1 citations · 2 across the 7 of their papers we have counts for
8 papers
Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
Chenhe Du, Xuanyu Tian, Qing Wu +4
Plug-and-Play diffusion prior (PnPDP) frameworks have emerged as a powerful paradigm for solving imaging inverse problems by treating pretrained generative models as modular priors…
XDen-1K: A Density Field Dataset of Real-World Objects
Jingxuan Zhang, Tianqi Yu, Yatu Zhang +6
A deep understanding of the physical world is essential for robotic manipulation and physically realistic simulation. While current methods, including VLM-based and other learning-…
SPIDER: Structure-Preferential Implicit Deep Network for Biplanar X-ray Reconstruction
Tianqi Yu, Xuanyu Tian, Jiawen Yang +4
Biplanar X-ray imaging is widely used in health screening, postoperative rehabilitation evaluation of orthopedic diseases, and injury surgery due to its rapid acquisition, low radi…
Super-temporal-resolution Photoacoustic Imaging with Dynamic Reconstruction through Implicit Neural Representation in Sparse-view
Youshen Xiao, Yiling Shi, Ruixi Sun +3
Dynamic Photoacoustic Computed Tomography (PACT) is an important imaging technique for monitoring physiological processes, capable of providing high-contrast images of optical abso…
Resolution Enhancement of Under-sampled Photoacoustic Microscopy Images using Implicit Neural Representations
Youshen Xiao, Sheng Liao, Xuanyang Tian +7
Acoustic-Resolution Photoacoustic Microscopy (AR-PAM) is promising for subcutaneous vascular imaging, but its spatial resolution is constrained by the Point Spread Function (PSF).…
Implicit Neural Representation for Sparse-view Photoacoustic Computed Tomography
Bowei Yao, Shilong Cui, Haizhao Dai +6
High-quality imaging in photoacoustic computed tomography (PACT) usually requires a high-channel count system for dense spatial sampling around the object to avoid aliasing-related…
Limited-View Photoacoustic Imaging Reconstruction Via High-quality Self-supervised Neural Representation
Youshen xiao, Yuting Shen, Bowei Yao +3
In practical applications within the human body, it is often challenging to fully encompass the target tissue or organ, necessitating the use of limited-view arrays, which can lead…
Sparse-view Signal-domain Photoacoustic Tomography Reconstruction Method Based on Neural Representation
Bowei Yao, Yi Zeng, Haizhao Dai +6
Photoacoustic tomography is a hybrid biomedical technology, which combines the advantages of acoustic and optical imaging. However, for the conventional image reconstruction method…