Ratzeburger Allee 160 23562 Lübeck Gebäude 64, Raum 103 (EG)
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Sven Böttger absolvierte von 1994 bis 1998 ein Informatikstudium mit Vertiefung in biomedizinischer Informatik an der der Hochschule Anhalt in Köthen. Die Diplomarbeit erstellte er im Zentrum für Medizinische Grundlagenforschung an der Martin-Luther-Universtität in Halle. Anschließend war er ununterbrochen bis 2016 als Softwareentwickler und Projektleiter für verschiedene Unternehmen der Medizintechnik und der Industrie tätig. Seit Dezember 2016 promoviert er am Institut für Robotik und Kognitive Systeme auf dem Gebiet der medizinischen Ultraschallrobotik.
Large area robotically assisted optical coherence tomography (LARA-OCT) for skin imaging with MHz-OCT surface tracking, in: Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, San Francisco, USA, pages 123670C, SPIE, 2023 | , , , , , , and ,
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Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion (2022), in: IEEE Robotics and Automation Letters | and ,
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Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends (2021), in: Current Robotics Reports, 2(55-71) | , , , , and ,
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Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates (2020), in: 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), 6:3(119-122) | , and ,
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Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks, Berlin, Germany, Proceedings of International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), 2020 | , , , , , and ,
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Target tracking accuracy and latency with different 4D ultrasound systems – a robotic phantom study (2020), in: Current Directions in Biomedical Engineering, 6:1 | , , and ,
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Tracking Performance of 4D Ultrasound Systems with Real-Time Streaming Interfaces - A Robotic Phantom Study, in: Medical Physics, Annual Meeting of the American Association of Physicists in Medicine (AAPM), 2020 | , , and ,
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Visual servoing for semi-automated 2D ultrasound scanning of peripheral arteries, in: Proc AUTOMED (2020), Infinite Science Publishing GmbH, 2020 | , , , , , , and ,
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Ergebnisse einer Akzeptanzumfrage zur Roboter-assistierten Ultraschalldiagnostik unter Gefäßmedizinern, Deutsche Gesellschaft für Chirurgie, 2019 | , and ,
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Medical robotics simulation framework for application-specific optimal kinematics (2019), in: Current Directions in Biomedical Engineering, 5:1(145-148) | , , and ,
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Robotics from the bench – Research for ultrasound automation with augmented reality visualization, in: 17th Three-Country Conference Minimally Invasive Surgery MIC 2019, 2019 | , , , and ,
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Robotik: automatisierte Verfahren in der Gefäßmedizin (2019), in: Gefäßchirurgie, 24(557–563) | , and ,
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Robotergestützte Ultraschall-Plattform für die Automatisierung und Standardisierung von Screening-Verfahren (2018), in: 135. Kongress der Deutschen Gesellschaft für Chirurgie(161) | , , , , , and ,
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Robotic ultrasound platform for automation and standardization of the screening process, European Society for Vascular Surgery, 2018 | , , , , and ,
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Force sensitive robotics for automated ultrasonic diagnostics and therapy, Joint conference of the German, Austrian and Swiss Societies for Biomedical Engineering, Dresden, pages s103-s108, De Gruyter, 2017 | , , , and ,
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Robotic 4D ultrasound solution for real-time visualization and teleoperation (2017), in: Current Directions in Biomedical Engineering, 3:2(559-561) | , , and ,
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