Hrvoje Bogunovic, a computer scientist and expert in machine learning analysis of medical imaging data, has been selected to become Tenure-track Assistant Professor (§99.5) for Medical Image Computing. He starts his new role at the Institute of Artificial Intelligence, within the Center for Medical Data Science at the Medical University of Vienna.
Hrvoje Bogunovic and his team are advancing the state-of-the-art in computational image analysis, based on artificial intelligence (AI) and machine learning (ML) for automated analysis and interpretation of medical images. A special research focus is on the analysis of optical coherence tomography (OCT) scans, and on predicting disease progression from longitudinal imaging data. This work aims to establish objective, efficient, and trustworthy AI-based systems for clinical decision support and to develop AI-driven methods for large data analysis to support clinical research.
Hrvoje Bogunovic studied computer science at the University of Zagreb (Croatia) and completed his PhD in medical image analysis under the supervision of Alejandro Frangi at Pompeu Fabra University (Barcelona, Spain). He subsequently joined the University of Iowa (Iowa City, US) as a postdoc with Milan Sonka, where he specialized in AI applications to ophthalmic image analysis and OCT data of the eye. In 2015, he joined the Medical University of Vienna in the group of Ursula Schmidt-Erfurth, where he advanced AI methods development for ophthalmology and became Ap.Prof. in 2021. He received grant funding from the Austrian Science Fund (FWF), and since 2021 he has been the director of the Christian Doppler Lab for Artificial Intelligence in Retina.