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  • Lab for AI in Medicine, University Hospital Aachen

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Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO

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DEschweiler/README.md

AI research engineer at the Lab for AI in Medicine, University Hospital Aachen. About ten years of deep learning in computer vision. My current focus is musculoskeletal radiography, LLM agents and embodied AI.

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Selected projects

Project Focus
Radiograph Morphometry Agent
LLM agent that drafts traceable MSK X-ray reports with measurements and guideline-based reference ranges		 LLM agents radiography
Radiograph Landmark Matching
Training-free landmark matching for large-scale morphometry		 foundation models radiography
Medical Embodiment: Scan, Label & Act
Embodied AI that combines perception, understanding and action		 embodied AI robotics
Computer-Use Agents
Tool-augmented agents for complex task execution		 LLM agents tool use
Diffusion Models for Image Synthesis
DDPMs that generate realistic 3D microscopy data with few annotations		 generative models microscopy

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  1. stegmaierj/DiffusionModelsForImageSynthesis stegmaierj/DiffusionModelsForImageSynthesis Public

    Repository for the publication "Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets"

    Python 37 3

  2. TruhnLab/RadiographLandmarkMatching TruhnLab/RadiographLandmarkMatching Public

    AI framework enabling precise, automated morphometric measurements by transferring landmarks from a single annotated reference radiograph to previously unseen images using dense matching

    Python 4

  3. TruhnLab/computer-use-agents TruhnLab/computer-use-agents Public

    1

  4. TruhnLab/MedicalEmbodiment_ScanLabelAct TruhnLab/MedicalEmbodiment_ScanLabelAct Public

    Python

  5. TruhnLab/RadiographMorphometryAgent TruhnLab/RadiographMorphometryAgent Public

    Python