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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.LG2026

Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data

Qishen Zhou, Yifan Zhang, Michail A. Makridis +3

Inferring network-wide traffic states from sparse observations with high accuracy and trustworthy uncertainty quantification is essential for intelligent transportation systems, ye…

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…

physics.optics2026

Analytical Expression for Spherically Symmetric Photoacoustic Sources: A Unified General Solution (Theoretical Analysis and Derivation)

Shuang Li, Yibing Wang, Yu Zhang +1

Here we present a comprehensive derivation of the analytical expression for the spatiotemporal acoustic pressure generated by photoacoustic sources with spherically symmetric initi…

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,…