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Bernal, Jose, Kushibar, Kaisar, Asfaw, Daniel S., Valverde, Sergi, Oliver, Arnau, Martí, Robert, Lladó, Xavier
Published in Artificial intelligence in medicine (01.04.2019)
Published in Artificial intelligence in medicine (01.04.2019)
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Using eye movements to detect visual field loss: a pragmatic assessment using simulated scotoma
Asfaw, Daniel S, Jones, Pete R, Edwards, Laura A, Smith, Nicholas D, Crabb, David P
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Published in Scientific reports (17.06.2020)
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Acceptability of a home-based visual field test (Eyecatcher) for glaucoma home monitoring: a qualitative study of patients’ views and experiences
Jones, Lee, Callaghan, Tamsin, Campbell, Peter, Jones, Pete R, Taylor, Deanna J, Asfaw, Daniel S, Edgar, David F, Crabb, David P
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Published in BMJ open (05.04.2021)
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Data on eye movements in people with glaucoma and peers with normal vision
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Published in Data in brief (01.08.2018)
Published in Data in brief (01.08.2018)
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Glaucoma Home Monitoring Using a Tablet-Based Visual Field Test (Eyecatcher): An Assessment of Accuracy and Adherence Over 6 Months
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Published in American journal of ophthalmology (01.03.2021)
Published in American journal of ophthalmology (01.03.2021)
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The Human Touch: Using a Webcam to Autonomously Monitor Compliance During Visual Field Assessments
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)
Published in Translational vision science & technology (01.07.2020)
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Journal Article
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
Bernal, Jose, Kaisar Kushibar, Asfaw, Daniel S, Valverde, Sergi, Oliver, Arnau, Martí, Robert, Lladó, Xavier
Published in arXiv.org (11.06.2018)
Published in arXiv.org (11.06.2018)
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