Deep Learning in Imaging Sciences

July 19-20, 2018 - Innsbruck


The development of fast and accurate algorithms is a central mathematical aspect of image reconstruction. Examples include various kinds of medical imaging applications, compressed sensing, deconvolution, or super-resolution microscopy. Recently, a new class of algorithms based on deep learning for such type of problems appeared. With deep learning, image reconstruction is performed by artificial neural networks, whose weights can be adjusted to appropriate training data. While still in their infancy, these techniques already show astonishing performance.

In this workshop, leading experts will report on recent progress towards using deep learning for various imaging applications.



  • Markus Haltmeier
  • Manuela Nairz


  • Maximum 20 participants.
  • Location: Hotel aDLERS, Bruneckerstraße 1, 6020-Innsbruck AUSTRIA.
    Hotel aDLERS booking information.
  • The conference fee (including conference dinner, coffee breaks, and one lunch) is EUR 200 €.
  • Registration until all slots are filled (deadline  May 31th, 2018).
  • Download the Workshop Poster