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

Dinh-Hoan Trinh

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

Pageof 1
Sort By:
Computers in Biology and Medicine|January 30, 2022
Optical biopsy mapping on endoscopic image mosaics with a marker-free probeOmar Zenteno, Dinh-Hoan Trinh, Sylvie Treuillet, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 9, 2014
Novel example-based method for super-resolution and denoising of medical imagesDinh-Hoan Trinh, Marie Luong, Francoise Dibos, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learningAdriana Martinez, Dinh-Hoan Trinh, Jonathan El Beze, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Assessing deep learning methods for the identification of kidney stones in endoscopic imagesFrancisco Lopez, Andres Varelo, Oscar Hinojosa, et al.
Pageof 1

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

Sort By:
Pageof 1
Computers in Biology and Medicine|January 30, 2022
Optical biopsy mapping on endoscopic image mosaics with a marker-free probeOmar Zenteno, Dinh-Hoan Trinh, Sylvie Treuillet, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 9, 2014
Novel example-based method for super-resolution and denoising of medical imagesDinh-Hoan Trinh, Marie Luong, Francoise Dibos, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learningAdriana Martinez, Dinh-Hoan Trinh, Jonathan El Beze, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Assessing deep learning methods for the identification of kidney stones in endoscopic imagesFrancisco Lopez, Andres Varelo, Oscar Hinojosa, et al.
Pageof 1