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2020 – today
- 2024
[c3]Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak:
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data. WACV 2024: 7941-7949- [i4]Elpiniki Maria Lygizou, Michael Reiter, Margarita Maurer-Granofszky, Michael N. Dworzak, Radu Grosu:
Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers. CoRR abs/2406.18309 (2024) - 2023
- [i3]Florian Kowarsch, Lisa Weijler, Florian Kleber, Matthias Wödlinger, Michael Reiter
, Margarita Maurer-Granofszky, Michael N. Dworzak:
Explainable Techniques for Analyzing Flow Cytometry Cell Transformers. CoRR abs/2307.14581 (2023) - [i2]Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak:
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data. CoRR abs/2311.03314 (2023) - 2022
- [j1]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:
Automated identification of cell populations in flow cytometry data with transformers. Comput. Biol. Medicine 144: 105314 (2022) - [c2]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:
Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data. iMIMIC@MICCAI 2022: 22-32 - 2021
- [i1]Matthias Wödlinger, Michael Reiter, Lisa Weijler, Margarita Maurer-Granofszky, Angela Schumich, Michael N. Dworzak:
Automated Identification of Cell Populations in Flow Cytometry Data with Transformers. CoRR abs/2108.10072 (2021) - 2020
- [c1]Lisa Weijler, Markus Diem, Michael Reiter, Margarita Maurer-Granofszky:
Detecting Rare Cell Populations in Flow Cytometry Data Using UMAP. ICPR 2020: 4903-4909
Coauthor Index
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