Shanli Zhang

发表

An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial–Temporal Total Variation Regularization

Zhaoying Bian, Sui Li, Dong Zeng, 2019, IEEE Transactions on Medical Imaging.

Identification of Train Wheel Flat Accounting for Measurement and Modeling Uncertainties

Wen-Jun Cao, Ian F. C. Smith, Shanli Zhang, 2019 .

Unsupervised data fidelity enhancement network for spectral CT reconstruction

Jianhua Ma, Sui Li, Danyang Li, 2020 .

Design of the Intelligent Quick Charger

Shanli Zhang, Yuanze Ma, Xiuxia Zhang, 2018, 2018 IEEE International Conference of Safety Produce Informatization (IICSPI).

Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization

Zhaoying Bian, Wufan Chen, Zhengrong Liang, 2017, IEEE Transactions on Medical Imaging.

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

Jianhua Ma, Sui Li, Lisha Yao, 2020 .

Threshold choices of Huber regularization using global- and local-edge-detecting operators for x-ray computed tomographic reconstruction

Jing Huang, Jianhua Ma, Zhaoying Bian, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Iterative reconstruction for low dose dual energy CT using information-divergence constrained spectral redundancy information.

Zhaoying Bian, Sui Li, Dong Zeng, 2018, Journal of X-ray science and technology.

Iterative reconstruction for dual energy CT with an average image-induced nonlocal means regularization

Jianhua Ma, Zhaoying Bian, Dong Zeng, 2017, Physics in medicine and biology.

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

Jianhua Ma, Sui Li, Danyang Li, 2020 .

Robust low-dose dynamic cerebral perfusion CT image restoration via coupled dictionary learning scheme.

Zhaoying Bian, Dong Zeng, Shanli Zhang, 2016, Journal of X-ray science and technology.

Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations

Jing Huang, Jianhua Ma, Zhaoying Bian, 2016, Neurocomputing.

Time series data interpretation for ‘wheel-flat’ identification including uncertainties:

Ian F. C. Smith, Shanli Zhang, Numa J. Bertola, 2019 .

High-fidelity image deconvolution for low-dose cerebral perfusion CT imaging via low-rank and total variation regularizations

Jianhua Ma, Sui Li, Dong Zeng, 2019, Neurocomputing.

Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning

Dong Zeng, Shanli Zhang, Jianhua Ma, 2021, IEEE Transactions on Medical Imaging.