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Arrhythmia detection using deep convolutional neural network with long duration ECG signals

Computers in biology and medicine, 2018-11, Vol.102, p.411-420

2018

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Reactive Oxygen Species Scavenging Nanomedicine for the Treatment of Ischemic Heart Disease

Advanced materials (Weinheim), 2022-09, Vol.34 (35), p.e2202169-n/a

2022

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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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Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals

Computers in biology and medicine, 2022-07, Vol.146, p.105550-105550, Article 105550

2022

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Myocardial Viability and Long-Term Outcomes in Ischemic Cardiomyopathy

The New England journal of medicine, 2019-08, Vol.381 (8), p.739-748

2019

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An efficient compression of ECG signals using deep convolutional autoencoders

Cognitive systems research, 2018-12, Vol.52, p.198-211

2018

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β-blockers are not all the same: pharmacologic similarities and differences, potential combinations and clinical implications

Current medical research and opinion, 2024, Vol.40 (sup1), p.15-23

2024

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Uncertainty quantification in DenseNet model using myocardial infarction ECG signals

Computer methods and programs in biomedicine, 2023-02, Vol.229, p.107308-107308, Article 107308

2023

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Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals

Information sciences, 2021-07, Vol.565, p.91-104

2021

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A new machine learning technique for an accurate diagnosis of coronary artery disease

Computer methods and programs in biomedicine, 2019-10, Vol.179, p.104992-104992, Article 104992

2019

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Integrated analyses for identification of a three‐gene signature associated with Chaihu Shugan San formula for hepatocellular carcinoma treatment

Journal of cellular and molecular medicine, 2024-04, Vol.28 (8), p.e18211-n/a

2024

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Automated detection of atrial fibrillation using long short-term memory network with RR interval signals

Computers in biology and medicine, 2018-11, Vol.102, p.327-335

2018

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Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection

Computers in biology and medicine, 2022-04, Vol.143, p.105335-105335, Article 105335

2022

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Intracardiac 4D Flow MRI in Congenital Heart Disease: Recommendations on Behalf of the ISMRM Flow & Motion Study Group

Journal of magnetic resonance imaging, 2019-09, Vol.50 (3), p.677-681

2019

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Molten salt synthesis of a highly crystalline graphitic carbon nitride homojunction from a deep eutectic solvent for selective photocatalytic oxidation

Journal of materials chemistry. A, Materials for energy and sustainability, 2023-06, Vol.11 (23), p.12342-12353

2023

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Heart rate variability for medical decision support systems: A review

Computers in biology and medicine, 2022-06, Vol.145, p.105407-105407, Article 105407

2022

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Prevalence and correlates of coronary microvascular dysfunction in heart failure with preserved ejection fraction: PROMIS-HFpEF

European heart journal, 2018-10, Vol.39 (37), p.3439-3450

2018

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Review of Deep Learning-Based Atrial Fibrillation Detection Studies

International journal of environmental research and public health, 2021-10, Vol.18 (21), p.11302

2021

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Validation of a rapid semi-automated method to assess left atrial longitudinal phasic strains on cine cardiovascular magnetic resonance imaging

Journal of cardiovascular magnetic resonance, 2018-11, Vol.20 (1), p.71-71, Article 71

2018

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Research on Monte Carlo simulation of CAT III auto-landing system

Journal of physics. Conference series, 2023-07, Vol.2551 (1), p.12003

2023

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A porous Anderson-type polyoxometalate-based metal-organic framework as a multifunctional platform for selective oxidative coupling with amines

Dalton transactions : an international journal of inorganic chemistry, 2023-11, Vol.52 (45), p.1719-1729

2023

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Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features

Computers in biology and medicine, 2019-12, Vol.115, p.103446-103446, Article 103446

2019

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Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach

Pattern recognition letters, 2020-05, Vol.133, p.33-40

2020

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Classification of heart sound signals using a novel deep WaveNet model

Computer methods and programs in biomedicine, 2020-11, Vol.196, p.105604-105604, Article 105604

2020

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Automated accurate detection of depression using twin Pascal’s triangles lattice pattern with EEG Signals

Knowledge-based systems, 2023-01, Vol.260, p.110190, Article 110190

2023

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1 – 25 von 2.328

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Arrhythmia detection using deep convolutional neural network with long duration ECG signals

Reactive Oxygen Species Scavenging Nanomedicine for the Treatment of Ischemic Heart Disease

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

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals

Myocardial Viability and Long-Term Outcomes in Ischemic Cardiomyopathy

An efficient compression of ECG signals using deep convolutional autoencoders

β-blockers are not all the same: pharmacologic similarities and differences, potential combinations and clinical implications

Uncertainty quantification in DenseNet model using myocardial infarction ECG signals

Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals

A new machine learning technique for an accurate diagnosis of coronary artery disease

Integrated analyses for identification of a three‐gene signature associated with Chaihu Shugan San formula for hepatocellular carcinoma treatment

Automated detection of atrial fibrillation using long short-term memory network with RR interval signals

Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection

Intracardiac 4D Flow MRI in Congenital Heart Disease: Recommendations on Behalf of the ISMRM Flow & Motion Study Group

Molten salt synthesis of a highly crystalline graphitic carbon nitride homojunction from a deep eutectic solvent for selective photocatalytic oxidation

Heart rate variability for medical decision support systems: A review

Prevalence and correlates of coronary microvascular dysfunction in heart failure with preserved ejection fraction: PROMIS-HFpEF

Review of Deep Learning-Based Atrial Fibrillation Detection Studies

Validation of a rapid semi-automated method to assess left atrial longitudinal phasic strains on cine cardiovascular magnetic resonance imaging

Research on Monte Carlo simulation of CAT III auto-landing system

A porous Anderson-type polyoxometalate-based metal-organic framework as a multifunctional platform for selective oxidative coupling with amines

Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach

Classification of heart sound signals using a novel deep WaveNet model

Automated accurate detection of depression using twin Pascal’s triangles lattice pattern with EEG Signals

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