Profil Ali Moghiseh

Schwerpunkte/Kompetenzen

• Image Analysis
• Machine Learning
  
• Multiscale and Wavelet Approximation
• Linear and Nonlinear Programming
• Quantum Image Processing

 

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