City Research Online

Items where Author is "Denniston, A. K."

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Kaçar, S., Coric, D., Ometto, G. ORCID: 0000-0002-0900-4847 (2023). Exploring Vitreous Haze as a Potential Biomarker for Accelerated Glymphatic Outflow and Neurodegeneration in Multiple Sclerosis: A Cross-Sectional Study. Brain Sciences, 14(1), article number 36. doi: 10.3390/brainsci14010036

Courtie, E. F., Gilani, A., Capewell, N. (2023). Reliability of Optical Coherence Tomography Angiography Retinal Blood Flow Analyses. Translational Vision Science & Technology, 12(7), article number 3. doi: 10.1167/tvst.12.7.3

Han, J., Liu, X., Bunce, C. (2022). Teleophthalmology-enabled and artificial intelligence-ready referral pathway for community optometry referrals of retinal disease (HERMES): a Cluster Randomised Superiority Trial with a linked Diagnostic Accuracy Study-HERMES study report 1-study protocol. BMJ Open, 12(2), article number e055845. doi: 10.1136/bmjopen-2021-055845

Ramke, J., Evans, J. R., Habtamu, E. (2022). Grand Challenges in global eye health: a global prioritisation process using Delphi method. The Lancet Healthy Longevity, 3(1), e31-e41. doi: 10.1016/s2666-7568(21)00302-0

Liu, X., Kale, A. U., Ometto, G. (2022). OCT Assisted Quantification of Vitreous Inflammation in Uveitis. Translational Vision Science & Technology, 11(1), article number 13. doi: 10.1167/tvst.11.1.3

Terheyden, J. H., Ometto, G., Montesano, G. (2021). Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements. Scientific Reports, 11(1), article number 3271. doi: 10.1038/s41598-021-82786-0

Pohlmann, D., Terheyden, J. H., Berger, M. (2020). OCT-based automated vitreous inflammation score: a promising biomarker in dexamethasone implant treated uveitis patients. In: Investigative Ophthalmology & Visual Science (IOVS). ARVO Annual Meeting 2020, 3 - 7 May 2020, Baltimore, USA.

Petzold, A., Coric, D., Balk, L. J. (2020). Longitudinal Development of Peripapillary Hyper-Reflective Ovoid Masslike Structures Suggests a Novel Pathological Pathway in Multiple Sclerosis.. Annals of Neurology, 88(2), pp. 309-319. doi: 10.1002/ana.25782

Coric, D., Ometto, G., Montesano, G. (2020). Objective quantification of vitreous haze on optical coherence tomography scans: no evidence for relationship between uveitis and inflammation in multiple sclerosis. European Journal of Neurology, 27(1), article number 144-e3. doi: 10.1111/ene.14048

Ometto, G., Montesano, G., Afgeh, S. (2020). Merging Information From Infrared and Autofluorescence Fundus Images for Monitoring of Chorioretinal Atrophic Lesions Giovanni. Translational Vision Science & Technology, 9(9), article number 38. doi: 10.1167/tvst.9.9.38

Liu, X., Kelly, S. R., Montesano, G. (2019). Evaluating the Impact of Uveitis on Visual Field Progression Using Large Scale Real-World Data. American Journal of Ophthalmology, 207, pp. 144-150. doi: 10.1016/j.ajo.2019.06.004

Ometto, G., Moghul, I., Montesano, G. (2019). ReLayer: a free, online tool for extracting retinal thickness from cross-platform OCT images. Translational Vision Science & Technology, 8(3), article number 25. doi: 10.1167/tvst.8.3.25

Denniston, A. K., Lee, A. Y., Lee, C. S. (2018). United Kingdom Diabetic Retinopathy Electronic Medical Record (UK DR EMR) Users Group: report 4, real-world data on the impact of deprivation on the presentation of diabetic eye disease at hospital services.. British Journal of Ophthalmology, 103(6), pp. 837-843. doi: 10.1136/bjophthalmol-2018-312568

Montesano, G., Way, C. M., Ometto, G. (2018). Optimizing OCT acquisition parameters for assessments of vitreous haze for application in uveitis. Scientific Reports, 8(1), article number 1648. doi: 10.1038/s41598-018-20092-y

Denniston, A. K., Chakravarthy, U., Zhu, H. (2017). The UK Diabetic Retinopathy Electronic Medical Record (UK DR EMR) Users Group, Report 2: real-world data for the impact of cataract surgery on diabetic macular oedema. British Journal of Ophthalmology, 101(12), pp. 1673-1678. doi: 10.1136/bjophthalmol-2016-309838

Lee, C. S., Lee, A. Y., Baughman, D. (2017). The United Kingdom Diabetic Retinopathy Electronic Medical Record Users Group: Report 3: Baseline Retinopathy and Clinical Features Predict Progression of Diabetic Retinopathy. American Journal of Ophthalmology, 180, pp. 64-71. doi: 10.1016/j.ajo.2017.05.020

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