Siemens AG, Healthcare Sector

Industrie / privates Unternehmen

Standort der Organisation:
Erlangen u.a., Deutschland

Forschungsprojekte mit FAU-Wissenschaftlerinnen und Wissenschaftlern

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(Predicitve Prevention and personalized Interventional Stroke Therapy):
P3-Stroke: Predicitve Prevention and personalized Interventional Stroke Therapy
Prof. Dr.-Ing. Andreas Maier
(01.01.2016 - 31.12.2018)
(proMT — Prognostische modellbasierte online MR-Thermometrie bei minimalinvasiver Thermoablation zur Behandlung von Lebertumoren):
Modellreduktion zur prognostischen online MR-Thermometrie
Prof. Dr. Nicole Marheineke
(01.01.2016 - 31.12.2019)
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)

Publikationen in Kooperation mit FAU-Wissenschaftlerinnen und Wissenschaftlern

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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.
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.
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.
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).
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.
Hoppe, E., Wetzl, J., Forman, C., Koerzdoerfer, G., Schneider, M., Speier, P.,... Maier, A. (2019). Free-Breathing, Self-Navigated and Dynamic 3-D Multi-Contrast Cardiac CINE Imaging Using Cartesian Sampling and Compressed Sensing. In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition) (pp. 2129). Montreal, CA.
Koutouzi, G., Pfister, M., Breininger, K., Hellström, M., Roos, H., & Falkenberg, M. (2019). Iliac artery deformation during EVAR. Vascular.
Gündel, S., Grbic, S., Georgescu, B., Liu, S., Maier, A., & Comaniciu, D. (2019). Learning to recognize abnormalities in chest X-rays with location-aware dense networks. In Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 757-765). Madrid, ES: Springer Verlag.
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.
Kaiser, N., Fieselmann, A., Vesal, S., Ravikumar, N., Ritschl, L., Kappler, S., & Maier, A. (2019). Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability. In MEDICAL IMAGING 2019: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT. San Diego, CA, US: BELLINGHAM: SPIE-INT SOC OPTICAL ENGINEERING.
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.
Koerzdoerfer, G., Kirsch, R., Liu, K., Pfeuffer, J., Hensel, B., Jiang, Y.,... Nittka, M. (2019). Reproducibility and Repeatability of MR Fingerprinting Relaxometry in the Human Brain. Radiology, 292(2), 429-437.
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.
Ghesu, F.-C., Georgescu, B., Grbic, S., Maier, A., Hornegger, J., & Comaniciu, D. (2018). Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data. In Informatik Aktuell (pp. 1-1). Erlangen.
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.
Schebesch, F., Magdalena, H., Mertelmeier, T., Maier, A., & Ritschl, L. (2018). A Hybrid Approach for Virtual Clinical Trials for Mammographic Imaging. In Proc. of SPIE (pp. 107180Z). Atlanta, GA, USA: SPIE.

Zuletzt aktualisiert 2016-28-11 um 13:59