Laurin Lux

Laurin Lux

Laurin is a PhD student whose work spans topology-aware medical image segmentation, graph-based biomedical image analysis, retinal imaging, and vision-language models for interpretable medical AI.

Google Scholar Google Scholar Publications

Selected Publications

  • Beyond scalar losses: calibrating segmentation models via gradient vector field surgery
  • Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning
  • Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Research Interests

  • Topology-aware medical image segmentation
  • Graph learning and interpretable medical AI
  • Vision-language models for biomedical imaging
  • Retinal and hyperspectral image analysis