461 citations · 1.4k across the 40 of their papers we have counts for
40 papers
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT
Wenjun Xia, Yongyi Shi, Chuang Niu +2
Computed tomography (CT) involves a patient's exposure to ionizing radiation. To reduce the radiation dose, we can either lower the X-ray photon count or down-sample projection vie…
Image Reconstruction Using a Mixture Score Function (MSF)
Wenxiang Cong, Wenjun Xia, Ge Wang
Computed tomography (CT) reconstructs volumetric images using X-ray projection data acquired from multiple angles around an object. For low-dose or sparse-view CT scans, the classi…
Fluorescence Molecular Tomography for Quantum Yield and Lifetime
Wenxiang Cong, Ge Wang
Fluorescence molecular tomography (FMT) is a promising modality for non-invasive imaging of internal fluorescence agents in biological tissues especially in small animal models, wi…
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT
Wenjun Xia, Hsin Wu Tseng, Chuang Niu +6
Breast cancer is the most prevalent cancer among women worldwide, and early detection is crucial for reducing its mortality rate and improving quality of life. Dedicated breast com…
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
Wenjun Xia, Wenxiang Cong, Ge Wang
Sparse-view computed tomography (CT) can be used to reduce radiation dose greatly but is suffers from severe image artifacts. Recently, the deep learning based method for sparse-vi…
Phase function estimation from a diffuse optical image via deep learning
Yuxuan Liang, Chuang Niu, Chen Wei +3
The phase function is a key element of a light propagation model for Monte Carlo (MC) simulation, which is usually fitted with an analytic function with associated parameters. In r…