Siemens AG


Industrie / privates Unternehmen

Standort der Organisation:
Nürnberg, München, Deutschland


Forschungsprojekte mit FAU-Wissenschaftlern


(Smarte Dienstleistungs-Fabrik (SmartDiF)):
SmartDiF: Methodik und Konzeption für ein Fakten-basiertes Service Engineering
Prof. Dr. Kathrin Möslein
(01.09.2015 - 31.08.2019)
KoDaK: Koexistenz verschiedener Datenverkehrs-Klassen im Fahrzeug und Flugzeug
Prof. Dr.-Ing. Michael Glaß; Prof. Dr.-Ing. Jürgen Teich
(01.11.2014 - 30.04.2017)


Publikationen in Kooperation mit FAU-Wissenschaftern


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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.
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.
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.
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.
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. 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.
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
Stromer, D., Kugler, P., Bauer, S., Lauritsch, G., & Maier, A. (2016). Data Completeness Estimation for 3D C-Arm Scans with Rotated Detector to Enlarge the Lateral Field-of-View. In Bildverarbeitung für die Medizin 2016 (pp. 164-169). Berlin.
Franzmann, F.P., Klaus, T., Ulbrich, P., Deinhardt, P., Steffes, B., Scheler, F., & Schröder-Preikschat, W. (2016). From Intent to Effect: Tool-based Generation of Time-Triggered Real-Time Systems on Multi-Core Processors. In Proceedings of the 19th IEEE Symposium on Real-Time Computing (ISORC 2016). York, UK, GB.
Yu, Z., Maier, A.-K., Lauritsch, G., Vogt, F., Schonborn, M., Kohler, C.,... Noo, F. (2016). Image quality assessment for extended-volume C-arm CT using a multi-turn reverse helix. Institute of Electrical and Electronics Engineers Inc..
Haase, V., Taubmann, O., Huang, Y., Krings, G., Lauritsch, G., Maier, A., & Mertins, A. (2016). Make the Most of Time: Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT. Paper presentation at Bildverarbeitung für die Medizin 2016, Berlin.
Weinlich, A., Amon, P., Hutter, A., & Kaup, A. (2016). Probability Distribution Estimation for Autoregressive Pixel-Predictive Image Coding. IEEE Transactions on Image Processing, 25(3), 1382-1395. https://dx.doi.org/10.1109/TIP.2016.2522339
Hohenstein, U., & Elsner, C. (2015). A Case Study on Model-Driven Development and Aspect-Oriented Programming: Benefits and Liabilities. In Software Technologies (pp. 269-290). Cham, Switzerland: Springer Verlag.
Joblin, M., Mauerer, W., Apel, S., Siegmund, J., & Riehle, D. (2015). From Developer Networks to Verified Communities: A Fine-Grained Approach. In Proceedings of the 37th International Conference on Software Engineering (pp. 563-573). Firenze, Italy, IT: IEEE.
Aklan, B., Jakoby, B.W., Watson, C.C., Braun, H., Ritt, P., & Quick, H.H. (2015). GATE Monte Carlo simulations for variations of an integrated PET/MR hybrid imaging system based on the Biograph mMR model. Physics in Medicine and Biology, 60(12), 4731-52. https://dx.doi.org/10.1088/0031-9155/60/12/4731
Hahn, K., Rassner, U., Davidson, H.C., Sehoendube, H., Stierstorfer, K., Hornegger, J., & Noo, F. (2015). Iterative CT reconstruction with small pixel size: distance-driven forward projector versus Joseph's. In Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94123D (March 18, 2015). International Society for Optical Engineering; 1999.

Zuletzt aktualisiert 2018-22-03 um 08:10