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Alessio Montuoro
Alessio Montuoro, MScHead of IT (VRC) and Research Assistant (Optima)

Department of Ophthalmology and Optometry
Position: PHD Student

Further Information


Computing Methodologies; Ophthalmology; Optometry

Research group(s)

Research interests

  • Large Scale Data Analysis
  • Biomedical Image Analysis using Deep Learning
  • Computer Vision and Image Understanding
  • Optical Coherence Tomography

Techniques, methods & infrastructure

Development of Infrastructure for large international multi center clinical trials

  • web applications and databases for collection and administration of trial and imaging data
  • software for reviewing and annotating multimodal ophthalmic imaging data (SD-OCT, color fundus, fluorescein angiography, microperimetry, autofluorescence imaging, multifocal ERG, etc..)
  • software for cross modal image registration and spatial image calibration
  • high performance and high reliability image conversion and processing infrastructure
  • service monitoring, intrusion detection systems and backup services

Selected publications

  1. Montuoro, A. et al., 2015. Rotation invariant eigenvessels and auto-context for retinal vessel detection S. Ourselin & M. A. Styner, eds. Medical Imaging 2015: Image Processing. Available at:
  2. Montuoro, A. et al., 2014. Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry. Lecture Notes in Computer Science, pp.130-137. Available at:
  3. Sayegh, R.G. et al., 2014. A systematic correlation of morphology and function using spectral domain optical coherence tomography and microperimetry in patients with geographic atrophy. British Journal of Ophthalmology, 98(8), pp.1050-1055. Available at:
  4. Gerendas, B.S. et al., 2016. Choroidal Line Scan Measurements in Swept-Source Optical Coherence Tomography as Surrogates for Volumetric Thickness Assessment. American Journal of Ophthalmology, 162, pp.150-158.e1. Available at:
  5. Waldstein, S.M. et al., 2015. Comparison of penetration depth in choroidal imaging using swept source vs spectral domain optical coherence tomography. Eye, 29(3), pp.409-415. Available at: