2 papers
eess.IV2026
A deep dictionary network-based foundation model for ultra-low-dose CT denoising
Baoshun Shi, Shuangyi Yang, Ke Jiang +3
Ultra-low-dose computed tomography (ULDCT) reduces radiation exposure but suffers from severe noise that degrades diagnostic image quality. Existing deep learning-based denoising m…
cs.CV2025
Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR
Baoshun Shi, Bing Chen, Shaolei Zhang +2
Low-dose CT (LDCT) is capable of reducing X-ray radiation exposure, but it will potentially degrade image quality, even yields metal artifacts at the case of metallic implants. For…