Author

Huafeng Liu

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Preprint Aug 2026

Manifold-Constrained PET Reconstruction with Learned Flow-Matching Priors

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, we introduce an unsupervised, optimization-based reconstruction framework that employs a flow-matching generative model as a learned manifol...

Heng-Jia Ran, Jie Luo, Yu-Tao Zhu et al. · 0 citations

Open access Sep 2026

Structure-guided prior-driven implicit neural representations for time-of-flight PET image reconstruction.

OBJECTIVE Positron emission tomography (PET) reconstruction is an ill-posed inverse problem, particularly under low-count conditions where noise severely degrades image quality and quantitative accuracy. Although supervised learning approaches have demonstrated strong denoising capability, their performance often depen...

Yu-Lin Zhang, Yuxuan Long, Hong Wang et al. · Physics in Medicine and Biol... · 0 citations

#natural language process... Preprint Sep 2026

Rewarding Reasoning, Not Answers: Fixing and Bounding Test-Time Reinforcement Learning on Medical QA

Test-time reinforcement learning adapts a model on its own unlabeled test set using majority-vote pseudo-labels and has shown strong results in mathematics. We show that this recipe collapses on medical multiple-choice QA: accuracy stagnates while output diversity rapidly declines. Through a controlled experiment that...

Kai-Long Fan, An-Qi Pu, Yi-Chen Wu et al. · 0 citations