Siemens AG


Industry / private company

Location:
Nürnberg, München, Germany


Research projects with FAU researchers


(Automatisiertes Intraoperatives Tracking zur Ablauf- und Dosisüberwachung in RöntgengestütztenMinimalinvasiven Eingriffen):
AIT4Surgery: Automatisiertes Intraoperatives Tracking zur Ablauf- und Dosisüberwachung in RöntgengestütztenMinimalinvasiven Eingriffen
Prof. Dr.-Ing. Andreas Maier
(01/06/2018 - 31/05/2021)
(Smarte Dienstleistungs-Fabrik (SmartDiF)):
SmartDiF: Methodik und Konzeption für ein Fakten-basiertes Service Engineering
Prof. Dr. Kathrin Möslein
(01/09/2015 - 31/08/2019)
Blutmorphometrie: Auftrag zur Erhebung morphometrischer Daten in zellulären humanen Blutbestandteilen
Prof. Dr. Dr. Oliver Friedrich
(25/08/2015 - 10/10/2015)
KoDaK: Coexistence of different Traffic Classes in Vehicles and Airplanes
Prof. Dr.-Ing. Michael Glaß; Prof. Dr.-Ing. Jürgen Teich
(01/11/2014 - 30/04/2017)
Mathematische Modellierung und Numerische Simulation von Stahlwalzprozessen
Prof. Dr. Nicole Marheineke
(01/01/2013 - 31/12/2014)


Publications in cooperation with FAU scientists


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Breininger, K., Hanika, M., Weule, M., Kowarschik, M., Pfister, M., & Maier, A. (2019). 3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 172-177). Lübeck, DE: Springer Berlin Heidelberg.
Zhong, X., Strobel, N., Birkhold, A., Kowarschik, M., Fahrig, R., & Maier, A. (2019). A machine learning pipeline for internal anatomical landmark embedding based on a patient surface model. International Journal of Computer Assisted Radiology and Surgery, 14(1), 53--61. https://dx.doi.org/10.1007/s11548-018-1871-y
Roser, P., Birkhold, A., Zhong, X., Stepina, E., Kowarschik, M., Fahrig, R., & Maier, A. (2019). Effects of Tissue Material Properties on X-Ray Image, Scatter and Patient Dose A Monte Carlo Simulation. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 270-275). Lübeck, DE: Springer Berlin Heidelberg.
Haase, V., Stierstorfer, K., Hahn, K., Schöndube, H., Maier, A., & Noo, F. (2019). Exploring the space between smoothed and non-smooth total variation for 3D iterative CT reconstruction. In Hilde Bosmans, Guang-Hong Chen, Taly Gilat Schmidt (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. San Diego, CA, US: SPIE.
Metzner, M., Albrecht, F., & Handwerker, A. (2019). Flexible Automation in High-Variant Electronics Production through Digital Planning of Advanced Hybrid Robot Systems. In Proceedings of the European Robotics Forum 2019 (ERF2019). Bukarest, RO.
Amrehn, M., Strumia, M., Kowarschik, M., & Maier, A. (2019). Interactive Neural Network Robot User Investigation for Medical Image Segmentation. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 56-61). Lübeck, DE: Springer Berlin Heidelberg.
Metzner, M., Krieg, L., Merhof, J., Ködel, T., & Franke, J. (2019). Intuitive Interaction with Virtual Commissioning of Production Systems for Design Validation. Procedia CIRP, 84, 892-895. https://dx.doi.org/10.1016/j.procir.2019.08.004
Preuhs, A., Ravikumar, N., Manhart, M., Stimpel, B., Hoppe, E., Syben, C.,... Maier, A. (2019). Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 134-139). Lübeck, DE: Springer Berlin Heidelberg.
Metzner, M., Barth, F., Bönig, J., & Franke, J. (2019). Methodology for digital planning and virtual validation of retroactively automated assembly systems. In Schüppstuhl T., Tracht K., Roßmann J. (Eds.), Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter. (pp. 148-157). Berlin, Heidelberg: Springer Vieweg.
Preuhs, A., Manhart, M., Hoppe, E., Kowarschik, M., & Maier, A. (2019). Motion Gradients for Epipolar Consisntecy. In 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Philadelphia.
Hariharan, S.G., Kaethner, C., Strobel, N., Kowarschik, M., DiNitto, J., Albarqouni, S.,... Navab, N. (2019). Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-019-01968-4
Preuhs, A., Maier, A., Manhart, M., Kowarschik, M., Hoppe, E., Fotouhi, J.,... Unberath, M. (2019). Symmetry prior for epipolar consistency. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-019-02027-8
Metzner, M., Bönig, J., Blank, A., Schäffer, E., & Franke, J. (2018). “Human-In-The-Loop”- Virtual Commissioning of Human-Robot Collaboration Systems. In Dr.-Ing. Thorsten Schüppstuhl, Prof. Dr.-Ing. Kirsten Tracht, Prof. Dr.-Ing. Jörg Franke (Eds.), Tagungsband des 3. Kongresses Montage Handhabung Industrieroboter. Springer Vieweg.
Breininger, K., Albarqouni, S., Kurzendorfer, T., Pfister, M., Kowarschik, M., & Maier, A. (2018). Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. International Journal of Computer Assisted Radiology and Surgery, 13(8), 1221-1231. https://dx.doi.org/10.1007/s11548-018-1779-6
Würfl, T., Maass, N., Dennerlein, F., Aichert, A., & Maier, A. (2018). Physical Constraints for Beam Hardening Reduction using Polynomial Models. In Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (pp. 356-359). Salt Lake City, USA.
Ghosh, S., Shet, R., Amon, P., Hutter, A., & Kaup, A. (2018). Robustness of Deep Convolutional Neural Networks for Image Degradations. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, Canada, CA.
Ghosh, S., Amon, P., Hutter, A., & Kaup, A. (2017). Detecting Closely Spaced and Occluded Pedestrians Using Specialized Deep Models for Counting. In Proceedings of the IEEE Visual Communications and Image Processing (VCIP). St. Petersburg, Florida, US.
Mentl, K., Mailhé, B., Ghesu, F.-C., Schebesch, F., Haderlein, T., Maier, A., & Nadar, M. (2017). Noise Reduction In Low-Dose CT Using a 3D Multiscale Sparse Denoising Autoencoder. In 2017 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (pp. 1-6). Tokyo, Japan.
Schroeder, L., Wetzl, J., Maier, A., Lauer, L., Bollenbeck, J., Fenchel, M., & Speier, P. (2016). A Novel Method for Contact-Free Cardiac Synchronization Using the Pilot Tone Navigator. In Proceedings of the 24th Annual Meeting of the ISMRM (ISMRM 2016) (pp. 410). Singapur.
Neumann, D., Mansi, T., Itu, L., Georgescu, B., Kayvanpour, E., Sedaghat-Hamedani, F.,... Comaniciu, D. (2016). A Self-Taught Artificial Agent for Multi-Physics Computational Model Personalization. Medical Image Analysis, N/A(0), N/A. https://dx.doi.org/10.1016/j.media.2016.04.003

Last updated on 2018-22-03 at 08:10