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Chengjin Yu

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

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Medical Image Analysis|February 15, 2023
Distilling sub-space structure across views for cardiac indices estimationChengjin Yu, Huafeng Liu, Heye Zhang
IEEE Transactions on Medical Imaging|February 8, 2024
Embedding Tasks Into the Latent Space: Cross-Space Consistency for Multi-Dimensional Analysis in EchocardiographyZhenxuan Zhang, Chengjin Yu, Heye Zhang, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 23, 2020
Pyramid feature adaptation for semi-supervised cardiac bi-ventricle segmentationChengjin Yu, Yuanting Yan, Shu Zhao, et al.
Physics in Medicine and Biology|June 13, 2023
Dynamic low-count PET image reconstruction using spatio-temporal primal dual networkRui Hu, Jianan Cui, Chenxu Li, et al.
Medical Image Analysis|February 14, 2026
Diversity-driven MG-MAE: Multi-granularity representation learning for non-salient object segmentationChengjin Yu, Bin Zhang, Chenchu Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 23, 2026
TTP-SSFL: Test-Time Personalization Self-Supervised Federated Learning for Accelerating MR Image ReconstructionChenghu Geng, Mingfeng Jiang, Dongsheng Ruan, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 21, 2020
Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse MappingChengjin Yu, Zhifan Gao, Weiwei Zhang, et al.
Medical Image Analysis|June 29, 2026
ContiMorph: An unsupervised learning framework for cardiac motion tracking with time-continuous diffeomorphismMingfeng Jiang, Xiaowei Ruan, Luyan Zheng, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 14, 2026
A deep cardiac motion field analysis approach via global 2nd-order kinematic graph modelingRuonan Xie, Puneng Xu, Xi Hu, et al.
Pageof 1

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

Sort By:
Pageof 1
Medical Image Analysis|February 15, 2023
Distilling sub-space structure across views for cardiac indices estimationChengjin Yu, Huafeng Liu, Heye Zhang
IEEE Transactions on Medical Imaging|February 8, 2024
Embedding Tasks Into the Latent Space: Cross-Space Consistency for Multi-Dimensional Analysis in EchocardiographyZhenxuan Zhang, Chengjin Yu, Heye Zhang, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 23, 2020
Pyramid feature adaptation for semi-supervised cardiac bi-ventricle segmentationChengjin Yu, Yuanting Yan, Shu Zhao, et al.
Physics in Medicine and Biology|June 13, 2023
Dynamic low-count PET image reconstruction using spatio-temporal primal dual networkRui Hu, Jianan Cui, Chenxu Li, et al.
Medical Image Analysis|February 14, 2026
Diversity-driven MG-MAE: Multi-granularity representation learning for non-salient object segmentationChengjin Yu, Bin Zhang, Chenchu Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 23, 2026
TTP-SSFL: Test-Time Personalization Self-Supervised Federated Learning for Accelerating MR Image ReconstructionChenghu Geng, Mingfeng Jiang, Dongsheng Ruan, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 21, 2020
Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse MappingChengjin Yu, Zhifan Gao, Weiwei Zhang, et al.
Medical Image Analysis|June 29, 2026
ContiMorph: An unsupervised learning framework for cardiac motion tracking with time-continuous diffeomorphismMingfeng Jiang, Xiaowei Ruan, Luyan Zheng, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 14, 2026
A deep cardiac motion field analysis approach via global 2nd-order kinematic graph modelingRuonan Xie, Puneng Xu, Xi Hu, et al.
Pageof 1