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 31015200 |
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
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 |
HoloLens: Third-person Perspective, Lübeck (Germany): Infinite Science Publishing GmbH, 2019. pp. 51-54.
| ISBN: | 978-3-945954-57-7 |
Ergebnisse einer Akzeptanzumfrage zur Roboter-assistierten Ultraschalldiagnostik unter Gefäßmedizinern, in 136. Kongress Deutsche Gesellschaft für Chirurgie , 2019.
Robust motion tracking of deformable targets in the liver using binary feature libraries in 4D ultrasound, 2019. pp. 601-604.
| DOI: | 10.1515/cdbme-2019-0151 |
| File: | cdbme-2019-0151 |
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 |
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.
Augmented Reality navigierte endovaskuläre Chirurgie -- das NavEVAR-Projekt, 2019.
Assessment of 4D Ultrasound Systems for Image-guided Radiation Therapy -- Image Quality, Framerates and CT Artifacts, 2019.
NAV EVAR Auf dem Weg zur strahlungsfreien Stentgraft Implantation, Würzburg (Germany) , 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.
Catheter navigation and augmented reality visualisation for endovascular aneurysm repair procedures, 2019.
Abstract: HoloLens Streaming of 3D Data from Ultrasound Systems to Augmented Reality Glasses, 2019. pp. 231.
| File: | 978-3-658-25326-4_51 |
SU-F-303-3: Assessment of CT artefacts caused by matrix array transducers for intra-modality registration in 4D ultrasound-guided radiotherapy, 2019. pp. E132-E133.
MO-K-303-3: Continuous long-term imaging with robotic 4D ultrasound for motion compensation in radiotherapy and beyond, 2019. pp. E287-E288.
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 |
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 |
2018
Towards personalized aortic valve prostheses - A sparse representation of the individual leaflet shape, Computing in Cardiology , vol. 45, 2018.
An SVR-based Data-driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development, Computing in Cardiology , vol. 45, 2018.
Image-based analysis of individual movement patterns of C. elegans, International Conference on Systems Biology 2018 , 2018.
Deep transfer learning for aortic root dilation identification in 3D ultrasound images, Current Directions in Biomedical Engineering , vol. 4, no. 1, pp. 71-74, 2018.
Real-Time Streaming of 3D Ultrasound Data to HoloLens, Aachen (Germany) , 2018. pp. S344.
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 |
Visuelle Unterstützung bei endovaskulären Eingriffen durch Darstellung einer virtuellen Angioskopie auf der HoloLens, Bonn (Germany) , 2018.

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- Bruder, Ralf
- Çallar, Tolga-Can
- Ernst, Floris
- Gerwin, Moritz
- Golwalkar, Rucha
- Higuchi, Saya
- Higuchi, Sebastian
- Horuz, Coşku Can
- Janorschke, Christian
- Kasenbacher, Geoffrey
- Kriebisch, Susann
- Krusen, Marius
- Lu, Xinyu
- Lim, Jungmin
- Männel, Georg
- Osburg, Jonas
- Otte, Sebastian
- Paysen, Jörg
- Rieckhoff, Cornelia
- Saggau, Volker
- Schwegmann, Holger
- Schweikard, Achim
- Starke, Julia
- Xie, Jingyang
