Prof. Dr.-Ing. Achim Schweikard
Ratzeburger Allee 160
23562 Lübeck
Gebäude 64,
Raum 97
Email: | achim.schweikard(at)uni-luebeck.de |
Phone: | +49 451 31015200 |
Fax: | +49 451 31015204 |
Kurzbiographie
Achim Schweikard studied Mathematics at Hamburg University and University of Paris XI.
He obtained his PhD from Technical University of Berlin in 1989.
After that he worked as a research associate at the department of computer science at
Stanford university, within a joint appointment between Stanford's departments of
neurosurgery and computer science. In 1994 he joined Technical University of Munich
(TU Munich) as an Associate Professor. In 2002 he joined Luebeck University as a
Full Professor. He is the inventor of numerous technologies in medical robotics. His
invention of correlation-based tracking for cancer radiosurgery has started to become
the standard of care in cancer radiosurgery. A very large number of cancer patients
worldwide has now been treated with this new highly accurate method. His research areas
of interest include medical robotics and artificial intelligence methods.
Mitgliedschaften
- Programm Committee: Dt. Ges. Computer und Roboterassistierte Chirurgie - Jahrestagung 2011
- Programm Committee: Dt. Ges. Computer und Roboterassistierte Chirurgie - Jahrestagung 2010
- Programm Committee: Dt. Ges. Computer und Roboterassistierte Chirurgie - Jahrestagung 2009
- Programm Committee: Dt. Ges. Computer und Roboterassistierte Chirurgie - Jahrestagung 2008
- Programm Committee: AAPM Annual Meeting and Technical Exhibit in Houston, TX, July 27 - July 31, 2008
- Program Committee: CARS 2012 Computer Assisted Radiology and Surgery
- Program Committee: CARS 2009 Computer Assisted Radiology and Surgery
- Program Committee: CARS 2008 Computer Assisted Radiology and Surgery
- Program Committee: CARS 2007 Computer Assisted Radiology and Surgery
- Program Committee: CARS 2006 Computer Assisted Radiology and Surgery
- Program Committee: MICCAI 2007 Medical Image Computation and Computer-Aided Intervention (2007)
- Executive Committee: Computer-Aided Radiology (2005)
- Chairman: Jahrestagung Computer und Roboter-unterstützte Chirurgie (2004)
- President: Dt. Ges. Computer und Roboter-unterstützte Chirurgie (2003-04)
- Past-President: Dt. Ges. Computer und Roboter-unterstützte Chirurgie (2004-2005)
- Coordinator: Schwerpunktprogramm 1124 der Deutschen Forschungsgemeinschaft
- Program Committee: IEEE Workshop on Intelligent Robots and Systems (2006)
- Program Committee: IEEE Workshop on Intelligent Robots and Systems (2005)
- Program Committee: IEEE Workshop on Intelligent Robots and Systems (2004)
- Program Committee: 2nd Workshop for Medical Robotics, Navigation und Visualisation (MRNV), March 2007
- Program Committee: International Symposium on Biomedical Imaging (ISBI) 2012
- Program Committee: International Symposium on Biomedical Imaging (ISBI) 2011
- Member of Editorial Board: Computer Aided Surgery
- Member of Editorial Board: Int. Journal of Medical Robotics and Computer Assisted Surgery
- Member of Editorial Board: Int. Journal of Computer-Assisted Radiology and Surgery
- Member of Editorial Board: International Scholarly Research Network (ISRN) Robotics
- Member of Editorial Board: Journal of Computational Medicine
- Member of Editorial Board: International Journal of Advanced Robotic Systems
- Gradschool UNI Luebeck: Academic Director
2024
Semi-automated reproducible target transfer for cardiac radioablation – A multi-center cross-validation study within the RAVENTA trial, Radiotherapy and Oncology , vol. 200, Nov. 2024.
DOI: | https://doi.org/10.1016/j.radonc.2024.110499 |
A patient-specific cardiac motion estimation method for STereotactic Arrhythmia Radioablation (STAR) based on ECG-gated cardiac 4D CT, European Journal of Medical Physics , vol. 125, pp. S305, Sep. 2024.
DOI: | https://doi.org/10.1016/j.ejmp.2024.103899 |
A novel cardiac motion estimation method for stereotactic arrhythmia radioablation (STAR) based on ECG-gated cardiac 4D CT, Strahlentherapie und Onkologie , vol. 200, pp. 8-9, Mai 2024.
DOI: | https://doi.org/10.1007/s00066-024-02233-7 |
Bestrahlungsplanung für kardiale stereotaktische Radioablation (STAR) bei Patienten mit subkutanen implantierbaren Cardioverter Defibrillatoren (S-ICD), Strahlentherapie und Onkologie , vol. 200, pp. 158, Mai 2024.
DOI: | https://doi.org/10.1007/s00066-024-02233-7 |
Stereotactic arrhythmia radioablation for ventricular tachycardia in S-ICD patients: mission impossible?, Deutschen Gesellschaft für Kardiologie , 2024.
2023
Electroanatomical mapping after cardiac radioablation for treatment of incessant electrical storm: a case report within the RAVENTA trial, Strahlentherapie und Onkologie , vol. 199, pp. 1018–1024, Sep. 2023.
DOI: | 10.1007/s00066-023-02136-z |
Datei: | s00066-023-02136-z |
Zielübertragung vom elektroanatomischen Mapping auf das Planungs-CT für die kardiale stereotaktische Strahlentherapie - Kreuzvalidierung zweier Software-Ansätze für die RAVENTA-Studie, Strahlentherapie und Onkologie , vol. 199, pp. 119, Jun. 2023.
DOI: | https://doi.org/10.1007/s00066-023-02083-9 |
Reproducible target transfer from electroanatomic mapping to radiotherapy planning systems for cardiac radioablation - cross-validation for the RAVENTA trial, EP Europace , vol. 25, pp. 491-492, Mai 2023.
DOI: | 10.1093/europace/euad122.303 |
Datei: | euad122.303 |
Interim analysis of a multi-center multi-platform feasibility trial, Strahlentherapie und Onkologie , 2023.
Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography, Current Directions in Biomedical Engineering , vol. 9, no. 1, pp. 61-64, 2023.
DOI: | 10.1515/cdbme-2023-1016 |
Datei: | cdbme-2023-1016 |
Quality Assurance Process for the Fusion of Electroanatomical Mapping and Radiotherapy Planning Imaging Data in Cardiac Radioablation, Physics and Imaging in Radiation Oncology , vol. 25, 2023.
DOI: | 10.1016/j.phro.2022.12.003 |
Datei: | j.phro.2022.12.003 |
Zielübertragung vom elektroanatomischen Mapping auf Strahlentherapie-Planungssysteme für die kardiale Radioablation - Kreuzvalidierung zweier Ansätze für die RAVENTA-Studie, Deutschen Gesellschaft für Kardiologie , 2023.
2022
CLINICAL INVESTIGATION Treatment Planning for Cardiac Radioablation: Multicenter Multiplatform Benchmarking for the RAdiosurgery for VENtricular TAchycardia (RAVENTA) Trial, International Journal of Radiation Oncology Biology Physics , 2022.
Treatment Planning for Cardiac Radioablation: Multicenter Multiplatform Benchmarking for the XXX Trial (to appear), International Journal of Radiation Oncology*Biology*Physics , 2022.
2021
Interdisciplinary clinical target volume generation for cardiac radioablation: Multi-center benchmarking for the RAdiosurgery for VENtricular TAchycardia (RAVENTA) trial, International Journal of Radiation Oncology Biology Physics , vol. 110, no. 3, pp. 745-756, 2021.
DOI: | 10.1016/j.ijrobp.2021.01.028 |
Datei: | j.ijrobp.2021.01.028 |
Towards automated ultrasound imaging -- robotic image acquisition in liver and prostate for long-term motion monitoring, Physics in Medicine Biology , vol. 66, no. 9, pp. 094002, 2021.
DOI: | 10.1088/1361-6560/abf277 |
Datei: | abf277 |
Tumor-dose-rate variations during robotic radiosurgery of oligo and multiple brain metastases, Springer , vol. 197, pp. 581-591, 2021.
DOI: | 10.1007/s00066-020-01652-6 |
Datei: | s00066-020-01652-6 |
2020
A novel Chlorophyll Fluorescence based approach for Mowing Area Classification, IEEE Sensors Journal , 2020.
DOI: | 10.1109/JSEN.2020.3032722 |
Datei: | JSEN.2020.3032722 |
Exploiting Chlorophyll Fluorescense for Building Robust low-Cost Mowing Area Detectors, IEEE SENSORS Conference , pp. 4, 2020.
Datei: | IEEESensors2020Rottmann.pdf |
Parameter Optimization for Loop Closure Detection in Closed Environments, Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS) , pp. 8, 2020.
Datei: | IROSWS2020Rottmann.pdf |
Radiosurgery for ventricular tachycardia: preclinical and clinical evidence and study design for a German multi‐center multi‐platform feasibility trial (RAVENTA), Clinical Research in Cardiology , 2020.
2019
Medical robotics simulation framework for application-specific optimal kinematics, Current Directions in Biomedical Engineering , vol. 5, no. 1, pp. 145-148, 2019.
DOI: | 10.1515/cdbme-2019-0037 |
Datei: | cdbme-2019-0037 |
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.
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 |
Datei: | cdbme-2019-0151 |
Robotics from the bench -- Research for ultrasound automation with augmented reality visualization, 2019.
Datei: | MIC_2019_Program.pdf |
- Institut
- Anfahrt
- Kontakt
- Mitarbeitende
- 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