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

Valentina Bellemo

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Journal of Biomedical Optics|February 18, 2025
Complex conjugate removal in optical coherence tomography using phase aware generative adversarial networkValentina Bellemo, Richard Haindl, Manojit Pramanik, et al.
Eye and Vision (London, England)|April 22, 2020
Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a reviewGilbert Lim, Valentina Bellemo, Yuchen Xie, et al.
Current Diabetes Reports|August 2, 2019
Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging ApplicationValentina Bellemo, Gilbert Lim, Tyler Hyungtaek Rim, et al.
NPJ Digital Medicine|May 4, 2024
Optical coherence tomography choroidal enhancement using generative deep learningValentina Bellemo, Ankit Kumar Das, Syna Sreng, et al.
The Lancet. Digital Health|December 17, 2020
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling studyYuchen Xie, Quang D Nguyen, Haslina Hamzah, et al.
Nature Biomedical Engineering|June 26, 2023
Posterior scleral birefringence measured by triple-input polarization-sensitive imaging as a biomarker of myopia progressionXinyu Liu, Liqin Jiang, Mengyuan Ke, et al.
NPJ Digital Medicine|March 29, 2020
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathyMichelle Y T Yip, Gilbert Lim, Zhan Wei Lim, et al.
The Lancet. Digital Health|December 16, 2020
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation studyValentina Bellemo, Zhan W Lim, Gilbert Lim, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Biomedical Optics|February 18, 2025
Complex conjugate removal in optical coherence tomography using phase aware generative adversarial networkValentina Bellemo, Richard Haindl, Manojit Pramanik, et al.
Eye and Vision (London, England)|April 22, 2020
Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a reviewGilbert Lim, Valentina Bellemo, Yuchen Xie, et al.
Current Diabetes Reports|August 2, 2019
Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging ApplicationValentina Bellemo, Gilbert Lim, Tyler Hyungtaek Rim, et al.
NPJ Digital Medicine|May 4, 2024
Optical coherence tomography choroidal enhancement using generative deep learningValentina Bellemo, Ankit Kumar Das, Syna Sreng, et al.
The Lancet. Digital Health|December 17, 2020
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling studyYuchen Xie, Quang D Nguyen, Haslina Hamzah, et al.
Nature Biomedical Engineering|June 26, 2023
Posterior scleral birefringence measured by triple-input polarization-sensitive imaging as a biomarker of myopia progressionXinyu Liu, Liqin Jiang, Mengyuan Ke, et al.
NPJ Digital Medicine|March 29, 2020
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathyMichelle Y T Yip, Gilbert Lim, Zhan Wei Lim, et al.
The Lancet. Digital Health|December 16, 2020
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation studyValentina Bellemo, Zhan W Lim, Gilbert Lim, et al.
Pageof 1