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

Kurzbiographie

Floris Ernst hat im Jahr 2006 sein Studium als Diplom-Mathematiker an der Friedrich-Alexander-Universität Erlangen-Nürnberg abgeschlossen und im Jahr 2004 ein Postgraduate Diploma in Sciences (Mathematics) von der University of Otago (Dunedin, Neuseeland) erhalten. Von 2006 bis 2011 fertigte er seine Dissertation auf dem Gebiet der Bewegungsvorhersage und -korrelation für die robotergestützte Strahlenchirurgie am Institut für Robotik und Kognitive Systeme der Universität zu Lübeck an. Von 2011 bis 2012 war er als Software-Ingenieur in einem technischen Beratungsunternehmen mit Fokus auf Medizintechnik und Lebenswissenschaften tätig. Seit 2013 ist er als wissenschaftlicher Mitarbeiter wieder am Institut für Robotik und Kognitive Systeme beschäftigt und wurde dort 2017 auf eine Professur für medizinische Robotik berufen.

Forschungsinteressen

  • Signalverarbeitung und -analyse für biomedizinische Anwendungen
  • Sensoren für die Robotik
  • Bewegungsverfolgung und -erkennung in der Medizintechnik
  • Augmented Reality in der Chirurgie

Mitgliedschaften und Positionen

  • IEEE Senior Member
  • IEEE EMB und RAS Societies
  • VDE, DGBMT, DEGUM, CURAC
  • Lenkungsausschuss der Graduiertenschule "Computing in Medicine and Life Sciences" an der Universität zu Lübeck
  • Associate Editor für Medical Robotics bei IEEE Robotics and Automation Letters
  • Associate Editor für Biomedical Robotics bei 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, 2024. pp. 768-781.
Weblink: https://proceedings.mlr.press/v250/krusen24a.html
Datei: krusen24a.pdf
Susann Kriebisch, Ralf Bruder, and Floris Ernst,
Autonomous robotic system for ultrasound imaging of patients in any pose, 2024.
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
Datei: j.bspc.2023.105413
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.

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
Datei: 12.2652616
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
Datei: CBMS58004.2023.00326
Ngoc Thinh Nguyen, Pranav Tej Gangavarapu, Arne Sahrhage, Georg Schildbach, and Floris Ernst,
Navigation with polytopes and B-spline path planner, in 2023 IEEE International Conference on Robotics and Automation (ICRA) , 2023. pp. 5695-5701.
DOI:10.1109/ICRA48891.2023.10160561
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
Datei: s23073532
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.
Susann Kriebisch, Ralf Bruder, and Floris Ernst,
Generation of 3D models of victims within their surroundings at rescue sites, De Gruyter, 2023.
Ngoc Thinh Nguyen, Pranav Tej Gangavarapu, and Floris Ernst,
B-Spline-to-Bézier Conversion and Applications on Path Planning, in 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT) , 2023. pp. 2643-2648.
DOI:10.1109/CoDIT58514.2023.10284439
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
Datei: Dateilink
Hauke Budig, Bernd Kiefer, Floris Ernst, Ralf Bruder, and Holger Schwegmann,
Automatic Glasgow Coma Score Determination for Mobile Robots, De Gruyter, 2023.

2022

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.
Datei: full
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
Datei: s11548-022-02695-z
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
Datei: s11548-022-02713-0
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
Datei: 22dgnc188
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
Datei: cdbme-2022-0015
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
Datei: fcvm.2022.772222

2021

Paul Dimitri, Valeria Pignataro, Mariangela Lupo, Donato Bonifazi, Maria Henke, Umberto M. Musazzi, Floris Ernst, Paola Minghetti, Davide F. Redaelli, Sophia G. Antimisiaris, Giovanni Migliaccio, Fedele Bonifazi, Luca Marciani, Aaron J. Courtenay, Nunzio Denora, and Angela Lopedota,
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
Datei: pharmaceutics13122178
Maria-Lisa Wilhelm, Mark K. H. Chan, Benedikt Abel, Florian Cremers, Frank-Andre Siebert, Stefan Wurster, David Krug, Robert Wolff, Jürgen Dunst, Guido Hildebrandt, Achim Schweikard, Dirk Rades, Floris Ernst, and Oliver Blanck,
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
Datei: s00066-020-01652-6
Niclas Bockelmann, Denise Kesslau, M. Bonsanto, Steffen Buschschlüter, and Floris Ernst,
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
Datei: s11548-021-02375-4