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David Iommi
PhD David Iommi, Dott. Dott.mag.

Department of Radiation Oncology
Position: Research Associate (Postdoc)

Further Information


Image Processing, Computer-Assisted; Image-Guided Biopsy; Radiographic Image Interpretation, Computer-Assisted; Surgical Procedures, Minimally Invasive

Research group(s)

Research interests

  • Computer vision and image processing
  • Artificial intelligence for fully-automatic medical imaging segmentation, classification and registration
  • Deep Learning

Selected publications

  1. Shiyam Sundar, L.K. et al. (2020) ‘Conditional Generative Adversarial Networks Aided Motion Correction of Dynamic 18F-FDG PET Brain Studies’, Journal of Nuclear Medicine, 62(6), pp. 871–879. Available at:
  2. Iommi, D. et al. (2021) ‘3D ultrasound guided navigation system with hybrid image fusion’, Scientific Reports, 11(1). Available at:
  3. Iommi, D., Hummel, J. and Figl, M.L. (2020) ‘Evaluation of 3D ultrasound for image guidance’, PLOS ONE. Edited by M.C. McAlpine, 15(3), p. e0229441. Available at: