Arash Gharehbaghi

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 16

Top Topics

Machine Learning

Top Venues

Pattern Recognit.

Biomed. Signal Process. Control.

Publications

Arash Gharehbaghi, Elaheh Partovi
Accuracy of a Deep Learning Method for Heart Sound Analysis is Unrealistic. Neural Networks 159 (2023)
Arash Gharehbaghi, Elaheh Partovi, Ankica Babic
Recurrent vs Non-Recurrent Convolutional Neural Networks for Heart Sound Classification. ICIMTH (2023)
Mehdi Asadi, Fatemeh Poursalim, Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin, Arash Gharehbaghi
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search. CoRR (2023)
Arash Gharehbaghi, Elaheh Partovi, Ankica Babic
Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification. MIE (2023)
Arash Gharehbaghi, Ankica Babic
Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography. ICIMTH (2022)
Arash Gharehbaghi, Ankica Babic
A-Test Method for Quantifying Structural Risk and Learning Capacity of Supervised Machine Learning Methods. ICIMTH (2021)
Mohammad Mahdi Aghajary, Arash Gharehbaghi
A novel adaptive control design method for stochastic nonlinear systems using neural network. Neural Comput. Appl. 33 (15) (2021)
Zahra Ebrahimi, Mohammad Loni, Masoud Daneshtalab, Arash Gharehbaghi
A review on deep learning methods for ECG arrhythmia classification. Expert Syst. Appl. X 7 (2020)
Arash Gharehbaghi, Amir A. Sepehri, Ankica Babic
Distinguishing Septal Heart Defects from the Valvular Regurgitation Using Intelligent Phonocardiography. MIE (2020)
Arash Gharehbaghi, Amir A. Sepehri, Ankica Babic
An Edge Computing Method for Extracting Pathological Information from Phonocardiogram. ICIMTH (2019)
Arash Gharehbaghi, Maria Lindén, Ankica Babic
An artificial intelligent-based model for detecting systolic pathological patterns of phonocardiogram based on time-growing neural network. Appl. Soft Comput. 83 (2019)
Arash Gharehbaghi, Maria Lindén
A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Arash Gharehbaghi, Ankica Babic
Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography. ICIMTH (2018)
Jiaying Du, Christer Gerdtman, Arash Gharehbaghi, Maria Lindén
A signal processing algorithm for improving the performance of a gyroscopic head-borne computer mouse. Biomed. Signal Process. Control. 35 (2017)
Arash Gharehbaghi, Amir A. Sepehri, Maria Lindén, Ankica Babic
Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural Network. ICIMTH (2017)
Amir A. Sepehri, Armen Kocharian, Azin Janani, Arash Gharehbaghi
An Intelligent Phonocardiography for Automated Screening of Pediatric Heart Diseases. J. Medical Syst. 40 (1) (2016)
Arash Gharehbaghi, Maria Lindén
An Internet-Based Tool for Pediatric Cardiac Disease Diagnosis Using Intelligent Phonocardiography. IoT 360 (1) (2015)
Arash Gharehbaghi, Per Ask, Ankica Babic
A pattern recognition framework for detecting dynamic changes on cyclic time series. Pattern Recognit. 48 (3) (2015)
Amir A. Sepehri, Arash Gharehbaghi, Thierry Dutoit, Armen Kocharian, A. Kiani
A novel method for pediatric heart sound segmentation without using the ECG. Comput. Methods Programs Biomed. 99 (1) (2010)
Amir A. Sepehri, Joel Hancq, Thierry Dutoit, Arash Gharehbaghi, Armen Kocharian, A. Kiani
Computerized screening of children congenital heart diseases. Comput. Methods Programs Biomed. 92 (2) (2008)