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

Mark G Eramian

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Evaluation of texture features for analysis of ovarian follicular developmentNa Bian, Mark G Eramian, Roger A Pierson
Plant Phenomics (Washington, D.C.)|April 11, 2023
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant PhenotypingFranklin C Ogidi, Mark G Eramian, Ian Stavness
Reproduction, Fertility, and Development|December 14, 2007
Enhancing ultrasound texture differences for developing an in vivo 'virtual histology' approach to bovine ovarian imagingMark G Eramian, Gregg P Adams, Roger A Pierson
Medical & Biological Engineering & Computing|December 12, 2012
Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patternsMeng Dong, Mark G Eramian, Simone A Ludwig, et al.
Reproductive Biology and Endocrinology : RB&E|August 6, 2008
Level set segmentation of bovine corpora lutea in ex situ ovarian ultrasound imagesBrennan J Rusnell, Roger A Pierson, Jaswant Singh, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Evaluation of texture features for analysis of ovarian follicular developmentNa Bian, Mark G Eramian, Roger A Pierson
Plant Phenomics (Washington, D.C.)|April 11, 2023
Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant PhenotypingFranklin C Ogidi, Mark G Eramian, Ian Stavness
Reproduction, Fertility, and Development|December 14, 2007
Enhancing ultrasound texture differences for developing an in vivo 'virtual histology' approach to bovine ovarian imagingMark G Eramian, Gregg P Adams, Roger A Pierson
Medical & Biological Engineering & Computing|December 12, 2012
Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patternsMeng Dong, Mark G Eramian, Simone A Ludwig, et al.
Reproductive Biology and Endocrinology : RB&E|August 6, 2008
Level set segmentation of bovine corpora lutea in ex situ ovarian ultrasound imagesBrennan J Rusnell, Roger A Pierson, Jaswant Singh, et al.
Pageof 1