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 |
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
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},} |
Autonomous mapping of Rumex with a mobile robot, in Proceedings of 17. Wissenschaftstagung Okologischer Landbau , 2024. pp. 484-485.
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 |
Datei: | j.bspc.2023.105413 |
Autonomous robotic system for ultrasound imaging of patients in any pose, 2024.
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 |
Datei: | 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 |
Datei: | s23073532 |
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 |
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 |
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.
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 |
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 |
Datei: | Dateilink |
2022
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 |
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 |
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 |
Intelligent ultrasonic-aspirator for CNS/ tumor tissue differentiation -- a feasibility study using machine learning, Köln , 2022.
DOI: | 10.3205/22dgnc188 |
Datei: | 22dgnc188 |
Generalized Automatic Probe Alignment based on 3D Ultrasound, 2022. pp. 58-61.
DOI: | 10.1515/cdbme-2022-0015 |
Datei: | cdbme-2022-0015 |
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
Interdisciplinary clinical target volume generation for cardiac radioablation: Multi-center benchmarking for the RAdiosurgery for VENtricular TAchycardia (RAVENTA) trial, International Journal of Radiation Oncology Biology Physics , vol. 110, no. 3, pp. 745-756, 2021.
DOI: | 10.1016/j.ijrobp.2021.01.028 |
Datei: | j.ijrobp.2021.01.028 |
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 |
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 |
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 |
Datei: | 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 |
Datei: | cdbme-2021-1024 |
- Institut
- Anfahrt
- Kontakt
- Mitarbeitende
- Bruder, Ralf
- Çallar, Tolga-Can
- Ernst, Floris
- Gerwin, Moritz
- Golwalkar, Rucha
- Henke, Maria
- Higuchi, Saya
- Horuz, Coşku Can
- Janorschke, Christian
- Kasenbacher, Geoffrey
- Kairat, Sebastian
- Krusen, Marius
- Lu, Xinyu
- Nguyen, Ngoc Thinh
- Osburg, Jonas
- Otte, Sebastian
- Paysen, Jörg
- Rieckhoff, Cornelia
- Saggau, Volker
- Schwegmann, Holger
- Schweikard, Achim
- Starke, Julia
- Wulff, Daniel
- Xie, Jingyang