On automated Flow Cytometric analysis for MRD estimation of Acute Lymphoblastic Leukaemia: A comparison among different approaches. - Paolo Rota; Stefanie Groeneveld-Krentz; Michael Reiter (BIBM, 2015)

The Role of Machine Learning in Medical Data Analysis. A Case Study: Flow Cytometry. - Paolo Rota; Florian Kleber; Michael Reiter; Stefanie Groeneveld-Krentz; Martin Kampel (VISIGRAPP (3: VISAPP), 2016)

Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures. - Michael Reiter; Paolo Rota; Florian Kleber; Markus Diem; Stefanie Groeneveld-Krentz; Michael N. Dworzak (Pattern Recognit., 2016)

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)

Automated identification of cell populations in flow cytometry data with transformers. - Matthias Wödlinger; Michael Reiter; Lisa Weijler; Margarita Maurer-Granofszky; Angela Schumich; Elisa O. Sajaroff; Stefanie Groeneveld-Krentz; Jorge G. Rossi; Leonid Karawajew; Richard Ratei; Michael N. Dworzak (Comput. Biol. Medicine, 2022)