Siemens AG, Healthcare Sector


Industrie / privates Unternehmen

Standort der Organisation:
Erlangen u.a., Deutschland


Forschungsprojekte mit FAU-Wissenschaftlern


EFIMoves: EFI Moves: Individualized Diagnosis and Treatment in motion
Prof. Dr. Jochen Klucken; Prof. Dr. Jürgen Winkler
(01.01.2014 - 31.12.2017)
(Spitzencluster Medical Valley, Verbund Horizontale Innovationen):
H-01: ProHTA – Prospective Health Technology Assessment
Dr.-Ing. Anatoli Djanatliev; Prof. Dr. Reinhard German
(01.01.2011 - 31.03.2015)
(Spitzencluster Medical Valley, Verbund Intelligente Sensori):
IS-05: SmartSensorsB: Erforschung eines Millimeterwellen-Sensors zur nicht-invasiven Erfassung von Blutparametern
Prof. Dr.-Ing. Georg Fischer; Maximilian Hofmann; Kurt Emmerich Höller
(01.07.2010 - 30.06.2014)
BIG: BIG - Bewegung als Investition in Gesundheit
Prof. Dr. Alfred Rütten
(01.01.2005 - 30.06.2008)


Publikationen in Kooperation mit FAU-Wissenschaftern


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Liebig, P., Heidemann, R.M., Hensel, B., & Porter, D.A. (2019). Accelerated silent echo-planar imaging. Magnetic Resonance Imaging, 55, 81-85. https://dx.doi.org/10.1016/j.mri.2018.09.016
Schneider, M., Janas, G., Lugauer, F., Hoppe, E., Nickel, D., Dale, B.M.,... Bashir, M.R. (2019). Accurate fatty acid composition estimation of adipose tissue in the abdomen based on bipolar multi-echo MRI. Magnetic Resonance in Medicine, 81(4), 2330-2346. https://dx.doi.org/10.1002/mrm.27557
Grimm, A., Meyer, H., Nickel, M.D., Nittka, M., Raithel, E., Chaudry, O.,... Quick, H.H. (2019). A COMPARISON BETWEEN 6-POINT DIXON MRI AND MR SPECTROSCOPY TO QUANTIFY MUSCLE FAT IN THE THIGH OF SUBJECTS WITH SARCOPENIA. Journal of Frailty & Aging, 8(1), 21-26. https://dx.doi.org/10.14283/jfa.2018.16
Luckner, C., Magdalena, H., Ritschl, L., Maier, A., & Kappler, S. (2019). Assessment of measurement deviations: length-extended x-ray imaging for orthopedic applications. In Medical Imaging 2019: Physics of Medical Imaging (pp. 1094839). San Diego, CA, USA.
Li, Q., Luckner, C., Hertel, M., Radicke, M., & Maier, A. (2019). Combining Ultrasound and X-Ray Imaging for Mammography. In Bildverarbeitung für die Medizin 2019. (pp. 245--250). Springer.
Ludwig, V., Seifert, M., Hauke, C., Hellbach, K., Horn, F., Pelzer, G.,... Anton, G. (2019). Exploration of different x-ray Talbot-Lau setups for dark-field lung imaging examined in a porcine lung. Physics in Medicine and Biology, 64(6). https://dx.doi.org/10.1088/1361-6560/ab051c
Grimm, A., Nickel, M.D., Chaudry, O., Uder, M., Jakob, F., Kemmler, W.,... Engelke, K. (2019). Feasibility of Dixon magnetic resonance imaging to quantify effects of physical training on muscle composition-A pilot study in young and healthy men. European Journal of Radiology, 114, 160-166. https://dx.doi.org/10.1016/j.ejrad.2019.03.019
Koerzdoerfer, G., Jiang, Y., Speier, P., Pang, J., Ma, D., Pfeuffer, J.,... Nittka, M. (2019). Magnetic resonance field fingerprinting. Magnetic Resonance in Medicine, 81(4), 2347-2359. https://dx.doi.org/10.1002/mrm.27558
Magdalena, H., Luckner, C., Wicklein, J., Grunz, J.-P., Gassenmaier, T., Ritschl, L., & Kappler, S. (2019). Misalignment compensation for ultra-high-resolution and fast CBCT acquisitions. In Medical Imaging 2019: Physics of Medical Imaging (pp. 109481M). San Diego.
Ghesu, F.-C., Georgescu, B., Zheng, Y., Grbic, S., Maier, A., Hornegger, J., & Comaniciu, D. (2019). Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(1), 176-189. https://dx.doi.org/10.1109/TPAMI.2017.2782687
Arbogast, N., Kurzendorfer, T., Breininger, K., Mountney, P., Toth, D., Narayan, S.A., & Maier, A. (2019). Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 191-196). Lübeck, DE: Springer Berlin Heidelberg.
Schneider, M., Lugauer, F., Hoppe, E., Nickel, D., Dale, B.M., Kiefer, B.,... Bashir, M.R. (2018). Accuracy of Fatty Acid Quantification using Bipolar Multi-Echo MRI for Varying Numbers of Echoes. In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (pp. 5615). Paris, France.
Ellmann, S., Kammerer, F., Allmendinger, T., Hammon, M., Janka, R.M., Lell, M.,... Kramer, M. (2018). Advanced Modeled Iterative Reconstruction (ADMIRE) Facilitates Radiation Dose Reduction in Abdominal CT. Academic Radiology, 25(10), 1277-1284. https://dx.doi.org/10.1016/j.acra.2018.01.014
Würfl, T., Maass, N., Dennerlein, F., & Maier, A. (2018). A new calibration-free beam hardening reduction method for industrial CT. In Proceedings of the 8th Conference on Industrial Computed Tomography (iCT) 2018 (pp. tbd). Wels, Austria.
Röther, J., Moshage, M., Dey, D., Schwemmer, C., Tröbs, M., Blachutzik, F.,... Marwan, M. (2018). Comparison of invasively measured FFR with FFR derived from coronary CT angiography for detection of lesion-specific ischemia: Results from a PC-based prototype algorithm. Journal of Cardiovascular Computed Tomography, 12(2), 101-107. https://dx.doi.org/10.1016/j.jcct.2018.01.012
Hoppe, E., Körzdorfer, G., Nitka, M., Würfl, T., Wetzl, J., Lugauer, F.,... Maier, A. (2018). Deep Learning for Magnetic Resonance Fingerprinting: Accelerating the Reconstruction of Quantitative Relaxation Maps. In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (26th Annual Meeting & Exhibition) (pp. 2791). Paris, France.
Hoffmann, M., Würfl, T., Maass, N., Dennerlein, F., Aichert, A., & Maier, A. (2018). Empirical Scatter Correction using the Epipolar Consistency Condition. In Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (pp. 193-197). Salt Lake City, USA.
Luckner, C., Mertelmeier, T., Maier, A., & Ritschl, L. (2018). Estimation of the Source-Detector Alignment of Cone-Beam X-ray Systems using Collimator Edge Tracking. In Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (pp. 78-81). Salt Lake City, USA.
Grimm, A., Meyer, H., Nickel, M.D., Nittka, M., Raithel, E., Chaudry, O.,... Engelke, K. (2018). Evaluation of 2-point, 3-point, and 6-point Dixon magnetic resonance imaging with flexible echo timing for muscle fat quantification. European Journal of Radiology, 103, 57-64. https://dx.doi.org/10.1016/j.ejrad.2018.04.011
Schneider, M., Lugauer, F., Hoppe, E., Nickel, D., Dale, B.M., Kiefer, B.,... Bashir, M.R. (2018). Fat Content and Fatty Acid Composition Quantification Using a 3D Stack-of-Radial Trajectory With Adaptive Gradient Calibration. In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (pp. 2773). Paris, France.

Zuletzt aktualisiert 2016-28-11 um 13:59