Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Sergey A. Nesterov"'
METHOD FOR INCREASING OSSEOINTEGRATION OF MEDICAL EQUIPMENT BASED ON LASER FOAMING OF METAL SURFACES
Publikováno v:
Модели, системы, сети в экономике, технике, природе и обществе, Iss 3 (2023)
Background. Osseointegration of medical equipment, including implants, into the bone is one of the main conditions for a successful outcome of surgical treatment. To improve the reliability of the functioning of medical equipment products by improvin
Externí odkaz:
https://doaj.org/article/bcba8622bd0a4d77b9bd226a0c1256bc
Publikováno v:
UNIVERSITY NEWS. NORTH-CAUCASIAN REGION. NATURAL SCIENCES SERIES. :10-20
The problem of bending a horizontally inhomogeneous piezoelectric cantilever beam is studied taking into account scale effects. The lower and upper surfaces of the beam are electroplated. Three types of loading are considered: load uniformly distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::982e468c386c304f5c7c46fa23011f69
https://doi.org/10.18522/1026-2237-2022-4-1-10-20
https://doi.org/10.18522/1026-2237-2022-4-1-10-20
Autor:
Luis Eduardo Juarez-Orozco, Octavio Martinez-Manzanera, Sergey V. Nesterov, Sami Kajander, Juhani Knuuti
Publikováno v:
European Journal of Hybrid Imaging, Vol 2, Iss 1, Pp 1-15 (2018)
Abstract Background Machine learning (ML) represents a family of algorithms that has rapidly developed within the last years in a wide variety of knowledge areas. ML is able to elucidate and grasp complex patterns from data in order to approach predi
Externí odkaz:
https://doaj.org/article/b81252e330144254b13e09c1b30b2d71
Autor:
Oona Rainio, Chunlei Han, Jarmo Teuho, Sergey V. Nesterov, Vesa Oikonen, Sauli Piirola, Timo Laitinen, Marko Tättäläinen, Juhani Knuuti, Riku Klén
Publikováno v:
Journal of Digital Imaging.
Carimas is a multi-purpose medical imaging data processing tool, which can be used to visualize, analyze, and model different medical images in research. Originally, it was developed only for positron emission tomography data in 2009, but the use of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a39e9e209493fe318ecd49f3607010
https://doi.org/10.1007/s10278-023-00812-1
https://doi.org/10.1007/s10278-023-00812-1
Publikováno v:
Ecological Bulletin of Research Centers of the Black Sea Economic Cooperation. 19:6-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee64555644bf6ccfd9c5f72310e0037b
https://doi.org/10.31429/vestnik-19-2-6-16
https://doi.org/10.31429/vestnik-19-2-6-16
Publikováno v:
Advanced Structured Materials ISBN: 9783031261855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58070e5821205ae0c05fe42ec14119e9
https://doi.org/10.1007/978-3-031-26186-2_42
https://doi.org/10.1007/978-3-031-26186-2_42
Autor:
Sergey V. Nesterov
Publikováno v:
Clinical and Translational Imaging. 11:225-226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3926d5e985cb4b5de2708ef4cabb414b
https://doi.org/10.1007/s40336-022-00530-8
https://doi.org/10.1007/s40336-022-00530-8
Autor:
Sergey V. Nesterov, Olga A. Zakurdaeva
Publikováno v:
Mendeleev Communications. 32:670-671
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03e959e3ca139ebe6c4b888263a9d2bd
https://doi.org/10.1016/j.mencom.2022.09.034
https://doi.org/10.1016/j.mencom.2022.09.034
Autor:
Sergey V. Nesterov
Publikováno v:
Clinical and Translational Imaging. 9:399-401
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbfe359b33ed1cdee4dcfb170f2b9d91
https://doi.org/10.1007/s40336-021-00438-9
https://doi.org/10.1007/s40336-021-00438-9
Autor:
Sergey V. Nesterov, Olga A. Zakurdaeva, Natalya A. Sokolova, Pavel V. Rychkov, Vladimir I. Feldman
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fa5f4272b74e07ec1bd822f835506d7
https://doi.org/10.2139/ssrn.4043742
https://doi.org/10.2139/ssrn.4043742