Prof. Dr. rer. nat. habil. 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
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
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: | ![]() @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},} |
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, 2024. pp. 768-781.
Weblink: | https://proceedings.mlr.press/v250/krusen24a.html |
File: |
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 |
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 |
Autonomous mapping of Rumex with a mobile robot, in Proceedings of 17. Wissenschaftstagung Okologischer Landbau , 2024. pp. 484-485.
2023
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 |
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 |
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 |
Landmark tracking in 4D ultrasound using generalized representation learning, Int J CARS , vol. 18, pp. 493-500, 2023.
Generation of 3D models of victims within their surroundings at rescue sites, De Gruyter, 2023.
Automatic Glasgow Coma Score Determination for Mobile Robots, De Gruyter, 2023.
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 |
2022
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 |
Generalized Automatic Probe Alignment based on 3D Ultrasound, 2022. pp. 58-61.
DOI: | 10.1515/cdbme-2022-0015 |
File: | cdbme-2022-0015 |
Intelligent ultrasonic-aspirator for CNS/ tumor tissue differentiation -- a feasibility study using machine learning, Köln , 2022.
DOI: | 10.3205/22dgnc188 |
File: | 22dgnc188 |
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 |
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 |
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
Medical Device Development for Children and Young People: Reviewing the Challenges and Opportunities, Pharmaceutics , vol. 13, no. 12, pp. 2178, 2021.
DOI: | 10.3390/pharmaceutics13122178 |
File: | pharmaceutics13122178 |
Tumor-dose-rate variations during robotic radiosurgery of oligo and multiple brain metastases, Springer , vol. 197, pp. 581-591, 2021.
DOI: | 10.1007/s00066-020-01652-6 |
File: | s00066-020-01652-6 |
Towards machine learning-based tissue differentiation using an ultrasonic aspirator: computer assisted radiology and surgery proceedings of the 35th international Congress and exhibition Munich, Germany, June 21--25, 2021, 2021. pp. 107-108.
DOI: | 10.1007/s11548-021-02375-4 |
File: | s11548-021-02375-4 |
Towards automated ultrasound imaging -- robotic image acquisition in liver and prostate for long-term motion monitoring, Physics in Medicine Biology , vol. 66, no. 9, pp. 094002, 2021.
DOI: | 10.1088/1361-6560/abf277 |
File: | abf277 |
Superimposing holograms on real world objects using HoloLens 2 and its depth camera, Current Directions in Biomedical Engineering , vol. 7, no. 1, pp. 111-115, 2021. De Gruyter.
DOI: | 10.1515/cdbme-2021-1024 |
File: | cdbme-2021-1024 |
Modern Applications of 3D/4D Ultrasound Imaging in Radiotherapy, Harris, Emma and Fontanarosa, Davide, Eds. IOP Publishing, 2021, pp. 9.1-9.27.
DOI: | 10.1088/978-0-7503-2552-3ch9 |
File: | 978-0-7503-2552-3ch9 |

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