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Dipl.-Ing. David Haberl

Department of Biomedical Imaging and Image-guided Therapy (Division of Nuclear Medicine)
Position: PHD Student

ORCID: 0000-0003-2050-097X


Artificial Intelligence; Biomedical Research; Molecular Imaging; Monte Carlo Method; Pattern Recognition, Automated; Positron-Emission Tomography

Research group(s)

Research interests

Exploiting molecular imaging data to capture potential marker candidates for improved diagnosis and treatment stratification.

Techniques, methods & infrastructure

  • Machine Learning
  • Computer Vision
  • Medical Image Analysis
  • Monte Carlo Simulation (Geant4, GATE)

Selected publications

  1. Spielvogel, Haberl et al. (2024) ‘Diagnosis and prognosis of abnormal cardiac scintigraphy uptake suggestive of cardiac amyloidosis using artificial intelligence: a retrospective, international, multicentre, cross-tracer development and validation study’, The Lancet Digital Health, 6(4), pp. e251–e260. Available at:
  2. Haberl, D. et al. (2024) ‘Multicenter PET image harmonization using generative adversarial networks’, European Journal of Nuclear Medicine and Molecular Imaging. Available at: