Zobrazeno 1 - 10
of 149
pro vyhledávání: '"and Roohallah Alizadehsani"'
Autor:
Furqan Alam, Pawel Plawiak, Ahmed Almaghthawi, Mohammad Reza Chalak Qazani, Sanat Mohanty, and Roohallah Alizadehsani
Publikováno v:
IEEE Access, Vol 12, Pp 112232-112248 (2024)
Human Activity Recognition (HAR) is becoming increasingly important in the fast-evolving landscapes of wearable sensors, smart applications, and the Internet of Things (IoT) paradigms. HAR is rapidly gaining importance, especially in health monitorin
Externí odkaz:
https://doaj.org/article/8b2a53402aa643ab96491d6fe7b72863
Autor:
Hamidreza Najafi, Kimia Savoji, Marzieh Mirzaeibonehkhater, Seyed Vahid Moravvej, Roohallah Alizadehsani, Siamak Pedrammehr
Publikováno v:
Diagnostics, Vol 14, Iss 22, p 2604 (2024)
Background: Lung cancer remains a significant health concern, and the effectiveness of early detection significantly enhances patient survival rates. Identifying lung tumors with high precision is a challenge due to the complex nature of tumor struct
Externí odkaz:
https://doaj.org/article/e579bc8efb9f49cc8c10f96173c20f18
Autor:
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Mehrzad Tartibi, Sadiq Hussain, Zahra Alizadeh Sani, Marjane Khodatars, Delaram Sadeghi, Abbas Khosravi, Saeid Nahavandi, Ru-San Tan, U. Rajendra Acharya, Sheikh Mohammed Shariful Islam
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract 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 risks. Noninvasive imaging like cardia
Externí odkaz:
https://doaj.org/article/a7eb83becaad439d8a789285adfd0058
Autor:
Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Roohallah Alizadehsani, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Edris Hassannataj, Danial Sharifrazi, Zulkefli Mansor
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 4, Pp 3609-3635 (2022)
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 standard clinical tool for diagnosing CAD is ang
Externí odkaz:
https://doaj.org/article/6d6de18ea1094584ba16305920bbf3ee
Autor:
Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan, Sheikh Mohammed Shariful Islam
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Deep neural networks (DNNs) have been widely applied for detecting COVID-19 in medical images. Existing studies mainly apply transfer learning and other data representation strategies to generate accurate point estimates. The generalization
Externí odkaz:
https://doaj.org/article/91dacdc61cd747a0957981d29f490fbf
Autor:
Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari, Shahab S. Band, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Afshin Shoeibi, Abdollah Dehzangi, Mehdi Sookhak, Hamid Alinejad-Rokny
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 3, Pp 2381-2402 (2022)
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 electrical system. It has remained one of the most challenging diagnoses in cardiology. Myoc
Externí odkaz:
https://doaj.org/article/9c05149c7cac4bc78455b0bb0fb16d3d
Autor:
Maryam Panahiazar, Andrew M. Bishara, Yorick Chern, Roohallah Alizadehsani, Sheikh M. Shariful Islam, Dexter Hadley, Rima Arnaout, Ramin E. Beygui
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundWomen continue to have worse Coronary Artery Disease (CAD) outcomes than men. The causes of this discrepancy have yet to be fully elucidated. The main objective of this study is to detect gender discrepancies in the diagnosis and treatment
Externí odkaz:
https://doaj.org/article/134443adc9d9492c84202871d7d29229
Autor:
Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Roohallah Alizadehsani, Juan M. Gorriz, Sara A. Abdulla, U. Rajendra Acharya
Publikováno v:
Frontiers in Molecular Neuroscience, Vol 15 (2022)
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and symptoms that appear in early childhood. ASD is also associated with communication deficits and repetitive behavior in affected individuals. Various ASD detection
Externí odkaz:
https://doaj.org/article/dbd6ea6f07ef4193a238307abd39999d
Autor:
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan M. Gorriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Abstract 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 date, it appears that CO
Externí odkaz:
https://doaj.org/article/9ceed63c3b1d4d089aecf42d5012cfba
Autor:
Zahra Alizadeh Sani, Abdolrahim Ghasemi, Shabnam Mohammadzadeh, Zahra Khajali, Mohaddeseh Behjati, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam
Publikováno v:
Journal of Cardiovascular and Thoracic Research, Vol 13, Iss 4, Pp 364-366 (2021)
Fontan operation is a reliable palliative surgery for patients with single ventricle physiology. Still, the development of complication is common; one of these complications that need to interventional approach is veno-venous collaterals between syst
Externí odkaz:
https://doaj.org/article/a836a8219f764248b1f90fbe256e1c38