2 papers
cs.CV2026
Texture-preserving implicit neural representation for Cone beam CT truncated reconstruction
Genyuan Zhang, Junyao Wang, Haoran Lan +3
Cone-beam computed tomography (CBCT) frequently suffers from data truncation, which introduces severe artifacts and limits the effective field of view (FOV). Existing deep learning…
cs.CE2025
Wavelet-Optimized Motion Artifact Correction in 3D MRI Using Pre-trained 2D Score Priors
Genyuan Zhang, Xuyang Duan, Songtao Zhu +2
Motion artifacts in magnetic resonance imaging (MRI) remain a major challenge, as they degrade image quality and compromise diagnostic reliability. Score-based generative models (S…