Prof. Dr.-Ing. Andreas Maier

Please find more details on my website.


Lehrstuhl für Informatik 5 (Mustererkennung)

Awards / Honours

ERC Synergy Grant

Project lead

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Helical 3-D X-ray Dark-field Imaging
Prof. Dr.-Ing. Andreas Maier
(01/04/2015 - 31/03/2019)

3D-/2D-Registrierung: Kontrast- und katheterbasierte 3D-/2D-Registrierung
Prof. Dr.-Ing. Andreas Maier
(01/01/2015 - 30/09/2015)

Consistency Conditions for Artifact Reduction in Cone-beam CT
Prof. Dr.-Ing. Andreas Maier

Magnetresonanz am Herzen
Prof. Dr.-Ing. Joachim Hornegger; Prof. Dr.-Ing. Andreas Maier
(01/03/2014 - 30/06/2017)

4D Herzbildgebung
Prof. Dr.-Ing. Andreas Maier
(01/02/2014 - 31/01/2018)

Project member

ICONOGRAPHICS: ICONOGRAPHICS: Computational Understanding of Iconography and Narration in Visual Cultural Heritage
Prof. Dr. Peter Bell
(01/04/2019 - 31/03/2021)

BIG-THERA: Integrative 'Big Data Modeling' for the development of novel therapeutic approaches for breast cancer
Prof. Dr. Diana Dudziak
(01/01/2017 - 31/12/2019)

Computer-based motive assessment
Prof. Dr. Oliver Schultheiss

Publications (Download BibTeX)

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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.
Vesal, S., Ravikumar, N., & Maier, A. (2019). A 2D dilated residual U-net for multi-organ segmentation in thoracic CT. In Su Ruan, Caroline Petitjean, Bernard Dubray, Bernard Dubray, Zoe Lambert (Eds.), CEUR Workshop Proceedings. Venice, IT: CEUR-WS.
Felsner, L., Hu, S., Maier, A., Bopp, J., Ludwig, V., Anton, G., & Riess, C. (2019). A 3-D Projection Model for X-ray Dark-field Imaging. Scientific Reports, 9.
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.
Liu, X., Huang, Z., Wang, Z., Wen, C., Jiang, Z., Yu, Z.,... Lu, Y. (2019). A deep learning based pipeline for optical coherence tomography angiography. Journal of Biophotonics.
Maier, A., Syben, C., Lasser, T., & Riess, C. (2019). A gentle introduction to deep learning in medical image processing [Eine sanfte Einführung in Tiefes Lernen in der Medizinischen Bildverarbeitung]. Zeitschrift für Medizinische Physik, 29(2), 86-101.
Lu, Y., Kowarschik, M., Huang, X., Xia, Y., Choi, J.-H., Chen, S.,... Maier, A. (2019). A learning-based material decomposition pipeline for multi-energy x-ray imaging. Medical Physics, 46(2), 689-703.
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.
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.
Aubreville, M., Bertram, C.A., Klopfleisch, R., & Maier, A. (2019). Augmented Mitotic Cell Count Using Field of Interest Proposal. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 321-326). Lübeck, DE: Springer Berlin Heidelberg.

Last updated on 2019-08-08 at 14:02