3 papers
cs.CV2026
Self-Supervised Federated Learning under Data Heterogeneity for Label-Scarce Diatom Classification
Mingkun Tan, Xilu Wang, Michael Kloster +1
Label-scarce visual classification under decentralized and heterogeneous data is a fundamental challenge in pattern recognition, especially when sites exhibit partially overlapping…
cs.CV2020
SoRC -- Evaluation of Computational Molecular Co-Localization Analysis in Mass Spectrometry Images
Karsten Wüllems, Tim W. Nattkemper
The computational analysis of Mass Spectrometry Imaging (MSI) data aims at the identification of interesting mass co-localizations and the visualization of their lateral distributi…
stat.CO2020
COBI-GRINE: A Tool for Visualization and Advanced Evaluation of Communities in Mass Channel Similarity Graphs
Karsten Wüllems, Daniel Göbel, Annika Zurowietz +3
The detection of groups of molecules that co-localize with histopathological patterns or sub-structures is an important step to combine the rich high-dimensional content of mass sp…