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Stefan Sacu
Assoc. Prof. Priv. Doz. Dr. Stefan SacuInterim Head of the Department of Ophthalmology and Optometry

Department of Ophthalmology and Optometry
Position: Associate Professor

ORCID: 0000-0002-4920-2231
T +43 1 40400 79300
stefan.sacu@meduniwien.ac.at

Further Information

Keywords

Artificial Intelligence; Macular Degeneration; Ophthalmology

Selected publications

  1. Coulibaly, L.M. et al. (2022) ‘Personalized treatment supported by automated quantitative fluid analysis in active neovascular age-related macular degeneration (nAMD)—a phase III, prospective, multicentre, randomized study: design and methods’, Eye, 37(7), pp. 1464–1469. Available at: https://doi.org/10.1038/s41433-022-02154-8.
  2. Schranz, M. et al. (2022) ‘Correlation of vascular and fluid‐related parameters in neovascular age‐related macular degeneration using deep learning’, Acta Ophthalmologica, 101(1). Available at: https://doi.org/10.1111/aos.15219.
  3. Gerendas, B.S. et al. (2022) ‘VALIDATION OF AN AUTOMATED FLUID ALGORITHM ON REAL-WORLD DATA OF NEOVASCULAR AGE-RELATED MACULAR DEGENERATION OVER FIVE YEARS’, Retina, 42(9), pp. 1673–1682. Available at: https://doi.org/10.1097/iae.0000000000003557.
  4. Michl, M. et al. (2025) ‘Comparison of <scp>AI</scp>‐based retinal fluid monitoring in neovascular age‐related macular degeneration with manual assessment by different eye care professionals under optimized conditions’, Acta Ophthalmologica [Preprint]. Available at: https://doi.org/10.1111/aos.17458.
  5. Michl, M. et al. (2025) ‘Comparison of <scp>AI</scp>‐based retinal fluid monitoring in neovascular age‐related macular degeneration with manual assessment by different eye care professionals under optimized conditions’, Acta Ophthalmologica [Preprint]. Available at: https://doi.org/10.1111/aos.17458.