Instituto de Oftalmología Aplicada de Valladolid-ko ikertzaileekin lankidetzan egindako argitalpenak (25)

2023

  1. A dynamical method to objectively assess infantile nystagmus based on eye tracking. A pilot study

    Journal of Optometry, Vol. 16, Núm. 3, pp. 221-228

  2. Randomised placebo-controlled clinical trial evaluating the impact of a new visual rehabilitation program on neuroadaptation in patients implanted with trifocal intraocular lenses

    International Ophthalmology, Vol. 43, Núm. 11, pp. 4035-4053

2022

  1. Clinical tool to measure fluorescein patterns in orthokeratology

    PeerJ, Vol. 10

2020

  1. A robust method for the automatic location of the optic disc and the fovea in fundus images

    Computer Methods and Programs in Biomedicine, Vol. 196

  2. Effective fundus image decomposition for the detection of red lesions and hard exudates to aid in the diagnosis of diabetic retinopathy

    Sensors (Switzerland), Vol. 20, Núm. 22, pp. 1-17

2019

  1. Combination of global features for the automatic quality assessment of retinal images

    Entropy, Vol. 21, Núm. 3

  2. Entropy rate superpixel classification for automatic red lesion detection in fundus images

    Entropy, Vol. 21, Núm. 4

2017

  1. mHealth App for iOS to Help in Diagnostic Decision in Ophthalmology to Primary Care Physicians

    Journal of Medical Systems, Vol. 41, Núm. 5

2016

  1. A mobile decision support system for red eye diseases diagnosis: experience with medical students

    Journal of Medical Systems, Vol. 40, Núm. 6

  2. Evaluating the QoE of a mobile DSS for diagnosis of red eye diseases by medical students

    2016 IEEE 18th International Conference on e-Health Networking, Applications and Services, Healthcom 2016

2015

  1. Decision Support Systems and Applications in Ophthalmology: Literature and Commercial Review Focused on Mobile Apps

    Journal of Medical Systems, Vol. 39, Núm. 1

2012

  1. Performance evaluation of a web-based system to exchange electronic health records using queueing model (M/M/1)

    Journal of Medical Systems, Vol. 36, Núm. 2, pp. 915-924

2011

  1. Choosing the most efficient database for a web-based system to store and exchange ophthalmologic health records

    Journal of Medical Systems, Vol. 35, Núm. 6, pp. 1455-1464

2010

  1. Assessment of four neural network based classifiers to automatically detect red lesions in retinal images

    Medical Engineering and Physics, Vol. 32, Núm. 10, pp. 1085-1093

  2. Evaluation of the response time for an ophthalmologic health records system using different XML databases

    Proceedings of the 5th Iberian Conference on Information Systems and Technologies, CISTI 2010

  3. Response time estimation of a web-based electronic health record (EHR) system using queuing model

    International Journal of E-Health and Medical Communications

2009

  1. Detection of hard exudates in retinal images using a radial basis function classifier

    Annals of Biomedical Engineering, Vol. 37, Núm. 7, pp. 1448-1463

  2. Neural network based detection of hard exudates in retinal images

    Computer Methods and Programs in Biomedicine, Vol. 93, Núm. 1, pp. 9-19

  3. Ophthalmologic electronic health records system using Hl7/CDA and dicom-Teleoftalweb

    HEALTHINF 2009 - Proceedings of the 2nd International Conference on Health Informatics

  4. Utility of a radial basis function classifier in the detection of red lesions in retinal images

    IFMBE Proceedings