Prof. Dr. rer. nat. habil. Floris Ernst

Photo of Floris  Ernst


Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, Raum 97

Email: floris.ernst(at)uni-luebeck.de
Phone: +49 451 31015208
Fax: 0451 31015204

Short Biography

Floris Ernst received the Dipl.-Math. degree (equivalent to M.Sc. in Mathematics) from Friedrich-Alexander-University Erlangen/Nuremberg (Germany) in 2006 and a postgraduate diploma in sciences from the University of Otago (Dunedin/New Zealand) in 2004. In 2006, he joined the Institute of Robotics and Cognitive Systems at the University of Lübeck, where he completed his PhD focussing on motion prediction and correlation algorithms for robotic radiosurgery. From 2011 to 2012, he worked as a software engineer at an engineering consultancy, specialising on applications in medicine and life sciences. In 2013, he returned to the Institute of Robotics and Cognitive Systems at the University of Lübeck as a senior research associate where he was appointed Professor for Medical Robotics in 2017.

Research Interests

  • Signal processing and analysis for medical purposes
  • Sensors for robotics
  • Motion tracking in clinical applications
  • Augmented reality for surgical tasks

Memberships and Roles

  • IEEE Senior Member
  • IEEE EMB and RAS Societies
  • VDE, DGBMT, DEGUM and CURAC
  • Steering Committee of the Graduate School "Computing in Medicine and Life Sciences" of the University of Lübeck
  • Associate Editor for Medical Robotics (IEEE Robotics and Automation Letters)
  • Associate Editor for Biomedical Robotics (Frontiers in Robotics and AI)

2025

Moritz A. Mau, Marius Krusen, and Floris Ernst,
Automatic Thyroid Scintigram Segmentation using U-Net, in Bildverarbeitung für die Medizin 2025 , Palm, Christoph and Breininger, Katharina and Deserno, Thomas and Handels, Heinz and Maier, Andreas and Maier-Hein, Klaus H. and Tolxdorff, Thomas M., Eds. Wiesbaden: Springer Fachmedien Wiesbaden, 2025, pp. 229-234.
DOI:10.1007/978-3-658-47422-5_50
ISBN:978-3-658-47422-5
Weblink: https://link.springer.com/chapter/10.1007/978-3-658-47422-5_50

2024

Holger Schwegmann, Bernd Kiefer, Tom Plagge, and Floris Ernst,
Glasgow Coma Score Estimation Module for Deployment on Mobile Robots in Rescue Missions, in 2024 IEEE International Symposium on Safety Security Rescue Robotics (SSRR) , Nov.2024. pp. 26-31.
DOI:10.1109/SSRR62954.2024.10770040
Bibtex: BibTeX
@INPROCEEDINGS{10770040,
  author={Schwegmann, Holger and Kiefer, Bernd and Plagge, Tom and Ernst, Floris},
  booktitle={2024 IEEE International Symposium on Safety Security Rescue Robotics (SSRR)}, 
  title={Glasgow Coma Score Estimation Module for Deployment on Mobile Robots in Rescue Missions}, 
  year={2024},
  volume={},
  number={},
  pages={26-31},
  abstract={This work presents a module to estimate a score according to the Glasgow Coma Scale (GCS) for deployment on mobile robots in order to determine the level of consciousness of victims in mass accidents to support rescue personnel. To determine a score according to the Glasgow Coma Scale multiple different methods are required. Pose estimation in order to find and determine a motor score, facial landmark detection to track eyelid movements in order to determine an eye score and natural language interaction to evaluate the verbal score. Our module is able to determine an eye score of 3–4, verbal score of 4–5 and motor score of 6 due to excluded pain stimuli. This work represents a foundation for an automated estimation of a score according to the GCS which will comprise enhancing pose estimation methods with more diverse training, identifying optimal facial landmark detection methods to find a balance between accuracy and performance. Further, refinement of natural language interaction is aimed for.},
  keywords={Training;Pain;Tracking;Pose estimation;Natural languages;Motors;Safety;Mobile robots;Security;Personnel},
  doi={10.1109/SSRR62954.2024.10770040},
  ISSN={2475-8426},
  month={Nov},}
Marius Krusen, and Floris Ernst,
Real-time MR-based 3D motion monitoring using raw k-space data, in Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning , Burgos, Ninon and Petitjean, Caroline and Vakalopoulou, Maria and Christodoulidis, Stergios and Coupe, Pierrick and Delingette, Hervé and Lartizien, Carole and Mateus, Diana, Eds. PMLR, Jul.2024. pp. 768-781.
Weblink: https://proceedings.mlr.press/v250/krusen24a.html
File: krusen24a.pdf
Ngoc Thinh Nguyen, Niklas Fin Kompe, and Floris Ernst,
Autonomous mapping of Rumex with a mobile robot, in Proceedings of 17. Wissenschaftstagung Okologischer Landbau , 2024. pp. 484-485.
Ngoc Thinh Nguyen, Pranav Tej Gangavarapu, Nicolas Mandel, Ralf Bruder, and Floris Ernst,
Motion planning for 4WS vehicle with autonomous selection of steering modes via an MIQP-MPC controller, in 2024 IEEE International Conference on Robotics and Automation (ICRA) , 2024. pp. 9765-9771.
DOI:10.1109/ICRA57147.2024.10610461
Marius Krusen, and Floris Ernst,
Very fast digital 2D rigid motion estimation directly on continuous k-space data using an RNN, Biomedical Signal Processing and Control , vol. 87, no. Part B, 2024.
DOI:10.1016/j.bspc.2023.105413
File: j.bspc.2023.105413

2023

Felix Haxthausen, Christoph Rüger, Malte Maria Sieren, Roman Kloeckner, and Floris Ernst,
Augmenting Image-Guided Procedures through In Situ Visualization of 3D Ultrasound via a Head-Mounted Display, Sensors , vol. 23, no. 4, pp. 2168, 2023.
DOI:10.3390/s23042168
File: Dateilink
Hauke Budig, Bernd Kiefer, Floris Ernst, Ralf Bruder, and Holger Schwegmann,
Automatic Glasgow Coma Score Determination for Mobile Robots, De Gruyter, 2023.
Susann Kriebisch, Ralf Bruder, and Floris Ernst,
Generation of 3D models of victims within their surroundings at rescue sites, De Gruyter, 2023.
Daniel Wulff, Jannis Hagenah, and Floris Ernst,
Landmark tracking in 4D ultrasound using generalized representation learning, Int J CARS , vol. 18, pp. 493-500, 2023.
Madita Göb, Simon Lotz, Linh Ha-Wissel, Sazgar Burhan, Sven Böttger, Floris Ernst, Jennifer Hundt, and Robert Huber,
Large area robotically assisted optical coherence tomography (LARA-OCT) for skin imaging with MHz-OCT surface tracking, San Francisco, USA: SPIE, 2023. pp. 123670C.
DOI:10.1117/12.2652616
File: 12.2652616
Ngoc Thinh Nguyen, Pranav Tej Gangavarapu, Niklas Fin Kompe, Georg Schildbach, and Floris Ernst,
Navigation with Polytopes: A Toolbox for Optimal Path Planning with Polytope Maps and B-spline Curves, Sensors , vol. 23, no. 7, pp. 3532, 2023.
DOI:10.3390/s23073532
File: s23073532
Daniel Wulff, Timon Dohnke, Ngoc Thinh Nguyen, and Floris Ernst,
Towards Realistic 3D Ultrasound Synthesis: Deformable Augmentation using Conditional Variational Autoencoders, IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS) , pp. 821-826, 2023.
DOI:10.1109/CBMS58004.2023.00326
File: CBMS58004.2023.00326

2022

Jannis Hagenah, Michael Scharfschwerdt, and Floris Ernst,
Aortic Valve Leaflet Shape Synthesis With Geometric Prior From Surrounding Tissue, Frontiers in Cardiovascular Medicine , vol. 9, pp. 772222, 2022.
DOI:10.3389/fcvm.2022.772222
File: fcvm.2022.772222
Jonas Osburg, Daniel Wulff, and Floris Ernst,
Generalized Automatic Probe Alignment based on 3D Ultrasound, 2022. pp. 58-61.
DOI:10.1515/cdbme-2022-0015
File: cdbme-2022-0015
Niclas Bockelmann, Daniel Schetelig, M. Bonsanto, Steffen Buschschlüter, and Floris Ernst,
Intelligent ultrasonic-aspirator for CNS/ tumor tissue differentiation -- a feasibility study using machine learning, Köln , 2022.
DOI:10.3205/22dgnc188
File: 22dgnc188
Niclas Bockelmann, Daniel Schetelig, Denise Kesslau, Steffen Buschschlüter, Floris Ernst, and M. Bonsanto,
Toward intraoperative tissue classification: exploiting signal feedback from an ultrasonic aspirator for brain tissue differentiation, International Journal of Computer Assisted Radiology and Surgery , 2022.
DOI:10.1007/s11548-022-02713-0
File: s11548-022-02713-0
Felix Haxthausen, Alicia Pose-Díez-de-la-Lastra, Rafael Moreta-Martinez, Javier Pascau, and Floris Ernst,
UltrARsound: In-situ visualisation of live ultrasound images using HoloLens 2, International Journal of Computer Assisted Radiology and Surgery , 2022.
DOI:10.1007/s11548-022-02695-z
File: s11548-022-02695-z
Jonas Osburg, Kuhlemann Ivo, Jannis Hagenah, and Floris Ernst,
Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks, Frontiers in Robotics and AI , vol. 9, 2022.
File: full

2021

Sonja Jäckle, Verónica García-Vázquez, Tim Eixmann, Florian Matysiak, Felix Haxthausen, Malte Sieren, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Floris Ernst, Markus Kleemann, and {others},
3D Guidance Including Shape Sensing of a Stentgraft System, Springer Vieweg, Wiesbaden, 2021, pp. 34-34.
Ana Estrada Lugo, Felix Haxthausen, Niclas Bockelmann, and Floris Ernst,
Automatic Segmentation of the Femoral Artery from 2D Ultrasound Images, Infinite Science Publishing GmbH, 2021.
ISBN:9783945954652
Daniel Wulff, Jannis Hagenah, and Floris Ernst,
Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound, 2021.
File: 2201.03319
Daniel Wulff, Mohamad Mehdi, Floris Ernst, and Jannis Hagenah,
Cross Data Set Generalization of Ultrasound Image Augmentation using Representation Learning: A Case Study, 2021. pp. 755-758.
DOI:10.1515/cdbme-2021-2193
File: cdbme-2021-2193
Jannis Hagenah, and Floris Ernst,
Discrete Pseudohealthy Synthesis: Aortic Root Shape Typification and Type Classification with Pathological Prior, 2021. pp. 252-267.
Sonja Jäckle, Annkristin Lange, Verónica García-Vázquez, Tim Eixmann, Florian Matysiak, Malte Maria Sieren, Marco Horn, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Floris Ernst, and {others},
Instrument localisation for endovascular aneurysm repair: Comparison of two methods based on tracking systems or using imaging, The International Journal of Medical Robotics and Computer Assisted Surgery , vol. 17, no. 6, pp. e2327, 2021.
DOI:10.1002/rcs.2327
File: rcs.2327