Schwerpunkte/Kompetenzen
- Image Analysis
- Machine Learning
- Multiscale and Wavelet Approximation
- Linear and Nonlinear Programming
- Quantum Image Processing
Publikationen
Highlightpublikationen
- Geng, A.; Moghiseh, A.; Redenbach, C.; Schladitz, K.:
A hybrid quantum image edge detector for the NISQ era.
Quantum Machine Intelligence, Volume 4, Article number: 15 (2022). - Müller, O.; Fend, C.; Moghiseh, A.; Schladitz, K.; Stephani, H.; Weibel, T.:
Deep learning for image based shelve inventories.
10th International Symposium on Signal, Image, Video and Communications, ISIVC 2020: Saint-Etienne, France, 7–9 April 2021. Piscataway, NJ: IEEE, 2021. - Fend, C.; Moghiseh, A.; Redenbach, C.; Schladitz, K.:
Reconstruction of highly porous structures from FIB-SEM using a deep neural network trained on synthetic images.
Journal of Microscopy, 281, Nr. 1, pp. 16-27, 2021. - Moghiseh, A.; Schladitz, K.; Schlarb, A. K.; Suksut, B.:
Image analytical determination of the spherulite growth in polypropylene composite.
Image, analysis & stereology 37 (2018), No.2, pp.139-144 - Ohser, J.; Redenbach, C.; Moghiseh, A.:
The PPI Value of Open Foams and its Estimation by Image Analysis.
International Journal of Materials Research, 105, 671-678, (2014) - Lehmann, M.; Eisengräber-Pabst, J.; Ohser, J.; Moghiseh, A.:
Characterization of the Formation of Filter Paper using the Bartlett Spectrum of the Fiber Structure.
Image Analysis & Stereology, vol.32:77-87, (2013)
Sammlung der Publikationen von Ali Moghiseh in der Fraunhofer-Publica