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Author

Yu-Tong He

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Open access Oct 2026

Learned proximal gradient flow matching for limited-angle CT reconstruction.

OBJECTIVE The primary objective of this research is to address the challenges of limited-angle computed tomography (CT) reconstruction that arises when projection data are acquired over an angular range smaller than that required for theoretically exact reconstruction. This ill-posed problem leads to severe artifacts c...

Gen-Wei Ma, Di-Meng Xia, Yu-Tong He et al. · 0 citations
Preprint Oct 2026

Anatomy-preserving unpaired cone-beam CT refinement for image-guided radiotherapy using pseudo-label guided diffusion

Cone-beam computed tomography (CBCT) is widely used in image-guided radiotherapy, but scatter, beam hardening, noise, truncation, and other artifacts limit image quality and CT number accuracy. Paired CBCT and CT data are difficult to obtain clinically because of motion, anatomical changes, and acquisition mismatch. We...

Qi Lai, Yu-Tong He · 0 citations

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