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eess.IV2026
Bayesian PET Reconstruction with Learned Flow Matching Priors via Langevin Sampling
Hengjia Ran, Huafeng Liu, Bo Zhao
Image reconstruction for positron emission tomography (PET) is a challenging inverse problem due to its inherent ill-posedness and Poisson counting noise, particularly in low-dose…
eess.IV2026
Manifold-Constrained PET Reconstruction with Learned Flow-Matching Priors
Hengjia Ran, Jie Luo, Yutao Zhu +3
Image reconstruction for positron emission tomography (PET) is an ill-posed Poisson inverse problem that often suffers from severe noise amplification and artifacts. In this work,…