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Jin-Xin Luo

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Sep 2026

CSRCT: Generalized sparse regularization and convolutional sparse representation for low-dose CT reconstruction.

Although low-dose CT can effectively reduce radiation risk, the projections are contaminated by quantum noise, resulting in severe noise and artifacts in the reconstructed image, which in turn compromises the accuracy of clinical diagnosis. To tackle this problem, we propose a reconstruction network, termed CSRCT, whic...

Jin-Xin Luo, Tao Wang, Ting-Yu Liu et al. · 0 citations

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