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Hrvoje Bogunović
Assist.Prof. Dr. Hrvoje Bogunović

Center for Medical Data Science (Institute of Artificial Intelligence)
Position: Assistant Professor

ORCID: 0000-0002-9168-0894

Further Information


Artificial Intelligence; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted; Optical Imaging; Retina

Research group(s)

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. Emre, T. et al. (2024) ‘3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs’, IEEE Transactions on Medical Imaging, pp. 1–1. Available at:
  2. Lachinov, D. et al. (2024) ‘Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data’, IEEE Transactions on Medical Imaging, 43(3), pp. 1165–1179. Available at:
  3. Chakravarty, A. et al. (2024) ‘Morph-SSL: Self-Supervision with Longitudinal Morphing for Forecasting AMD Progression from OCT Volumes’, IEEE Transactions on Medical Imaging, pp. 1–1. Available at:
  4. Seeböck, P. et al. (2024) ‘Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection’, Medical Image Analysis, 93, p. 103104. Available at:
  5. Morano, J. et al. (2024) ‘Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks’, IEEE Journal of Biomedical and Health Informatics, 28(4), pp. 2235–2246. Available at: