2 papers
cs.CV2025
Learning Disease State from Noisy Ordinal Disease Progression Labels
Gustav Schmidt, Holger Heidrich, Philipp Berens +1
Learning from noisy ordinal labels is a key challenge in medical imaging. In this work, we ask whether ordinal disease progression labels (better, worse, or stable) can be used to…
cs.DS2023
A 4-approximation algorithm for min max correlation clustering
Holger Heidrich, Jannik Irmai, Bjoern Andres
We introduce a lower bounding technique for the min max correlation clustering problem and, based on this technique, a combinatorial 4-approximation algorithm for complete graphs.…