Manuel Lengl

According to our database, Manuel Lengl authored at least 7 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Towards Interpretable Classification of Leukocytes based on Deep Learning.

Stefan Röhrl, Johannes Groll, Manuel Lengl, Simon Schumann, Christian Klenk, Dominik Heim, Martin Knopp, Oliver Hayden, Klaus Diepold

CoRR, 2023

Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging.

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

Proceedings of the Machine Learning for Healthcare Conference, 2023

Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis.

Stefan Röhrl, Lukas Bernhard, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation.

Christian Klenk, David Elias Fresacher, Stefan Röhrl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Klaus Diepold, Stefan Holdenrieder, Oliver Hayden

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Explainable Artificial Intelligence for Cytological Image Analysis.

Stefan Röhrl, Hendrik Maier, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis.

Stefan Röhrl, Alice Hein, Lucie Huang, Dominik Heim, Christian Klenk, Manuel Lengl, Martin Knopp, Nawal Hafez, Oliver Hayden, Klaus Diepold

CoRR, 2022

A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification.

Alice Hein, Stefan Röhrl, Thea Grobel, Manuel Lengl, Nawal Hafez, Martin Knopp, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold

Proceedings of the International Joint Conference on Neural Networks, 2022