2 papers
cs.CV2026
FlowPET: Physics-Informed Symplectic Flow Matching for Low-Count PET Reconstruction
Zheng Zhang, Hao Tang, Yingying Hu +2
Low-count Positron Emission Tomography (PET) reconstruction is severely hindered by the dissipative nature of prevailing generative models, where the inherent phase-space contracti…
eess.IV2026
FourierPET: Deep Fourier-based Unrolled Network for Low-count PET Reconstruction
Zheng Zhang, Hao Tang, Yingying Hu +2
Low-count positron emission tomography (PET) reconstruction is a challenging inverse problem due to severe degradations arising from Poisson noise, photon scarcity, and attenuation…