1 citations · 1 across the 3 of their papers we have counts for
3 papers
Hierarchical Generalized Category Discovery for Brain Tumor Classification in Digital Pathology
Matthias Perkonigg, Patrick Rockenschaub, Georg Göbel +1
Accurate brain tumor classification is critical for intra-operative decision making in neuro-oncological surgery. However, existing approaches are restricted to a fixed set of pred…
Robust prediction under missingness shifts
Patrick Rockenschaub, Zhicong Xian, Alireza Zamanian +4
Prediction becomes more challenging with missing covariates. What method is chosen to handle missingness can greatly affect how models perform. In many real-world problems, the bes…
DomainLab: A modular Python package for domain generalization in deep learning
Xudong Sun, Carla Feistner, Alexej Gossmann +10
Poor generalization performance caused by distribution shifts in unseen domains often hinders the trustworthy deployment of deep neural networks. Many domain generalization techniq…