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» Authors » Danial Sharifrazi

Danial Sharifrazi

Explore the profile of Danial Sharifrazi including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 7
Citations 163
Followers 0
Related Specialties
Biology
Science
Physiology
Top 10 Co-Authors
Roohallah Alizadehsani
Javad Hassannataj Joloudari
Zahra Alizadeh Sani
Afshin Shoeibi
Sadiq Hussain
Abbas Khosravi
Saeid Nahavandi
Sheikh Mohammed Shariful Islam
U Rajendra Acharya
Fahime Khozeimeh
Published In
Math Biosci Eng
Sci Rep
Biomed Signal Process Control
Results Phys
Physiol Meas
Affiliations
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Recent Articles
1.
Application of artificial intelligence techniques for automated detection of myocardial infarction: a review
Joloudari J, Mojrian S, Nodehi I, Mashmool A, Kiani Zadegan Z, Khanjani Shirkharkolaie S, et al.
Physiol Meas . 2022 Jul; 43(8). PMID: 35803247
Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly individuals worldwide. To diagnose...
2.
RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance
Khozeimeh F, Sharifrazi D, Izadi N, Joloudari J, Shoeibi A, Alizadehsani R, et al.
Sci Rep . 2022 Jul; 12(1):11178. PMID: 35778476
Coronary artery disease (CAD) is a prevalent disease with high morbidity and mortality rates. Invasive coronary angiography is the reference standard for diagnosing CAD but is costly and associated with...
3.
FCM-DNN: diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model
Joloudari J, Saadatfar H, Ghasemigol M, Alizadehsani R, Alizadeh Sani Z, Hasanzadeh F, et al.
Math Biosci Eng . 2022 Mar; 19(4):3609-3635. PMID: 35341267
Cardiovascular disease is one of the most challenging diseases in middle-aged and older people, which causes high mortality. Coronary artery disease (CAD) is known as a common cardiovascular disease. A...
4.
CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering
Sharifrazi D, Alizadehsani R, Joloudari J, Band S, Hussain S, Alizadeh Sani Z, et al.
Math Biosci Eng . 2022 Mar; 19(3):2381-2402. PMID: 35240789
Myocarditis is the form of an inflammation of the middle layer of the heart wall which is caused by a viral infection and can affect the heart muscle and its...
5.
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
Khozeimeh F, Sharifrazi D, Izadi N, Joloudari J, Shoeibi A, Alizadehsani R, et al.
Sci Rep . 2021 Jul; 11(1):15343. PMID: 34321491
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classification performance on image datasets. To...
6.
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
Ayoobi N, Sharifrazi D, Alizadehsani R, Shoeibi A, Gorriz J, Moosaei H, et al.
Results Phys . 2021 Jul; 27:104495. PMID: 34221854
The first known case of Coronavirus disease 2019 (COVID-19) was identified in December 2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and costs to many countries....
7.
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
Sharifrazi D, Alizadehsani R, Roshanzamir M, Joloudari J, Shoeibi A, Jafari M, et al.
Biomed Signal Process Control . 2021 Apr; 68:102622. PMID: 33846685
The coronavirus (COVID-19) is currently the most common contagious disease which is prevalent all over the world. The main challenge of this disease is the primary diagnosis to prevent secondary...