Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Olga M. Gerget"'
Publikováno v:
Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 333, Iss 8, Pp 182-191 (2022)
Relevance. When developing new methods of volumetric modeling of the material composition of geological environment according to borehole and surface observations, the authors previously proposed the possibility of an alternative estimate of the erro
Externí odkaz:
https://doaj.org/article/bd2ca1bfc0974b6bb60f2cd6259c5ecd
Autor:
Viacheslav V. Danilov, Kirill Yu. Klyshnikov, Olga M. Gerget, Anton G. Kutikhin, Vladimir I. Ganyukov, Alejandro F. Frangi, Evgeny A. Ovcharenko
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Invasive coronary angiography remains the gold standard for diagnosing coronary artery disease, which may be complicated by both, patient-specific anatomy and image quality. Deep learning techniques aimed at detecting coronary artery stenose
Externí odkaz:
https://doaj.org/article/af0e99a2f2bf46a59aad110982b117f1
Autor:
Viacheslav V. Danilov, Kirill Yu. Klyshnikov, Olga M. Gerget, Igor P. Skirnevsky, Anton G. Kutikhin, Aleksandr A. Shilov, Vladimir I. Ganyukov, Evgeny A. Ovcharenko
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Currently, transcatheter aortic valve implantation (TAVI) represents the most efficient treatment option for patients with aortic stenosis, yet its clinical outcomes largely depend on the accuracy of valve positioning that is frequently complicated w
Externí odkaz:
https://doaj.org/article/c254ad5e6fc340d0a4f96d3ddce2179e
Autor:
Nikita V. Laptev, Olga M. Gerget, Andrey A. Kravchenko, Vladislav V. Laptev, Dmitry Yu. Kolpashchikov
Publikováno v:
Информационные и математические технологии в науке и управлении. :136-143
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::190d3cd7741b293947a6024da0c95f01
https://doi.org/10.38028/esi.2022.28.4.010
https://doi.org/10.38028/esi.2022.28.4.010
Publikováno v:
Информационные и математические технологии в науке и управлении. :161-168
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62e48351379732f9bcdd17856c102208
https://doi.org/10.38028/esi.2022.26.2.015
https://doi.org/10.38028/esi.2022.26.2.015
Autor:
Viacheslav V. Danilov, Dmitrii Yu. Kolpashchikov, Olga M. Gerget, Nikita V. Laptev, Alex Proutski, Luis A. Hernández Gómez, Federico Alvarez, María J. Ledesma-Carbayo
Publikováno v:
Computerized Medical Imaging and Graphics. 106:102188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78b3725799dc290f732e375c5d0c6996
https://doi.org/10.1016/j.compmedimag.2023.102188
https://doi.org/10.1016/j.compmedimag.2023.102188