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Martin Uray

Titel/Grad: DI, BSc

Funktion: Lecturer

Open Office Hours SS21 (till end of May):

  • Mondays, 1pm-2.30pm and Fridays, 8am-9am
    • exceptions: holidays and during beaks (e.g. eastern)
    • last Office Hours in Summer Term: May 31st (after this date only on appointment)
  • Simply call me on MS TEAMs, when you see I am available! No appointment needed.

 

Courses:

  • Data Analysis with Python (WS)
  • Digital Signal Processing (Lab in WS and SS, Summer Term also Lecture)
  • Hardware Oriented Signal Processing (WS)
  • Machine Learning (SS)
  • Reinforcment Learning (starting Fall 2022)

Competences:

  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Reinforcement Learning

Selected Publications:
van der Heyden, B.1, Uray, M.1, Fonseca, G. P., Huber, P., Us, D., Messner, I., Law, A., Parii, A., Reisz, N., Rinaldi, I., Vilches-Freixas, G., Deutschmann, H., Verhaegen, F.2, & Steininger, P.2 (2020). A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder. Physics in Medicine & Biology. https://doi.org/10.1088/1361-6560/ab8954

1 shared first authoship
2 shared last-authorship

Für weitere Details siehe: https://martin.uray.at

Kontaktdaten:
fon:  +43 (0)50-2211-1304
fax: +43 (0)50-2211-1349
email: martin.uray@fh-salzburg.ac.at
website: https://martin.uray.at

Martin Uray

Martin Uray (Foto: FH Salzburg)