About me

Hi there 👋 I am an AI research engineer with a decade of deep-learning and machine-learning experience across medical image analysis, generative models, and LLM-based agents.

Selected work

🦴 Radiograph Landmark Matching

→ Training-free landmark-based morphometry for musculoskeletal radiography.
→ Parts of this work received the DGMSR Wissenschaftspreis 2026.
→ https://github.com/TruhnLab/RadiographLandmarkMatching

🤖 Computer-Use Agents

→ Exploration of tool-augmented and agent-based AI systems for complex task execution.
→ https://github.com/TruhnLab/computer-use-agents

🎨 Diffusion Models for Image Synthesis

→ Denoising diffusion probabilistic models for generating realistic 3D microscopy image data.
→ Supports annotation-limited biomedical imaging tasks.
→ https://github.com/stegmaierj/DiffusionModelsForImageSynthesis

Google Scholar: https://scholar.google.de/citations?user=JV57X-wAAAAJ
LinkedIn: https://de.linkedin.com/in/dennis-eschweiler-138106231