Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Capek, Manuela"'
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:
Maier-Hein, Lena, Wagner, Martin, Ross, Tobias, Reinke, Annika, Bodenstedt, Sebastian, Full, Peter M., Hempe, Hellena, Mindroc-Filimon, Diana, Scholz, Patrick, Tran, Thuy Nuong, Bruno, Pierangela, Kisilenko, Anna, Müller, Benjamin, Davitashvili, Tornike, Capek, Manuela, Tizabi, Minu, Eisenmann, Matthias, Adler, Tim J., Gröhl, Janek, Schellenberg, Melanie, Seidlitz, Silvia, Lai, T. Y. Emmy, Pekdemir, Bünyamin, Roethlingshoefer, Veith, Both, Fabian, Bittel, Sebastian, Mengler, Marc, Mündermann, Lars, Apitz, Martin, Kopp-Schneider, Annette, Speidel, Stefanie, Kenngott, Hannes G., Müller-Stich, Beat P.
Image-based tracking of medical instruments is an integral part of surgical data science applications. Previous research has addressed the tasks of detecting, segmenting and tracking medical instruments based on laparoscopic video data. However, the
Externí odkaz:
http://arxiv.org/abs/2005.03501
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, Reid, Carissa, 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, Zhao, Long, Ge, Zhenxiao, Sun, Haiming, Xie, Di, Guo, Mengqi, Liu, Daochang, Kenngott, Hannes G., Nickel, Felix, Frankenberg, Moritz von, Mathis-Ullrich, Franziska, Kopp-Schneider, Annette, Maier-Hein, Lena, Speidel, Stefanie, Bodenstedt, Sebastian
Publikováno v:
In Medical Image Analysis May 2023 86
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
Akademický článek
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