Bringing the future into focus

Dr. Clarisa Sanchez

Dr. Sánchez's research focuses on developing automatic solutions for medical image interpretation, particularly retinal images, with the aim of bringing technology into clinical practice. She has developed computer-based solutions for automatic screening of eye diseases and she is currently focused on the automatic quantification of retinal biomarkers in multimodal images.


  • Telecommunication Engineering studies in Spain
  • Ph.D. focused on automatic screening of Diabetic Retinopathy, University of Valladolid
  • PostDoc at Image Sciences Institute, UMC Utrecht
  • Since 2013: Tenured assistant professor, Diagnostic Image Analysis Group, Department of Radiology, RadboudUMC, Nijmegen
  • Head of the research group "Retinal image analysis", RadboudUMC, Nijmegen


  • Medical image analysis
  • Automated image quantification
  • Machine learning and pattern recognition


  • Biomarker identification and quantification

Selected publications

  • van Grinsven MJ, Lechanteur YT, van de Ven JP, van Ginneken B, Hoyng CB, Theelen T, Sánchez CI. Automatic drusen quantification and risk assessment of age-related macular degeneration on color fundus images. Invest Ophthalmol Vis Sci 2013; 54(4):3019-3027. Pubmed
  • Sánchez CI, Niemeijer M, Isgum I, Dumitrescu AV, Suttorp-Schulten MSA, Abràmoff MD, van Ginneken B. Contextual computer-aided detection: improving bright lesion detection in retinal images and coronary calcification identification in CT scans. Medical Image Analysis 2012; 16:50-62. Pubmed
  • Sánchez CI, Niemeijer M, Dumitrescu AV, Suttorp-Schulten MSA, Abràmoff MD, van Ginneken B. Evaluation of a computer-aided diagnosis system for diabetic retinopathy screening on public data. Invest Ophthalmol Vis Sci 2011; 52:4866-4871. Pubmed
  • NIemeijer M, van Ginneken B, Cree MJ, Mizutani A, Quellec G, Sánchez CI, Zhang B, Hornero R, Lamard M, Muramatsu C, Wu X, Cazuguel G, You J, Mayo A, Li Q, Hatanaka Y, Cochener B, Roux C, Karray F, Garcia M, Fujita H, Abràmoff MD. Retinopathy online challenge: autumatic detection of microaneurysms in digital color fundus photographs. IEEE Transactions on Medical Imaging 2010; 29:185-195. Pubmed
  • Garcia M, Sánchez CI, López MI, Abásolo D, Hornero R. Neural network based detection of hard exudates in retinal images. Computer Methods and Programs in Biomedicine 2009; 93:9-19. Pubmed
  • Garcia M, Sánchez CI, Poza J, López MI, Hornero R. Detection of hard exudates in retinal images using a radial basis function classifier. Annals of Biomedical Engineering 2009; 37:1448-1463. Pubmed
  • Sánchez CI, Garcia M, Mayo A, López MI, Hornero R. Retinal image analysis based on mixture models to detect hard exudates. Medical Image Analysis 2009; 13:650-658. Pubmed
  • Sánchez CI, Hornero R, López MI, Aboy M, Poza J, Abásolo D. A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis. Medical Engineering and Physis 2008; 30:350-357. Pubmed