Stefan Röhrl, M.Sc.

Technische Universität München
Lehrstuhl für Datenverarbeitung
Arcisstraße 21
80333 München

Tel.: +49 (0)89 289 23605
Fax.: +49 (0)89 289 23600
E-Mail: stefan.roehrl@tum.de
Büro: Z947

Kontakt

Wenn Sie Fragen zu Workshops oder Lehrveranstaltungen haben, schreiben Sie an folgende Adressen.

Forschungsschwerpunkte

CellFace

Analyse und Diagnositk von Blutzellen mit Hilfe künstlicher Intelligenz, insbesondere Deep Learning, und digitaler holographischer Mikroskopie.

► CellFace

► Software Campus

 

Komputer & Creativität

Entwicklung maschineller Lernmethoden für künstliche Kreativität.

Angebotene Arbeiten

Aktuelles, offen, Stefan Röhrl |

New Daedalus 2.0 Hands-On Workshops | Threat Modeling

Prepare to embark on an exciting journey with Daedalus 2.0 Hands-On Workshops, where the realms of Cyber Security  and Threat Modeling converge! …

Aktuelles, offen, Stefan Röhrl |

New Daedalus 2.0 Hands-On Workshops | Cloud and Cyber Security

Prepare to embark on an exciting journey with Daedalus 2.0 Hands-On Workshops, where the realms of Cloud Application and Cyber Security converge! Join…

Aktuelles, offen, Jobs, Stefan Röhrl |

Working Student Position - Deployment Administration

Kubernetes Cluster and Deployment Administration for Applied Machine Intelligence Lecture

Aktuelles, offen, Manuel Lengl, Stefan Röhrl |

Workshop Introduction to Professional Software Development

How clean is your code? Find out in your new daedalus workshop! This workshop covers different aspects of professional software development.

Publications 2023

  • Klenk, Christian; Erber, Johanna; Fresacher, David; Röhrl Stefan; Lengl, Manuel; Heim, Dominik; Irl, Hedwig; Schlegel, Martin; Haller, Bernhard; Lahmer, Tobias; Diepold, Klaus; Rasch, Sebastian; Hayden, Oliver: Platelet aggregates detected using quantitative phase imaging associate with COVID-19 severity. In: Nature Communications Medicine. Springer Nature, 2023 mehr… BibTeX Volltext ( DOI )
  • Fresacher, David; Röhrl, Stefan; Klenk, Christian; Erber, Johanna; Irl, Hedwig; Heim, Dominik; Lengl, Manuel; Schumann, Simon; Knopp, Martin; Schlegel, Martin; Rasch, Sebastian; Hayden, Oliver; Diepold, Klaus: Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging. Machine Learning for Healthcare Conference, 2023 mehr… BibTeX
  • Röhrl, Stefan; Groll, Johannes; Lengl, Manuel; Schumann, Simon; Klenk, Christian; Heim, Dominik; Knopp, Martin; Hayden, Oliver; Diepold, Klaus: Towards Interpretable Classification of Leukocytes based on Deep Learning. 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 mehr… BibTeX
  • Röhrl, Stefan; Maier, Hendrik; Lengl, Manuel; Klenk, Christian; Heim, Dominik; Knopp, Martin; Schumann, Simon; Hayden, Oliver; Diepold, Klaus: Explainable Artificial Intelligence for Cytological Image Analysis. In: Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker (Hrsg.): Artificial Intelligence in Medicine. Springer Nature Switzerland, 2023 mehr… BibTeX Volltext ( DOI )
  • Röhrl, Stefan; Janotte, Christian; Klenk, Christian; Heim, Dominik; Lengl, Manuel; Hein, Alice; Knopp, Martin; Hayden, Oliver; Diepold, Klaus: Rethinking Usability Heuristics for Modern Biomedical Interfaces. The Sixteenth International Conference on Advances in Computer-Human Interactions (ACHI), 2023 mehr… BibTeX
  • Klenk, Christian; Fresacher, David; Röhrl, Stefan; Heim, Dominik; Lengl, Manuel; Schumann, Simon; Knopp, Martin; Diepold, Klaus; Holdenrieder, Stefan; Hayden, Oliver: Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation. Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, SCITEPRESS - Science and Technology Publications, 2023 mehr… BibTeX Volltext ( DOI )
  • Röhrl, Stefan; Bernhard, Lukas; Lengl, Manuel; Klenk, Christian; Heim, Dominik; Knopp, Martin; Schumann, Simon; Hayden, Oliver; Diepold, Klaus: Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis. Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, SCITEPRESS - Science and Technology Publications, 2023 mehr… BibTeX Volltext ( DOI )

Publications 2022

  • Peschke, Katja; Lengl, Manuel; Röhrl, Stefan; Maurer, Carlo; Klenk, Christian; Fresacher, David; Harb, Farid; Hafez, Nawal; Orben, Felix; Öllinger, Rupert; Madej, Joanna; Saur, Dieter; Rad, Roland; Schneider, Gunter; Hayden, Oliver; Diepold, Klaus; Reichert, Maximillian: Label-free Digital Holographic Microscopy to Characterize Inter- and Intratumoral Heterogeneity in Pancreatic Cancer. Gastroenterology 162 (7, Supplement ), 2022, S-732 mehr… BibTeX Volltext ( DOI )
  • C. Klenk, S. Röhrl, M. Cortina1, D. E. Fresacher, K. Diepold, O. Hayden: Blutzellaggregate als neue Biomarkerklasse für POC Hämatologie Automaten. 5. MÜNCHNER POCT SYMPOSIUM, Neue Perspektiven für Querschnittstechnologien und erweiterte Anwendungsgebiete , 2022, 68 mehr… BibTeX
  • Hein, Alice; Rohrl, Stefan; Grobel, Thea; Lengl, Manuel; Hafez, Nawal; Knopp, Martin; Klenk, Christian; Heim, Dominik; Hayden, Oliver; Diepold, Klaus: A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification. 2022 International Joint Conference on Neural Networks (IJCNN), IEEE, 2022 mehr… BibTeX Volltext ( DOI )
  • Röhrl, S., Hein, A., Huang, L., Heim, D., Klenk, C., Lengl, M., Knopp, M., Hafez, N., Hayden, O., Diepold, K.: Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis. 2nd Workshop on Interpretable Machine Learning in Healthcare (IMLH 2022), 2022 mehr… BibTeX Volltext ( DOI )
  • Schöntag, Patricia; Nakath, David; Röhrl, Stefan; Köser, Kevin: Towards Cross Domain Transfer Learning for Underwater Correspondence Search. In: Image Analysis and Processing – ICIAP 2022. Springer International Publishing, 2022 mehr… BibTeX Volltext ( DOI )

Publications 2020

  • Hafez, Nawal; Dietrich, Vincent; Roehrl, Stefan: Analysis of Different Methods to Close the Reality Gap for Instance Segmentation in a Flexible Assembly Cell. In: Advances in Service and Industrial Robotics. Springer International Publishing, 2020 mehr… BibTeX Volltext ( DOI )

Publications 2019

  • Röhrl, S., Ugele, M., Klenk, C., Heim, D., Hayden, O., Diepold, K.: Autoencoder Features for Differentiation of Leukocytes based on Digital Holographic Microscopy (DHM). Computer Aided Systems Theory-EUROCAST 2019, 2019 mehr… BibTeX
  • Ugele, M., Klenk, C., Heim, D., Röhrl, S., Mehta, F., Vejzagic, N., Peschke, K., Diepold, K., da Costa, C. P., Reichert, M.: Label-free biomarker information by high-throughput holographic microscopy to support detection of cancer and neglected tropical diseases. Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV, 2019, 110600V mehr… BibTeX

Patents

  • Detection of molecular biological objects, cellular biological objects and cell aggregates using quantitative phase-contrast microscopy. 2023, (anderer Eintrag) mehr… BibTeXWWW
  • Detection of Cell Aggregates using Quantitative Phase-Contrast Microscopy. 2023, (anderer Eintrag) mehr… BibTeXWWW