Arash Gharehbaghi

23 papers Journal 14Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A review on generative AI models for synthetic medical text, time series, and longitudinal data.
npj Digit. Medicine
Mohammad Loni, Fatemeh Poursalim, Mehdi Asadi, Arash Gharehbaghi
2024 J jnl
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data.
CoRR
Mohammad Loni, Fatemeh Poursalim, Mehdi Asadi, Arash Gharehbaghi
2024 J jnl
A review on deep learning methods for heart sound signal analysis.
Frontiers Artif. Intell.
Elaheh Partovi, Ankica Babic, Arash Gharehbaghi
2023 J jnl
Accuracy of a Deep Learning Method for Heart Sound Analysis is Unrealistic.
Neural Networks
Arash Gharehbaghi, Elaheh Partovi
2023 J jnl
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search.
CoRR
Mehdi Asadi, Fatemeh Poursalim, Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin, Arash Gharehbaghi
2023 — conf
Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification.
MIE
Arash Gharehbaghi, Elaheh Partovi, Ankica Babic
2023 — conf
Recurrent vs Non-Recurrent Convolutional Neural Networks for Heart Sound Classification.
ICIMTH
Arash Gharehbaghi, Elaheh Partovi, Ankica Babic
2022 — conf
Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography.
ICIMTH
Arash Gharehbaghi, Ankica Babic
2021 J jnl
A novel adaptive control design method for stochastic nonlinear systems using neural network.
Neural Comput. Appl.
Mohammad Mahdi Aghajary, Arash Gharehbaghi
2021 — conf
A-Test Method for Quantifying Structural Risk and Learning Capacity of Supervised Machine Learning Methods.
ICIMTH
Arash Gharehbaghi, Ankica Babic
2020 J jnl
A review on deep learning methods for ECG arrhythmia classification.
Expert Syst. Appl. X
Zahra Ebrahimi, Mohammad Loni, Masoud Daneshtalab, Arash Gharehbaghi
2020 — conf
Distinguishing Septal Heart Defects from the Valvular Regurgitation Using Intelligent Phonocardiography.
MIE
Arash Gharehbaghi, Amir A. Sepehri, Ankica Babic
2019 — conf
An Edge Computing Method for Extracting Pathological Information from Phonocardiogram.
ICIMTH
Arash Gharehbaghi, Amir A. Sepehri, Ankica Babic
2019 J jnl
An artificial intelligent-based model for detecting systolic pathological patterns of phonocardiogram based on time-growing neural network.
Appl. Soft Comput.
Arash Gharehbaghi, Maria Lindén, Ankica Babic
2018 J jnl
A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Arash Gharehbaghi, Maria Lindén
2018 — conf
Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography.
ICIMTH
Arash Gharehbaghi, Ankica Babic
2017 J jnl
A signal processing algorithm for improving the performance of a gyroscopic head-borne computer mouse.
Biomed. Signal Process. Control.
Jiaying Du, Christer Gerdtman, Arash Gharehbaghi, Maria Lindén
2017 — conf
Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural Network.
ICIMTH
Arash Gharehbaghi, Amir A. Sepehri, Maria Lindén, Ankica Babic
2016 J jnl
An Intelligent Phonocardiography for Automated Screening of Pediatric Heart Diseases.
J. Medical Syst.
Amir A. Sepehri, Armen Kocharian, Azin S. Janani, Arash Gharehbaghi
2015 J jnl
A pattern recognition framework for detecting dynamic changes on cyclic time series.
Pattern Recognit.
Arash Gharehbaghi, Per Ask, Ankica Babic
2015 — conf
An Internet-Based Tool for Pediatric Cardiac Disease Diagnosis Using Intelligent Phonocardiography.
IoT 360 (1)
Arash Gharehbaghi, Maria Lindén
2010 J jnl
A novel method for pediatric heart sound segmentation without using the ECG.
Comput. Methods Programs Biomed.
Amir A. Sepehri, Arash Gharehbaghi, Thierry Dutoit, Armen Kocharian, Abdolrazagh Kiani
2008 J jnl
Computerized screening of children congenital heart diseases.
Comput. Methods Programs Biomed.
Amir A. Sepehri, Joel Hancq, Thierry Dutoit, Arash Gharehbaghi, Armen Kocharian, Abdolrazagh Kiani