Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Nima Emami"'
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-12 (2022)
Abstract Automated particle segmentation and feature analysis of experimental image data are indispensable for data-driven material science. Deep learning-based image segmentation algorithms are promising techniques to achieve this goal but are chall
Externí odkaz:
https://doaj.org/article/bc045610c879433f8ed88c37eeb2fa55
Autor:
Moniba Bijari, Sara Jangjoo, Nima Emami, Sara Raji, Mahdi Mottaghi, Roya Moallem, Ali Jangjoo, Amin Saberi
Publikováno v:
International Journal of Endocrinology, Vol 2021 (2021)
Background and Aims. Visceral adiposity index (VAI) is a novel marker of fat distribution and function which incorporates both anthropometric and laboratory measures. Recently, several studies have suggested VAI as a screening tool for metabolic synd
Externí odkaz:
https://doaj.org/article/b9981f133db742c4951e0f8afc03f988
Akademický článek
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Autor:
Narges Ashraf Ganjooei, Tannaz Jamialahmadi, Mohsen Nematy, Najeeb Zaheer Shah, Sara Jangjoo, Nima Emami, Ali Jangjoo, Reyhaneh Faridnia, Mona Alidadi, Thozhukat Sathyapalan, Amirhossein Sahebkar
Publikováno v:
Middle East Journal of Digestive Diseases. 14:410-421
Background: Non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH), and hepatic fibrosis have emerged as one of the leading causes of chronic liver disease. The prevalence of the NAFLD spectrum has increased, which can be att
Publikováno v:
Journal of Swine Health and Production. 30:210-222
Objective: To determine the effects of iron treatments on hematology, hepcidin, and growth in weaned pigs fed copper-supplemented diets. Materials and methods: Pigs were allocated to a 3 × 2 factorial arrangement of treatments (4 pens/treatment comb
Akademický článek
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Autor:
Sara Jangjoo, Nima Emami, Mehrdad Sahranavard, Najeeb Z. Shah, Mona Alidadi, Fatemeh Baratzadeh, Thozhukat Sathyapalan, Ali H. Eid, Ali Jangjoo, Tannaz Jamialahmadi, Amirhossein Sahebkar
Purpose: This study aimed to ascertain the diagnostic accuracy of non-invasive liver function tests in liver fibrosis and assess their changes after metabolic surgery. Materials and Methods: 1005 individuals with severe obesity who were referred for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e1db8aa30f1c430568b4622759b37bc
https://hdl.handle.net/10576/40649
https://hdl.handle.net/10576/40649
Autor:
Nima Emami Kian, Javad Aminian
Publikováno v:
SSRN Electronic Journal.
Automatized object identification and feature analysis of experimental image data are indispensable for data-driven material science; deep-learning-based segmentation algorithms have been shown to be a promising technique to achieve this goal. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::972fabe5f1874fa84c7508ba21b734e5
http://arxiv.org/abs/2109.04429
http://arxiv.org/abs/2109.04429
Autor:
Roya Moallem, Amin Saberi, Ali Jangjoo, Sara Jangjoo, Sara Raji, Moniba Bijari, Nima Emami, Mahdi Mottaghi
Publikováno v:
International Journal of Endocrinology, Vol 2021 (2021)
International Journal of Endocrinology
International Journal of Endocrinology
Background and Aims. Visceral adiposity index (VAI) is a novel marker of fat distribution and function which incorporates both anthropometric and laboratory measures. Recently, several studies have suggested VAI as a screening tool for metabolic synd