Search Results - "Asfaw, Daniel S"

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  1. 1

    Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review by Bernal, Jose, Kushibar, Kaisar, Asfaw, Daniel S., Valverde, Sergi, Oliver, Arnau, Martí, Robert, Lladó, Xavier

    Published in Artificial intelligence in medicine (01-04-2019)
    “…•The use of convolutional neural networks (CNN) has grown in brain image analysis.•We review the deep CNNs applied to brain lesions, tissue and structure…”
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    Journal Article
  2. 2

    Using eye movements to detect visual field loss: a pragmatic assessment using simulated scotoma by Asfaw, Daniel S., Jones, Pete R., Edwards, Laura A., Smith, Nicholas D., Crabb, David P.

    Published in Scientific reports (17-06-2020)
    “…Glaucoma is a leading cause of irreversible sight-loss and has been shown to affect natural eye-movements. These changes may provide a cheap and easy-to-obtain…”
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    Journal Article
  3. 3

    Acceptability of a home-based visual field test (Eyecatcher) for glaucoma home monitoring: a qualitative study of patients’ views and experiences by Jones, Lee, Callaghan, Tamsin, Campbell, Peter, Jones, Pete R, Taylor, Deanna J, Asfaw, Daniel S, Edgar, David F, Crabb, David P

    Published in BMJ open (05-04-2021)
    “…ObjectivesTo explore the acceptability of home visual field (VF) testing using Eyecatcher among people with glaucoma participating in a 6-month home monitoring…”
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    Journal Article
  4. 4

    Data on eye movements of glaucoma patients with asymmetrical visual field loss during free viewing by Reddingius, Peter, Asfaw, Daniel S., Mönter, Vera M., Smith, Nicholas D., Jones, Pete R., Crabb, David P.

    Published in Data in brief (01-06-2023)
    “…This paper describes data from Asfaw at al. [1], which examined the eye movements of glaucoma patients (n=15) with pronounced asymmetrical vision loss (visual…”
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    Journal Article
  5. 5

    Data on eye movements in people with glaucoma and peers with normal vision by Asfaw, Daniel S., Jones, Pete R., Smith, Nicholas D., Crabb, David P.

    Published in Data in brief (01-08-2018)
    “…Eye movements of glaucoma patients have been shown to differ from age-similar control groups when performing everyday tasks, such as reading (Burton et al.,…”
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    Journal Article
  6. 6

    Glaucoma Home Monitoring Using a Tablet-Based Visual Field Test (Eyecatcher): An Assessment of Accuracy and Adherence Over 6 Months by Jones, Pete R., Campbell, Peter, Callaghan, Tamsin, Jones, Lee, Asfaw, Daniel S., Edgar, David F., Crabb, David P.

    Published in American journal of ophthalmology (01-03-2021)
    “…To assess accuracy and adherence of visual field (VF) home monitoring in a pilot sample of patients with glaucoma. Prospective longitudinal feasibility and…”
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    Journal Article
  7. 7

    Does Glaucoma Alter Eye Movements When Viewing Images of Natural Scenes? A Between-Eye Study by Asfaw, Daniel S, Jones, Pete R, Mönter, Vera M, Smith, Nicholas D, Crabb, David P

    “…To investigate whether glaucoma produces measurable changes in eye movements. Fifteen glaucoma patients with asymmetric vision loss (difference in mean…”
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    Journal Article
  8. 8

    The Human Touch: Using a Webcam to Autonomously Monitor Compliance During Visual Field Assessments by Jones, Pete R, Demaria, Giorgia, Tigchelaar, Iris, Asfaw, Daniel S, Edgar, David F, Campbell, Peter, Callaghan, Tamsin, Crabb, David P

    Published in Translational vision science & technology (01-07-2020)
    “…To explore the feasibility of using various easy-to-obtain biomarkers to monitor non-compliance (measurement error) during visual field assessments. Forty-two…”
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    Journal Article
  9. 9

    Analysis of Natural Eye Movements to Assess Visual Field Loss in Glaucoma by Asfaw, Daniel S

    Published 01-01-2020
    “…Diagnosis and monitoring of glaucoma, an age-related eye conditions that can cause irreversible loss of vision, relies on assessment of the visual field (VF)…”
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    Dissertation
  10. 10

    Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review by Bernal, Jose, Kushibar, Kaisar, Asfaw, Daniel S, Valverde, Sergi, Oliver, Arnau, Martí, Robert, Lladó, Xavier

    Published 11-06-2018
    “…In recent years, deep convolutional neural networks (CNNs) have shown record-shattering performance in a variety of computer vision problems, such as visual…”
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    Journal Article