Article

Image-Conditioned Diffusion for Privacy-Preserving Synthetic Medical Images

2026-05-07

Abstract excerpt

Medical imaging models depend on large, shareable datasets, yet privacy constraints limit data dissemination. Current text-conditioned diffusion models fail to preserve subtle, distributed clinical signals, such as continuous physiological biomarkers, rendering synthetic data insufficient for robust downstream physiological modeling. Here, we evaluate image-to-image (I2I) diffusion as a tunable, privacy-preserving...

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Literature Corpus work: 1eeb44c0-34cd-5fb7-af20-2d77da003574
DOI: 10.64898/2026.05.04.722524

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