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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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Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals

Entropy (Basel, Switzerland), 2015-02, Vol.17 (2), p.669-691

2015

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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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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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An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures

Entropy (Basel, Switzerland), 2015, Vol.17 (8), p.5218-5240

2015

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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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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 Diagnosis of Myocardial Infarction ECG Signals Using Sample Entropy in Flexible Analytic Wavelet Transform Framework

Entropy (Basel, Switzerland), 2017-09, Vol.19 (9), p.488

2017

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Automated seizure prediction

Epilepsy & behavior, 2018-11, Vol.88, p.251-261

2018

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Classification of myocardial infarction with multi-lead ECG signals and deep CNN

Pattern recognition letters, 2019-05, Vol.122, p.23-30

2019

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Automated detection of abnormal EEG signals using localized wavelet filter banks

Pattern recognition letters, 2020-05, Vol.133, p.188-194

2020

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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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Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

Computer methods and programs in biomedicine, 2022-11, Vol.226, p.107161-107161, Article 107161

2022

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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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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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Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals

Applied sciences, 2017-04, Vol.7 (4), p.385

2017

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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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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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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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Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images

Pattern recognition letters, 2020-05, Vol.133, p.232-239

2020

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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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Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques

Knowledge-based systems, 2021-01, Vol.211, p.106547, Article 106547

2021

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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

Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals

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

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

An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures

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

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

Automated Diagnosis of Myocardial Infarction ECG Signals Using Sample Entropy in Flexible Analytic Wavelet Transform Framework

Automated seizure prediction

Classification of myocardial infarction with multi-lead ECG signals and deep CNN

Automated detection of abnormal EEG signals using localized wavelet filter banks

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

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

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

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

Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals

Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders

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

Tetromino pattern based accurate EEG emotion classification model

Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images

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

Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques

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