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Project Description

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
   

Artificial Intelligence in BioMedical Image Analysis (AIBIA)

 

Project Description:

The WISS2025 Research and Transfer Lab on Artificial Intelligence in BioMedical Image Analysis (AIBIA) is devoted to interdisciplinary, AI-oriented research in the area of Life Sciences, in particular with Salzburg based clinical and (bio)medical research groups. The aim is to identify fruitful collaboration fields for joint research in computer vision, initiating high potential collaborations and subsequent scientific publications. The mid-term aim is to establish sustainable collaboration areas and human resources capable of advancing this type of interdisciplinary research in the Salzburg region.

Life Science cooperation partners come from the Salzburg University Hospital (SALK), the Paracelsus Medical University (PMU), and from the Department of Biosciences and Medical Biology at the University of Salzburg (PLUS).

This project is conducted in collaboration with Stefan Wegenkittl and Michael Gadermayr, both from the Department Information Technologies and Digitalisation at the Salzburg University of Applied Sciences.

 
 

Members:

  
 

Timeframe:

  • Apr. 2023 - Mar. 2026
  
 

Publications:

  1. [Schuiki26c ] Quantifying the Impact of Segmentation Inaccuracies on Cell Phenotyping in Imaging Mass Cytometry Johannes Schuiki, Markus Steiner, Heinz Hofbauer, Stephan Drothler, Giulia Pessina, Richard Greil, Nadja Zaborsky, Andreas Uhl In Pattern Recognition. ICPR 2026 International Workshops and Challenges, pp. xx-xx, Lyon, France, Springer Nature Switzerland, August 17 - August 22, 2026, accepted
  2. [Schuiki26a  ] Towards Computational Sub-Diffraction Single Vesicle Detection in Fluorescence Microscopy Johannes Schuiki, Hanwen Zhang, Xin Ding, Anna Dlugosch, Melanie Schürz, Nicole Meisner-Kober, Andreas Uhl In 2026 IEEE 39th International Symposium on Computer-Based Medical Systems (CBMS), pp. xx-xx, Limassol, Cyprus, June 02 - June 05, 2026, accepted
  3. [Wimmer26a  ] Medical image annotations for AI-based wound segmentation - the rocky road to high-quality training data Georg Wimmer, Christof Kauba, Christian Puttinger, Pamina Schlager, Roland Zauner, Carolin Gemeier, Tobias Welponer, Christine Prodinger, Anja Diem, Katharina Ude-Schoder, Martin Laimer, Johann W. Bauer, Andreas Uhl In Bildverarbeitung für die Medizin 2026, pp. 299-306, Informatik Aktuell, Springer Vieweg, Wiesbaden, 2026
  4. [Xin26c ] Helicobacter pylori infection states from Phalloidin-stained immunofluorescence by decoding actin stress fiber signatures Xin Ding, Levente Peter Vajda, Urszula Zarzecka, Melanie Schwarz, Gernot Posselt, Silja Wessler, Andreas Uhl In Medical Image Understanding and Analysis (MIUA2026), pp. xx-xx, Dublin, Ireland, July 20 - July 22, 2026, accepted
  5. [Xin26b ] Deep learning classifies Helicobacter pylori infection states from multi-channel immunofluorescence imagery Xin Ding, Saruchi Wadhwa, Urszula Zarzecka, Melanie Schwarz, Gernot Posselt, Silja Wessler, Andreas Uhl In 2026 IEEE 39th International Symposium on Computer-Based Medical Systems (CBMS), pp. xx-xx, Limassol, Cyprus, June 02 - June 05, 2026, accepted
  6. [Xin26a  ] Towards a Visual Distinction of Benign and Tumorous Wound Surface in Epidermolysis Bullosa Ding Xin, Verena Wally, Christina Guttmann-Gruber, Bernadette Liemberger, Johann Bauer, Andreas Uhl In Bildverarbeitung für die Medizin 2026, pp. 195-202, Informatik Aktuell, Springer Vieweg, Wiesbaden, 2026
  7. [Wimmer25a  ] Microglia cell segmentation using a hand-crafted method capable of handling high noise levels in image data Georg Wimmer, Ibrahim Khan, Lara Bieler, Bruno Benedetti, Sebastien Couillard-Despres, Andreas Uhl In 15th Eurographics Symposium on Visual Computing for Biology and Medicine (VCBM'25)The Eurographics Association, 2025
  8. [Schuiki25b    ] Quantifying Inter-annotator Agreement and Generalist Model Limitations in Imaging Mass Cytometry Single Cell Segmentation Johannes Schuiki, Markus Steiner, Heinz Hofbauer, Stephan Drothler, Giulia Pessina, Richard Greil, Nadja Zaborsky, Andreas Uhl In Sharib Ali, David C. Hogg, Michelle Peckham, editors, Medical Image Understanding and Analysis, pp. 146-159, Leeds, UK, Lecture Notes in Computer Science, 15918, Springer Nature Switzerland, July 15 - July 17, 2025
  9. [Schuiki25a    ] Intrinsic Correspondence of Classification Ground Truth and Image Content on the Example of Endoscopic Images Johannes Schuiki, Andreas Uhl In Bildverarbeitung für die Medizin 2025, pp. 209-214, Regensburg, Germany, Springer Fachmedien Wiesbaden, March 9 - March 11, 2025
 
Multimedia Signal Processing
and Security Lab
Friday, 26-Jun-2026 18:12:22 CEST