Recovery of surgical workflow without explicit models SA Ahmadi, T Sielhorst, R Stauder, M Horn, H Feussner, N Navab Medical Image Computing and Computer-Assisted Intervention–MICCAI 2006: 9th …, 2006 | 117 | 2006 |
Random forests for phase detection in surgical workflow analysis R Stauder, A Okur, L Peter, A Schneider, M Kranzfelder, H Feussner, ... Information Processing in Computer-Assisted Interventions: 5th International …, 2014 | 76 | 2014 |
The TUM LapChole dataset for the M2CAI 2016 workflow challenge R Stauder, D Ostler, M Kranzfelder, S Koller, H Feußner, N Navab arXiv preprint arXiv:1610.09278, 2016 | 65 | 2016 |
Superman-like X-ray vision: Towards brain-computer interfaces for medical augmented reality T Blum, R Stauder, E Euler, N Navab 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2012 | 59 | 2012 |
Parsing human skeletons in an operating room V Belagiannis, X Wang, HBB Shitrit, K Hashimoto, R Stauder, Y Aoki, ... Machine Vision and Applications 27, 1035-1046, 2016 | 42 | 2016 |
Surgical data processing for smart intraoperative assistance systems R Stauder, D Ostler, T Vogel, D Wilhelm, S Koller, M Kranzfelder, N Navab Innovative Surgical Sciences 2 (3), 145-152, 2017 | 16 | 2017 |
Automated surgical-phase recognition using rapidly-deployable sensors R DiPietro, R Stauder, E Kayis, A Schneider, M Kranzfelder, H Feussner, ... Proc MICCAI Workshop M2CAI, 2015 | 13 | 2015 |
A centralized data acquisition framework for operating theatres D Ostler, M Kranzfelder, R Stauder, D Wilhelm, H Feussner, A Schneider 2015 17th International Conference on E-health Networking, Application …, 2015 | 10 | 2015 |
A user-centered and workflow-aware unified display for the operating room R Stauder, V Belagiannis, L Schwarz, A Bigdelou, IS Söhngen Eric, ... MICCAI Workshop on Modeling and Monitoring of Computer Assisted …, 2012 | 7 | 2012 |
Learning-based surgical workflow detection from intra-operative signals R Stauder, E Kayis, N Navab arXiv preprint arXiv:1706.00587, 2017 | 6 | 2017 |
Detecting and analyzing the surgical workflow to aid human and robotic scrub nurses R Stauder, A Okur, N Navab 7th Hamlyn Symposium on Medical Robotics. London, 2014 | 5 | 2014 |
HCI design in the OR: A gesturing case-study A Bigdelou, R Stauder, T Benz, A Okur, T Blum, R Ghotbi, N Navab MICCAI Workshop on Modeling and Monitoring of Computer Assisted …, 2012 | 4 | 2012 |
Simultaneous replay of automatically synchronized videos of surgeries for feedback and visual assessment T Sielhorst, R Stauder, M Horn, T Mussack, A Schneider, H Feussner, ... International Journal of Computer Assisted Radiology and Surgery, Supplement …, 2007 | 3 | 2007 |
Context awareness for the operating room of the future RR Stauder Technische Universität München, 2018 | 2 | 2018 |
Investigation of performance log files of freehand SPECT acquisitions for usage characteristics and surgical phase determination A Okur, R Voigt, R Stauder, N Navab The Hamlyn Symposium on Medical Robotics, 89, 2014 | 1 | 2014 |
Oncological surgery 4.0 D Ostler, N Marahrens, N Kohn, S Koller, R Stauder, N Navab Der Onkologe 24, 400-405, 2018 | | 2018 |
Onkologische Chirurgie 4.0 D Ostler, N Marahrens, N Kohn, S Koller, R Stauder, N Navab Die Onkologie 24 (5), 400-405, 2018 | | 2018 |
Analysis of physiological data to quantify stress and workload of surgeons with different levels of training during a laparoscopic cholecystectomy N Samm, D Ostler, T Vogel, N Marahrens, D Wilhelm, H Feussner, ... Биомедицинская радиоэлектроника, 58-60, 2018 | | 2018 |
Analysis of physiological data to quantify stress and workload of sur-geons with different levels of training during a laparoscopic cholecys-tectomy N Samm, D Ostler, T Vogel, N Marahrens, D Wilhelm, H Feussner, ... XIII RGC 39, 151, 2018 | | 2018 |
Quantitative Characterization of Components of Computer Assisted Interventions A Okur, R Stauder, H Feussner, N Navab arXiv preprint arXiv:1702.00582, 2017 | | 2017 |