| Recovery of surgical workflow without explicit models SA Ahmadi, T Sielhorst, R Stauder, M Horn, H Feussner, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2006 | 84 | 2006 |
| Random forests for phase detection in surgical workflow analysis R Stauder, A Okur, L Peter, A Schneider, M Kranzfelder, H Feussner, ... International Conference on Information Processing in Computer-Assisted …, 2014 | 36 | 2014 |
| 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 | 27 | 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 (7), 1035-1046, 2016 | 19 | 2016 |
| 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 | 12 | 2016 |
| 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 | 5 | 2015 |
| 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 | 4 | 2017 |
| Learning-based surgical workflow detection from intra-operative signals R Stauder, E Kayis, N Navab arXiv preprint arXiv:1706.00587, 2017 | 3 | 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 | 3 | 2015 |
| Detecting and analyzing the surgical workflow to aid human and robotic scrub nurses R Stauder, A Okur, N Navab The Hamlyn Symposium on Medical Robotics 91, 2014 | 3 | 2014 |
| A user-centered and workflow-aware unified display for the operating room R Stauder, V Belagiannis, LA Schwarz, A Bigdelou, E Söhngen, S Ilic, ... MICCAI Workshop on Modeling and Monitoring of Computer Assisted …, 2012 | 3 | 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 |
| 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 | 2 | 2012 |
| 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 ONKOLOGE 24 (5), 400-405, 2018 | | 2018 |
| Onkologische Chirurgie 4.0 D Ostler, N Marahrens, N Kohn, S Koller, R Stauder, N Navab Der Onkologe 24 (5), 400-405, 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 |
| IJCARS MICCAI 2015 Special Issue N Navab, A Okur, R Stauder International Journal of Computer Assisted Radiology and Surgery 11 (9 …, 2016 | | 2016 |
| 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, ... Age (years) 39, 28-62, 0 | | |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
