Workshop - 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.

Organizers:

  • Markus Haltmeier
  • Manuela Nairz

Information:

  • 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 pdf button

 

List of confirmed speakers

  • Antholzer, Stefan (University of Innsbruck, Austria)
  • Dreier, Florian (University of Innsbruck, Austria)
  • Gibali, Aviv (ORT Braude College of Engineering Karmiel, Israel)
  • Haltmeier, Markus (University of Innsbruck, Austria)
  • Hauptmann, Andreas (University College London, UK)
  • Kofler, Andreas (Charité Berlin, Germany)
  • Li, Housen (MPI for Biophysical Chemistry Göttingen, Germany)
  • Nuster, Robert (University of Graz, Austria)
  • Sappl, Johannes (University of Innsbruck, Austria)
  • Schwab, Johannes (University of Innsbruck, Austria)
  • Staudt, Thomas (University of Göttingen, Germany)

 

Schedule

Thursday, July 19, 2018
   
08:30 - 08:55 Registration
08:55 - 09:00 Workshop opening
09:00 - 09:45 Robert Nuster
09:45 - 10:15 Stephan Antholzer
10:15 - 11:00 Coffee break and discussion
11:00 - 11:45 Markus Haltmeier
11:45 - 12:15 Floarian Dreier
12:15 - 14:00 Lunch break
14:00 - 14:45 Andreas Hauptmann
14;45 - 15:15 Coffee break and discussion
15:15 - 15:45 Johannes Sappl
15:45 - 16:15 Johannes Schwab
17:00 Workshop dinner
Friday, July 20, 2018
   
09:00 - 09:45 Aviv Gibali
09:45 - 10:15 Thomas Staudt
10:15 - 11:00 Coffee break and discussion
11:00 - 11:30 Andreas Kofler
11:30 - 12:15 Housen Li
12:15 Markus Haltmeier
13:00 Free solcial programm

List of accepted participants

  1. Antholzer, Stephan (University of Innsbruck, Austria)
  2. Dreier, Florian (University of Innsbruck, Austria)
  3. Gibali, Aviv (University of Haifa, Israel)
  4. Gruber, Nadja (University of Innsbruck, Austria)
  5. Haltmeier, Markus (University of Innsbruck, Austria)
  6. Hauptmann, Andreas (University College London, United Kingdom)
  7. Kofler, Andreas (Charité - Universitätsmedizin Berlin, Germany)
  8. Li, Housen (Max Planck Institute for Biophysical Chemistry, Göttingen, Germany)
  9. Neumann, Lukas (University of Innsbruck, Austria)
  10. Nuster, Robert (University of Graz, Austria)
  11. Rabanser, Simon (University of Innsbruck, Austria)
  12. Sappl, Johannes (University of Innsbruck, Austria)
  13. Schiefeneder, Daniela (University of Innsbruck, Austria)
  14. Schwab, Johannes (Universitay of Innsbruck, Austria)
  15. Staudt, Thomas (Georg-August University Göttingen, Germany)
  16. Zangerl, Gerhard (University of Innsbruck, Austria)

 

Location

The Workshop "Deep Learning in Imaging Sciences" is taking place at "Hotel aDLERS". For Informations of how to get there, please see the maps / descriptions below.

 


Travel Information:

  • Innsbruck Airport:
    A taxi from the airport to the hotel costs about 20€ Euros. Alternativly, you can take the bus F leaving in front of the airport. Step off at the bus stop "Innsbruck Main Station / Innsbruck Hauptbahnhof". From there it's a short 5min walk to the hotel.
  • Austrian Railway:
    Leave the Main Station and take a turn to the right. The hotel is just a 5min walk from there.