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Stephan Steigele

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2020 – today

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2023
[c4]
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Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele:
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing. DAGM 2023: 335-347
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  - journals/corr/abs-2308-16637
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Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele:
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing. CoRR abs/2308.16637 (2023)
2022
[c3]
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Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele:
Self-Supervised Representation Learning for High-Content Screening. MIDL 2022: 1108-1124
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Mario Wieser, Daniel Siegismund, Stephan Heyse, Stephan Steigele:
Vision Transformers Show Improved Robustness in High-Content Image Analysis. SDS 2022: 71-72
2020
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Daniel Siegismund, Stephan Heyse, Stephan Steigele:
Uncertainty with deep learning: a practical view on out of distribution detection. SDS 2020: 65-66

2000 – 2009

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2006
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Katharina Anna Lehmann, Michael Kaufmann, Stephan Steigele, Kay Nieselt:
On the maximal cliques in c-max-tolerance graphs and their application in clustering molecular sequences. Algorithms Mol. Biol. 1 (2006)

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