Prof. Dr.-Ing. Andreas Maier

Please find more details on my website.


Department Informatik
Lehrstuhl für Informatik 5 (Mustererkennung)

Awards / Honours

2018 : ERC Synergy Grant

Project lead

DISPARITY: Digital, Semantic and Physical Analysis of Media Integrity
Prof. Dr.-Ing. Andreas Maier; Dr.-Ing. Christian Riess
(24/05/2016 - 23/05/2017)

(GRK 1773: Heterogene Bildsysteme):
RTG 1773: Heterogeneous Image Systems, Project C1
Prof. Dr. Rebecca Fahrig; Prof. Dr.-Ing. Andreas Maier
(01/10/2012 - 31/03/2017)

Project member

Computer-based motive assessment
Prof. Dr. Oliver Schultheiss

Publications (Download BibTeX)

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Adams Seewald, L., Facco Rodrigues, V., Ollenschläger, M., Stoffel Antunes, R., Andre da Costa, C., da Rosa Righi, R.,... Fahrig, R. (2019). Toward analyzing mutual interference on infrared-enabled depth cameras. Computer Vision and Image Understanding.
Hu, S., Felsner, L., Maier, A., Ludwig, V., Anton, G., & Riess, C. (2018). A 3-D Projection Model for X-ray Dark-field Imaging.
Schirrmacher, F., Köhler, G.T., Husvogt, L., Fujimoto, J.G., Hornegger, J., & Maier, A. (2018). Abstract: QuaSI - Quantile Sparse Image A Prior for Spatio-Temporal Denoising of Retinal OCT Data. Paper presentation at Bildverarbeitung für die Medizin 2018, Erlangen.
Maier, A., Syben, C., Lasser, T., & Riess, C. (2018). A Gentle Introduction to Deep Learning in Medical Image Processing.
Ploner, S., Riess, C., Schottenhamml, J., Moult, E.M., Waheed, N.K., Fujimoto, J.G., & Maier, A. (2018). A Joint Probabilistic Model for Speckle Variance, Amplitude Decorrelation and Interframe Variance (IFV) Optical Coherence Tomography Angiography. In Proceedings des Workshops Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen (pp. 98--102). Erlangen.
Stoffel Antunes, R., Adams Seewald, L., Facco Rodrigues, V., Andre da Costa, C., da Silveira Junior, L.G., da Rosa Righi, R.,... Campanatti, G. (2018). A Survey of Sensors in Healthcare Workflow Monitoring. ACM Computing Surveys, 51(2).
Deitsch, S., Christlein, V., Berger, S., Buerhop-Lutz, C., Maier, A., Gallwitz, F.,... Rieß, C. (2018). Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images.
Köhler, G.T., Bätz, M., Naderi Bodaji, F., Kaup, A., Maier, A., & Riess, C. (2018). Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data.
Käppler, S., Maier, A., & Rieß, C. (2018). Differential Tomography: Influence of Sensitivity Direction and Noise-suppressing Windows. In Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) (pp. 119-122).
Davari, A., Özkan, H.C., Maier, A., & Riess, C. (2018). Fast Sample Generation with Variational Bayesian for Limited Data Hyperspectral Image Classification. In IEEE International Geoscience and Remote Sensing Symposium. Valencia, ES: IEEE.

Last updated on 2019-22-01 at 17:48