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

Leixin Zhou

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Biomedical Optics Express|January 8, 2019
Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT imagesAbhay Shah, Leixin Zhou, Michael D Abrámoff, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 26, 2019
IMPROVING TUMOR CO-SEGMENTATION ON PET-CT IMAGES WITH 3D CO-MATTINGZisha Zhong, Yusung Kim, Leixin Zhou, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 28, 2019
3D FULLY CONVOLUTIONAL NETWORKS FOR CO-SEGMENTATION OF TUMORS ON PET-CT IMAGESZisha Zhong, Yusung Kim, Leixin Zhou, et al.
Medical Physics|December 12, 2018
Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networksZisha Zhong, Yusung Kim, Kristin Plichta, et al.
Plant Cell Reports|May 1, 2026
Dynamic characterization of graft union formation in Sapindus mukorossi: role of SmNDUFS4Lixian Wang, Yafei Wang, Na Chen, et al.
Optics Express|February 25, 2022
Globally optimal OCT surface segmentation using a constrained IPM optimizationHui Xie, Zhe Pan, Leixin Zhou, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Biomedical Optics Express|January 8, 2019
Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT imagesAbhay Shah, Leixin Zhou, Michael D Abrámoff, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 26, 2019
IMPROVING TUMOR CO-SEGMENTATION ON PET-CT IMAGES WITH 3D CO-MATTINGZisha Zhong, Yusung Kim, Leixin Zhou, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 28, 2019
3D FULLY CONVOLUTIONAL NETWORKS FOR CO-SEGMENTATION OF TUMORS ON PET-CT IMAGESZisha Zhong, Yusung Kim, Leixin Zhou, et al.
Medical Physics|December 12, 2018
Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networksZisha Zhong, Yusung Kim, Kristin Plichta, et al.
Plant Cell Reports|May 1, 2026
Dynamic characterization of graft union formation in Sapindus mukorossi: role of SmNDUFS4Lixian Wang, Yafei Wang, Na Chen, et al.
Optics Express|February 25, 2022
Globally optimal OCT surface segmentation using a constrained IPM optimizationHui Xie, Zhe Pan, Leixin Zhou, et al.
Pageof 1