AI RESEARCH
Establishing Stochastic Object Models from Noisy Data via Ambient Measurement-Integrated Diffusion
arXiv CS.CV
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ArXi:2512.14187v3 Announce Type: replace-cross Task-based measures of image quality (IQ) are critical for evaluating medical imaging systems, which must account for randomness including anatomical variability. Stochastic object models (SOMs) provide a statistical description of such variability, but conventional mathematical SOMs fail to capture realistic anatomy, while data-driven approaches typically require clean data rarely available in clinical tasks.