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)
2019
Integrating Label Uncertainty in Ultrasound Image Classification using Weighted Support Vector Machines, Current Directions in Biomedical Engineering , vol. 5, no. 1, pp. 285-287, 2019.
DOI: | 10.1515/cdbme-2019-0072 |
File: | cdbme-2019-0072 |
In-vivo treatment accuracy analysis of active motion-compensated liver SBRT through registration of plan dose to post-therapeutic MRI-morphologic alterations, Radiotherapy and Oncology , vol. 134, pp. 158-165, 2019.
File: | S0167814019300283 |
Human Forehead Recognition: A Novel Biometric Modality based on NIR Laser Backscattering Feature Image using Deep Transfer Learning, IET Biometrics , vol. online first, 2019. Institution of Engineering and Technology.
DOI: | 10.1049/iet-bmt.2019.0015 |
File: | iet-bmt.2019.0015 |
HoloLens: Third-person Perspective, Lübeck (Germany): Infinite Science Publishing GmbH, 2019. pp. 51-54.
ISBN: | 978-3-945954-57-7 |
Catheter navigation and augmented reality visualisation for endovascular aneurysm repair procedures, 2019.
Generating Healthy Aortic Root Geometries from Ultrasound Images of the Individual Pathological Morphology Using Deep Convolutional Autoencoders, Computing in Cardiology , 2019.
Catheter pose-dependent virtual angioscopy images visualized on augmented reality glasses, Current Directions in Biomedical Engineering , vol. 5, no. 1, pp. 289-292, 2019.
First steps into catheter guidance including shape sensing for endovascular aneurysm repair procedures, Hamburg (Germany) , 2019. pp. e610-e611.
Assessment of 4D Ultrasound Systems for Image-guided Radiation Therapy -- Image Quality, Framerates and CT Artifacts, 2019.
Abstract: HoloLens Streaming of 3D Data from Ultrasound Systems to Augmented Reality Glasses, 2019. pp. 231.
File: | 978-3-658-25326-4_51 |
Augmented Reality navigierte endovaskuläre Chirurgie -- das NavEVAR-Projekt, 2019.
Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations, Proceedings of Machine Learning Research , vol. 102, pp. 236-249, 2019.
Development of HoloLens Mount for Third-Person Perspective and Augmented Reality Application for Endovascular Aortic Repair Procedures, Lübeck (Germany): Infinite Science Publishing GmbH, 2019. pp. 47-50.
ISBN: | 978-3-945954-57-7 |
File: | watch |
Ergebnisse einer Akzeptanzumfrage zur Roboter-assistierten Ultraschalldiagnostik unter Gefäßmedizinern, in 136. Kongress Deutsche Gesellschaft für Chirurgie , 2019.
Experimental visualization of vascular structures with Microsoft Hololens -- Set-up for navigated contrast agent and radiation-sparing endovascular procedures (NAV-CARS EVAR), 2019. pp. e104.
2018
Real-Time Streaming of 3D Ultrasound Data to HoloLens, Aachen (Germany) , 2018. pp. S344.
WE-HI-KDBRB1-02: Characterization of 4D ultrasound systems with streaming interfaces for real-time motion compensation in radiotherapy, in Medical Physics , 2018. pp. E644.
Visuelle Unterstützung bei endovaskulären Eingriffen durch Darstellung einer virtuellen Angioskopie auf der HoloLens, Bonn (Germany) , 2018.
Towards personalized aortic valve prostheses - A sparse representation of the individual leaflet shape, Computing in Cardiology , vol. 45, 2018.
Streaming of 3D Data from Ultrasound Systems to Augmented Reality Glasses (HoloLens), Leipzig (Germany): Thomas Neumuth, Andreas Melzer, Claire Chalopin, 2018. pp. 2-3.
ISBN: | 978-3-00-060786-8 |
Robotic ultrasound platform for automation and standardization of the screening process, 2018.
Relationship between NIR laser power and the human forehead tissue backscattering image features: Photonic Solutions for Better Health Care VI, Popp, Jürgen and Tuchin, Valery V. and Pavone, Francesco S., Eds. Strasbourg (France): SPIE, 2018. pp. 136.
DOI: | 10.1117/12.2306827 |
ISBN: | 9781510618961 |
File: | 12.2306827 |
Robotergestützte Ultraschall-Plattform für die Automatisierung und Standardisierung von Screening-Verfahren, 135. Kongress der Deutschen Gesellschaft für Chirurgie , pp. 161, 2018.
File: | abstract.php |
New navigation method for the treatment of aneurysms: Navigated endovascular aortic repair (Nav EVAR), 2018. pp. e18.
Learning motion artefacts in non - Cartesian magnetic resonance imaging, Biomedical Technology/Biomedizinische Technik , vol. 63, no. S1, pp. S280, 2018.
DOI: | 10.1515/bmt-2018-6051 |
File: | bmt-2018-6051 |

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