Michael N. Dworzak

14 papers A 1B 1C 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers.
EMBC
Elpiniki Maria Lygizou, Michael Reiter, Margarita Maurer-Granofszky, Michael N. Dworzak, Radu Grosu
2024 J jnl
Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers.
CoRR
Elpiniki Maria Lygizou, Michael Reiter, Margarita Maurer-Granofszky, Michael N. Dworzak, Radu Grosu
2024 A conf
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data.
WACV
Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
2024 — conf
On the Importance of Local and Global Feature Learning for Automated Measurable Residual Disease Detection in Flow Cytometry Data.
ICPR (12)
Lisa Weijler, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
2024 J jnl
On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data.
CoRR
Lisa Weijler, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
2023 J jnl
Explainable Techniques for Analyzing Flow Cytometry Cell Transformers.
CoRR
Florian Kowarsch, Lisa Weijler, Florian Kleber, Matthias Wödlinger, Michael Reiter, Margarita Maurer-Granofszky, Michael N. Dworzak
2023 J jnl
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data.
CoRR
Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak
2022 J jnl
Automated identification of cell populations in flow cytometry data with transformers.
Comput. Biol. Medicine
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
2022 — conf
Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data.
iMIMIC@MICCAI
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
2021 J jnl
Automated Identification of Cell Populations in Flow Cytometry Data with Transformers.
CoRR
Matthias Wödlinger, Michael Reiter, Lisa Weijler, Margarita Maurer-Granofszky, Angela Schumich, Michael N. Dworzak
2018 C conf
Application of Machine Learning for Automatic MRD Assessment in Paediatric Acute Myeloid Leukaemia.
ICPRAM
Roxane Licandro, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Martin Kampel
2018 B conf
WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia.
ICPR
Roxane Licandro, Thomas Schlegl, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Georg Langs, Martin Kampel
2017 — conf
A Clinical Tool for Automated Flow Cytometry Based on Machine Learning Methods.
IWBBIO (2)
Claude Takenga, Michael N. Dworzak, Markus Diem, Rolf-Dietrich Berndt, Erling Si, Michael Brandstötter, Leonid Karawajew, Melanie Gau, Martin Kampel
2016 J jnl
Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures.
Pattern Recognit.
Michael Reiter, Paolo Rota, Florian Kleber, Markus Diem, Stefanie Groeneveld-Krentz, Michael N. Dworzak