Franziska Mathis-Ullrich

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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