Michael N. Dworzak

According to our database, Michael N. Dworzak authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

On 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

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers.

Elpiniki Maria Lygizou, Michael Reiter, Margarita Maurer-Granofszky, Michael N. Dworzak, Radu Grosu

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

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

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

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

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

2021

Automated Identification of Cell Populations in Flow Cytometry Data with Transformers.

Matthias Wödlinger, Michael Reiter, Lisa Weijler, Margarita Maurer-Granofszky, Angela Schumich, Michael N. Dworzak

CoRR, 2021

2018

Application 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

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

WGAN 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

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

A Clinical Tool for Automated Flow Cytometry Based on Machine Learning Methods.

Claude Takenga, Michael N. Dworzak, Markus Diem, Rolf-Dietrich Berndt, Erling Si, Michael Brandstötter, Leonid Karawajew, Melanie Gau, Martin Kampel

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

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