Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

I A Matveev

Showing results (11-20 of 13) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 13 results.
Khirurgiia|September 13, 2024
[Analysis of learning curves for mini-gastric bypass in 341 patients with obesity]I A Matveev, I B Popov, A M Mashkin, et al.
Zhurnal Nevrologii I Psikhiatrii Imeni S.S. Korsakova|December 22, 2017
[Risk assessment of thrombotic events in patients with schizophrenia and schizoaffective disorder in the acute state: the 'fibrinodynamics' technology]O S Brusov, I A Matveev, P S Kirillov, et al.
Zhurnal Nevrologii I Psikhiatrii Imeni S.S. Korsakova|September 5, 2021
[Application of machine learning for predicting the outcome of treatment of patients with schizophrenia according to the indicators of «Thrombodynamics» test]O S Brusov, O V Senko, M S Kodryan, et al.
Pageof 2

Showing results (11-20 of 13) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 13 results.
Khirurgiia|September 13, 2024
[Analysis of learning curves for mini-gastric bypass in 341 patients with obesity]I A Matveev, I B Popov, A M Mashkin, et al.
Zhurnal Nevrologii I Psikhiatrii Imeni S.S. Korsakova|December 22, 2017
[Risk assessment of thrombotic events in patients with schizophrenia and schizoaffective disorder in the acute state: the 'fibrinodynamics' technology]O S Brusov, I A Matveev, P S Kirillov, et al.
Zhurnal Nevrologii I Psikhiatrii Imeni S.S. Korsakova|September 5, 2021
[Application of machine learning for predicting the outcome of treatment of patients with schizophrenia according to the indicators of «Thrombodynamics» test]O S Brusov, O V Senko, M S Kodryan, et al.
Pageof 2