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

Matan Rusanovsky

Showing results (1-10 of 2) with videos related to

Pageof 1
Sort By:
Scientific Reports|March 22, 2022
An end-to-end computer vision methodology for quantitative metallographyMatan Rusanovsky, Ofer Beeri, Gal Oren
Scientific Reports|July 1, 2026
Measurement-aware learning for reliable grain-boundary analysis in quantitative metallographyBoaz Meivar, Inbal Cohen, Matan Rusanovsky, et al.
Pageof 1

Showing results (1-10 of 2) with videos related to

Sort By:
Pageof 1
Scientific Reports|March 22, 2022
An end-to-end computer vision methodology for quantitative metallographyMatan Rusanovsky, Ofer Beeri, Gal Oren
Scientific Reports|July 1, 2026
Measurement-aware learning for reliable grain-boundary analysis in quantitative metallographyBoaz Meivar, Inbal Cohen, Matan Rusanovsky, et al.
Pageof 1