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)
2016
GPU-based real-time 3D workspace generation of arbitrary serial manipulators, 2016. pp. 56-61.
DOI: | 10.1109/iccar.2016.7486698 |
File: | iccar.2016.7486698 |
2015
Enhanced Tissue Thickness Computation by Exploiting Local Neighborhoods, Barcelona, Spain , 2015.
Tissue Segmentation from Head MRI: A Ground Truth Validation for Feature-Enhanced Tracking, Lübeck, Germany , 2015. pp. S184.
DOI: | 10.1515/bmt-2015-5008 |
File: | bmt-2015-5008 |
Respiratory motion tracking using Microsoft's Kinect v2 camera, Current Directions in Biomedical Engineering , vol. 1, no. 1, pp. 192-195, 2015.
DOI: | 10.1515/cdbme-2015-0048 |
File: | cdbme-2015-0048 |
Ray Interpolation for Generic Triangulation Based on a Galvanometric Laser Scanning System, New York: IEEE, 2015. pp. 1419-1422.
DOI: | 10.1109/ISBI.2015.7164142 |
File: | ISBI.2015.7164142 |
Optical localization of the human skull for cranial radiation therapy, Atlanta, GA, USA , 2015.
Medical Robotics., .... Springer, 2015.
ISBN: | 978-3-319-22891-4 |
File: | 9783319228907 |
GPU-based real-time generation of large ultrasound volumes from freehand 3D sweeps, Current Directions in Biomedical Engineering , vol. 1, no. 1, pp. 286-289, 2015.
DOI: | 10.1515/cdbme-2015-0071 |
File: | cdbme-2015-0071 |
Enriching 3D optical surface scans with prior knowledge: tissue thickness computation by exploiting local neighborhoods, International Journal of Computer Assisted Radiology and Surgery , vol. 11, no. 4, pp. 569-579, 2015. Springer Berlin Heidelberg.
DOI: | 10.1007/s11548-015-1246-6 |
File: | s11548-015-1246-6 |
Patient localization for robotized ultrasound-guided radiation therapy, 2015. pp. 105-112.
Efficient Estimation of Tissue Thicknesses using Sparse Approximation for Gaussian Processes, Milano, Italy: IEEE, 2015. pp. 7015-7018.
DOI: | 10.1109/EMBC.2015.7320007 |
File: | EMBC.2015.7320007 |
Data-driven Learning for Calibrating Galvanometric Laser Scanners, IEEE Sensors Journal , vol. 15, no. 10, pp. 5709-5717, 2015.
DOI: | 10.1109/jsen.2015.2447835 |
File: | jsen.2015.2447835 |
Calibration of galvanometric laser scanners using statistical learning methods, Berlin, Heidelberg, New York; Lübeck, Germany: Springer, 2015. pp. 467-472.
DOI: | 10.1007/978-3-662-46224-9_80 |
File: | 978-3-662-46224-9_80 |
Analysis of feature stability for laser-based determination of tissue thickness, San Francisco, CA , 2015. pp. 93130Q.
DOI: | 10.1117/12.2078722 |
File: | 12.2078722 |
4D Ultrasound Image Guidance for Cardiac Radiosurgery, Cookham, UK , 2015.
An Approach to Improve Accuracy of Optical Tracking Systems in Cranial Radiation Therapy, Cureus , vol. 7, no. 1, pp. e239, 2015.
A Study of Gaussian Noise Effects on Skin Thickness Measurement, Lübeck, Germany , 2015. pp. S190.
DOI: | 10.1515/bmt-2015-5008 |
File: | bmt-2015-5008 |
A comparison of two clinical correlation models used for real-time tumor tracking of semi-periodic motion: A focus on geometrical accuracy in lung and liver cancer patients, Radiotherapy and Oncology , vol. 115, no. 3, pp. 419-424, 2015.
DOI: | 10.1016/j.radonc.2015.05.004 |
File: | j.radonc.2015.05.004 |
Dosimetrischer Einfluss von residualen Trackingfehlern in der robotergestützten Radiochirurgie von Lebertumoren, Hamburg, Germany , 2015.
2014
Measuring cranial soft tissue thickness with MRI or pressure-compensated tracked ultrasound, British Journal of Medicine and Medical Research , vol. 4, no. 4, pp. 937-948, 2014.
WE-G-BRF-09: Force- and Image-Adaptive Strategies for Robotised Placement of 4D Ultrasound Probes, 2014. pp. 523.
DOI: | 10.1118/1.4889502 |
File: | 1.4889502 |
Tissue Thickness Estimation for High Precision Head-Tracking using a Galvanometric Laser Scanner - A Case Study, Chicago, IL: IEEE, 2014. pp. 3106-3109.
Multivariate respiratory motion prediction, Physics in Medicine and Biology , vol. 59, no. 20, pp. 6043, 2014.
Kalman Filter based Head Tracking for Cranial Radiation Therapy with low-cost Range-Imaging Cameras, Deserno, Thomas M. and Handels, Heinz and Tolxdorff, Thomas and Meinzer, Hans-Peter and Ehrhardt, Jan, Eds. Aachen, Germany; Berlin, Heidelberg: Springer, 2014. pp. 324-329.
DOI: | 10.1007/978-3-642-54111-7_60 |
File: | 978-3-642-54111-7_60 |

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