Fine-tuning CytoBERT for sample-level classification demonstrates that transfer learning across heterogeneous cytometry datasets is feasible, providing a starting point for scalable, generalizable cytometry analysis.
S. A. Qadri, Bjarne C. Hiller, F. Blanke et al.· 0 citations
The project contributes a practical toolchain and platform capabilities for non-experts and experts, including structured innovation support, uncertaintyaware sensor-data fusion, hybrid expert-system modeling, and workflow-guided data acquisition and anonymization.
Serge Autexier, N. Ay, Stefan Fischer et al.· Annual International Compute...· 0 citations
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