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ORCIDStefan Röhrl
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2020 – today
- 2024
[c8]Luca Sacchetto
, Stefan Röhrl, Klaus Diepold:
Iterative Visual Interaction with Latent Diffusion Models. HCI (51) 2024: 411-421- 2023
- [c7]Stefan Röhrl, Hendrik Maier, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold:
Explainable Artificial Intelligence for Cytological Image Analysis. AIME 2023: 75-85 - [c6]Christian Klenk, David Elias Fresacher, Stefan Röhrl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Klaus Diepold, Stefan Holdenrieder, Oliver Hayden:
Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation. BIOIMAGING 2023: 57-65 - [c5]Stefan Röhrl, Lukas Bernhard, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold:
Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis. BIOIMAGING 2023: 69-77 - [c4]David Elias Fresacher, Stefan Röhrl, Christian Klenk, Johanna Erber, Hedwig Irl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Martin Schlegel, Sebastian Rasch, Oliver Hayden, Klaus Diepold:
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
- [c3]Patricia Schöntag, David Nakath, Stefan Röhrl, Kevin Köser:
Towards Cross Domain Transfer Learning for Underwater Correspondence Search. ICIAP (3) 2022: 461-472 - [c2]Alice Hein, Stefan Röhrl, Thea Grobel, Manuel Lengl, Nawal Hafez, Martin Knopp, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold:
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, Nawal Hafez, Oliver Hayden, Klaus Diepold:
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, Oliver Hayden, Klaus Diepold:
Autoencoder Features for Differentiation of Leukocytes Based on Digital Holographic Microscopy (DHM). EUROCAST (2) 2019: 281-288
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