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Sebastian M. Waldstein
Priv.-Doz. Sebastian M. Waldstein, MD, PhDAssociate Director, CDL OPTIMA

Department of Ophthalmology and Optometry

ORCID: 0000-0003-2899-6279
T +43 1 40400 73419

Further Information


Diabetic Retinopathy; Diagnostic Imaging; Macular Degeneration; Ophthalmology; Optical Imaging; Retina; Retinal Vein Occlusion; Vascular Endothelial Growth Factors; Vitreous Body

Research group(s)

Research interests

  • Computational analysis of large-scale ophthalmic imaging data
  • Medical image analysis
  • Machine learning, Artificial intelligence
  • Age-related macular degeneration
  • Optical coherence tomography
  • Clinical trial design

Techniques, methods & infrastructure

  • Databases and web-applications for management of imaging data in large-scale clinical trials
  • Automated analysis of retinal optical coherence tomography data
  • Population modelling of ophthalmic imaging data
  • High-performance computing infrastructure

Selected publications

  1. Waldstein, S.M. et al., 2016. Predictive Value of Retinal Morphology for Visual Acuity Outcomes of Different Ranibizumab Treatment Regimens for Neovascular AMD. Ophthalmology, 123(1), pp.60-69. Available at:
  2. Schmidt-Erfurth, U. & Waldstein, S.M., 2015. A paradigm shift in imaging biomarkers in neovascular age-related macular degeneration. Progress in Retinal and Eye Research. Available at:
  3. 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:
  4. Mayr-Sponer, U. et al., 2013. Influence of the Vitreomacular Interface on Outcomes of Ranibizumab Therapy in Neovascular Age-related Macular Degeneration. Ophthalmology, 120(12), pp.2620-2629. Available at:
  5. Waldstein, S.M. et al., 2017. Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion using machine learning. Scientific Reports, 7(1). Available at: