19 citations · 22 across the 10 of their papers we have counts for
5 papers · 1 filter
PoCGM: Poisson-Conditioned Generative Model for Sparse-View CT Reconstruction
Changsheng Fang, Yongtong Liu, Bahareh Morovati +3
In computed tomography (CT), reducing the number of projection views is an effective strategy to lower radiation exposure and/or improve temporal resolution. However, this often re…
Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
Haodong Li, Shuo Han, Haiyang Mao +5
Sparse-View CT (SVCT) reconstruction enhances temporal resolution and reduces radiation dose, yet its clinical use is hindered by artifacts due to view reduction and domain shifts…
Clinical Metadata Guided Limited-Angle CT Image Reconstruction
Yu Shi, Shuyi Fan, Changsheng Fang +6
Limited-angle computed tomography (LACT) offers improved temporal resolution and reduced radiation dose for cardiac imaging, but suffers from severe artifacts due to truncated proj…
Towards Human-AI Collaboration System for the Detection of Invasive Ductal Carcinoma in Histopathology Images
Shuo Han, Ahmed Karam Eldaly, Solomon Sunday Oyelere
Invasive ductal carcinoma (IDC) is the most prevalent form of breast cancer, and early, accurate diagnosis is critical to improving patient survival rates by guiding treatment deci…
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction
Changsheng Fang, Yongtong Liu, Bahareh Morovati +5
Sparse-view computed tomography (CT) is a practical solution to reduce radiation dose, but the resulting ill-posed inverse problem poses significant challenges for accurate image r…