Zum Hauptinhalt springen

Martin Uray

Titel/Grad: DI, BSc

Funktion: Lecturer

Offene Sprechstunden (Open Office Hours) SS21:

  • Mondays, 1pm-2.30pm
  • Friday, 8am-9am
  • exceptions: holidays and during beaks (e.g. eastern)

Simply call me on MS TEAMs, when you see I am available! No appointment needed.

Courses:

  • Data Analysis with Python
  • Digital Signal Processing (Lab, Summer Term also Lecture)
  • Hardware Oriented Signal Processing
  • Machine Learning
  • 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)