Author

Mingqiang Meng

Observed name: MingQiang Meng

Institutions: PLA Army Engineering University, Guilin University of Electronic Technology

Observed institutions: PLA Army Engineering University, Guilin University of Electronic Technology, Southern Medical University

ORCID: 0000-0003-2076-5441

Observed ORCIDs: 0000-0003-2076-5441, 0000-0002-8287-8612

OpenAlex ID: A5101502288

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

2020 · Mingqiang Meng, Sui Li, et al. · SPIE Medical Imaging: Physics of Medical Imaging · 21

b-MAR: bidirectional artifact representations learning framework for metal artifact reduction in dental CBCT

2024 · Yuyan Song, Tianyi Yao, et al. · Physics in Medicine and Biology · 13

PDF

DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation

2024 · Mingqiang Meng, Yongbo Wang, et al. · IEEE Journal of Biomedical and Health Informatics · 11

Semi-centralized federated learning network for low-dose CT imaging

2023 · Danyang Li, Hao Wang, et al. · SPIE Medical Imaging: Physics of Medical Imaging · 7

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

2020 · Lei Wang, Qi Gao, et al. · SPIE Medical Imaging: Physics of Medical Imaging · 6

Imaging features and deep learning for prediction of pulmonary epithelioid hemangioendothelioma in CT images

2024 · Junfeng Huang, Shuojia Xie, et al. · Journal of Thoracic Disease · 5

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

2020 · Mingqiang Meng, Danyang Li, et al. · SPIE Medical Imaging: Physics of Medical Imaging · 4

Robust multi-institution low-dose CT imaging with semi-supervised federated learning network

2023 · Danyang Li, Cuidie Zeng, et al. · SPIE Medical Imaging: Physics of Medical Imaging · 3

VVBP-tensor-based deep learning framework for high-attenuation artifact reduction in digital breast tomosynthesis

2023 · Manman Zhu, Chen Wang, et al. · SPIE Medical Imaging: Physics of Medical Imaging · 2

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

2019 · Lei Wang, Sui Li, et al. · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · 2

Practical prescribed-time scaled consensus of second-order multi-agent systems via event-triggered and time-based generator approaches

2026 · Mingqiang Meng, Luke Li, et al. · Communications in Nonlinear Science and Numerical Simulation · 1

Dynamic Event-Triggered Prescribed-Time Consensus of Second-Order Multi-Agent Systems Under Disconnected Time-Varying Topologies

2026 · Mingqiang Meng, Qintao Gan, et al. · Mathematics · 1

PDF

Improved fixed-time consensus of delayed nonlinear leader–follower multi-agent systems: A new stability approach

2026 · Mingqiang Meng, Qintao Gan, et al. · Nonlinear Analysis Modelling and Control · 1

PDF

Semi-supervised iterative adaptive network for low-dose CT sinogram recovery

2024 · Lei Wang, Mingqiang Meng, et al. · Physics in Medicine and Biology · 1

Deep boosting projection completion network for sparse-view helical CT reconstruction

2026 · Zerui Mao, Mingqiang Meng, et al. · Pattern Recognition

Unified-distribution residual diffusion model for cross-scanner generalizable low-dose CT denoising

2026 · Siman Huang, Siyuan Ma, et al. · Physics in Medicine and Biology

Event-triggered fixed-time consensus tracking of nonlinear delayed multi-agent systems with disturbances under switching topologies

2026 · Mingqiang Meng, Kaiquan Xiang, et al. · AIMS Mathematics

PDF

Towards Unified CT Reconstruction: Federated Metadata Learning With Personalized Condition-Modulated iRadonMAP

2025 · Hao Wang, Mingqiang Li, et al. · IEEE Transactions on Radiation and Plasma Medical Sciences

Dual-domain projection fidelity network for sparse-view helical CT reconstruction

2023 · Zerui Mao, Yongbo Wang, et al. · SPIE Medical Imaging: Physics of Medical Imaging

Bayesian ensemble learning with denoiser pool for low-dose CT reconstruction

2023 · MingQiang Meng, Yongbo Wang, et al. · SPIE Medical Imaging: Physics of Medical Imaging

Dual-task learning for low-dose CT simulation and denoising

2022 · Mingqiang Meng, Yongbo Wang, et al. · International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting)

PDF

Works count: 21

Citation count: 78

H-index: 5

I10-index: 3