Prof. Dr.-Ing. Andreas Maier


Mehr Details auf meiner Webseite.





Organisationseinheit


Department Informatik
Lehrstuhl für Informatik 5 (Mustererkennung)


Preise / Auszeichnungen


2018 : ERC Synergy Grant



Projektleitung

Go to first page Go to previous page 1 von 2 Go to next page Go to last page

(Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope):
4-D nanoSCOPE: Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope
Prof. Dr.-Ing. Andreas Maier
(01.04.2019 - 31.03.2025)

(TIME MACHINE : BIG DATA OF THE PAST FOR THE FUTURE OF EUROPE):
Time Machine: Big Data of the Past for the Future of Europe
Prof. Dr.-Ing. Andreas Maier
(01.03.2019 - 29.02.2020)

Ait4Surgery: Automatisiertes Intraoperatives Tracking zu Ablauf- und Dosisüberwachung in Röntgengestützten Minimalinvasiven Eingriffen
Prof. Dr. Björn Eskofier; Prof. Dr.-Ing. Andreas Maier
(01.06.2018 - 31.05.2021)

Verbesserte Charakterisierung des Versagensverhaltens von Blechwerkstoffen durch den Einsatz von Mustererkennungsmethoden
Prof. Dr.-Ing. Andreas Maier
(01.04.2017 - 31.03.2019)

DISPARITY: Digital, Semantic and Physical Analysis of Media Integrity
Prof. Dr.-Ing. Andreas Maier; Dr.-Ing. Christian Riess
(24.05.2016 - 23.05.2017)


Mitarbeit in Forschungsprojekten


ICONOGRAPHICS: ICONOGRAPHICS: Computational Understanding of Iconography and Narration in Visual Cultural Heritage
Prof. Dr. Peter Bell
(01.04.2019 - 31.03.2021)

Computer-basierte Messung von Motiven
Prof. Dr. Oliver Schultheiss
(01.01.2016)


Publikationen (Download BibTeX)

Go to first page Go to previous page 1 von 40 Go to next page Go to last page

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.
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
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. https://dx.doi.org/10.1016/j.zemedi.2018.12.003
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. https://dx.doi.org/10.1002/mp.13317
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
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.
Deitsch, S., Christlein, V., Berger, S., Buerhop-Lutz, C., Maier, A., Gallwitz, F., & Riess, C. (2019). Automatic classification of defective photovoltaic module cells in electroluminescence images. Solar Energy, 185, 455-468. https://dx.doi.org/10.1016/j.solener.2019.02.067
Li, Q., Luckner, C., Hertel, M., Radicke, M., & Maier, A. (2019). Combining Ultrasound and X-Ray Imaging for Mammography: A Prototype Design. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 245-250). Lübeck, DE: Springer Berlin Heidelberg.

Zuletzt aktualisiert 2019-22-01 um 17:48