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    "headline": "Pairwise Image Judgments Guided the Motion Repair",
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    "dek": "A learned comparator ranked same-target reconstructions so derivative-free search could reduce motion artifacts without an absolute quality score.",
    "summary": "A learned comparator ranked same-target reconstructions so derivative-free search could reduce motion artifacts without an absolute quality score.",
    "body_text": "Deep preferential evolution learned relative image quality in simulation, then used unlabeled domain calibration for in-vivo photoacoustic tomography. The authors report correction of synthetic motion and mitigation of natural motion artifacts in human-palm imaging.",
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    "tags": [
      "medical imaging",
      "motion correction",
      "pairwise comparison"
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      "title": "arXiv preprint 2610.12273, original v1",
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