Software

  1. REMPE: Registration through Eye Modelling and Pose Estimation
    Novel solution to the problem of retinal image registration. We solve it via simultaneously estimating the relative pose of the cameras that acquired the images as well as the shape and the pose of the eye. The method utilizes an ellipsoidal model for the eye, and the pose of the cameras is estimated utilizing RANSAC, followed by a variant of Particle Swarm Optimization (PSO).
    URL: http://www.ics.forth.gr/cvrl/rempe/

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Datasets

  1. FIRE: Fundus Image Registration Dataset
    The dataset consists of 129 retinal images forming 134 image pairs. These image pairs are split into 3 different categories depending on their characteristics. The images were acquired with a Nidek AFC-210 fundus camera, which acquires images with a resolution of 2912x2912 pixels and a FOV of 45° both in the x and y dimensions. Images were acquired at the Papageorgiou Hospital, Aristotle University of Thessaloniki, Thessaloniki from 39 patients.
    URL: http://www.ics.forth.gr/cvrl/fire/

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Journal Publications

  1. FIRE: Fundus Image Registration Dataset
    C. Hernandez-Matas, X. Zabulis, A. Triantafyllou, P. Anyfanti, S. Douma, A.A. Argyros
    Journal for Modeling in Ophthalmology, vol. 1, no. 4, pp. 16-28, Jul. 2017.
  2. Retinal Image Registration under the Assumption of a Spherical Eye
    C. Hernandez-Matas, X. Zabulis, A. Triantafyllou, P. Anyfanti, A.A. Argyros
    Computerized Medical Imaging and Graphics, Volume 55, January 2017, Pages 95-105
    DOI: 10.1016/j.compmedimag.2016.06.006
  3. In Vivo Analysis of the Time and Spatial Activation Pattern of Microglia in the Retina Following Laser-Induced Choroidal Neovascularization
    S. Crespo-Garcia, N. Reichhart, C. Hernandez-Matas, X. Zabulis, N. Kociok, C. Brockmann, A.M. Joussen, O. Strauß
    Experimental Eye Research, Volume 139, October 2015, Pages 13-21
    DOI: 10.1016/j.exer.2015.07.012

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Conference Publications

  1. An Experimental Evaluation of the Accuracy of Keypoints-based Retinal Image Registration
    C. Hernandez-Matas, X. Zabulis, A.A. Argyros
    39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 377-381, Jeju Island, July 11-15, 2017
  2. Retinal Image Registration Through Simultaneous Camera Pose and Eye Shape Estimation
    C. Hernandez-Matas, X. Zabulis, A.A. Argyros
    38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3247-3251, Orlando, August 16-20, 2016
    DOI: 10.1109/EMBC.2016.7591421
  3. Retinal Image Registration Based on Keypoint Correspondences, Spherical Eye Modeling and Camera Pose Estimation
    C. Hernandez-Matas, X. Zabulis, A.A. Argyros
    37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5650-5654, Milan, August 25-29, 2015
    DOI: 10.1109/EMBC.2015.7319674
  4. Super Resolution for Fundoscopy Based on 3D Image Registration
    C. Hernandez-Matas, X. Zabulis
    36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6332-6338, Chicago, August 26-30, 2014
    DOI: 10.1109/EMBC.2014.6945077

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Theses

  1. Retinal Image Registration through 3D Eye Modelling and Pose Estimation
    C. Hernandez-Matas
    PhD thesis, University of Crete (Greece), 2017
  2. Active 3D Scene Segmentation using Kinect
    C. Hernandez-Matas
    MSc thesis, Royal Institute of Technology (Sweden), 2011
  3. Image Theory Applied to Virtual Microphones
    C. Hernandez-Matas, D. Gomez Olmedilla
    BSc thesis, Blekinge Institute of Technology (Sweden) / Technical University of Madrid (Spain), 2008

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Extended Abstracts

  1. Image Processing Allows Reliable In Vivo Detection and Quantification of Retinal Microglia Following Laser-Induced Choroidal Neovascularization
    S. Crespo-Garcia, N. Reichart, C. Hernandez-Matas, X. Zabulis, N. Kociok, A.M. Joussen, O. Strauss
    Investigative Ophthalmology & Visual Science, vol. 56, issue 7, pp. 425, 2015

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