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

Shoujin Huang

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Scientific Reports|July 19, 2024
Exploring deep learning strategies for intervertebral disc herniation detection on veterinary MRIShoujin Huang, Guoxiong Deng, Yan Kang, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 19, 2025
Tailored self-supervised pretraining improves brain MRI diagnostic modelsXinhao Huang, Zihao Wang, Weichen Zhou, et al.
Computers in Biology and Medicine|December 25, 2021
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasksHaseeb Hassan, Zhaoyu Ren, Huishi Zhao, et al.
Frontiers in Medicine|April 23, 2026
Automated interpretation of fundus fluorescein angiography with multi-retinal vascular lesion segmentationZiwei Zhao, Shoujin Huang, Fan Song, et al.
Scientific Data|May 10, 2023
M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI researchMengye Lyu, Lifeng Mei, Shoujin Huang, et al.
IEEE Transactions on Medical Imaging|August 11, 2025
An Unsupervised Learning Approach for Reconstructing 3T-Like Images from 0.3T MRI Without Paired Training DataHuaishui Yang, Shaojun Liu, Yilong Liu, et al.
Medical Image Analysis|December 1, 2025
Robust simultaneous multislice MRI reconstruction using slice-wise learned generative diffusion priorsShoujin Huang, Guanxiong Luo, Yunlin Zhao, et al.
Medical Image Analysis|January 21, 2026
Predicting diabetic macular edema treatment responses using OCT: Dataset and methods of APTOS competitionWeiyi Zhang, Peranut Chotcomwongse, Yinwen Li, et al.
The Lancet. Digital Health|October 25, 2024
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challengeJun Ma, Yao Zhang, Song Gu, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Scientific Reports|July 19, 2024
Exploring deep learning strategies for intervertebral disc herniation detection on veterinary MRIShoujin Huang, Guoxiong Deng, Yan Kang, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 19, 2025
Tailored self-supervised pretraining improves brain MRI diagnostic modelsXinhao Huang, Zihao Wang, Weichen Zhou, et al.
Computers in Biology and Medicine|December 25, 2021
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasksHaseeb Hassan, Zhaoyu Ren, Huishi Zhao, et al.
Frontiers in Medicine|April 23, 2026
Automated interpretation of fundus fluorescein angiography with multi-retinal vascular lesion segmentationZiwei Zhao, Shoujin Huang, Fan Song, et al.
Scientific Data|May 10, 2023
M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI researchMengye Lyu, Lifeng Mei, Shoujin Huang, et al.
IEEE Transactions on Medical Imaging|August 11, 2025
An Unsupervised Learning Approach for Reconstructing 3T-Like Images from 0.3T MRI Without Paired Training DataHuaishui Yang, Shaojun Liu, Yilong Liu, et al.
Medical Image Analysis|December 1, 2025
Robust simultaneous multislice MRI reconstruction using slice-wise learned generative diffusion priorsShoujin Huang, Guanxiong Luo, Yunlin Zhao, et al.
Medical Image Analysis|January 21, 2026
Predicting diabetic macular edema treatment responses using OCT: Dataset and methods of APTOS competitionWeiyi Zhang, Peranut Chotcomwongse, Yinwen Li, et al.
The Lancet. Digital Health|October 25, 2024
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challengeJun Ma, Yao Zhang, Song Gu, et al.
Pageof 1