Ming Li

发表

A prior-based metal artifact reduction algorithm for x-ray CT.

Ming Li, Jian Zheng, Tao Zhang, 2015, Journal of X-ray science and technology.

Comparison of Diagnostic Test Accuracy of Cone-Beam Breast Computed Tomography and Digital Breast Tomosynthesis for Breast Cancer: A Systematic Review and Meta-Analysis Approach

Ming Li, Jian Zheng, Xiaodong Yang, 2022, Sensors.

Unsupervised learning for deformable registration of thoracic CT and cone-beam CT based on multi-scale features matching with spatially adaptive weighting.

Ming Li, Qi Liu, Gang Yuan, 2020, Medical physics.

3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection

Shandong Wu, Ming Li, Yunsong Peng, 2020, IEEE Journal of Biomedical and Health Informatics.

An Irregular Metal Trace Inpainting Network for X-ray CT Metal Artifact Reduction.

Ming Li, Bensheng Qiu, Bin Li, 2020, Medical physics.

IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation

Bensheng Qiu, Jian Zheng, Bin Li, 2021, Comput. Medical Imaging Graph..

Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squares

Ming Li, Cheng Zhang, Jian Zheng, 2016, BioMedical Engineering OnLine.

Smoothed L0-Constraint Dictionary Learning for Low-Dose X-Ray CT Reconstruction

Qiang Du, Gang Yuan, Xiaodong Yang, 2020, IEEE Access.

Domain Adaptive Denoising Network for Low-Dose CT via Noise Estimation and Transfer Learning.

B. Tsui, Ming Li, Jian Zheng, 2022, Medical physics.

Gaussian diffusion sinogram inpainting for X-ray CT metal artifact reduction

Ming Li, Jian Zheng, Y. Guan, 2017, Biomedical engineering online.

Incorporation of residual attention modules into two neural networks for low-dose CT denoising.

Ming Li, Jian Zheng, Xiaodong Yang, 2021, Medical physics.

A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising

Ming Li, Jian Zheng, Xiaodong Yang, 2023, Comput. Medical Imaging Graph..

X-ray CT image denoising with MINF: A modularized iterative network framework for data from multiple dose levels

Ming Li, Jian Zheng, Xiaowen Hou, 2022, Comput. Biol. Medicine.

CCN-CL: A content-noise complementary network with contrastive learning for low-dose computed tomography denoising

Ming Li, Jian Zheng, Xiaodong Yang, 2022, Comput. Biol. Medicine.

Smoothed l 0 Norm Regularization for Sparse-View X-Ray CT Reconstruction

Ming Li, Cheng Zhang, Jian Zheng, 2016, BioMed research international.

Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squares

Ming Li, Jian Zheng, Tao Zhang, 2016, Biomedical engineering online.

Material decomposition for simulated dual-energy breast computed tomography via hybrid optimization method.

Ming Li, Jian Zheng, Xiaodong Yang, 2020, Journal of X-ray science and technology.

Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning

B. Tsui, Ming Li, Jian Zheng, 2023, IEEE Transactions on Medical Imaging.

GPU-Accelerated Dynamic Wavelet Thresholding Algorithm for X-Ray CT Metal Artifact Reduction

Ming Li, Cheng Zhang, Bensheng Qiu, 2018, IEEE Transactions on Radiation and Plasma Medical Sciences.

A new imaging mode based on X-ray CT as prior image and sparsely sampled projections for rapid clinical proton CT

Ming Li, Jian Zheng, Xiao-Xia Huang, 2023, Nuclear Science and Techniques.