The work introduces a residual noise learning framework for cross-dose PET denoising that avoids averaged mappings by estimating noise directly from low-dose inputs and shows gains over one-size-for-all and dose-specific baselines on multi-center data.
Nsclc biomarkers to predict response to immunotherapy with checkpoint inhibitors (ici): From the cells to in vivo images
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Rethinking Cross-Dose PET Denoising: Mitigating Averaging Effects via Residual Noise Learning
The work introduces a residual noise learning framework for cross-dose PET denoising that avoids averaged mappings by estimating noise directly from low-dose inputs and shows gains over one-size-for-all and dose-specific baselines on multi-center data.