Roohallah Alizadehsani

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Material Recognition for Automated Progress Monitoring using Deep Learning Methods pdf

Navid Ghassemi, Hadi Mahami, Mohammad Tayarani Darbandi, 2020, ArXiv.

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, Expert Syst. Appl..

Model uncertainty quantification for diagnosis of each main coronary artery stenosis

U. Rajendra Acharya, Roohallah Alizadehsani, Abbas Khosravi, 2020, Soft Comput..

A data mining approach for diagnosis of coronary artery disease

Jafar Habibi, Roohallah Alizadehsani, Hoda Mashayekhi, 2013, Comput. Methods Programs Biomed..

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

U. Rajendra Acharya, Sadiq Hussain, Roohallah Alizadehsani, 2020, Pattern Recognit. Lett..

Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving

Saeid Nahavandi, Roohallah Alizadehsani, Ibrahim Hossain, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Epileptic Seizures Detection Using Deep Learning Techniques: A Review pdf

Amir F. Atiya, U. Rajendra Acharya, Navid Ghassemi, 2020, International journal of environmental research and public health.

Deep Imitation Learning: The Impact of Depth on Policy Performance

Saeid Nahavandi, Roohallah Alizadehsani, Ibrahim Hossain, 2018, ICONIP.

CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering.

Roohallah Alizadehsani, Hamid Alinejad-Rokny, Shahab Shamshirband, 2020, Mathematical biosciences and engineering : MBE.

Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms

Roohallah Alizadehsani, Zahra Alizadeh Sani, Reihane Boghrati, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Robust Adaptive Synchronization of a Class of Uncertain Chaotic Systems with Unknown Time-Delay

Navid Ghassemi, Afshin Shoeibi, Roohallah Alizadehsani, 2020 .

Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis

Roohallah Alizadehsani, Zahra Alizadeh Sani, Reihane Boghrati, 2012, Int. J. Knowl. Discov. Bioinform..

Coronary artery disease detection using computational intelligence methods

Jafar Habibi, Saeid Nahavandi, Roohallah Alizadehsani, 2016, Knowl. Based Syst..

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020) pdf

Amir F. Atiya, U. Rajendra Acharya, Afshin Shoeibi, 2020, Annals of operations research.

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2018, Comput. Methods Programs Biomed..

A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review

Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, 2019, IEEE Access.

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review pdf

U. Rajendra Acharya, Navid Ghassemi, Afshin Shoeibi, 2020, Comput. Biol. Medicine.

Machine learning-based coronary artery disease diagnosis: A comprehensive review

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2019, Comput. Biol. Medicine.

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment

U. Rajendra Acharya, Roohallah Alizadehsani, Moloud Abdar, 2019, Journal of Medical Systems.

Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries

Saeid Nahavandi, U. Rajendra Acharya, Roohallah Alizadehsani, 2020, Expert Syst. J. Knowl. Eng..

Objective evaluation of deep uncertainty predictions for COVID-19 detection pdf

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2020, Scientific Reports.

Development of novel algorithm to visualize blood vessels on 3D ultrasound images during liver surgery

Afshin Shoeibi, Roohallah Alizadehsani, Abbas Khosravi, 2020 .

An expert system for selecting wart treatment method

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2017, Comput. Biol. Medicine.

Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2020, IEEE Transactions on Cybernetics.

Disease Diagnosis with a hybrid method SVR using NSGA-II

Jafar Habibi, Roohallah Alizadehsani, Mohammad Hossein Zangooei, 2014, Neurocomputing.

Parsimonious Evolutionary-based Model Development for Detecting Artery Disease

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

Roohallah Alizadehsani, Ali Asghar Yarifard, Hossein Moosaei, 2017, Comput. Methods Programs Biomed..

Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Sensors.

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2020, Comput. Biol. Medicine.

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review pdf

U. Rajendra Acharya, Navid Ghassemi, Afshin Shoeibi, 2020, ArXiv.

Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models pdf

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, ArXiv.

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Biomedical Signal Processing and Control.

DNN-GFE: A Deep Neural Network Model Combined with Global Feature Extractor for COVID-19 Diagnosis Based on CT Scan Images

Roohallah Alizadehsani, Mohammad Ali Nematollahi, Amir Mosavi, 2021 .

Detection of effective genes in colon cancer: A machine learning approach

Roohallah Alizadehsani, Mohamad Roshanzamir, Mohammad Amin Fahami, 2021 .

Hypertrophic Cardiomyopathy Diagnosis Based on Cardiovascular Magnetic Resonance Using Deep Learning Techniques

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, SSRN Electronic Journal.

Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Scientific Reports.

What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors pdf

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, ArXiv.

A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis pdf

Roohallah Alizadehsani, Amir Mosavi, Sanaz Mojrian, 2021, ArXiv.

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, Frontiers in Neuroinformatics.

Objective Tinnitus Measurement via fNIRS and Machine Learning

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2021 .

Application of artificial intelligence in wearable devices: Opportunities and challenges

Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, 2021, Comput. Methods Programs Biomed..

Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method

Roohallah Alizadehsani, Mahdi Yaghoobi, Assef Zare, 2021, Big Data Cogn. Comput..

CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients pdf

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, ArXiv.

Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Comput. Biol. Medicine.

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, ACM Trans. Multim. Comput. Commun. Appl..

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2020, Comput. Biol. Medicine.

Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems

Navid Ghassemi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Sensors.

GSVMA: A Genetic Support Vector Machine ANOVA Method for CAD Diagnosis pdf

Roohallah Alizadehsani, Mohammad Ali Nematollahi, Amir Mosavi, 2021, Frontiers in Cardiovascular Medicine.

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Results in Physics.

Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works pdf

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, ArXiv.

Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

Navid Ghassemi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Biomed. Signal Process. Control..

An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works pdf

Saeid Nahavandi, Mohammad Teshnehlab, Navid Ghassemi, 2021, ArXiv.

Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression: Simplifying Complex T2F Calculations pdf

Afshin Shoeibi, Roohallah Alizadehsani, Abbas Khosravi, 2021, IEEE Systems, Man, and Cybernetics Magazine.

Diagnosis of Coronary Artery Disease Using Data Mining Based on Lab Data and Echo Features

Jafar Habibi, Roohallah Alizadehsani, Hoda Mashayekhi, 2012, Journal of Medical and Bioengineering.

Identification of Clinical Features Associated with Mortality in COVID-19 Patients

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Operations Research Forum.

Diagnosing Coronary Artery Disease via Data Mining Algorithms by Considering Laboratory and Echocardiography Features

Jafar Habibi, Roohallah Alizadehsani, Hoda Mashayekhi, 2013, Research in cardiovascular medicine.

Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2020, Journal of medical virology.

Diagnosis of Coronary Artery Disease Using Data Mining Techniques Based on Symptoms and ECG Features

Jafar Habibi, Roohallah Alizadehsani, Zahra Alizadeh Sani, 2012 .

Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, 2021 .