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

Yaolei Qi

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Medical Image Analysis|July 18, 2025
PathFL: Multi-alignment Federated Learning for pathology image segmentationYuan Zhang, Feng Chen, Yaolei Qi, et al.
Medical Image Analysis|June 23, 2026
Rethinking the detail-preserved completion of complex tubular structures based on point cloud: A dataset and a benchmarkYaolei Qi, Yikai Yang, Wenbo Peng, et al.
IEEE Journal of Biomedical and Health Informatics|December 4, 2023
STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR SegmentationXiaoming Qi, Yuting He, Yaolei Qi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 10, 2021
Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline ConstraintYaolei Qi, Han Xu, Yuting He, et al.
BMC Cardiovascular Disorders|July 16, 2024
Correction: Radiomics of pericoronary adipose tissue on computed tomography angiography predicts coronary heart disease in patients with type 2 diabetes mellitusShumei Miao, Feihong Yu, Rongrong Sheng, et al.
BMC Cardiovascular Disorders|June 12, 2024
Radiomics of pericoronary adipose tissue on computed tomography angiography predicts coronary heart disease in patients with type 2 diabetes mellitusShumei Miao, Feihong Yu, Rongrong Sheng, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 25, 2022
Automated segmentation of normal and diseased coronary arteries - The ASOCA challengeRamtin Gharleghi, Dona Adikari, Katy Ellenberger, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|July 18, 2025
PathFL: Multi-alignment Federated Learning for pathology image segmentationYuan Zhang, Feng Chen, Yaolei Qi, et al.
Medical Image Analysis|June 23, 2026
Rethinking the detail-preserved completion of complex tubular structures based on point cloud: A dataset and a benchmarkYaolei Qi, Yikai Yang, Wenbo Peng, et al.
IEEE Journal of Biomedical and Health Informatics|December 4, 2023
STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR SegmentationXiaoming Qi, Yuting He, Yaolei Qi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 10, 2021
Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline ConstraintYaolei Qi, Han Xu, Yuting He, et al.
BMC Cardiovascular Disorders|July 16, 2024
Correction: Radiomics of pericoronary adipose tissue on computed tomography angiography predicts coronary heart disease in patients with type 2 diabetes mellitusShumei Miao, Feihong Yu, Rongrong Sheng, et al.
BMC Cardiovascular Disorders|June 12, 2024
Radiomics of pericoronary adipose tissue on computed tomography angiography predicts coronary heart disease in patients with type 2 diabetes mellitusShumei Miao, Feihong Yu, Rongrong Sheng, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 25, 2022
Automated segmentation of normal and diseased coronary arteries - The ASOCA challengeRamtin Gharleghi, Dona Adikari, Katy Ellenberger, et al.
Pageof 1