8 citations · 16 across the 10 of their papers we have counts for
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cs.LG2023★ 1 cited
Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems
Qingping Zhou, Jiayu Qian, Junqi Tang +1
Combining the strengths of model-based iterative algorithms and data-driven deep learning solutions, deep unrolling networks (DuNets) have become a popular tool to solve inverse im…
eess.IV2023
MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction
Chen Cheng, Qingping Zhou
This paper investigates the application of unsupervised learning methods for computed tomography (CT) reconstruction. To motivate our work, we review several existing priors, namel…
cs.CV2023★ 6 cited
Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson Acceleration
Guixian Xu, Huihui Wang, Qingping Zhou
Electrical Impedance Tomography (EIT) is widely applied in medical diagnosis, industrial inspection, and environmental monitoring. Combining the physical principles of the imaging…