Temporal Coherence-based Self-supervised Learning for Laparoscopic Workflow Analysis. - Isabel Funke; Alexander Jenke; Sören Torge Mees; Jürgen Weitz; Stefanie Speidel; Sebastian Bodenstedt (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis. - Sebastian Bodenstedt; Dominik Rivoir; Alexander Jenke; Martin Wagner 001; Sören Torge Mees; Jürgen Weitz; Stefanie Speidel (CoRR, 2018)

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data. - Sebastian Bodenstedt; Martin Wagner 001; Lars Mündermann; Hannes Kenngott; Beat P. Müller-Stich; Sören Torge Mees; Jürgen Weitz; Stefanie Speidel (CoRR, 2018)

Active learning using deep Bayesian networks for surgical workflow analysis. - Sebastian Bodenstedt; Dominik Rivoir; Alexander Jenke; Martin Wagner 001; Michael Breucha; Beat P. Müller-Stich; Sören Torge Mees; Jürgen Weitz; Stefanie Speidel (Int. J. Comput. Assist. Radiol. Surg., 2019)

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data. - Sebastian Bodenstedt; Martin Wagner 001; Lars Mündermann; Hannes Kenngott; Beat P. Müller-Stich; Michael Breucha; Sören Torge Mees; Jürgen Weitz; Stefanie Speidel (Int. J. Comput. Assist. Radiol. Surg., 2019)

Video-based surgical skill assessment using 3D convolutional neural networks. - Isabel Funke; Sören Torge Mees; Jürgen Weitz; Stefanie Speidel (Int. J. Comput. Assist. Radiol. Surg., 2019)