S01: Software Infrastructure
The aim of the scientific service project "Software Infrastructure" is to develop and disseminate a software platform and imaging data infrastructure, which will form the foundation for all software developed within the TCRC. This will connect the partners in such a way that will enable previous achievements to be integrated easily into the cognitive system being striven for. Duplicate work will be avoided and synergistic effects will be maximized. The ultimate goal is to enable the seamless integration of project results into the clinical workflow.
Our Team
Publications
Fetzer A, Zelzer S, Schroeder T, Meinzer HP and Nolden M. 2014. “An interactive 3D segmentation for the Medical Imaging Interaction Toolkit (MITK).” Proceedings of MICCAI IMIC (Interactive Medical Image Computing). |
Fetzer A, Metzger J, Katic D, März K, Wagner M et al. 2016 (accepted). “Towards an open-source semantic data infrastructure for integrating clinical and scientific data in cognition-guided surgery.” SPIE Medical Imaging. |
Fetzer A, Riecker N, Goch C and Nolden M. 2016 (submitted). “Suggesting optimal delineation planes for interactive 3D segmentation.” Bildverarbeitung für die Medizin (BVM) 2016. Springer Berlin Heidelberg. |
Gemmeke P, Maleshkova M, Philipp P, Götz M, Weber C. et al. 2014. “Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images.” Fifth International Workshop on Consuming Linked Data (COLD). |
Kämpgen B, März K, Hafezi M, Adler A and Philipp P. 2014. “Challenges in Collecting Patient Characteristics for Analysis using Linked Data.” 13. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC): 161-4. |
Kenngott HG, Wagner M, Gondan M, Nickel F, Nolden M et al. 2013. “Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging.” Surgical endoscopy (2013): 1-8. doi: 10.1007/s00464-013-3249-0. |
März K, Franz AM, Seitel A, Winterstein A, Bendl R et al. 2014. “MITK-US: real-time ultrasound support within MITK“ Int J CARS 9 (3): 411-20. doi: 10.1007/s11548-013-0962-z. |
März K, Hafezi M, Weller T, Saffari A, Nolden M et al. 2015. “Toward Knowledge-Based Liver Surgery: Holistic Information Processing for Surgical Decision Support” Int J CARS (Special Issue: IPCAI) 10 (6): 749-59. doi: 10.1007/s11548-015-1187-0. |
Nolden M, Zelzer S, Seitel A, Nabers (Wald) D, Müller M et al. 2013. “The Medical Imaging Interaction Toolkit: challenges and advances” Int J CARS 8 (4): 607-20. doi: 10.1007/s11548-013-0840-8. |
Philipp P, Gemmeke P, Maleshkova M, Götz M, Weber C et al. 2015. “Automatisierung von Vorverabeitungsschritten für medizinische Bilddaten mit semantischen Technologien“ Bildverarbeitung für die Medizin (BVM) 2015 Springer Berlin Heidelberg. |