1. University College London

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    1. Mentioned In 305 Articles

    2. Training deep learning models to work on multiple devices by cross domain learning with no additional annotations

      Training deep learning models to work on multiple devices by cross domain learning with no additional annotations
      Purpose To create an unsupervised cross domain segmentation algorithm for segmenting intraretinal fluid and retinal layers on normal and pathologic macular optical coherence tomography (OCT) images from different manufacturers and camera devices. Design We sought to use Generative Adversarial Networks (GAN) to generalize a segmentation model trained on one OCT device to segment B-scans obtained from a different OCT device manufacturer in a fully unsupervised approach without labeled data from ...
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    3. Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning

      Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning
      Geographic atrophy (GA) is a vision-threatening manifestation of age-related macular degeneration (AMD), one of the leading causes of blindness globally. Objective, rapid, reliable, and scalable quantification of GA from optical coherence tomography (OCT) retinal scans is necessary for disease monitoring, prognostic research, and clinical endpoints for therapy development. Such automatically quantified biomarkers on OCT are likely to further elucidate structure-function correlation in GA and thus the pathophysiological mechanisms of disease ...
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    4. PhD on Optical Coherence Tomography of the Eye in Low Resource Settings, University of Kent

      PhD on Optical Coherence Tomography of the Eye in Low Resource Settings, University of Kent
      Scholarship value Tuition fees and stipend at the standard Research Council rate (Home rate only: 4,596 (fees) and 17,668 (stipend). Deadline Applications must be received by Monday 10 October 2022, 23.59 BST Criteria Open to Home students only. To be classed as a Home student, candidates must meet the RCUK residency criteria, see appendix B . The applicant must have a good background in theoretical and experimental optics ...
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    5. Normative Data and Conversion Equation for Spectral-Domain Optical Coherence Tomography in an International Healthy Control Cohort

      Normative Data and Conversion Equation for Spectral-Domain Optical Coherence Tomography in an International Healthy Control Cohort
      Background: Spectral-domain (SD-) optical coherence tomography (OCT) can reliably measure axonal (peripapillary retinal nerve fiber layer [pRNFL]) and neuronal (macular ganglion cell + inner plexiform layer [GCIPL]) thinning in the retina. Measurements from 2 commonly used SD-OCT devices are often pooled together in multiple sclerosis (MS) studies and clinical trials despite software and segmentation algorithm differences; however, individual pRNFL and GCIPL thickness measurements are not interchangeable between devices. In some circumstances ...
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    6. Baseline Microperimetry and OCT in the RUSH2A Study: Structure-Function Association and Correlation with Disease Severity

      Baseline Microperimetry and OCT in the RUSH2A Study: Structure-Function Association and Correlation with Disease Severity
      Purpose: To investigate baseline mesopic microperimetry (MP) and spectral domain optical coherence tomography (OCT) in the Rate of Progression in USH2A-related Retinal Degeneration (RUSH2A) study. Design: Natural history study SETTING: 16 clinical sites in Europe and North America STUDY POPULATION: Participants with Usher syndrome type 2 (USH2) (N=80) or autosomal recessive nonsyndromic RP (ARRP) (N=47) associated with biallelic disease-causing sequence variants in USH2A. Observation procedures: General linear models ...
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    7. Quantification and Predictors of OCT-Based Macular Curvature and Dome-Shaped Configuration

      Quantification and Predictors of OCT-Based Macular Curvature and Dome-Shaped Configuration
      Purpose: To investigate macular curvature, including the evaluation of potential associations and the dome-shaped macular configuration, given the increasing myopia prevalence and expected associated macular malformations. Methods: The study included a total of 65,440 subjects with a mean age ( SD) of 57.3 8.11 years with spectral-domain optical coherence tomography (OCT) data from a unique contemporary resource for the study of health and disease that recruited more than ...
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    8. Correcting magnification error in foveal avascular zone area measurements of optical coherence tomography angiography images with estimated axial length

      Correcting magnification error in foveal avascular zone area measurements of optical coherence tomography angiography images with estimated axial length
      Background: To generate and validate a method to estimate axial length estimated (AL est ) from spherical equivalent (SE) and corneal curvature [keratometry (K)], and to determine if this AL est can replace actual axial length (AL act ) for correcting transverse magnification error in optical coherence tomography angiography (OCTA) images using the Littmann-Bennett formula. Methods: Data from 1301 participants of the Raine Study Gen2-20 year follow-up were divided into two datasets ...
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    9. In vivo evaluation of traumatic and malignant oral ulcers with optical coherence tomography: a comparison between histopathological and ultrastructural findings

      In vivo evaluation of traumatic and malignant oral ulcers with optical coherence tomography: a comparison between histopathological and ultrastructural findings
      Ulcers in the oral mucosa is a relatively common, although challenging, entity in oral medicine, as it can arise due to a wide range of traumatic, infective, autoimmune, and neoplastic disorders. Although histopathology of lesional and peri-lesional tissues remains the gold standard for persistent oral breaching, optical coherence tomography (OCT) has been recently suggested as a potential ally to enhance the early or non-invasive diagnosis of likely causation. The aim ...
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    10. Guest Edited Collection: Quantitative and computational techniques in optical coherence tomography

      Guest Edited Collection: Quantitative and computational techniques in optical coherence tomography
      Optical coherence tomography (OCT) is a three-dimensional optical imaging technique, frequently (but not exclusively) used for retinal imaging, that was first reported in the early 1990s. Since this time the technological development of OCT has been strongly influenced by its potential as a medical imaging technique. The first clinical prototype for use in ophthalmology was completed in 1994, paving the way for the first commercially available ophthalmic OCT system to ...
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    11. The Role of Optical Coherence Tomography Criteria and Machine Learning in Multiple Sclerosis and Optic Neuritis Diagnosis

      The Role of Optical Coherence Tomography Criteria and Machine Learning in Multiple Sclerosis and Optic Neuritis Diagnosis
      Background and objectives: Recent studies have suggested that inter-eye differences (IEDs) in peripapillary retinal nerve fiber layer (pRNFL) or ganglion cell+inner plexiform (GCIPL) thickness by spectral-domain optical coherence tomography (SD-OCT) may identify people with a history of unilateral optic neuritis (ON). However, this requires further validation. Machine learning classification may be useful for validating thresholds for OCT IEDs and for examining added utility for visual function tests, such as ...
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    12. Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs

      Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs
      Purpose To validate the generalizability of a deep learning system (DLS) that detects diabetic macular edema (DME) from 2-dimensional color fundus photographs (CFP), for which the reference standard for retinal thickness and fluid presence is derived from 3-dimensional OCT. Design Retrospective validation of a DLS across international datasets. Participants Paired CFP and OCT of patients from diabetic retinopathy (DR) screening programs or retina clinics. The DLS was developed using data ...
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    13. Neuroimaging and cognitive correlates of retinal Optical Coherence Tomography (OCT) measures at late middle age in a twin sample

      Neuroimaging and cognitive correlates of retinal Optical Coherence Tomography (OCT) measures at late middle age in a twin sample
      Sharing in embryology and function between the eye and brain has led to interest in whether assessments of the eye reflect brain changes seen in neurodegeneration. We aimed to examine the associations between measures of retinal layer thickness using optical coherence tomography (OCT) and multimodal measures of brain structure and function. Using a convenient sample of twins discordant for type 2 diabetes, we performed cognitive testing, structural brain MRI (tissue ...
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    14. Correlation of Optical Coherence Tomography Angiography Characteristics with Visual Function to Define Vision-Threatening Diabetic Macular Ischemia

      Correlation of Optical Coherence Tomography Angiography Characteristics with Visual Function to Define Vision-Threatening Diabetic Macular Ischemia
      The thresholds of macular microvasculature parameters associated with mild visual impairment in diabetic macular ischemia (DMI) patients are unclear. Therefore, this prospective observational study is aimed at demonstrating the optical coherence tomography angiography parameters that best correlate with mild visual impairment (70 Early Treatment Diabetic Retinopathy Study (ETDRS) letters, Snellen equivalent 20/40) in DMI. The study was completed at the Moorfields Eye Hospital from December 2019 to August 2021 ...
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    15. Artificial Intelligence and Imaging Processing in Optical Coherence Tomography and Digital Images in Uveitis

      Artificial Intelligence and Imaging Processing in Optical Coherence Tomography and Digital Images in Uveitis
      Introduction: Computer vision, understood as the area of science that trains computers to interpret digital images through both artificial intelligence (AI) and classical algorithms, has significantly advanced the analysis and interpretation of optical coherence tomography (OCT) in retina research. The aim of this review is to summarise the recent advances of computer vision in imaging processing in uveitis, with a particular focus in optical coherence tomography images. Material and methods ...
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  2. About University College London

    University College London

    University College London is the oldest multi-faculty constituent college of the University of London and is one of the two original founding colleges. With 21,800 staff and students, UCL is one of the largest colleges of the University and is larger than most other universities in the United Kingdom. The Department of Medical Physics and Bioengineering has been for many years a joint department of University College London (UCL) and the UCL Hospitals Trust (UCLH).