Contact Walter Simson, MSc Mail: walter.simson@tum.de Chair for Computer Aided Medical Procedures & Augmented Reality Fakultät für Informatik Technische Universität München Boltzmannstr. 3 85748 Garching b. München Room: MI 03.13.042 Phone: +49 89 289 17079 Klinikum Rechts der Isar Interdisziplinäres Forschungslabor Ismaninger Str. 22 81675 München Room: Building 501 - 01.01.3a-c Phone: +49 89 4140 6457

Teaching

• Lecture Basic Mathematical Tools for Imaging and Visualization (2019WiSe)
• Praktikum Machine Learning in Medical Imaging (2019WiSe)
• Praktikum Machine Learning in Medical Imaging (2019SoSe)
• Lecture Basic Mathematical Tools for Imaging and Visualization (2018WiSe)
• Lecture Computer Aided Medical Procedures 2 (2018SoSe)
• Lecture Basic Mathematical Tools for Imaging and Visualization (2017WiSe)

Publications

2020
	H. Hase, MF. Azampour, M. Tirindelli, M. Paschali, W. Simson, E. Fatemizadeh, N. Navab Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning The original manuscript is available currently online on arXiv. (bib)
	T. Czempiel, M. Paschali, M. Keicher, W. Simson, H. Feußner, S.T. Kim, N. Navab TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (The pre-print is available currently online on arXiv) (bib)
	Z. Jiang, M. Grimm, M. Zhou, J. Esteban, W. Simson, G. Zahnd, N. Navab Automatic Normal Positioning of Robotic Ultrasound Probe based only on Confidence Map Optimization and Force Measurement IEEE Robotics and Automation Letters (presented at ICRA2020) (The video is available on youtube) (bib)
2019
	M. Paschali, F. Naeem, W. Simson, K. Steiger, M. Mollenhauer, N. Navab Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks The first two authors contributed equally. The original manuscript is available currently online on arXiv. (bib)
	M. Paschali, W. Simson, A. Guha Roy, R. Göbl, F. Naeem, C. Wachinger, N. Navab Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness 26th international conference on Information Processing in Medical Imaging (IPMI), Hong Kong 2019. The original publication is available currently online on arXiv and will become available at link.springer.com (bib)
	W. Simson, R. Göbl, M. Paschali, M. Krönke, K. Scheidhauer, S. Weber, N. Navab End-to-End Learning-Based Ultrasound Reconstruction The first two authors contributed equally. The original manuscript is available currently online on arXiv. (bib)
2018
	W. Simson, M. Paschali, N. Navab, G. Zahnd Deep Learning Beamforming for Sub-Sampled Ultrasound Data IEEE International Ultrasonics Symposium (IUS), 2018 Japan (bib)
	J. Esteban, W. Simson, S. Requena, A. Rienmüller, S. Virga, O. Zettinig, B. Frisch, S. Drazen, Y.-M. Ryang , N. Navab, C. Hennersperger Robotic Ultrasound-Guided Facet Joint Insertion International Journal of Computer Assisted Radiology and Surgery / 9th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Berlin, Germany, June 2018. (bib)