Computational Imaging Research

• Clinical Research
• Machine Learning Research
  • Hrvoje Bogunovic
  • Teresa Finisterra Araújo
  • Guilherme Moirera Aresta
  • Arunava Chakravarty
  • Taha Emre
  • Meltem Esengönül
  • Botond Fazekas
  • Hana Jebril
  • Dmitrii Lachinov
  • Marzieh Oghbaie
  • Antoine Rivail
  • José Morano Sánchez
  • Emese Sükei
  • Markus Unterdechler
• Software Development
• Administrative
• Reading Team
• Former Team Members

Hrvoje Bogunović, PhD

Assistant Professor for Medical Image Computing
Director of Christian Doppler Lab for Artificial Intelligence in Retina
Associate Director and a Technical Lead of Laboratory for Ophthalmic Image Analysis
Medical University of Vienna
Email: hrvoje.bogunovic(at)meduniwien.ac.at
Phone: +43 1 40400 73419
Office: AKH level 08, room 08.i9.17

Curriculum Vitae: CV
[Google Scholar]

Bio:

Hrvoje Bogunovic is a Director of Christian Doppler Lab for Artificial Intelligence in Retina (CD-AIR) and an Associate Director of the Lab for Ophthalmic Image Analysis (OPTIMA) at the Medical University of Vienna. His research group combines the breakthroughs in Artificial Intelligence (AI) with cutting edge retinal imaging in order to advance the state of the art in automated retinal image analysis and personalized medicine in ophthalmology. He obtained his BSc and MSc in Computer Science from the University of Zagreb, Croatia. He obtained his PhD with honors in 2012 from the University Pompeu Fabra, Barcelona, Spain. He then did a postdoc at the University of Iowa, US, where he specialized in medical image analysis for ophthalmology. He moved to Medical University of Vienna, Austria in 2015 to join OPTIMA as a lead of computational imaging methods and machine learning. As of 2021 he is a Faculty at the Medical University of Vienna.

His general research interests are in medical image analysis, computer vision and machine learning with applications in healthcare. He is particularly interested in machine learning for predicting disease progression and in knowledge discovery from large clinical longitudinal imaging datasets.

Research Interests:
– Medical Image Computing
– Computational Image Analysis
– Machine Learning/Artificial Intelligence for Healthcare
– Retinal Imaging

Preprints of Selected Older Publications

Journal articles
H. Bogunovic, J. M. Pozo, R. Cárdenes, L. San Román, and A. F. Frangi: Anatomical Labeling of the Circle of Willis using Maximum A Posteriori Probability Estimation. IEEE Transactions on Medical Imaging, vol. 32 (9), pp. 1587-1599, 2013. [DOI] [PDF]

H. Bogunovic, J. M. Pozo, R. Cárdenes, M. C. Villa-Uriol, R. Blanc, M. Piotin, and A. F. Frangi: Automated Landmarking and Geometric Characterization of the Carotid Siphon. Medical Image Analysis, vol. 16 (4), pp. 889-903, 2012. [DOI] [PDF]

H. Bogunovic, J. M. Pozo, M. C. Villa-Uriol, C. B. L. M. Majoie, R. van den Berg, H. A. F. Gratama van Andel, J. M. Macho, J. Blasco, L. San Román, and A. F. Frangi: Automated Segmentation of Cerebral Vasculature with Aneurysms in 3DRA and TOF-MRA using Geodesic Active Regions: An Evaluation Study. Medical Physics, vol. 38 (1), pp. 210–222, 2011. [DOI] [PDF]

Conference articles
H. Bogunovic, J. M. Pozo, R. Cárdenes, and A. F. Frangi: Anatomical labeling of the anterior circulation of the Circle of Willis using maximum a posteriori classification. In 14th International Conference on Medical Image Computing and Computer Assisted Intervention – MICCAI, LNCS vol. 6893, pp. 330-337, Toronto, Canada, Sep. 18-22, 2011. [DOI] [PDF]

H. Bogunovic, J. M. Pozo, R. Cárdenes, and A. F. Frangi: Automatic Identification of Internal Carotid Artery from 3DRA Images. In Proceedings of 32nd International Conference of the IEEE Engineering in Medicine and Biology Society – EMBC, pp. 5343–5346, Buenos Aires, Argentina, Aug. 31-Sep. 4, 2010. [DOI] [PDF]

K. Krissian, H. Bogunovic, J. M. Pozo, M. C. Villa-Uriol and A. F. Frangi: Minimally Interactive Knowledge-based Coronary Tracking in CTA using a Minimal Cost Path. In The MIDAS Journal – Grand Challenge Coronary Artery Tracking (MICCAI 2008 Workshop),  New York, USA, Sep. 9, 2008. [HDL] [PDF]

H. Bogunovic, A. Radaelli, M. De Craene, D. Delgado and A. F. Frangi: Image Intensity Standardization in 3D Rotational Angiography and its Application to Vascular Segmentation. In Proceedings of SPIE Medical Imaging 2008: Image Processing, Article 691419, San Diego, USA, Feb. 16-21, 2008. [DOI] [PDF]

H. Bogunovic and S. Loncaric: Blood Flow and Velocity Estimation Based on Vessel Transit Time by Combining 2D and 3D X-Ray Angiography. In 9th International Conference on Medical Image Computing and Computer Assisted Intervention – MICCAI, LNCS vol. 4191, pp. 117-124, Copenhagen, Denmark, Oct. 01-06, 2006. [DOI] [PDF]

H. Bogunovic and S. Loncaric: Estimating Perfusion Using X-Ray Angiography. In Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis – ISPA, pp 147-150, Zagreb, Croatia, Sep. 15-17, 2005. [DOI] [PDF]

H. Bogunovic and S. Loncaric: Denoising of Time-Density Data in Digital Subtraction Angiography. In 14th Scandinavian Conference on Image Analysis – SCIA, LNCS vol. 3540, pp. 1157-1166, Joensuu, Finland, June 19-22, 2005. [DOI] [PDF]

H. Bogunovic and S. Loncaric: Optical Flow Estimation of the Heart Motion using Line Process. In Proceedings of the 4th IASTED International Conference on Biomedical Engineering – BioMED, pp. 296-299, Innsbruck, Austria, Feb. 16-18, 2005. [PDF]

PhD Thesis
H. Bogunovic: Geometric Modeling and Characterization of the Circle of Willis. Universitat Pompeu Fabra, Barcelona, Spain, 2012. [PDF]

MSc Thesis
H. Bogunovic: Blood Flow Analysis from Angiogram Image Sequence. University of Zagreb, Croatia, 2005. [PDF]