Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data. - Florian Kowarsch; Lisa Weijler; Matthias Wödlinger; Michael Reiter; Margarita Maurer-Granofszky; Angela Schumich; Elisa O. Sajaroff; Stefanie Groeneveld-Krentz; Jorge G. Rossi; Leonid Karawajew; Richard Ratei; Michael N. Dworzak (iMIMIC@MICCAI, 2022)

Explainable Techniques for Analyzing Flow Cytometry Cell Transformers. - Florian Kowarsch; Lisa Weijler; Florian Kleber; Matthias Wödlinger; Michael Reiter; Margarita Maurer-Granofszky; Michael N. Dworzak (CoRR, 2023)

FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data. - Lisa Weijler; Florian Kowarsch; Michael Reiter; Pedro Hermosilla; Margarita Maurer-Granofszky; Michael N. Dworzak (WACV, 2024)