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Hrvoje Bogunovic
Hrvoje Bogunovic, PhD

Department of Ophthalmology and Optometry
Position: Research Associate (Postdoc)

ORCID: 0000-0002-9168-0894

Further Information


Artificial Intelligence; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted

Research group(s)

  • Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA)

Research interests

My main general research interests are in medical image computing and machine learning with applications in healthcare.
I am particularly interested in developing machine learning methodologies for predicting disease progression and in knowledge discovery from large clinical longitudinal imaging datasets.

Selected publications

  1. Schmidt-Erfurth, U. et al., 2018. Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence. Investigative Opthalmology & Visual Science, 59(8), p.3199. Available at:
  2. Bogunovic, H. et al., 2017. Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach. Investigative Opthalmology & Visual Science, 58(7), p.3240. Available at:
  3. Bogunovic, H. et al., 2017. Machine Learning of the Progression of Intermediate Age-Related Macular Degeneration Based on OCT Imaging. Investigative Opthalmology & Visual Science, 58(6), p.BIO141. Available at:
  4. Bogunovi , H. et al., 2014. Relationships of Retinal Structure and Humphrey 24-2 Visual Field Thresholds in Patients With Glaucoma. Investigative Ophthalmology & Visual Science, 56(1), pp.259-271. Available at:
  5. Montuoro, A. et al., 2017. Joint retinal layer and fluid segmentation in OCT scans of eyes with severe macular edema using unsupervised representation and auto-context. Biomedical Optics Express, 8(3), p.1874. Available at: