Author:Edris Hassannataj Joloudari

Publications
FCM-DNN: Diagnosing Coronary Artery Disease by Deep Accuracy Fuzzy C-Means Clustering Model Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad Ghasemigol, Roohallah Alizadehsani, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Edris Hassannataj, Danial Sharifrazi and Zulkefli Mansor EasyChair Preprint 6771
GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Edris Hassannataj and Amir Mosavi EasyChair Preprint 6173
Application of Artificial Intelligence Techniques for Automated Detection of Myocardial Infarction: a Review Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Roohallah Alizadehsani, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari Kohnehshari, Edris Hassannatajjeloudari, Danial Sharifrazi, Amir Mosavi, Hui Wen Loh, Ru-San Tan and U Rajendra Acharya EasyChair Preprint 6048
Application of Artificial Intelligence Techniques for Automated Detection of Myocardial Infarction: a Review Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari, Edris Hassannataj, Roohallah Alizadehsani, Danial Sharifrazi and Amir Mosavi EasyChair Preprint 6048
FCM-DNN: Diagnosing Coronary Artery Disease by Deep Accuracy Fuzzy C-Means Clustering Model Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad Ghasemigol, Roohallah Alizadehsani, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Edris Hassannataj and Danial Sharifrazi EasyChair Preprint 6771
GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Edris Hassannataj and Amir Mosavi EasyChair Preprint 6173
DNN-GFE: A Deep Neural Network Model Combined with Global Feature Extractor for COVID-19 Diagnosis Based on CT Scan Images Javad Hassannataj Joloudari, Faezeh Azizi, Issa Nodehi, Mohammad Ali Nematollahi, Fatemeh Kamrannejhad, Amir Mosavi, Edris Hassannatajjeloudari and Roohallah Alizadehsani EasyChair Preprint 6330
DNN-GFE: A Deep Neural Network Model Combined with Global Feature Extractor for COVID-19 Diagnosis Based on CT Scan Images Javad Hassannataj Joloudari, Faezeh Azizi, Issa Nodehi, Mohammad Ali Nematollahi, Fatemeh Kamrannejhad, Amir Mosavi, Edris Hassannatajjeloudari and Roohallah Alizadehsani EasyChair Preprint 6330
GSVMA: a Genetic-Support Vector Machine-Anova Method for CAD Diagnosis Based on Z-Alizadeh Sani Dataset Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Edris Hassannataj and Amir Mosavi EasyChair Preprint 6173
GSVMA: a Genetic-Support Vector Machine-Anova Method for CAD Diagnosis Based on Z-Alizadeh Sani Dataset Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Edris Hassannataj and Amir Mosavi EasyChair Preprint 6173
A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari, Edris Hassannataj, Roohallah Alizadehsani, Danial Sharifrazi and Amir Mosavi EasyChair Preprint 6048
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar, Mohammad Ghasemigol, Seyyed Mohammad Razavi, Amir Mosavi, Narjes Nabipour, Shahab Shamshirband and Laszlo Nadai EasyChair Preprint 2467

Keyphrases

Artificial Intelligence², coronary artery disease², coronary artery disease diagnosis, Coronary Heart Disease, COVID-19 Diagnosis, CT scan images, Deep Convolutional Neural Network, deep learning, Deep Neural Network², diagnosis, Electrocardiogram, fuzzy c-means clustering, Genetic Algorithm, Health Informatics, Heart Disease, image analysis, machine learning⁴, Myocardial Infarction Disease, neural network, prediction, Predictive Features, Support Vector Machine.