Author

Y. Nakashima

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Preprint Aug 2026

CG-GLORE: A Conjugate Gradient-Based Global-Local Regularization Network for Sparse-View CT Reconstruction

Experiments on AAPM and DeepLesion under multiple sparse-view and noise settings show that CG-GLORE achieves strong quantitative performance, stable convergence, lower noise power, and improved visual fidelity compared with representative reconstruction methods.

Tran Xuan Hieu Le, D. C. Bui, V. Le et al. · 0 citations