Computerized screening of children congenital heart diseases. - Amir A. Sepehri; Joel Hancq; Thierry Dutoit; Arash Gharehbaghi; Armen Kocharian; Abdolrazagh Kiani (Comput. Methods Programs Biomed., 2008)

A novel method for pediatric heart sound segmentation without using the ECG. - Amir A. Sepehri; Arash Gharehbaghi; Thierry Dutoit; Armen Kocharian; Abdolrazagh Kiani (Comput. Methods Programs Biomed., 2010)

An Internet-Based Tool for Pediatric Cardiac Disease Diagnosis Using Intelligent Phonocardiography. - Arash Gharehbaghi; Maria Lindén (IoT 360 (1), 2015)

A pattern recognition framework for detecting dynamic changes on cyclic time series. - Arash Gharehbaghi; Per Ask; Ankica Babic (Pattern Recognit., 2015)

An Intelligent Phonocardiography for Automated Screening of Pediatric Heart Diseases. - Amir A. Sepehri; Armen Kocharian; Azin S. Janani; Arash Gharehbaghi (J. Medical Syst., 2016)

Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural Network. - Arash Gharehbaghi; Amir A. Sepehri; Maria Lindén; Ankica Babic (ICIMTH, 2017)

A signal processing algorithm for improving the performance of a gyroscopic head-borne computer mouse. - Jiaying Du; Christer Gerdtman; Arash Gharehbaghi; Maria Lindén (Biomed. Signal Process. Control., 2017)

Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography. - Arash Gharehbaghi; Ankica Babic (ICIMTH, 2018)

A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network. - Arash Gharehbaghi; Maria Lindén (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Edge Computing Method for Extracting Pathological Information from Phonocardiogram. - Arash Gharehbaghi; Amir A. Sepehri; Ankica Babic (ICIMTH, 2019)

An artificial intelligent-based model for detecting systolic pathological patterns of phonocardiogram based on time-growing neural network. - Arash Gharehbaghi; Maria Lindén; Ankica Babic (Appl. Soft Comput., 2019)

Distinguishing Septal Heart Defects from the Valvular Regurgitation Using Intelligent Phonocardiography. - Arash Gharehbaghi; Amir A. Sepehri; Ankica Babic (MIE, 2020)

A review on deep learning methods for ECG arrhythmia classification. - Zahra Ebrahimi; Mohammad Loni; Masoud Daneshtalab; Arash Gharehbaghi (Expert Syst. Appl. X, 2020)

A-Test Method for Quantifying Structural Risk and Learning Capacity of Supervised Machine Learning Methods. - Arash Gharehbaghi; Ankica Babic (ICIMTH, 2021)

A novel adaptive control design method for stochastic nonlinear systems using neural network. - Mohammad Mahdi Aghajary; Arash Gharehbaghi (Neural Comput. Appl., 2021)

Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography. - Arash Gharehbaghi; Ankica Babic (ICIMTH, 2022)

Recurrent vs Non-Recurrent Convolutional Neural Networks for Heart Sound Classification. - Arash Gharehbaghi; Elaheh Partovi; Ankica Babic (ICIMTH, 2023)

Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification. - Arash Gharehbaghi; Elaheh Partovi; Ankica Babic (MIE, 2023)

Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search. - Mehdi Asadi; Fatemeh Poursalim; Mohammad Loni; Masoud Daneshtalab; Mikael Sjödin; Arash Gharehbaghi (CoRR, 2023)

Accuracy of a Deep Learning Method for Heart Sound Analysis is Unrealistic. - Arash Gharehbaghi; Elaheh Partovi (Neural Networks, 2023)

A review on deep learning methods for heart sound signal analysis. - Elaheh Partovi; Ankica Babic; Arash Gharehbaghi (Frontiers Artif. Intell., 2024)

A review on generative AI models for synthetic medical text, time series, and longitudinal data. - Mohammad Loni; Fatemeh Poursalim; Mehdi Asadi; Arash Gharehbaghi (npj Digit. Medicine, 2025)