2 papers
cs.CL2026
sebis at CRF Filling 2026: A Two-Stage Local LLM Pipeline for Medical CRF Filling
Katharina Sommer, Tristan Till, Florian Matthes
The extraction of structured clinical information from unstructured EHR notes is a persistent bottleneck in healthcare informatics. While large language models (LLMs) offer high pe…
cs.CV2025
SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative Learning
Luyi Qiu, Tristan Till, Xiaobao Guo +1
Scribble annotations significantly reduce the cost and labor required for dense labeling in large medical datasets with complex anatomical structures. However, current scribble-sup…