Daniel Truhn

Daniel Truhn is a Lecturer at the Institute of Imaging & Computer Vision, RWTH Aachen University. His work bridges medical imaging and artificial intelligence, focusing on AI-driven solutions for MRI and CT image analysis, cartilage assessment, and data synthesis.

• Research Interests:
  • Medical Imaging
  • Artificial Intelligence
  • Radiomics
  • Machine Learning
  • Image Processing
  • Biomedical Engineering

His recent publications highlight applications of diffusion models, transformers, and GANs in medical imaging, with a focus on reproducibility, segmentation, and survival prediction. He collaborates extensively with radiologists and engineers across Germany and Europe.