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Author

Hai-Jun Yu

2 papers indexed here

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Preprint Sep 2026

SONAR: A Structure-Consistent Neural Operator for Null-Space-Aware Sparse View CT Reconstruction

ONAR is proposed, a Structure-Consistent Neural Operator for Null-Space-Aware Reconstruction that predicts a low-dimensional null-space-aware representation from the acquired projections as pseudo-measurements, demonstrating accurate, structurally reliable, and discretization-robust sparse-view CT reconstruction.

Song Ni, Hai-Jun Yu, Hao-Dong Li et al. · 0 citations
Open access Sep 2026

Self-cascade latent Schrödinger bridge for CT field-of-view extension

SCL-SB addresses the posterior-mean regression that blurs high-frequency anatomical detail in ill-posed FOV extrapolation, produces spatially continuous Hounsfield unit reconstructions free of the patch-boundary discontinuities introduced by Vision-transformer-based architectures, and avoids the spectral hallucination...

Xi-Hao Wu, Jia-Cheng Liu, Hai-Jun Yu et al. · 0 citations

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