Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Shafiezadeh, A."'
Autor:
Shafiezadeh, Sina1 (AUTHOR) giovanni.mento@unipd.it, Duma, Gian Marco2 (AUTHOR) gianmarco.duma@lanostrafamiglia.it, Mento, Giovanni1,3 (AUTHOR) fiorella.delpopolocristaldi@unipd.it, Danieli, Alberto2 (AUTHOR) alberto.danieli@lanostrafamiglia.it, Antoniazzi, Lisa2 (AUTHOR) lisa.antoniazzi@lanostrafamiglia.it, Del Popolo Cristaldi, Fiorella1 (AUTHOR), Bonanni, Paolo2 (AUTHOR) paolo.bonanni@lanostrafamiglia.it, Testolin, Alberto1,4 (AUTHOR) sina.shafiezadeh@studenti.unipd.it
Publikováno v:
Sensors (14248220). May2024, Vol. 24 Issue 9, p2863. 16p.
Autor:
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Publikováno v:
Sensors, Vol 24, Iss 9, p 2863 (2024)
The recent scientific literature abounds in proposals of seizure forecasting methods that exploit machine learning to automatically analyze electroencephalogram (EEG) signals. Deep learning algorithms seem to achieve a particularly remarkable perform
Externí odkaz:
https://doaj.org/article/193617c8dce04f588d7c7094fdadf3cb
Autor:
Bahamin, Nayereh, Rafieian-Kopaei, Mahmoud, Ahmadian, Shahin, Karimi, Iraj, Doustimotlagh, Amir Hossein, Mobini, Gholamreza, Bijad, Elham, Shafiezadeh, Mahshid
Publikováno v:
In Heliyon May 2023 9(5)
Autor:
Nayereh Bahamin, Mahmoud Rafieian-Kopaei, Shahin Ahmadian, Iraj Karimi, Amir Hossein Doustimotlagh, Gholamreza Mobini, Elham Bijad, Mahshid Shafiezadeh
Publikováno v:
Heliyon, Vol 9, Iss 5, Pp e16292- (2023)
Breast cancer is a challenging disease and leading cause of cancer death in women. There is no effective agent for metastatic breast cancer after surgery and chemotherapy. Alhagi maurorum (A.m) has been reported to exhibit an anticancer effect on var
Externí odkaz:
https://doaj.org/article/6ab32517633a44d1b31dbdbace8eb2da
Autor:
Sina Shafiezadeh, Mansoureh Eshghi, Zahra Dokhaei, Hossein Mohajeri, Atiyeh MohammadShirazi, Sara Mirsadeghi, Peyman Hasani Abharian
Publikováno v:
Basic and Clinical Neuroscience, Vol 12, Iss 5, Pp 675-680 (2021)
Introduction: Obsessive-Compulsive Disorder (OCD) is one of the most common debilitating mental disorders with a prevalence rate of 2% to 3% in the general population. Previous studies have indicated abnormalities in the dorsolateral prefrontal corte
Externí odkaz:
https://doaj.org/article/d054549051df4bb5b56ea64b65cdc94b
Autor:
Rzea Jafari Nodoushan, vida sadat anoosheh, Mahdieh Shafiezadeh Bafghi, Mohammad Ali Barzegari, Ali Jafari, Hojat Damiri, Azam Hosseini Hanzaei
Publikováno v:
Journal of Community Health Research, Vol 10, Iss 3, Pp 195-204 (2021)
Introduction: Due to the important role of the mothers in the families, identifying their early maladaptive schema can help us identify the problems that lead to unhealthy life education and provide the necessary and appropriate training programs to
Externí odkaz:
https://doaj.org/article/3a0f0ccda73347efb7ebff7f173ee03c
Autor:
Saeed Gilouri, Hamid Shafiezadeh
Publikováno v:
Iranian Journal of Comparative Education, Vol 4, Iss 2, Pp 1178-1191 (2021)
Privatization of education in Iran has experienced many ups and downs. This trend has been largely influenced by theoretical debates of proponents and opponents of establishment of non-governmental schools. For this reason, few studies have evaluated
Externí odkaz:
https://doaj.org/article/ebabd13e6cc94909bee3bdcba09fab77
Autor:
Fatemeh Aminaei, Mohammad Javad Zare Sakhvidi, Hamideh Mihanpour, Mojtaba Moghaddassi, Mahdiyeh Shafiezadeh Bafghi
Publikováno v:
Journal of Environmental Health and Sustainable Development, Vol 6, Iss 1, Pp 1211-1218 (2021)
Introduction: According to the literature, Central Retinal Arteriolar Equivalent (CRAE), Central Retinal Venular Equivalent (CRVE), and Artemio Venule Ratio (AVR) are three important markers in determining the changes of retinal artery. These markers
Externí odkaz:
https://doaj.org/article/ee252cec17ed47839c1b0b75031f7fd2
Autor:
Shafiezadeh, Sina1, Mohajeri, Hossein2, Mohammadshirazi, Atiyeh3, Hassani-Abharian, Peyman3,4 abharian@iricss.org
Publikováno v:
Basic & Clinical Neuroscience. May/Jun2023, Vol. 14 Issue 3, p317-322. 6p.
Autor:
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4262 (2023)
There is an increasing interest in applying artificial intelligence techniques to forecast epileptic seizures. In particular, machine learning algorithms could extract nonlinear statistical regularities from electroencephalographic (EEG) time series
Externí odkaz:
https://doaj.org/article/3bed75083be24e7ab6e551959c5f5a2f