Arash Gharehbaghi

Orcid: 0000-0002-3413-2859

According to our database1, Arash Gharehbaghi authored at least 20 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Accuracy of a Deep Learning Method for Heart Sound Analysis is Unrealistic.
Neural Networks, February, 2023

Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search.
CoRR, 2023

Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Recurrent vs Non-Recurrent Convolutional Neural Networks for Heart Sound Classification.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022
Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021
A novel adaptive control design method for stochastic nonlinear systems using neural network.
Neural Comput. Appl., 2021

A-Test Method for Quantifying Structural Risk and Learning Capacity of Supervised Machine Learning Methods.
Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

2020
A review on deep learning methods for ECG arrhythmia classification.
Expert Syst. Appl. X, 2020

Distinguishing Septal Heart Defects from the Valvular Regurgitation Using Intelligent Phonocardiography.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019
An artificial intelligent-based model for detecting systolic pathological patterns of phonocardiogram based on time-growing neural network.
Appl. Soft Comput., 2019

An Edge Computing Method for Extracting Pathological Information from Phonocardiogram.
Proceedings of the Health Informatics Vision: From Data via Information to Knowledge, 2019

2018
A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2018

Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography.
Proceedings of the Data, 2018

2017
A signal processing algorithm for improving the performance of a gyroscopic head-borne computer mouse.
Biomed. Signal Process. Control., 2017

Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural Network.
Proceedings of the Informatics Empowers Healthcare Transformation, 2017

2016
An Intelligent Phonocardiography for Automated Screening of Pediatric Heart Diseases.
J. Medical Syst., 2016

2015
A pattern recognition framework for detecting dynamic changes on cyclic time series.
Pattern Recognit., 2015

An Internet-Based Tool for Pediatric Cardiac Disease Diagnosis Using Intelligent Phonocardiography.
Proceedings of the Internet of Things. IoT Infrastructures, 2015

2010
A novel method for pediatric heart sound segmentation without using the ECG.
Comput. Methods Programs Biomed., 2010

2008
Computerized screening of children congenital heart diseases.
Comput. Methods Programs Biomed., 2008


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