Matthias Griebel

This paper develops a deep learning model that accurately segments tumors using only eight whole-slide images, showing that small, well-annotated datasets can achieve high performance in medical imaging.

This study evaluates deep learning methods for bioimage analysis, showing that integrating ground truth estimation and model training improves objectivity, reliability, and validity.