Prof. Dr. rer. nat. habil. Floris Ernst
Ratzeburger Allee 160
23562 Lübeck
Gebäude 64,
Raum 95
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
HoloLens: Third-person Perspective, Lübeck (Germany): Infinite Science Publishing GmbH, 2019. pp. 51-54.
ISBN: | 978-3-945954-57-7 |
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 |
Generating Healthy Aortic Root Geometries from Ultrasound Images of the Individual Pathological Morphology Using Deep Convolutional Autoencoders, Computing in Cardiology , 2019.
Augmented Reality navigierte endovaskuläre Chirurgie -- das NavEVAR-Projekt, 2019.
First steps into catheter guidance including shape sensing for endovascular aneurysm repair procedures, Hamburg (Germany) , 2019. pp. e610-e611.
Abstract: HoloLens Streaming of 3D Data from Ultrasound Systems to Augmented Reality Glasses, 2019. pp. 231.
File: | 978-3-658-25326-4_51 |
Assessment of 4D Ultrasound Systems for Image-guided Radiation Therapy -- Image Quality, Framerates and CT Artifacts, 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.
Catheter navigation and augmented reality visualisation for endovascular aneurysm repair procedures, 2019.
Ergebnisse einer Akzeptanzumfrage zur Roboter-assistierten Ultraschalldiagnostik unter Gefäßmedizinern, in 136. Kongress Deutsche Gesellschaft für Chirurgie , 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.
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.
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 |
Towards personalized aortic valve prostheses - A sparse representation of the individual leaflet shape, Computing in Cardiology , vol. 45, 2018.
New navigation method for the treatment of aneurysms: Navigated endovascular aortic repair (Nav EVAR), 2018. pp. e18.
An SVR-based Data-driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development, Computing in Cardiology , vol. 45, 2018.
Navigation and visualisation with HoloLens in endovascular aortic repair, Innovative Surgical Sciences , 2018.
File: | iss-2018-2001.xml |
A visual probe positioning tool for 4D ultrasound-guided radiotherapy, 2018. pp. 883-886.
DOI: | 10.1109/EMBC.2018.8512390 |
File: | EMBC.2018.8512390 |
Robotergestützte Ultraschall-Plattform für die Automatisierung und Standardisierung von Screening-Verfahren, 135. Kongress der Deutschen Gesellschaft für Chirurgie , pp. 161, 2018.
File: | abstract.php |
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.
- Institute
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- Staff
- Bruder, Ralf
- Çallar, Tolga-Can
- Erben, Niclas
- Ernst, Floris
- Gerwin, Moritz
- Golwalkar, Rucha
- Henke, Maria
- Higuchi, Saya
- Horuz, Coşku Can
- Janorschke, Christian
- Kasenbacher, Geoffrey
- Krusen, Marius
- Lu, Xinyu
- Nguyen, Ngoc Thinh
- Osburg, Jonas
- Otte, Sebastian
- Paysen, Jörg
- Rieckhoff, Cornelia
- Saggau, Volker
- Schwegmann, Holger
- Schweikard, Achim
- Wulff, Daniel
- Xie, Jingyang