Jürgen Weitz

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Active Learning

Convolutional Neural Networks

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Medical Imaging: Image-Guided Procedures

Publications

Alexander C. Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel
One model to use them all: training a segmentation model with complementary datasets. Int. J. Comput. Assist. Radiol. Surg. 19 (6) (2024)
Alexander C. Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel
One model to use them all: Training a segmentation model with complementary datasets. CoRR (2024)
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona R. Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel
Exploring semantic consistency in unpaired image translation to generate data for surgical applications. Int. J. Comput. Assist. Radiol. Surg. 19 (6) (2024)
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel
Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications. CoRR (2023)
Alexander Jenke, Sebastian Bodenstedt, Martin Wagner, Johanna M. Brandenburg, Antonia Stern, Lars Mündermann, Marius Distler, Jürgen Weitz, Beat P. Müller-Stich, Stefanie Speidel
Stay Focused - Enhancing Model Interpretability Through Guided Feature Training. MICCAI (3) (2022)
Reuben Docea, Micha Pfeiffer, Jan Müller, Katja Krug, Matthias Hardner, Paul Riedel, Martin Menzel, Fiona Kolbinger, Laura Frohneberg, Jürgen Weitz, Stefanie Speidel
A Laparoscopic Liver Navigation Pipeline with Minimal Setup Requirements. BioCAS (2022)
Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. ICCV (2021)
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
Simultaneous localisation and mapping for laparoscopic liver navigation : a comparative evaluation study. Medical Imaging: Image-Guided Procedures (2021)
Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. CoRR (2021)
Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance. CoRR (2020)
Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
Rethinking Anticipation Tasks: Uncertainty-Aware Anticipation of Sparse Surgical Instrument Usage for Context-Aware Assistance. MICCAI (3) (2020)
Micha Pfeiffer, Carina Riediger, Stefan Leger, Jens-Peter Kühn, Danilo Seppelt, Ralf-Thorsten Hoffmann, Jürgen Weitz, Stefanie Speidel
Non-Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model. MICCAI (4) (2020)
Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration. CoRR (2020)
Georges Hattab, Carina Riediger, Jürgen Weitz, Stefanie Speidel
A case study: impact of target surface mesh size and mesh quality on volume-to-surface registration performance in hepatic soft tissue navigation. Int. J. Comput. Assist. Radiol. Surg. 15 (8) (2020)
Micha Pfeiffer, Carina Riediger, Stefan Leger, Jens-Peter Kühn, Danilo Seppelt, Ralf-Thorsten Hoffmann, Jürgen Weitz, Stefanie Speidel
Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model. CoRR (2020)
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
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation. CoRR (2019)
Micha Pfeiffer, Carina Riediger, Jürgen Weitz, Stefanie Speidel
Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 14 (7) (2019)
Micha Pfeiffer, Carina Riediger, Jürgen Weitz, Stefanie Speidel
Learning Soft Tissue Behavior of Organs for Surgical Navigation with Convolutional Neural Networks. CoRR (2019)
Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration. OR/MLCN@MICCAI (2019)
Isabel Funke, Sebastian Bodenstedt, Florian Oehme, Felix von Bechtolsheim, Jürgen Weitz, Stefanie Speidel
Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video. MICCAI (5) (2019)
Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat P. Müller-Stich, Michael Breucha, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel
Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data. Int. J. Comput. Assist. Radiol. Surg. 14 (6) (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
Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation. MICCAI (5) (2019)
Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Michael Breucha, Beat P. Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel
Active learning using deep Bayesian networks for surgical workflow analysis. Int. J. Comput. Assist. Radiol. Surg. 14 (6) (2019)
Isabel Funke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel
Video-based surgical skill assessment using 3D convolutional neural networks. CoRR (2019)
Isabel Funke, Sebastian Bodenstedt, Florian Oehme, Felix von Bechtolsheim, Jürgen Weitz, Stefanie Speidel
Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video. CoRR (2019)
Isabel Funke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel
Video-based surgical skill assessment using 3D convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 14 (7) (2019)
Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel
Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis. CoRR (2018)
Isabel Funke, Alexander Jenke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel, Sebastian Bodenstedt
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis. CoRR (2018)
Isabel Funke, Alexander Jenke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel, Sebastian Bodenstedt
Temporal Coherence-based Self-supervised Learning for Laparoscopic Workflow Analysis. OR 2.0/CARE/CLIP/ISIC@MICCAI (2018)
Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat P. Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel
Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data. CoRR (2018)
Isabel Funke, Sebastian Bodenstedt, Carina Riediger, Jürgen Weitz, Stefanie Speidel
Generative adversarial networks for specular highlight removal in endoscopic images. Medical Imaging: Image-Guided Procedures (2018)