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Grounding Graph Network Simulators using Physical Sensor Observations


Mar 07, 2023
Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann

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* Accepted as a poster at the 11th International Conference on Learning Representations (ICLR), 2023 

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LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery


Feb 19, 2023
Paul Maria Scheikl, Balázs Gyenes, Rayan Younis, Christoph Haas, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

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Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution


Dec 19, 2022
Ramy A. Zeineldin, Mohamed E. Karar, Oliver Burgert, Franziska Mathis-Ullrich

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* Accepted in BraTS 2022 (as part of the BrainLes workshop proceedings distributed by Springer LNCS). arXiv admin note: text overlap with arXiv:2112.06554 

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Self-supervised iRegNet for the Registration of Longitudinal Brain MRI of Diffuse Glioma Patients


Nov 20, 2022
Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert

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* Accepted in the MICCAI BraTS-Reg 2022 Challenge (as part of the BrainLes workshop proceedings distributed by Springer LNCS) 

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LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes


Jul 15, 2022
Benjamin Alt, Christian Kunz, Darko Katic, Rayan Younis, Rainer Jäkel, Beat Peter Müller-Stich, Martin Wagner, Franziska Mathis-Ullrich

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* 6 pages, 5 figures, accepted at the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan 

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Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI


Dec 27, 2021
Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert

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* Accepted in BraTS 2021 (as part of the BrainLes workshop proceedings distributed by Springer LNCS) 

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Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning


Oct 10, 2021
Paul Maria Scheikl, Balázs Gyenes, Tornike Davitashvili, Rayan Younis, André Schulze, Beat P. Müller-Stich, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

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* Accepted at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) 

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Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark


Sep 30, 2021
Martin Wagner, Beat-Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng Ann Heng, Isabell Twick, Kadir Kirtac, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Hannes G. Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt

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