Donders Institute for Brain, Cognition and Behaviour
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Theme 2: Perception, Action and Control

Retinal Image Research

The research of dr. C.I. Sánchez’s group focuses on developing automatic solutions for medical image interpretation, particularly retinal images, with the aim of bringing technology to clinical practice in order to provide better health care. Her goal is to make healthcare more efficient and affordable by increasing automation of diagnostic and therapeutic procedures and freeing manpower for those areas in patient care in which the "human touch" is most needed. Clara Sánchez  received her PhD degree in 2008, cum laude, with a work on automatic analysis of fundus images for cost-efficient diabetic retinopathy screening. From 2010 to 2013, she was tenured at the Diagnostic Image Analysis Group (DIAG) in the Radboud University Medical Center ( Since September 2013, she leads the retina image research group at DIAG and in July 2016 she became associate professor in advanced machine learning for medical imaging. The retina image research group focuses on the development of computerized techniques for the analysis and interpretation of retinal images in order to 1) provide an automatic eye diagnosis for cost-efficient screening programs and 2) extract quantitative image biomarkers that can help in the diagnosis and clinical research of eye diseases. Other interests are automatic analysis of chest radiographs for the diagnosis of tuberculosis and pattern recognition and machine learning for medical images.

Name: Clarisa Sánchez Guittierez
Telephone: 024-3616708
Visiting address:

Radiology, Route 766 
Geert Grooteplein Zuid 10
6525 GA Nijmegen
The Netherlands

Postal address:
Key grants and prizes
  • ZonMW
    NWO EW Meervoud
    STW Perspectief
    Horizon 2020 IMI2

Key publications

  1. F.G. Venhuizen, B. van Ginneken, B. Liefers, Schreur, M.J. van Grinsven, S. Fauser, C.B. Hoyng, T. Theelen and C.I. Sánchez. "Robust Total Retina Thickness Segmentation in Optical Coherence Tomography Images using Convolutional Neural Networks", Biomedical Optics Express 2017. Abstract/PDFDOI
  2. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, C. Sanchez, G. Litjens, F.-E. de Leeuw, B. van Ginneken, E. Marchiori and B. Platel. "Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities", Nature Scientific Reports.

  3. Hogeweg, C.I. Sánchez, P. Maduskar, R.H.H.M. Philipsen and B. van Ginneken. "Fast and effective quantification of symmetry in medical images for pathology detection: application to chest radiography", Medical Physics. AbstractDOIPMID 28134985

  4. F.G. Venhuizen, B. van Ginneken, F. van Asten, M.J. van Grinsven, S. Fauser, C.B. Hoyng, T. Theelen and C.I. Sánchez. "Automated Staging of Age-Related Macular Degeneration Using Optical Coherence Tomography", Investigative Ophthalmology and Visual Science 2017;58(4):2318-2328. Abstract/PDFDOIPMID 28437528

  5. Manniesing, M.T. Oei, L.J. Oostveen, J. Melendez, E.J. Smit, B. Platel, C.I. Sánchez, F.J. Meijer, M. Prokop and B. van Ginneken. "White Matter and Gray Matter Segmentation in 4D Computed Tomography", Nature Scientific Reports 2017;7(119). Abstract/PDFDOIPMID 28273920


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Research Theme 2:
Perception, Action and Decision-making

Research Group
Retinal Image Research

Principal Investigator
Dr. Clarisa Sánchez Guittierez

Bart Liefers
Freek Venhuizen