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Zexin Lu

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

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IEEE Transactions on Neural Networks and Learning Systems|December 15, 2023
Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT ImagingZiyuan Yang, Wenjun Xia, Zexin Lu, et al.
IEEE Transactions on Medical Imaging|June 4, 2021
CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose LevelsWenjun Xia, Zexin Lu, Yongqiang Huang, et al.
Optics Express|May 5, 2019
Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial networkYongqiang Huang, Zexin Lu, Zhimin Shao, et al.
IEEE Transactions on Medical Imaging|November 3, 2022
M<sub>3</sub>NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT DenoisingZexin Lu, Wenjun Xia, Yongqiang Huang, et al.
IEEE Transactions on Medical Imaging|October 6, 2025
SMART: Self-supervised Learning for Metal Artifact Reduction in Computed Tomography Using Range Null Space DecompositionTao Wang, Yanxin Cao, Zexin Lu, et al.
IEEE Transactions on Medical Imaging|December 16, 2020
Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography ImagesYongqiang Huang, Wenjun Xia, Zexin Lu, et al.
IEEE Transactions on Medical Imaging|June 10, 2021
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT ReconstructionWenjun Xia, Zexin Lu, Yongqiang Huang, et al.
Pageof 1

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

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|December 15, 2023
Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT ImagingZiyuan Yang, Wenjun Xia, Zexin Lu, et al.
IEEE Transactions on Medical Imaging|June 4, 2021
CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose LevelsWenjun Xia, Zexin Lu, Yongqiang Huang, et al.
Optics Express|May 5, 2019
Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial networkYongqiang Huang, Zexin Lu, Zhimin Shao, et al.
IEEE Transactions on Medical Imaging|November 3, 2022
M<sub>3</sub>NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT DenoisingZexin Lu, Wenjun Xia, Yongqiang Huang, et al.
IEEE Transactions on Medical Imaging|October 6, 2025
SMART: Self-supervised Learning for Metal Artifact Reduction in Computed Tomography Using Range Null Space DecompositionTao Wang, Yanxin Cao, Zexin Lu, et al.
IEEE Transactions on Medical Imaging|December 16, 2020
Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography ImagesYongqiang Huang, Wenjun Xia, Zexin Lu, et al.
IEEE Transactions on Medical Imaging|June 10, 2021
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT ReconstructionWenjun Xia, Zexin Lu, Yongqiang Huang, et al.
Pageof 1