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Clemens P. Spielvogel
Clemens P. Spielvogel, PhDPostdoctoral Research Scientist | Medical Data Scientist

Department of Biomedical Imaging and Image-guided Therapy (Division of Nuclear Medicine)
Position: Research Associate (Postdoc)

ORCID: 0000-0002-4409-8324
T +43 1 +43 1 40400 72350


Amyloidosis; Artificial Intelligence; Automatic Data Processing; Computational Biology; Data Mining; Decision Making, Computer-Assisted; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted; Medical Informatics; Neural Networks (Computer); Nuclear Medicine; Oncology; Pattern Recognition, Automated

Research group(s)

Research interests

Discovery, development, and clinical assessment of novel biomarkers and clinical decision support systems.

Focus areas include nuclear medicine, oncological, and cardiovascular diseases.

Techniques, methods & infrastructure

  • Vision-based Deep Learning
  • Traditional Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Image Segmentation
  • Scientific Software Development
  • Quantitative Imaging Markers
  • Imaging / Non-Imaging Data Integration


Selected publications

  1. Spielvogel, C.P. et al. (2022) ‘Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer’, European Journal of Nuclear Medicine and Molecular Imaging. Available at:
  2. Krajnc, D. et al. (2022) ‘Automated data preparation for in vivo tumor characterization with machine learning’, Frontiers in Oncology, 12. Available at:
  3. Papp, L. et al. (2023) ‘DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters’, Neural Networks, 167, pp. 517–532. Available at:
  4. Krajnc, D. et al. (2021) ‘Breast Tumor Characterization Using [18F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics’, Cancers, 13(6), p. 1249. Available at:
  5. Papp, L. et al. (2021) ‘Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI’, European Journal of Nuclear Medicine and Molecular Imaging, 48(6), pp. 1795–1805. Available at: