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Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance

Jul 16, 2020
Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel

* Accepted at MICCAI 2020 

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Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model

May 29, 2020
Micha Pfeiffer, Carina Riediger, Stefan Leger, Jens-Peter Kühn, Danilo Seppelt, Ralf-Thorsten Hoffmann, Jürgen Weitz, Stefanie Speidel

* Provisionally accepted for MICCAI 2020 

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Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration

Feb 26, 2020
Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel

* OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging (2019) 29-37 

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Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video

Jul 26, 2019
Isabel Funke, Sebastian Bodenstedt, Florian Oehme, Felix von Bechtolsheim, Jürgen Weitz, Stefanie Speidel

* Accepted at MICCAI 2019. Source code will be made available 

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Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation

Jul 05, 2019
Micha Pfeiffer, Isabel Funke, Maria R. Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Engelhardt, Tobias Roß, Matthew J. Clarkson, Kurinchi Gurusamy, Brian R. Davidson, Lena Maier-Hein, Carina Riediger, Thilo Welsch, Jürgen Weitz, Stefanie Speidel

* Accepted at MICCAI 2019 

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Video-based surgical skill assessment using 3D convolutional neural networks

Mar 06, 2019
Isabel Funke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

* Accepted at IPCAI 2019; submitted to IJCARS (under revision). Source code will be released upon publication in IJCARS 

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Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data

Nov 08, 2018
Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel


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Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis

Nov 08, 2018
Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel


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Temporal coherence-based self-supervised learning for laparoscopic workflow analysis

Sep 07, 2018
Isabel Funke, Alexander Jenke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel, Sebastian Bodenstedt

* CARE 2018, CLIP 2018, OR 2.0 2018, ISIC 2018. Lecture Notes in Computer Science, vol 11041 (2018) 85-93 
* Accepted at the Workshop on Context-Aware Operating Theaters (OR 2.0), a MICCAI satellite event 

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