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Per-Bundle, Pre-Reconstruction Inversion for Temporal CT: Flux-Compensation Design and Multi-Patient Generalization
Paper 1 established the per-bundle statistical limits of Temporal CT (TCT) and benchmarked a learned prior on a single patient at a uniform incident count $N_0$. This paper lifts both restrictions. SNN2, a Gauss-Newton estimator, converges to the per-bundle Poisson maximum-likelihood solution and is
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