Zobrazeno 1 - 10
of 940
pro vyhledávání: '"Müller‐Stich, Beat P"'
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:
Schwarz, Anne-Catherine, Billeter, Adrian T., Scheurlen, Katharina M., Blüher, Matthias, Müller-Stich, Beat P.
Metabolic diseases, comprising type 2 diabetes mellitus (T2DM), dyslipidemia, and non-alcoholic steatohepatitis (NASH), are rapidly increasing worldwide. Conservative medical therapy, including the newly available drugs, has only limited effects and
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A83526
https://ul.qucosa.de/api/qucosa%3A83526/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A83526/attachment/ATT-0/
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:
Aegerter, Noa L.E., Kümmerli, Christoph, Just, Anouk, Girard, Thierry, Bandschapp, Oliver, Soysal, Savas D., Hess, Gabriel F., Müller-Stich, Beat P., Müller, Philip C., Kollmar, Otto
Publikováno v:
In Journal of Gastrointestinal Surgery December 2024 28(12):2015-2023
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:
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:
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:
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