Jürgen Weitz

According to our database, Jürgen Weitz authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploring semantic consistency in unpaired image translation to generate data for surgical applications.

Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona R. Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel

Int. J. Comput. Assist. Radiol. Surg., June, 2024

One model to use them all: training a segmentation model with complementary datasets.

Alexander C. Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel

Int. J. Comput. Assist. Radiol. Surg., June, 2024

Leveraging Expert Knowledge for Real-Time Online Adaptation of Intraoperative Liver Registration.

Peng Liu, Sebastian Bodenstedt, Fiona R. Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel, Micha Pfeiffer

Proceedings of the Shape in Medical Imaging - International Workshop, 2024

2022

Stay Focused - Enhancing Model Interpretability Through Guided Feature Training.

Alexander Jenke, Sebastian Bodenstedt, Martin Wagner, Johanna M. Brandenburg, Antonia Stern, Lars Mündermann, Marius Distler, Jürgen Weitz, Beat P. Müller-Stich, Stefanie Speidel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A Laparoscopic Liver Navigation Pipeline with Minimal Setup Requirements.

Reuben Docea, Micha Pfeiffer, Jan Müller, Katja Krug, Matthias Hardner, Paul Riedel, Martin Menzel, Fiona R. Kolbinger, Laura Frohneberg, Jürgen Weitz, Stefanie Speidel

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021

Simultaneous localisation and mapping for laparoscopic liver navigation : a comparative evaluation study.

Reuben Docea, Micha Pfeiffer, Sebastian Bodenstedt, Fiona R. Kolbinger, Lukas Höller, Ines Wittig, Ralf-Thorsten Hoffmann, Esther G. C. Troost, Carina Riediger, Jürgen Weitz, Stefanie Speidel

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data.

Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona R. Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A case study: impact of target surface mesh size and mesh quality on volume-to-surface registration performance in hepatic soft tissue navigation.

Georges Hattab, Carina Riediger, Jürgen Weitz, Stefanie Speidel

Int. J. Comput. Assist. Radiol. Surg., 2020

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks.

Micha Pfeiffer, Carina Riediger, 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

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data.

Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat P. Müller-Stich, Michael Breucha, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

Int. J. Comput. Assist. Radiol. Surg., 2019

Active learning using deep Bayesian networks for surgical workflow analysis.

Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Michael Breucha, Beat P. Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

Int. J. Comput. Assist. Radiol. Surg., 2019

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

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

Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data.

Sebastian Bodenstedt, Martin Wagner, 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, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

CoRR, 2018

Generative adversarial networks for specular highlight removal in endoscopic images.

Isabel Funke, Sebastian Bodenstedt, Carina Riediger, Jürgen Weitz, Stefanie Speidel

Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Temporal Coherence-based Self-supervised Learning for Laparoscopic Workflow Analysis.

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

Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018