Daniel Siegismund

According to our database¹, Daniel Siegismund authored at least 4 papers between 2020 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2023

Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Vision Transformers Show Improved Robustness in High-Content Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the 9th Swiss Conference on Data Science, 2022

Self-Supervised Representation Learning for High-Content Screening.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2020

Uncertainty with deep learning: a practical view on out of distribution detection.

[BibT_eX]

[DOI]

Daniel Siegismund

Stephan Heyse

Stephan Steigele

Proceedings of the 7th Swiss Conference on Data Science, 2020

Daniel Siegismund

Timeline

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