Author

Frederick Klauschen

2 papers indexed here

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Preprint Oct 2026

Pathology foundation models for training-free case retrieval in salivary gland tumors

This approach makes departmental archives searchable with pathology foundation models, providing a low-barrier route to case-based differential diagnosis and extending the individual frame of reference to the collective experience of the department.

Maximilian J. Roesel, N. Kiermeyer, Philipp Keyl et al. · 0 citations

#artificial intelligence Preprint Aug 2026

LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology

LUCAID is an agentic AI system for precision lung cancer pathology that combines diagnostic reasoning with nine modules that cover the full routine workflow, from quality control, tumor detection and segmentation, histological subtyping, tumor microenvironment profiling, tumor cellularity quantification, and predictive...

M. Eich, K. Standvoss, Timo Milbich et al. · 0 citations