%0 Journal Article
%A Wagner, Martin
%A Müller-Stich, Beat-Peter
%A Kisilenko, Anna
%A Tran, Duc
%A Heger, Patrick
%A Mündermann, Lars
%A Lubotsky, David M
%A Müller, Benjamin
%A Davitashvili, Tornike
%A Capek, Manuela
%A Reinke, Annika
%A Reid, Carissa
%A Yu, Tong
%A Vardazaryan, Armine
%A Nwoye, Chinedu Innocent
%A Padoy, Nicolas
%A Liu, Xinyang
%A Lee, Eung-Joo
%A Disch, Constantin
%A Meine, Hans
%A Xia, Tong
%A Jia, Fucang
%A Kondo, Satoshi
%A Reiter, Wolfgang
%A Jin, Yueming
%A Long, Yonghao
%A Jiang, Meirui
%A Dou, Qi
%A Heng, Pheng Ann
%A Twick, Isabell
%A Kirtac, Kadir
%A Hosgor, Enes
%A Bolmgren, Jon Lindström
%A Stenzel, Michael
%A von Siemens, Björn
%A Zhao, Long
%A Ge, Zhenxiao
%A Sun, Haiming
%A Xie, Di
%A Guo, Mengqi
%A Liu, Daochang
%A Kenngott, Hannes G
%A Nickel, Felix
%A Frankenberg, Moritz von
%A Mathis-Ullrich, Franziska
%A Kopp-Schneider, Annette
%A Maier-Hein, Lena
%A Speidel, Stefanie
%A Bodenstedt, Sebastian
%T Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
%J Medical image analysis
%V 86
%@ 1361-8415
%C Amsterdam [u.a.]
%I Elsevier Science
%M DKFZ-2023-00479
%P 102770
%D 2023
%X 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 robotic assistance or improve training of surgeons via data-driven feedback. In surgical workflow analysis up to 91
%K Endoscopic vision (Other)
%K Laparoscopic cholecystectomy (Other)
%K Surgical data science (Other)
%K Surgical workflow analysis (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:36889206
%R 10.1016/j.media.2023.102770
%U https://inrepo02.dkfz.de/record/274184