Siemens AG


Industrie / privates Unternehmen

Standort der Organisation:
Nürnberg, München, Deutschland


Forschungsprojekte mit FAU-Wissenschaftlerinnen und Wissenschaftlern


(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 (SmartDiF)
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: Koexistenz verschiedener Datenverkehrs-Klassen im Fahrzeug und Flugzeug
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)


Publikationen in Kooperation mit FAU-Wissenschaftlerinnen und Wissenschaftlern


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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.
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.
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.
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.
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. In Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014. 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.

Zuletzt aktualisiert 2018-22-03 um 08:10