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Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals

Frontiers in psychiatry, 2022-12, Vol.13, p.970993-970993

2022

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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 deep convolutional neural network for automated detection of myocardial infarction using ECG signals

Information sciences, 2017-11, Vol.415-416, p.190-198

2017

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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 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 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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Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network

Future generation computer systems, 2018-02, Vol.79, p.952-959

2018

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Automated detection of schizophrenia using nonlinear signal processing methods

Artificial intelligence in medicine, 2019-09, Vol.100, p.101698-101698, Article 101698

2019

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Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals

Applied intelligence (Dordrecht, Netherlands), 2019-01, Vol.49 (1), p.16-27

2019

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Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals

Computers in biology and medicine, 2018-03, Vol.94, p.19-26

2018

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Characterization of focal EEG signals: A review

Future generation computer systems, 2019-02, Vol.91, p.290-299

2019

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Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review

Information sciences, 2018-10, Vol.467, p.99-114

2018

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Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals

Applied sciences, 2019-07, Vol.9 (14), p.2870

2019

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Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study

Information sciences, 2017-01, Vol.377, p.17-29

2017

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Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads

Knowledge-based systems, 2016-05, Vol.99, p.146-156

2016

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Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals

Computers in biology and medicine, 2022-01, Vol.140, p.105120-105120, Article 105120

2022

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EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population

Computers in biology and medicine, 2023-09, Vol.164, p.107312-107312, Article 107312

2023

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Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science

International journal of imaging systems and technology, 2021-06, Vol.31 (2), p.455-471

2021

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Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal

Knowledge-based systems, 2017-09, Vol.132, p.156-166

2017

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Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)

Applied sciences, 2020-12, Vol.10 (24), p.8963

2020

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Automatic detection of ischemic stroke using higher order spectra features in brain MRI images

Cognitive systems research, 2019-12, Vol.58, p.134-142

2019

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Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals

Neural computing & applications, 2017-10, Vol.28 (10), p.3073-3094

2017

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Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals

Computer methods and programs in biomedicine, 2018-07, Vol.161, p.133-143

2018

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Automated detection of glaucoma using optical coherence tomography angiogram images

Computers in biology and medicine, 2019-12, Vol.115, p.103483-103483, Article 103483

2019

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Automated plaque classification using computed tomography angiography and Gabor transformations

Artificial intelligence in medicine, 2019-09, Vol.100, p.101724-101724, Article 101724

2019

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Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals

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

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

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

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

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

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network

Automated detection of schizophrenia using nonlinear signal processing methods

Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals

Characterization of focal EEG signals: A review

Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review

Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals

Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study

Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads

Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals

EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population

Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science

Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal

Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)

Automatic detection of ischemic stroke using higher order spectra features in brain MRI images

Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals

Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals

Automated detection of glaucoma using optical coherence tomography angiogram images

Automated plaque classification using computed tomography angiography and Gabor transformations

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