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Josefine Schreiter, M.Sc.Research ScientistFaculty of Computer Science Otto-von-Guericke University Magdeburg Office: G82-179Phone: ++49 391 67-59366
ed.ugvo@retierhcs.enifesoj
:liaM-E |
Research Interest
Therapy-based interventions focussing on treating oncological incidents became more apparent throughout the last years. Robotic integration in these kind of interventions yield the possibility to perform tasks to make treatment more effective. My current research topics are in the following fields:
- Human-robot collaboration (HRC) in the intervention room
- US-guided interventions
- applications in interventional CT
- Human-robot interaction (HRI) (e.g. gesture-based)
Professional Experience
Since 04/2019
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PhD Student at Computer-Assisted Surgery (CAS)/ Virtual and Augmented Reality (VAR) Group, Otto-von-Guericke University
Magdeburg, Germany
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04/2018 - 04/2019
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Student Researcher at Hasomed GmbH, Magdeburg, Germany
Product development of medical interactive software, GUI programming using Qt, Master Thesis:
"Development and evaluation of an interactive, task oriented biofeedback for the rehabilitation of patients with neurogenic dysphagia."
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08/2015 - 11/2015
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Marketing Intern at Mettler Toledo International Inc., Changzhou, China
Analysis of the medical device market in China, Tender preparation for Chinese customers
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02/2014 - 05/2015
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Research Assistant and Bachelor Thesis at Clinic of Psychiatry and Psychotherapy, University Hospital Jena, Germany
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02/2014 - 02/2015
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Student Trainee of Quality Assurance at Wacker Biotech GmbH, Jena, Germany
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Education
04/2016 - 04/2020
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Medical Systems Engineering, M.Sc., Otto-von-Guericke University Magdeburg, Germany
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10/2011 - 02/2015
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Medical Engineering, B.Eng., University of Applied Sciences Jena, Germany
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Scientific Publications
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Schreiter, J., Heinrich, F., Hatscher, B., Schott, D., Hansen, C.
(2024) |
Multimodal Human-Computer Interaction in Interventional Radiology and Surgery: A Systematic Literature Review |
International Journal of Computer Assisted Radiology and Surgery, accepted |
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Schreiter, J., Mielke, T., Schott, D., Thormann, M., Omari, J., Pech, M., Hansen, C. (2022) |
A Multimodal User Interface for Touchless Control of Robotic Ultrasound |
International Journal of Computer-Assisted Radiology and Surgery, 18, pp. 1429-1436 |
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Schreiter, J., Schott, D., Schwenderling, L., Hansen, C., Heinrich, F., Joeres, F. (2022) |
AR-Supported Supervision of Conditional Autonomous Robots: Considerations for Pedicle Screw Placement in the Future
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Journal of Imaging, Special Issue Medical Augmented Reality Summer School (MARSS), 8(10), pp. 255 |
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Schreiter, J., Semshchikov, V., Hanses, M., Elkmann, N., Hansen, C. (2022) |
Towards a Real-Time Control of Robotic Ultrasound using Haptic Force Feedback
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Current Directions in Biomedical Engineering, 8(1), pp. 81-84 |
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Schreiter, J., Joeres, J., March, C., Pech, M., Hansen, C. (2021) |
Application Potential of Robot-Guided Ultrasound During CT-guided Interventions |
MICCAI International Workshop of Advances in Simplifying Medical UltraSound (ASMUS), pp. 116-125 |
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