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Peter Kuess
Mag. Peter Kuess, PhD

Department of Radiation Oncology
Position: Research Associate (Postdoc)

ORCID: 0000-0003-2961-1692
T +43 1 40400 21560


Artificial Intelligence; Dose-Response Relationship, Radiation; Heavy Ion Radiotherapy; Image Processing, Computer-Assisted; Radiation Oncology; Radiation Protection; Radiotherapy

Research group(s)

Research interests

  • Proton and ion beam therapy
  • Adaptive radiotherapy 
  • Image-guided particle therapy
  • AI in radiotherapy

Techniques, methods & infrastructure

  • Dosimetry in proton and carbon ion beams
  • Medical image processing
  • Neural networks for radiotherapy
  • multi-parametric MRI

Selected publications

  1. Kuess, P. et al., 2017. Lateral response heterogeneity of Bragg peak ionization chambers for narrow-beam photon and proton dosimetry. Physics in Medicine & Biology, 62(24), pp.9189–9206. Available at:
  2. Khachonkham, S. et al., 2018. Characteristic of EBT-XD and EBT3 radiochromic film dosimetry for photon and proton beams. Physics in Medicine & Biology, 63(6), p.065007. Available at:
  3. Kuess, P. et al., 2017. Association between pathology and texture features of multi parametric MRI of the prostate. Physics in Medicine & Biology, 62(19), pp.7833–7854. Available at:
  4. Georg, D. et al., 2014. Dosimetric Considerations to Determine the Optimal Technique for Localized Prostate Cancer Among External Photon, Proton, or Carbon-Ion Therapy and High-Dose-Rate or Low-Dose-Rate Brachytherapy. International Journal of Radiation Oncology*Biology*Physics, 88(3), pp.715–722. Available at:
  5. Fetty, L. et al., 2020. Investigating conditional GAN performance with different generator architectures, an ensemble model, and different MR scanners for MR-sCT conversion. Physics in Medicine & Biology. Available at: