Publications

Kenneth R. Hassler, Jason T. Collins, Ken Philip, and Mark W. Jones. Laparoscopic Cholecystectomy. StatPearls, January 2021. [PUMA: learning] URL

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. Imagenet: A large-scale hierarchical image database. 2009 IEEE conference on computer vision and pattern recognition, 248--255, 2009. [PUMA: imagenet learning]

Burr Settles. Active Learning. Active Learning, Morgan and Claypool Publishers, 2012. [PUMA: dblp learning]

Ralf Stauder, Daniel Ostler, Michael Kranzfelder, Sebastian Koller, Hubertus Feußner, and Nassir Navab. The TUM LapChole dataset for the M2CAI 2016 workflow challenge. CoRR, 2016. [PUMA: challenge learning m2cai phase surgery] URL

Klaus Schöffmann, M. Taschwer, S. Sarny, Bernd Münzer, Manfred Jürgen Primus, and Doris Putzgruber. Cataract-101: video dataset of 101 cataract surgeries. Proceedings of the 9th ACM Multimedia Systems Conference, 2018. [PUMA: cataract learning phase surgery]

Andru P. Twinanda, Sherif Shehata, Didier Mutter, Jacques Marescaux, Michel de Mathelin, and Nicolas Padoy. EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos. 2016. [PUMA: architecture cholec80 deep laparoscopic learning videos] URL

Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez Neila, Sebastian Wolf, Martin Zinkernagel, and Raphael Sznitman. CataNet: Predicting remaining cataract surgery duration. MICCAI 2021, 2021. [PUMA: cataract duration learning machine prediction surgery] URL

Carly R. Garrow, Karl-Friedrich Kowalewski, Linhong Li, Martin Wagner, Mona W. Schmidt, Sandy Engelhardt, Daniel A. Hashimoto, Hannes G. Kenngott, Sebastian Bodenstedt, Stefanie Speidel, Beat P. Müller-Stich, and Felix Nickel. Machine Learning for Surgical Phase Recognition. Annals of Surgery, (273)4:684--693, Ovid Technologies (Wolters Kluwer Health), November 2020. [PUMA: Learning Machine Phase Recognition Surgical] URL