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@ImprintLab

Imprint Lab

Imprint Lab looks at anatomy through computation.

We use ML to precisely measure and rebuild human organs / tissues in a digital space, turning them into code and runs.

What emerges is a body simulator that reacts like the real thing to drugs, surgery, and biochem, as a base layer for cyberorgans.


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  1. MedSegDiff MedSegDiff Public

    Using Diffusion Models to Segment/Reconstruct Organs from Medical Images

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  2. Medical-SAM-Adapter Medical-SAM-Adapter Public

    A lightweight adapter bridges SAM with medical imaging.

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  3. Medical-SAM2 Medical-SAM2 Public

    Medical SAM 2: Segment 3D Medical Images Via Segment Anything Model 2

    Python 814 124

  4. Medical-Graph-RAG Medical-Graph-RAG Public

    A Graph RAG System for Evidenced-based Medical Information Retrieval

    Python 571 96

  5. one-prompt one-prompt Public

    CVPR 2024 paper "One-Prompt to Segment All Medical Images"

    Python 135 8

  6. SPA SPA Public

    SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation (ICCV 2025)

    Python 10

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