Dong Zeng

发表

Semi-supervised learned sinogram restoration network for low-dose CT image reconstruction

Mingqiang Meng, Sui Li, Lisha Yao, 2020 .

Task-driven Deep Learning Network for Dynamic Cerebral Perfusion Computed Tomography Protocol Determination

Sui Li, Danyang Li, Manman Zhu, 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Non-local texture learning approach for CT imaging problems using convolutional neural network

Jianhua Ma, Sui Li, Lisha Yao, 2020 .

Unsupervised data fidelity enhancement network for spectral CT reconstruction

Jianhua Ma, Sui Li, Danyang Li, 2020 .

Leveraging deep generative model for direct energy-resolving CT imaging via existing energy-integrating CT images

Jianhua Ma, Sui Li, Lisha Yao, 2020 .

Teacher-student Network for CT Image Reconstruction via Meta-learning Strategy

Sui Li, Danyang Li, Manman Zhu, 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

MDM-PCCT: Multiple Dynamic Modulations for High-Performance Spectral PCCT Imaging

Sui Li, Dong Zeng, Yongshuai Ge, 2020, IEEE Transactions on Medical Imaging.

Semi-supervised noise distribution learning for low-dose CT restoration

Jianhua Ma, Mingqiang Meng, Sui Li, 2020 .

Deep neural networks for low-dose CT image reconstruction via cooperative meta-learning strategy

Jianhua Ma, Sui Li, Danyang Li, 2020 .

Progressive transfer learning strategy for low-dose CT image reconstruction with limited annotated data

Jianhua Ma, Mingqiang Meng, Sui Li, 2020 .

Task-oriented Deep Network for Ischemic Stroke Segmentation in Unenhanced CT Imaging

Mingqiang Meng, Sui Li, Manman Zhu, 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Combined global and local information for blind CT image quality assessment via deep learning

Jianhua Ma, Sui Li, Danyang Li, 2020, Medical Imaging.

Blind CT Image Quality Assessment via Deep Learning Framework

Sui Li, Danyang Li, Manman Zhu, 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).