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Christian Klenk
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2020 – today
- 2023
- [c6]Stefan Röhrl
, Hendrik Maier
Explainable Artificial Intelligence for Cytological Image Analysis. AIME 2023: 75-85 - [c5]Christian Klenk, David Elias Fresacher, Stefan Röhrl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp
Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation. BIOIMAGING 2023: 57-65 - [c4]Stefan Röhrl, Lukas Bernhard, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp
Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis. BIOIMAGING 2023: 69-77 - [c3]David Elias Fresacher, Stefan Röhrl, Christian Klenk, Johanna Erber, Hedwig Irl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp
Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging. MLHC 2023: 208-229 - [i2]Stefan Röhrl, Johannes Groll, Manuel Lengl, Simon Schumann, Christian Klenk, Dominik Heim, Martin Knopp, Oliver Hayden, Klaus Diepold:
Towards Interpretable Classification of Leukocytes based on Deep Learning. CoRR abs/2311.14485 (2023) - 2022
- [c2]Alice Hein
A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification. IJCNN 2022: 1-8 - [i1]Stefan Röhrl, Alice Hein, Lucie Huang, Dominik Heim, Christian Klenk, Manuel Lengl, Martin Knopp
Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis. CoRR abs/2208.08834 (2022)
2010 – 2019
- 2019
- [c1]Stefan Röhrl, Matthias Ugele, Christian Klenk, Dominik Heim
Autoencoder Features for Differentiation of Leukocytes Based on Digital Holographic Microscopy (DHM). EUROCAST (2) 2019: 281-288
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