Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Andrew Parviz Zarei"'
Autor:
Ghazaleh Jamalipour Soufi, Ali Hekmatnia, Farzaneh Hekmatnia, Andrew Parviz Zarei, Farshad Riahi, Shamim Shafieyoon, Sara Azizollahi
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 55, Iss 1, Pp 1-5 (2024)
Abstract Background Mitochondrial neurogastrointestinal encephalopathy (MNGIE) is an autosomal recessive disease associated with alterations in mitochondrial DNA (mtDNA). The typical age of onset of MNGIE is between the first and second decade of lif
Externí odkaz:
https://doaj.org/article/059521d8908e4ff684f548380a7a7f74
Autor:
Ghazaleh Jamalipour Soufi, Ali Hekmatnia, Farzaneh Hekmatnia, Andrew Parviz Zarei, Shamim Shafieyoon, Sara Azizollahi, Farshad Riahi
Publikováno v:
Radiology Case Reports, Vol 19, Iss 6, Pp 2125-2129 (2024)
Brucellosis is a zoonotic disease caused by small intracellular aerobic Gram-negative bacilli. The literature has frequently documented instances of the gastrointestinal, hepatobiliary, and skeletal systems being involved. In 3%-5% of brucellosis pat
Externí odkaz:
https://doaj.org/article/08d28054f8f24740958bc46cbada5afa
Autor:
Mahshid Bahrami, Fatemeh Karami, Ali Hekmatnia, Sepideh Soltani, Pedram Fadavi, Farzaneh Hekmatnia, Andrew Parviz Zarei, Hengameh Nazari
Publikováno v:
Journal of Research in Medical Sciences, Vol 29, Iss 1, Pp 37-37 (2024)
Background: The aim of this study was to determine whether mammographic and sonographic features of malignant breast lesions are correlated with tumor histologic grade, hormonal receptor, human epidermal growth factor receptor 2 (HER2), and Ki-67 sta
Externí odkaz:
https://doaj.org/article/f402fe7b34884c46bc098b21d4a1f129
Autor:
Shiva Parsarad, Narges Saeedizadeh, Ghazaleh Jamalipour Soufi, Shamim Shafieyoon, Farzaneh Hekmatnia, Andrew Parviz Zarei, Samira Soleimany, Amir Yousefi, Hengameh Nazari, Pegah Torabi, Abbas S. Milani, Seyed Ali Madani Tonekaboni, Hossein Rabbani, Ali Hekmatnia, Rahele Kafieh
Publikováno v:
Journal of Imaging, Vol 9, Iss 8, p 159 (2023)
Accurate detection of respiratory system damage including COVID-19 is considered one of the crucial applications of deep learning (DL) models using CT images. However, the main shortcoming of the published works has been unreliable reported accuracy
Externí odkaz:
https://doaj.org/article/4d2ef9522a694c2a9cdbfea1311a5b7e
Autor:
Ghazaleh Jamalipour Soufi, Ali Hekmatnia, Andrew Parviz Zarei, Farzaneh Hekmatnia, Shamim Shafieyoon
Publikováno v:
Journal of Research in Medical Sciences, Vol 27, Iss 1, Pp 81-81 (2022)
Background: The aim of the present study was to investigate and compare the relationship between the anatomical distribution of pulmonary lesions in computed tomography scan of patients with COVID-19. Materials and Methods: This is a cross-sectional
Externí odkaz:
https://doaj.org/article/501f479929554fffb1d4fe166df8d5c7
Autor:
Shamim Shafieyoon, Mohammad Ali Tahririan, Ali Hekmatnia, Andrew Parviz Zarei, Farzaneh Hekmatnia, Ghazaleh Jamalipour Soufi
Publikováno v:
Journal of Research in Medical Sciences, Vol 27, Iss 1, Pp 41-41 (2022)
Externí odkaz:
https://doaj.org/article/6d5fc551ad5246c7ab793cf5e5510ac3