Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Mortazavi, Nazanin"'
Autor:
Ghasemzadeh, Fatemeh1 (AUTHOR), Mortazavi, Nazanin1 (AUTHOR) mortazavi_nazanin@yahoo.com, Mallahi, Mysa2 (AUTHOR), Gharib, Mohammad Hadi3 (AUTHOR), Behnampour, Naser4 (AUTHOR), Badeleh, Mohammad Taghi5 (AUTHOR), Asgari, Negar6 (AUTHOR)
Publikováno v:
BMC Musculoskeletal Disorders. 7/19/2024, Vol. 25 Issue 1, p1-7. 7p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Mortazavi, Nazanin1, Abdolahi, Nafiseh2 dr.n.abdollahi@goums.ac.ir, Saeidi, Mohsen3, Vakili, Mohammad Ali4, Mohebrad, Pouria1
Publikováno v:
Archives of Rheumatology. Mar2023, Vol. 38 Issue 1, p95-100. 6p.
Autor:
Balef, Seyed Saeed Hosseini, Hosseini, Seyed Sedigheh, Asgari, Negar, Sohrabi, Ahmad, Mortazavi, Nazanin
Publikováno v:
BMC Research Notes; 4/11/2024, Vol. 17 Issue 1, p1-9, 9p
Autor:
Halimi, Atefe1, Mortazavi, Nazanin1,2 mortazavi_nazanin@yahoo.com, Memarian, Ali3,4, Zahedi, Maryam5, Niknejad, Farhad6, Sohrabi, Ahmad7, Sarraf, Shakiba Javadian1
Publikováno v:
BMC Endocrine Disorders. 11/28/2022, Vol. 22 Issue 1, p1-6. 6p.
Autor:
Ajdani, Mehran1 (AUTHOR), Mortazavi, Nazanin2 (AUTHOR) mortazavi_nazanin@yahoo.com, Besharat, Sima3 (AUTHOR), Mohammadi, Saeed4 (AUTHOR), Amiriani, Taghi3 (AUTHOR), Sohrabi, Ahmad5 (AUTHOR), Norouzi, Alireza3 (AUTHOR), Edris, Ghezeljeh3 (AUTHOR)
Publikováno v:
BMC Gastroenterology. 8/6/2022, Vol. 22 Issue 1, p1-7. 7p.
Autor:
Zamani, Samin, Besharat, Sima, Behnampour, Nasser, Behnam, Armina, Asgari, Negar, Mortazavi, Nazanin
Publikováno v:
Medical Laboratory Journal; Mar/Apr2024, Vol. 18 Issue 2, p26-28, 3p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Mehryari Mahsa, Mortazavi Nazanin, Sayyadi Fatemeh, Mohsenitavakoli Saman, Zahedpasha Shaghayegh, Mortazaviamiri Seyedhadi, Bijani Ali, Kazemi Hamed Hossein, Motallebnejad Mina
Publikováno v:
Journal of Dental Medicine, Vol 27, Iss 4, Pp 279-289 (2015)
Background and Aims: The purpose of the present study was to review the studies regarding serological and salivary oxidant / antioxidant status in patients with recurrent aphthous stomatitis (RAS). Materials and Methods: The literature was searched u
Externí odkaz:
https://doaj.org/article/2ac979fe6567495ab8f4520b1a700f36
Autor:
Shiri, Isaac, Salimi, Yazdan, Pakbin, Masoumeh, Hajianfar, Ghasem, Avval, Atlas Haddadi, Sanaat, Amirhossein, Mostafaei, Shayan, Akhavanallaf, Azadeh, Saberi, Abdollah, Mansouri, Zahra, Askari, Dariush, Ghasemian, Mohammadreza, Sharifipour, Ehsan, Sandoughdaran, Saleh, Sohrabi, Ahmad, Sadati, Elham, Livani, Somayeh, Iranpour, Pooya, Kolahi, Shahriar, Khateri, Maziar, Bijari, Salar, Atashzar, Mohammad Reza, Shayesteh, Sajad P., Khosravi, Bardia, Babaei, Mohammad Reza, Jenabi, Elnaz, Hasanian, Mohammad, Shahhamzeh, Alireza, Foroghi Ghomi, Seyaed Yaser, Mozafari, Abolfazl, Teimouri, Arash, Movaseghi, Fatemeh, Ahmari, Azin, Goharpey, Neda, Bozorgmehr, Rama, Shirzad-Aski, Hesamaddin, Mortazavi, Roozbeh, Karimi, Jalal, Mortazavi, Nazanin, Besharat, Sima, Afsharpad, Mandana, Abdollahi, Hamid, Geramifar, Parham, Radmard, Amir Reza, Arabi, Hossein, Rezaei-Kalantari, Kiara, Oveisi, Mehrdad, Rahmim, Arman, Zaidi, Habib
Publikováno v:
Shiri, I, Salimi, Y, Pakbin, M, Hajianfar, G, Avval, A H, Sanaat, A, Mostafaei, S, Akhavanallaf, A, Saberi, A, Mansouri, Z, Askari, D, Ghasemian, M, Sharifipour, E, Sandoughdaran, S, Sohrabi, A, Sadati, E, Livani, S, Iranpour, P, Kolahi, S, Khateri, M, Bijari, S, Atashzar, M R, Shayesteh, S P, Khosravi, B, Babaei, M R, Jenabi, E, Hasanian, M, Shahhamzeh, A, Foroghi Ghomi, S Y, Mozafari, A, Teimouri, A, Movaseghi, F, Ahmari, A, Goharpey, N, Bozorgmehr, R, Shirzad-Aski, H, Mortazavi, R, Karimi, J, Mortazavi, N, Besharat, S, Afsharpad, M, Abdollahi, H, Geramifar, P, Radmard, A R, Arabi, H, Rezaei-Kalantari, K, Oveisi, M, Rahmim, A & Zaidi, H 2022, ' COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms : Analysis of a multi-institutional dataset of 14,339 patients: COVID-19 prognostic modeling using CT radiomics and machine learning ', Computers in Biology and Medicine, vol. 145, 105467 . https://doi.org/10.1016/j.compbiomed.2022.105467
Computers in biology and medicine, 145:105467. PERGAMON-ELSEVIER SCIENCE LTD
Computers in biology and medicine, 145:105467. PERGAMON-ELSEVIER SCIENCE LTD
Background: We aimed to analyze the prognostic power of CT-based radiomics models using data of 14,339 COVID-19 patients. Methods: Whole lung segmentations were performed automatically using a deep learning-based model to extract 107 intensity and te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3aae6e827a8027d18f1b2b0beb8f5b0e
https://findresearcher.sdu.dk:8443/ws/files/201695531/1_s2.0_S0010482522002591_main.pdf
https://findresearcher.sdu.dk:8443/ws/files/201695531/1_s2.0_S0010482522002591_main.pdf