Daniel Siegismund

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 5

Top Topics

Multiple Representations

Top Venues

Publications

Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing. CoRR (2023)
Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing. DAGM (2023)
Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
Self-Supervised Representation Learning for High-Content Screening. MIDL (2022)
Mario Wieser, Daniel Siegismund, Stephan Heyse, Stephan Steigele
Vision Transformers Show Improved Robustness in High-Content Image Analysis. SDS (2022)
Daniel Siegismund, Stephan Heyse, Stephan Steigele
Uncertainty with deep learning: a practical view on out of distribution detection. SDS (2020)