3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 3 cited
LAMA-Net: A Convergent Network Architecture for Dual-Domain Reconstruction
Chi Ding, Qingchao Zhang, Ge Wang +2
We propose a learnable variational model that learns the features and leverages complementary information from both image and measurement domains for image reconstruction. In parti…
cs.CV2024★ 3 cited
LAMA: Stable Dual-Domain Deep Reconstruction For Sparse-View CT
Chi Ding, Qingchao Zhang, Ge Wang +2
Inverse problems arise in many applications, especially tomographic imaging. We develop a Learned Alternating Minimization Algorithm (LAMA) to solve such problems via two-block opt…
cs.CV2023
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction
Chi Ding, Qingchao Zhang, Ge Wang +2
We propose a novel Learned Alternating Minimization Algorithm (LAMA) for dual-domain sparse-view CT image reconstruction. LAMA is naturally induced by a variational model for CT re…