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Meeting Abstract (8)
Journal Articles (5)

Journal

Investigative Ophthalmology & Visual Science (10)
Translational Vision Science & Technology (3)

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ARVO Annual Meeting Abstract (5)
ARVO Imaging in the Eye Conference Abstract (3)
Artificial Intelligence (3)
Clinical and Epidemiologic Research (1)
Multidisciplinary Ophthalmic Imaging (1)

Topics

Eye Anatomy and Disorders (4)
Imaging (3)
Multidisciplinary Ophthalmic Imaging (3)
Translational Research (3)
Clinical and Epidemiologic Research (2)
Retina (2)
Glaucoma (1)
Retinal Imaging (1)
Visual Neuroscience (1)
Visual Psychophysics and Physiological Optics (1)

Tags

choroid (2)
datasets (2)
deep learning (2)
fovea centralis (2)
fractals (2)
image quality (2)
optical coherence tomography (2)
pixel (2)
biological markers (1)
cohort studies (1)

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Artificial Intelligence November 2024

SLOctolyzer: Fully Automatic Analysis Toolkit for Segmentation and Feature Extracting in Scanning Laser Ophthalmoscopy Images

PDF

Jamie Burke; Samuel Gibbon; Justin Engelmann; Adam Threlfall; Ylenia Giarratano; Charlene Hamid; Stuart King; Ian J. C. MacCormick; Thomas J. MacGillivray
TAGS: optic disk, scanning laser ophthalmoscopy, fovea centralis, datasets, pixel
Trans. Vis. Sci. Tech.. 2024; 13(11):7. https://doi.org/10.1167/tvst.13.11.7

Includes: Supplemental Content

ARVO Imaging in the Eye Conference Abstract July 2024

Effective Artificial Intelligence (AI)-based identification of Geographic Atrophy (GA) in ultra-widefield (UWF) imaging in mixed and age-related macular degeneration (AMD) populations

Justin Engelmann; Hitoshi Tabuchi; Hodaka Deguchi; Tomofusa Yamauchi; Miguel Bernabeu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PB0030.

ARVO Imaging in the Eye Conference Abstract July 2024

Real-World Performance Evaluation of an AI Model for Detecting Retinal Detachment in UWF Fundus Images

Hitoshi Tabuchi; Justin Engelmann; Hodaka Deguchi; Naofumi Ishitobi; Miguel Bernabeu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PB0029.

ARVO Annual Meeting Abstract June 2024

Using latent diffusion models to generate synthetic OCTA images

Darwon Rashid; Ylenia Giarratano; Tom MacGillivray; Justin Engelmann; Baljean Dhillon; Craig Ritchie; Hemal Patel; Anita Kundu; Dilraj S. Grewal; Sophie Cai; Sharon Fekrat; Miguel Bernabeu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3741.

ARVO Annual Meeting Abstract June 2024

Arteriole and venule segmentation in infra-red scanning laser ophthalmoscope (IRSLO) images: a novel dataset and deep learning model

Adam Threlfall; Jamie Burke; Samuel Gibbon; Ylenia Giarratano; Justin Engelmann; Baljean Dhillon; Niall MacDougall; Miguel Bernabeu; Tom MacGillivray

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2401.

ARVO Annual Meeting Abstract June 2024

FINEQual: A taxonomy for fine-grained, functional quality assessment of retinal colour fundus images and triple-graded assessment of a random sample of UK Biobank images

Charlene Hamid; Justin Engelmann; Fiona Buckmaster; Fabian Yii; Miguel Bernabeu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5952.

ARVO Annual Meeting Abstract June 2024

Repeatability and measurement noise of retinal Fractal Dimension using Deep Approximation of Retinal Traits (DART) and their relationship with image quality

Justin Engelmann; Lucas Gago; Diana Moukaddem; Jamie Burke; Amos Storkey; Miguel Bernabeu; Niall C Strang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5964.

Clinical and Epidemiologic Research June 2024

Applicability of Oculomics for Individual Risk Prediction: Repeatability and Robustness of Retinal Fractal Dimension Using DART and AutoMorph

PDF

Justin Engelmann; Diana Moukaddem; Lucas Gago; Niall Strang; Miguel O. Bernabeu
TAGS: datasets, fractals, image quality, radiation therapy, adaptive, eye, grapes (dietary), noise
Invest. Ophthalmol. Vis. Sci.. 2024; 65(6):10. https://doi.org/10.1167/iovs.65.6.10

Includes: Supplemental Content

Multidisciplinary Ophthalmic Imaging June 2024

Choroidalyzer: An Open-Source, End-to-End Pipeline for Choroidal Analysis in Optical Coherence Tomography

PDF

Justin Engelmann; Jamie Burke; Charlene Hamid; Megan Reid-Schachter; Dan Pugh; Neeraj Dhaun; Diana Moukaddem; Lyle Gray; Niall Strang; Paul McGraw; Amos Storkey; Paul J. Steptoe; Stuart King; Tom MacGillivray; Miguel O. Bernabeu; Ian J. C. MacCormick
TAGS: choroid, deep learning, fovea centralis, optical coherence tomography, pixel, cohort studies, tourette syndrome, training
Invest. Ophthalmol. Vis. Sci.. 2024; 65(6):6. https://doi.org/10.1167/iovs.65.6.6

Includes: Supplemental Content

Artificial Intelligence April 2024

Retinal Fractal Dimension Is a Potential Biomarker for Systemic Health—Evidence From a Mixed-Age, Primary-Care Population

PDF

Justin Engelmann; Stephanie Kearney; Alice McTrusty; Greta McKinlay; Miguel O. Bernabeu; Niall Strang
TAGS: biological markers, fractals, health, image quality, primary health care
Trans. Vis. Sci. Tech.. 2024; 13(4):19. https://doi.org/10.1167/tvst.13.4.19

Includes: Supplemental Content

Artificial Intelligence November 2023

An Open-Source Deep Learning Algorithm for Efficient and Fully Automatic Analysis of the Choroid in Optical Coherence Tomography

PDF

Jamie Burke; Justin Engelmann; Charlene Hamid; Megan Reid-Schachter; Tom Pearson; Dan Pugh; Neeraj Dhaun; Amos Storkey; Stuart King; Tom J. MacGillivray; Miguel O. Bernabeu; Ian J. C. MacCormick
TAGS: choroid, deep learning, optical coherence tomography
Trans. Vis. Sci. Tech.. 2023; 12(11):27. https://doi.org/10.1167/tvst.12.11.27

Includes: Supplemental Content

ARVO Imaging in the Eye Conference Abstract June 2023

Deep learning (DL) identifies age as key axis of perceptual variation in fundus images – without training on fundus images

Justin Engelmann; Amos Storkey; Miguel O. Bernabeu

Invest. Ophthalmol. Vis. Sci.. 2023; 64(9):PB004.

ARVO Annual Meeting Abstract June 2023

Exclusion of poor quality fundus images biases health research linking retinal traits and systemic health

Justin Engelmann; Amos Storkey; Miguel Bernabeu LLinares

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):2922.

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Online ISSN: 2164-2591

Investigative Ophthalmology & Visual Science
Journal of Vision
Translational Vision Science & Technology

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