Prof. Dr.-Ing. Andreas Maier

Please find more details on my website.


Lehrstuhl für Informatik 5 (Mustererkennung)

Awards / Honours

ERC Synergy Grant

Project lead

Go to first page Go to previous page 1 of 9 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
Prof. Dr.-Ing. Andreas Maier
(01/03/2019 - 29/02/2020)

(Artificial Intelligence for Reinventing European Healthcare):
ai4euhealth: Artificial Intelligence for Reinventing European Healthcare
Prof. Dr.-Ing. Andreas Maier
(01/01/2019 - 31/12/2019)

iPV4.0: Laboranalyse von Degradationsmechanismen unter beschleunigter Alterung und Entwicklung geeigneter feldtauglicher bildgebender Detektionsverfahren und Entwicklung und Evaluation eines Algorithmus zur Fehlerdetektion und Prognostizierung der Ausfallwahrscheinlichkeit
Prof. Dr. Christoph Brabec; Prof. Dr.-Ing. Andreas Maier
(01/08/2018 - 31/07/2021)

(iPV 4.0: Intelligente vernetzte Produktion mittels Prozessrückkopplung entlang des Produktlebenszyklus von Solarmodulen):
Analysis of Defects on Solar Power Cells
Prof. Dr.-Ing. Andreas Maier
(01/08/2018 - 31/07/2021)

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)

Go to first page Go to previous page 1 of 61 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.
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.
Amrehn, M., Steidl, S., Kortekaas, R., Strumia, M., Weingarten, M., Kowarschik, M., & Maier, A. (2019). A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems. International Journal of Biomedical Imaging, 2019(2019), 1-21.
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.

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