinson’s disease diagnosis from EEG signals

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