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
Selected Publications
- It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties
- 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
- Uncertainty quantification
- Retinal and hyperspectral image analysis