1 citations · 1 across the 10 of their papers we have counts for
4 papers · 1 filter
PLOT-CT: Pre-log Voronoi Decomposition Assisted Generation for Low-dose CT Reconstruction
Bin Huang, Xun Yu, Yikun Zhang +3
Low-dose computed tomography (LDCT) reconstruction is fundamentally challenged by severe noise and compromised data fidelity under reduced radiation exposure. Most existing methods…
ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain
Bin Huang, Kang Chen, Bingxuan Li +2
Building large-scale foundation model for PET imaging is hindered by limited access to labeled data and insufficient computational resources. To overcome data scarcity and efficien…
Diffusion Transformer Meets Random Masks: An Advanced PET Reconstruction Framework
Bin Huang, Binzhong He, Yanhan Chen +4
Deep learning has significantly advanced PET image re-construction, achieving remarkable improvements in image quality through direct training on sinogram or image data. Traditiona…
Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction
Bin Huang, Xubiao Liu, Lei Fang +2
Positron emission tomography (PET) is an advanced medical imaging technique that plays a crucial role in non-invasive clinical diagnosis. However, while reducing radiation exposure…