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Jürgen Weitz
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2020 – today
- 2024
- [j8]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): 985-993 (2024) - [j7]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): 1233-1241 (2024) - [j6]Reuben Docea, Jinjing Xu, Wei Ling, Alexander C. Jenke, Fiona R. Kolbinger, Marius Distler, Carina Riediger, Jürgen Weitz, Stefanie Speidel, Micha Pfeiffer:
SeeSaw: Learning Soft Tissue Deformation From Laparoscopy Videos With GNNs. IEEE Trans. Biomed. Eng. 71(12): 3432-3445 (2024) - [c12]Peng Liu, Sebastian Bodenstedt, Fiona R. Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel, Micha Pfeiffer:
Leveraging Expert Knowledge for Real-Time Online Adaptation of Intraoperative Liver Registration. ShapeMI@MICCAI 2024: 137-148 - [i13]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 abs/2402.19340 (2024) - 2023
- [i12]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. CoRR abs/2309.03048 (2023) - 2022
- [c11]Reuben Docea, Micha Pfeiffer, Jan Müller, Katja Krug, Matthias Hardner, Paul Riedel, Martin Menzel, Fiona R. Kolbinger, Laura Frohneberg, Jürgen Weitz, Stefanie Speidel:
A Laparoscopic Liver Navigation Pipeline with Minimal Setup Requirements. BioCAS 2022: 578-582 - [c10]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: 121-129 - 2021
- [c9]Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona R. Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel:
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. ICCV 2021: 3323-3333 - [c8]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. Image-Guided Procedures 2021 - [i11]Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona R. Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel:
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. CoRR abs/2103.17204 (2021) - 2020
- [j5]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): 1235-1245 (2020) - [c7]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: 724-734 - [c6]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: 752-762 - [i10]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 abs/2002.11367 (2020) - [i9]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 abs/2005.14695 (2020) - [i8]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 abs/2007.00548 (2020)
2010 – 2019
- 2019
- [j4]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): 1079-1087 (2019) - [j3]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): 1089-1095 (2019) - [j2]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): 1147-1155 (2019) - [j1]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): 1217-1225 (2019) - [c5]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: 29-37 - [c4]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: 119-127 - [c3]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: 467-475 - [i7]Isabel Funke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel:
Video-based surgical skill assessment using 3D convolutional neural networks. CoRR abs/1903.02306 (2019) - [i6]Micha Pfeiffer, Carina Riediger, Jürgen Weitz, Stefanie Speidel:
Learning Soft Tissue Behavior of Organs for Surgical Navigation with Convolutional Neural Networks. CoRR abs/1904.00722 (2019) - [i5]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 abs/1907.02882 (2019) - [i4]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 abs/1907.11454 (2019) - 2018
- [c2]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: 85-93 - [c1]Isabel Funke, Sebastian Bodenstedt, Carina Riediger, Jürgen Weitz, Stefanie Speidel:
Generative adversarial networks for specular highlight removal in endoscopic images. Image-Guided Procedures 2018: 1057604 - [i3]Isabel Funke, Alexander Jenke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel, Sebastian Bodenstedt:
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis. CoRR abs/1806.06811 (2018) - [i2]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 abs/1811.03382 (2018) - [i1]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 abs/1811.03384 (2018)
Coauthor Index
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