collaborators

5 papers

cs.CV2026

Dual-Domain Self-Supervised Artifact Removal Framework for Photoacoustic Computed Tomography

Yucheng Zhou, Shuang Li, Yu Zhang +4

Photoacoustic Computed Tomography (PACT) often faces severe challenges from reconstruction artifacts due to sparse detection conditions. In this work, based on the distinct differe…

cs.CV2026

GPAIR: Gaussian-Kernel-Based Ultrafast 3D Photoacoustic Iterative Reconstruction

Yibing Wang, Shuang Li, Tingting Huang +4

Although the iterative reconstruction (IR) algorithm can substantially correct reconstruction artifacts in photoacoustic (PA) computed tomography (PACT), it suffers from long recon…

cs.CV2026

SlingBAG Pro: Accelerating point cloud-based iterative reconstruction for 3D photoacoustic imaging with arbitrary array geometries

Shuang Li, Yibing Wang, Jian Gao +6

High-quality three-dimensional (3D) photoacoustic imaging (PAI) is gaining increasing attention in clinical applications. To address the challenges of limited space and high costs,…

cs.CV2024

Zero-Shot Artifact2Artifact: Self-incentive artifact removal for photoacoustic imaging without any data

Shuang Li, Qian Chen, Chulhong Kim +4

Photoacoustic imaging (PAI) uniquely combines optical contrast with the penetration depth of ultrasound, making it critical for clinical applications. However, the quality of 3D PA…

cs.CV2024

4D SlingBAG: spatial-temporal coupled Gaussian ball for large-scale dynamic 3D photoacoustic iterative reconstruction

Shuang Li, Yibing Wang, Jian Gao +6

Large-scale dynamic three-dimensional (3D) photoacoustic imaging (PAI) is significantly important in clinical applications. In practical implementations, large-scale 3D real-time P…