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

Yunbi Liu

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
Medical Image Analysis|October 26, 2021
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimagesYunbi Liu, Ling Yue, Shifu Xiao, et al.
Medical Image Analysis|April 30, 2021
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identificationHao Guan, Yunbi Liu, Erkun Yang, et al.
IEEE Journal of Biomedical and Health Informatics|April 4, 2017
Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge DetectorWei Yang, Yunbi Liu, Liyan Lin, et al.
Computer Methods and Programs in Biomedicine|August 21, 2019
Automatic delineation of ribs and clavicles in chest radiographs using fully convolutional DenseNetsYunbi Liu, Xiao Zhang, Guangwei Cai, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 4, 2024
Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive DeclineMinhui Yu, Yunbi Liu, Jinjian Wu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 22, 2025
Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive declineMinhui Yu, Yuqi Fang, Yunbi Liu, et al.
Medical Image Analysis|September 3, 2016
Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domainWei Yang, Yingyin Chen, Yunbi Liu, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 21, 2025
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion dataYunbi Liu, Dong Du, Yun Liu, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 2, 2023
Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction imagesYunbi Liu, Fengxia Zeng, Mengwei Ma, et al.
IEEE Journal of Biomedical and Health Informatics|July 12, 2019
Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation CorrectionLiming Zhong, Yanlin Chen, Xiao Zhang, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Medical Image Analysis|October 26, 2021
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimagesYunbi Liu, Ling Yue, Shifu Xiao, et al.
Medical Image Analysis|April 30, 2021
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identificationHao Guan, Yunbi Liu, Erkun Yang, et al.
IEEE Journal of Biomedical and Health Informatics|April 4, 2017
Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge DetectorWei Yang, Yunbi Liu, Liyan Lin, et al.
Computer Methods and Programs in Biomedicine|August 21, 2019
Automatic delineation of ribs and clavicles in chest radiographs using fully convolutional DenseNetsYunbi Liu, Xiao Zhang, Guangwei Cai, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 4, 2024
Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive DeclineMinhui Yu, Yunbi Liu, Jinjian Wu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 22, 2025
Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive declineMinhui Yu, Yuqi Fang, Yunbi Liu, et al.
Medical Image Analysis|September 3, 2016
Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domainWei Yang, Yingyin Chen, Yunbi Liu, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 21, 2025
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion dataYunbi Liu, Dong Du, Yun Liu, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 2, 2023
Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction imagesYunbi Liu, Fengxia Zeng, Mengwei Ma, et al.
IEEE Journal of Biomedical and Health Informatics|July 12, 2019
Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation CorrectionLiming Zhong, Yanlin Chen, Xiao Zhang, et al.
Pageof 2