Zobrazeno 1 - 10
of 920
pro vyhledávání: '"Müller-Stich Beat P."'
Autor:
Fischer Nikola, Scheikl Paul, Marzi Christian, Galindo-Blanco Barbara, Kisilenko Anna, Müller-Stich Beat P., Wagner Martin, Mathis-Ullrich Franziska
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 1, Pp 87-91 (2021)
Smart medical phantoms for training and evaluation of endovascular procedures ought to measure impact forces on the vessel walls worth protecting to provide feedback to clinicians and articulated soft robots. Recent commercial smart phantoms are expe
Externí odkaz:
https://doaj.org/article/edc7887189d44e58bb3ea9f2674be445
Autor:
Seidlitz, Silvia, Sellner, Jan, Studier-Fischer, Alexander, Motta, Alessandro, Özdemir, Berkin, Müller-Stich, Beat P., Nickel, Felix, Maier-Hein, Lena
Robust semantic segmentation of intraoperative image data holds promise for enabling automatic surgical scene understanding and autonomous robotic surgery. While model development and validation are primarily conducted on idealistic scenes, geometric
Externí odkaz:
http://arxiv.org/abs/2408.15373
Autor:
Scheikl Paul Maria, Laschewski Stefan, Kisilenko Anna, Davitashvili Tornike, Müller Benjamin, Capek Manuela, Müller-Stich Beat P., Wagner Martin, Mathis-Ullrich Franziska
Publikováno v:
Current Directions in Biomedical Engineering, Vol 6, Iss 1, Pp 1-11 (2020)
Semantic segmentation of organs and tissue types is an important sub-problem in image based scene understanding for laparoscopic surgery and is a prerequisite for context-aware assistance and cognitive robotics. Deep Learning (DL) approaches are prom
Externí odkaz:
https://doaj.org/article/1a0b98c75e114068b3b7000b5c93c2f6
Autor:
Sellner, Jan, Seidlitz, Silvia, Studier-Fischer, Alexander, Motta, Alessandro, Özdemir, Berkin, Müller-Stich, Beat Peter, Nickel, Felix, Maier-Hein, Lena
Robust semantic segmentation of intraoperative image data could pave the way for automatic surgical scene understanding and autonomous robotic surgery. Geometric domain shifts, however, although common in real-world open surgeries due to variations i
Externí odkaz:
http://arxiv.org/abs/2303.10972
Autor:
Alt, Benjamin, Kunz, Christian, Katic, Darko, Younis, Rayan, Jäkel, Rainer, Müller-Stich, Beat Peter, Wagner, Martin, Mathis-Ullrich, Franziska
The semantic segmentation of surgical scenes is a prerequisite for task automation in robot assisted interventions. We propose LapSeg3D, a novel DNN-based approach for the voxel-wise annotation of point clouds representing surgical scenes. As the man
Externí odkaz:
http://arxiv.org/abs/2207.07418
Autor:
Seidlitz, Silvia, Sellner, Jan, Odenthal, Jan, Özdemir, Berkin, Studier-Fischer, Alexander, Knödler, Samuel, Ayala, Leonardo, Adler, Tim J., Kenngott, Hannes G., Tizabi, Minu, Wagner, Martin, Nickel, Felix, Müller-Stich, Beat P., Maier-Hein, Lena
Publikováno v:
Medical Image Analysis, Volume 80, 2022, 102488, ISSN 1361-8415
Semantic image segmentation is an important prerequisite for context-awareness and autonomous robotics in surgery. The state of the art has focused on conventional RGB video data acquired during minimally invasive surgery, but full-scene semantic seg
Externí odkaz:
http://arxiv.org/abs/2111.05408
Autor:
Scheikl, Paul Maria, Gyenes, Balázs, Davitashvili, Tornike, Younis, Rayan, Schulze, André, Müller-Stich, Beat P., Neumann, Gerhard, Wagner, Martin, Mathis-Ullrich, Franziska
Cognitive cooperative assistance in robot-assisted surgery holds the potential to increase quality of care in minimally invasive interventions. Automation of surgical tasks promises to reduce the mental exertion and fatigue of surgeons. In this work,
Externí odkaz:
http://arxiv.org/abs/2110.04857
Autor:
Wagner, Martin, Müller-Stich, Beat-Peter, Kisilenko, Anna, Tran, Duc, Heger, Patrick, Mündermann, Lars, Lubotsky, David M, Müller, Benjamin, Davitashvili, Tornike, Capek, Manuela, Reinke, Annika, Yu, Tong, Vardazaryan, Armine, Nwoye, Chinedu Innocent, Padoy, Nicolas, Liu, Xinyang, Lee, Eung-Joo, Disch, Constantin, Meine, Hans, Xia, Tong, Jia, Fucang, Kondo, Satoshi, Reiter, Wolfgang, Jin, Yueming, Long, Yonghao, Jiang, Meirui, Dou, Qi, Heng, Pheng Ann, Twick, Isabell, Kirtac, Kadir, Hosgor, Enes, Bolmgren, Jon Lindström, Stenzel, Michael, von Siemens, Björn, Kenngott, Hannes G., Nickel, Felix, von Frankenberg, Moritz, Mathis-Ullrich, Franziska, Maier-Hein, Lena, Speidel, Stefanie, Bodenstedt, Sebastian
PURPOSE: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-autonomous robot
Externí odkaz:
http://arxiv.org/abs/2109.14956
Autor:
Cizmic, Amila, Killat, David, Häberle, Frida, Schwabe, Nils, Hackert, Thilo, Müller-Stich, Beat P., Nickel, Felix
Publikováno v:
In Current Problems in Surgery August 2024 61(8)
Autor:
Roß, Tobias, Bruno, Pierangela, Reinke, Annika, Wiesenfarth, Manuel, Koeppel, Lisa, Full, Peter M., Pekdemir, Bünyamin, Godau, Patrick, Trofimova, Darya, Isensee, Fabian, Moccia, Sara, Calimeri, Francesco, Müller-Stich, Beat P., Kopp-Schneider, Annette, Maier-Hein, Lena
Challenges have become the state-of-the-art approach to benchmark image analysis algorithms in a comparative manner. While the validation on identical data sets was a great step forward, results analysis is often restricted to pure ranking tables, le
Externí odkaz:
http://arxiv.org/abs/2106.09302