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

Wenjia Bai

Showing results (1-10 of 105) with videos related to

Pageof 11
Sort By:
Phenomics (Cham, Switzerland)|March 10, 2025
Brain Imaging and Phenotyping for the China Phenobank ProjectWenjia Bai
Physics in Medicine and Biology|April 9, 2009
Regularized B-spline deformable registration for respiratory motion correction in PET imagesWenjia Bai, Michael Brady
IEEE Transactions on Medical Imaging|September 30, 2010
Motion correction and attenuation correction for respiratory gated PET imagesWenjia Bai, Michael Brady
Medical Image Analysis|October 10, 2014
Multi-atlas segmentation with augmented features for cardiac MR imagesWenjia Bai, Wenzhe Shi, Christian Ledig, et al.
Frontiers in Neuroscience|November 7, 2022
New lesion segmentation for multiple sclerosis brain images with imaging and lesion-aware augmentationBerke Doga Basaran, Paul M Matthews, Wenjia Bai
Luminescence : the Journal of Biological and Chemical Luminescence|November 10, 2020
Enhanced electrochemiluminescence of Ru(bpy)<sub>3</sub> <sup>2+</sup> -doped silica nanoparticles by chitosan/Nafion shell@carbon nanotube core-modified electrodeQiaoling Liu, Wenjia Bai, Zhihui Guo, et al.
IEEE Transactions on Medical Imaging|December 8, 2023
DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep LearningQingjie Meng, Wenjia Bai, Declan P O'Regan, et al.
Medical Image Analysis|November 20, 2022
Generative myocardial motion tracking via latent space exploration with biomechanics-informed priorChen Qin, Shuo Wang, Chen Chen, et al.
Medical Image Analysis|February 8, 2022
Suggestive annotation of brain MR images with gradient-guided samplingChengliang Dai, Shuo Wang, Yuanhan Mo, et al.
Journal of Medical Engineering|July 12, 2017
Automated Detection of Motion Artefacts in MR Imaging Using Decision ForestsBenedikt Lorch, Ghislain Vaillant, Christian Baumgartner, et al.
Pageof 11

Showing results (1-10 of 105) with videos related to

Sort By:
Pageof 11
Phenomics (Cham, Switzerland)|March 10, 2025
Brain Imaging and Phenotyping for the China Phenobank ProjectWenjia Bai
Physics in Medicine and Biology|April 9, 2009
Regularized B-spline deformable registration for respiratory motion correction in PET imagesWenjia Bai, Michael Brady
IEEE Transactions on Medical Imaging|September 30, 2010
Motion correction and attenuation correction for respiratory gated PET imagesWenjia Bai, Michael Brady
Medical Image Analysis|October 10, 2014
Multi-atlas segmentation with augmented features for cardiac MR imagesWenjia Bai, Wenzhe Shi, Christian Ledig, et al.
Frontiers in Neuroscience|November 7, 2022
New lesion segmentation for multiple sclerosis brain images with imaging and lesion-aware augmentationBerke Doga Basaran, Paul M Matthews, Wenjia Bai
Luminescence : the Journal of Biological and Chemical Luminescence|November 10, 2020
Enhanced electrochemiluminescence of Ru(bpy)<sub>3</sub> <sup>2+</sup> -doped silica nanoparticles by chitosan/Nafion shell@carbon nanotube core-modified electrodeQiaoling Liu, Wenjia Bai, Zhihui Guo, et al.
IEEE Transactions on Medical Imaging|December 8, 2023
DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep LearningQingjie Meng, Wenjia Bai, Declan P O'Regan, et al.
Medical Image Analysis|November 20, 2022
Generative myocardial motion tracking via latent space exploration with biomechanics-informed priorChen Qin, Shuo Wang, Chen Chen, et al.
Medical Image Analysis|February 8, 2022
Suggestive annotation of brain MR images with gradient-guided samplingChengliang Dai, Shuo Wang, Yuanhan Mo, et al.
Journal of Medical Engineering|July 12, 2017
Automated Detection of Motion Artefacts in MR Imaging Using Decision ForestsBenedikt Lorch, Ghislain Vaillant, Christian Baumgartner, et al.
Pageof 11