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Michael N. Dworzak

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

5

Venues

4

Active years

2018–2024

Best venue rank

B

Where they publish

Papers

5 indexed papers, newest first.

YearVenueTitleAuthors
2024ICPROn the Importance of Local and Global Feature Learning for Automated Measurable Residual Disease Detection in Flow Cytometry Data.Lisa Weijler, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
2024WACVFATE: 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
2022MICCAITowards Self-explainable Transformers for Cell Classification in Flow Cytometry Data.Florian Kowarsch, Lisa Weijler, Matthias Wdlinger, Michael Reiter, Margarita Maurer-Granofszky, Angela Schumich, Elisa O. Sajaroff, Stefanie Groeneveld-Krentz, Jorge G. Rossi, Leonid Karawajew, Richard Ratei, Michael N. Dworzak
2018ICPRWGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia.Roxane Licandro, Thomas Schlegl, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Georg Langs, Martin Kampel
2018ICPRAMApplication of Machine Learning for Automatic MRD Assessment in Paediatric Acute Myeloid Leukaemia.Roxane Licandro, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Martin Kampel