Publicacións nas que colabora con Manuel Francisco González Penedo (12)

2019

  1. A novel automatic method to estimate visual acuity and analyze the retinal vasculature in retinal vein occlusion using swept source optical coherence tomography angiography

    Journal of Clinical Medicine, Vol. 8, Núm. 10

  2. Automatic segmentation of the foveal avascular zone in ophthalmological OCT-A images

    PLoS ONE, Vol. 14, Núm. 2

  3. Automatic visual acuity estimation by means of computational vascularity biomarkers using oct angiographies

    Sensors (Switzerland), Vol. 19, Núm. 21

2013

  1. Evaluation of SIRIUS retinal vessel width measurement in REVIEW dataset

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  2. Evaluation of SIRIUS retinal vessel width measurement in REVIEW dataset

    Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems

2012

  1. Automatic arteriovenous ratio computation: Emulating the experts

    IFIP Advances in Information and Communication Technology

2010

  1. Sirius: A web-based system for retinal image analysis

    International Journal of Medical Informatics, Vol. 79, Núm. 10, pp. 722-732

2008

  1. Automated three stage red lesions detection in digital color fundus images

    WSEAS Transactions on Computers, Vol. 7, Núm. 4, pp. 207-215

2007

  1. Two stages optic disc segmentation in digital retinal images

    WSEAS Transactions on Information Science and Applications, Vol. 4, Núm. 4, pp. 771-778

2005

  1. Computerized measurement of retinal blood vessel calibre: Description, validation and use to determine the influence of ageing and hypertension

    Journal of Hypertension, Vol. 23, Núm. 4, pp. 843-850

2004

  1. Automatic extraction of the retina AV index

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3212, pp. 132-140

2002

  1. Methodology for the registration of whole SLO sequences

    Proceedings - International Conference on Pattern Recognition, Vol. 16, Núm. 1, pp. 779-783