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

Chongyu Qu

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

Pageof 1
Sort By:
Journal of Medical Imaging (Bellingham, Wash.)|February 19, 2026
MedPTQ: a practical pipeline for real post-training quantization in 3D medical image segmentationChongyu Qu, Ritchie Zhao, Ye Yu, et al.
Proceedings of Spie--The International Society for Optical Engineering|April 16, 2026
Cohort-Aware Agents for Individualized Lung Cancer Risk Prediction Using a Retrieval-Augmented Model Selection FrameworkChongyu Qu, Allen J Luna, Thomas Z Li, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 10, 2025
Img2ST-Net: efficient high-resolution spatial omics prediction from whole-slide histology images via fully convolutional image-to-image learningJunchao Zhu, Ruining Deng, Junlin Guo, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 6, 2025
ZeroReg3D: a zero-shot registration pipeline for 3D consecutive histopathology image reconstructionJuming Xiong, Ruining Deng, Jialin Yue, et al.
Arxiv|November 19, 2025
Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation ModelsRunchen Wang, Junlin Guo, Siqi Lu, et al.
Briefings in Bioinformatics|May 25, 2026
A comprehensive survey of computer vision methods for spatial transcriptomicsJunchao Zhu, Ruining Deng, Junlin Guo, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Computer Vision Methods for Spatial Transcriptomics: A SurveyJunchao Zhu, Ruining Deng, Junlin Guo, et al.
Medical Image Analysis|August 8, 2024
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarkingWenxuan Li, Chongyu Qu, Xiaoxi Chen, et al.
Biomedizinische Technik. Biomedical Engineering|December 29, 2024
<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer visionJianning Li, Zongwei Zhou, Jiancheng Yang, et al.
Pageof 1

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

Sort By:
Pageof 1
Journal of Medical Imaging (Bellingham, Wash.)|February 19, 2026
MedPTQ: a practical pipeline for real post-training quantization in 3D medical image segmentationChongyu Qu, Ritchie Zhao, Ye Yu, et al.
Proceedings of Spie--The International Society for Optical Engineering|April 16, 2026
Cohort-Aware Agents for Individualized Lung Cancer Risk Prediction Using a Retrieval-Augmented Model Selection FrameworkChongyu Qu, Allen J Luna, Thomas Z Li, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 10, 2025
Img2ST-Net: efficient high-resolution spatial omics prediction from whole-slide histology images via fully convolutional image-to-image learningJunchao Zhu, Ruining Deng, Junlin Guo, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 6, 2025
ZeroReg3D: a zero-shot registration pipeline for 3D consecutive histopathology image reconstructionJuming Xiong, Ruining Deng, Jialin Yue, et al.
Arxiv|November 19, 2025
Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation ModelsRunchen Wang, Junlin Guo, Siqi Lu, et al.
Briefings in Bioinformatics|May 25, 2026
A comprehensive survey of computer vision methods for spatial transcriptomicsJunchao Zhu, Ruining Deng, Junlin Guo, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Computer Vision Methods for Spatial Transcriptomics: A SurveyJunchao Zhu, Ruining Deng, Junlin Guo, et al.
Medical Image Analysis|August 8, 2024
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarkingWenxuan Li, Chongyu Qu, Xiaoxi Chen, et al.
Biomedizinische Technik. Biomedical Engineering|December 29, 2024
<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer visionJianning Li, Zongwei Zhou, Jiancheng Yang, et al.
Pageof 1