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.
The goal is a body simulator that reacts like the real thing to drugs, surgery, and biochem, as a base layer for cyberorgans.
Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]
A lightweight adapter bridges SAM with medical imaging [MedIA]
Medical SAM 2: Segment 3D Medical Images Via Segment Anything Model 2
A Graph RAG System for Evidenced-based Medical Information Retrieval [ACL 2025]
A Graph RAG System for Evidenced-based Medical Information Retrieval [ACL 2025]
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation (ICCV 2025)
Code for paper [MedAgent-Pro: Towards Evidence-Based Multi-Modal Medical Diagnosis via Reasoning Agentic Workflow]
Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]
Adapting SAM with uncertainty-aware capability for medical image segmentation
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