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

Qingshan Hou

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

Pageof 1
Sort By:
Computers in Biology and Medicine|March 13, 2022
Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal imagesPeng Cao, Qingshan Hou, Ruoxian Song, et al.
IEEE Journal of Biomedical and Health Informatics|April 4, 2023
Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy GradingQingshan Hou, Peng Cao, Liyu Jia, et al.
IEEE Transactions on Medical Imaging|February 19, 2024
A Collaborative Self-supervised Domain Adaptation for Low-Quality Medical Image EnhancementQingshan Hou, Yaqi Wang, Peng Cao, et al.
Ophthalmology Science|October 27, 2025
Can a Natural Image-Based Foundation Model Outperform a Retina-Specific Model in Detecting Ocular and Systemic Diseases?Qingshan Hou, Yukun Zhou, Jocelyn Hui Lin Goh, et al.
Nature Communications|March 1, 2026
Understanding pre-training data effects in retinal foundation models using two large fundus cohortsYukun Zhou, Zheyuan Wang, Yilan Wu, et al.
Pageof 1

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

Sort By:
Pageof 1
Computers in Biology and Medicine|March 13, 2022
Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal imagesPeng Cao, Qingshan Hou, Ruoxian Song, et al.
IEEE Journal of Biomedical and Health Informatics|April 4, 2023
Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy GradingQingshan Hou, Peng Cao, Liyu Jia, et al.
IEEE Transactions on Medical Imaging|February 19, 2024
A Collaborative Self-supervised Domain Adaptation for Low-Quality Medical Image EnhancementQingshan Hou, Yaqi Wang, Peng Cao, et al.
Ophthalmology Science|October 27, 2025
Can a Natural Image-Based Foundation Model Outperform a Retina-Specific Model in Detecting Ocular and Systemic Diseases?Qingshan Hou, Yukun Zhou, Jocelyn Hui Lin Goh, et al.
Nature Communications|March 1, 2026
Understanding pre-training data effects in retinal foundation models using two large fundus cohortsYukun Zhou, Zheyuan Wang, Yilan Wu, et al.
Pageof 1