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

Philip Ogunbona

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 2, 2006
Recovering DC coefficients in block-based DCTTakeyuki Uehara, Reihaneh Safavi-Naini, Philip Ogunbona
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
Max-margin based learning for discriminative Bayesian network from neuroimaging dataLuping Zhou, Lei Wang, Lingqiao Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 6, 2016
Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging DataLuping Zhou, Lei Wang, Lingqiao Liu, et al.
Medical & Biological Engineering & Computing|December 10, 2017
A singular K-space model for fast reconstruction of magnetic resonance images from undersampled dataJianhua Luo, Zhiying Mou, Binjie Qin, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 2, 2006
Recovering DC coefficients in block-based DCTTakeyuki Uehara, Reihaneh Safavi-Naini, Philip Ogunbona
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
Max-margin based learning for discriminative Bayesian network from neuroimaging dataLuping Zhou, Lei Wang, Lingqiao Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 6, 2016
Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging DataLuping Zhou, Lei Wang, Lingqiao Liu, et al.
Medical & Biological Engineering & Computing|December 10, 2017
A singular K-space model for fast reconstruction of magnetic resonance images from undersampled dataJianhua Luo, Zhiying Mou, Binjie Qin, et al.
Pageof 1