Detail

Keywords

Artificial Intelligence; Clinical Medicine; Clinical Protocols; Clinical Trial; Diabetes Complications; Diabetes Mellitus; Diabetic Retinopathy; Diagnostic Imaging; Eye; Eye Diseases; Eye Manifestations; Imaging, Three-Dimensional; Multimodal Imaging; Optical Imaging; Retina; Tomography, Optical Coherence

Research group(s)

• Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA)
  Research Area: Since 2013 the interdisciplinary OPTIMA group is pioneering in the introduction of artificial intelligence into ophthalmology.
  Members:
  Sebastian M. Waldstein
  Bianca S. Gerendas
  Hrvoje Bogunović
  Philipp Seeböck
• Vienna Reading Center
  Research Area: Our mission is to enhance progress in the scientific understanding of diseases and treatment through efficient and reliable analysis of ophthalmic images in clinical studies.
  Members:
  Felix Goldbach
  Bianca S. Gerendas
  Philipp Seeböck

Research interests

• Interdisciplinary Medical Image Analysis Methods
• Computational Ophthalmic Image Analysis
• Prevention strategies for retinal diseases
• Diabetic Retinopathy
• Retinal Imaging and Innovative Image Analysis
• Translational Ophthalmic Research
• Retinal structure-function correlation
• Large Scale Data Analysis

Grants

• CHARMED (2014)
  Source of Funding: WWTF (Vienna Science and Technology Fund), Cooperation with University of Vienna, PI at MedUni
  Principal Investigator
• Christian Doppler Laboratory for Ophthalmic Image Analysis (Member) (2013)
  Source of Funding: CDG (Christian Doppler Research Association), Ophthalmic Image Analysis
  Coordinator of the collaborative project

Selected publications

1. Gerendas BS, Waldstein SM, Simader C, Deak G, Hajnajeeb B, Zhang L, Bogunovic H, Abramoff MD, Kundi M, Sonka M, Schmidt-Erfurth U, 2014. Three-Dimensional Automated Choroidal Volume Assessment on Standard Spectral-Domain Optical Coherence Tomography and Correlation With the Level of Diabetic Macular Edema. American Journal of Ophthalmology, 158(5), pp.1039-1048.e1. Available at: http://dx.doi.org/10.1016/j.ajo.2014.08.001.
2. Schmidt-Erfurth U, Sadeghipour A, Gerendas BS, Waldstein SM, Bogunović H, 2018. Artificial intelligence in retina. Progress in Retinal and Eye Research, 67, pp.1-29. Available at: http://dx.doi.org/10.1016/j.preteyeres.2018.07.004.
3. Breger A, Ehler M, Bogunovic H, Waldstein SM, Philip AM, Schmidt-Erfurth U, Gerendas BS, 2017. Supervised learning and dimension reduction techniques for quantification of retinal fluid in optical coherence tomography images. Eye, 31(8), pp.1212-1220. Available at: http://dx.doi.org/10.1038/eye.2017.61.
4. Gerendas BS, Prager S, Deak G, Simader C, Lammer J, Waldstein SM, Guerin T, Kundi M, Schmidt-Erfurth UM, 2017. Predictive imaging biomarkers relevant for functional and anatomical outcomes during ranibizumab therapy of diabetic macular oedema. British Journal of Ophthalmology, 102(2), pp.195-203. Available at: http://dx.doi.org/10.1136/bjophthalmol-2017-310483.
5. Gerendas BS, Bogunovic H, Sadeghipour A, Schlegl T, Langs G, Waldstein SM, Schmidt-Erfurth U, 2017. Computational image analysis for prognosis determination in DME. Vision Research, 139, pp.204-210. Available at: http://dx.doi.org/10.1016/j.visres.2017.03.008.