Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kirill Klyshnikov"'
Autor:
Evgeny Ovcharenko, Anton Kutikhin, Olga Gruzdeva, Anastasia Kuzmina, Tamara Slesareva, Elena Brusina, Svetlana Kudasheva, Tatiana Bondarenko, Svetlana Kuzmenko, Nikolay Osyaev, Natalia Ivannikova, Grigory Vavin, Vadim Moses, Viacheslav Danilov, Egor Komossky, Kirill Klyshnikov
Publikováno v:
Journal of Cardiovascular Development and Disease, Vol 10, Iss 2, p 39 (2023)
Here, we performed a multicenter, age- and sex-matched study to compare the efficiency of various machine learning algorithms in the prediction of COVID-19 fatal outcomes and to develop sensitive, specific, and robust artificial intelligence tools fo
Externí odkaz:
https://doaj.org/article/0a96dfd58cfc4f25821e380e06f92380
Autor:
Evgeny Ovcharenko, Maria Rezvova, Pavel Nikishau, Sergei Kostjuk, Tatiana Glushkova, Larisa Antonova, Dmitry Trebushat, Tatiana Akentieva, Daria Shishkova, Evgeniya Krivikina, Kirill Klyshnikov, Yulia Kudryavtseva, Leonid Barbarash
Publikováno v:
Applied Sciences, Vol 9, Iss 22, p 4773 (2019)
Superior polymers represent a promising alternative to mechanical and biological materials commonly used for manufacturing artificial heart valves. The study is aimed at assessing poly(styrene-block-isobutylene-block-styrene) (SIBS) properties and co
Externí odkaz:
https://doaj.org/article/549984468709458e9bb2d1da6f44b4bc
Autor:
Viacheslav Danilov, Kirill Klyshnikov, Olga Gerget, Anton Kutikhin, Vladimir Ganyukov, Alejandro Frangi, Evgeny Ovcharenko
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 stenoses may fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1652dfad6f57833a124562773ba4318
https://doi.org/10.21203/rs.3.rs-130610/v1
https://doi.org/10.21203/rs.3.rs-130610/v1
Publikováno v:
Mathematical Biology and Bioinformatics. 12:559-569
The paper describes aspects of the application of numerical simulation of fluid flows in clinical medicine with interventions on the human vascular system. The modeling method used in the study is verified using the data of the doppler sonography of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db2656377e6ad5cd4b0c4193d5bfc7e3
https://doi.org/10.17537/2017.12.559
https://doi.org/10.17537/2017.12.559
Autor:
Kirill Klyshnikov
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9433901424d30ab4444e482163727714
http://www.scopus.com/inward/record.url?eid=2-s2.0-84901718286&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84901718286&partnerID=MN8TOARS