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Clinical and Epidemiologic Research June 2024

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

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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

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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

Anatomy and Pathology/Oncology May 2024

Retinal Changes From Hyperopia to Myopia: Not All Diopters Are Created Equal

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Fabian Yii; Miguel O. Bernabeu; Baljean Dhillon; Niall Strang; Tom MacGillivray
TAGS: diopters, hyperopia, myopia, refractive errors, eye, fovea centralis
Invest. Ophthalmol. Vis. Sci.. 2024; 65(5):25. https://doi.org/10.1167/iovs.65.5.25

Includes: Multimedia, Supplemental Content

Artificial Intelligence April 2024

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

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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

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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 2021

Long-term risk assessment of living kidney donors: a retinal study

Ylenia Giarratano; Alisa Pavel; Jie Lian; Rik Sarkar; Dan Pugh; Tariq Farrah; Neeraj Dhaun; Baljean Dhillon; Thomas MacGillivray; Miguel Oscar Bernabeu

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2484.

ARVO Annual Meeting Abstract June 2021

Image quality adjustment can compensate for fractal dimension interocular/intraocular variability and improve disease associations

Ana Villaplana Velasco; Erola Pairo-Castineira; Thomas MacGillivray; Muthu Rama Krishnan Mookiah; Stephen Hogg; Emanuele Trucco; Albert Tenesa; Miguel Oscar Bernabeu

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1791.

Articles December 2020

Automated Segmentation of Optical Coherence Tomography Angiography Images: Benchmark Data and Clinically Relevant Metrics

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Ylenia Giarratano; Eleonora Bianchi; Calum Gray; Andrew Morris; Tom MacGillivray; Baljean Dhillon; Miguel O. Bernabeu

Trans. Vis. Sci. Tech.. 2020; 9(13):5. https://doi.org/10.1167/tvst.9.13.5

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Optical coherence tomography angiography (OCTA) analysis of the diabetic eye: network-level vascular changes and patient classification

Ylenia Giarratano; Alisa Pavel; Jie Lian; Rik Sarkar; Laura Reid; Shareen Forbes; Baljean Dhillon; Tom MacGillivray; Miguel Oscar Bernabeu

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4105.

ARVO Annual Meeting Abstract June 2020

Retinal vascular changes in chronic kidney disease and following kidney donation measured with Optical Coherence Tomography Angiography (OCTA)

Miguel Oscar Bernabeu; Ylenia Giarratano; Alisa Pavel; Rik Sarkar; Dan Pugh; Tariq Farrah; Neeraj Dhaun; Baljean Dhillon; Tom MacGillivray

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4834.

ARVO Annual Meeting Abstract June 2020

Computational fluid dynamics (CFD) estimation of thrombus formation in diabetic retinal microaneurysms (MAs)

Konstantina Sampani; He Li; Xiaoning Zheng; Dimitrios Papageorgiou; Miguel Oscar Bernabeu; Ward Fickweiler; Lloyd Paul Aiello; George Karniadakis; Jennifer K Sun

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5023.

ARVO Annual Meeting Abstract July 2018

Optical Coherence Tomography Angiography (OCTA) Visibility of Diabetic Microaneurysms (MAs): associations with wall characteristics and blood flow parameters

Konstantina Sampani; Omar Abu-Qamar; Nilesh Raval; Yang Lu; Miguel O Bernabeu; Ward Fickweiler; Lloyd P Aiello; Jennifer K Sun

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2795.

ARVO Annual Meeting Abstract June 2017

Diabetic Retinal Microaneurysm (MA) Perfusion Analysis Based on Computational Fluid Modeling and Adaptive Optics Scanning Laser Ophthalmoscopy (AOSLO)

Yang Lu; Miguel O. Bernabeu; Omar Abu Qamar; Konstantina Sampani; Lloyd P Aiello; Jennifer K Sun

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):2005.

ARVO Annual Meeting Abstract September 2016

Computational Fluid Dynamics Modeling of Diabetic Retinal Microaneurysms (MAs) Based on Adaptive Optics Scanning Laser Ophthalmoscopy (AOSLO)

Yang Lu; Miguel O. Bernabeu; Charles C Cai; Jan Lammer; Lloyd P Aiello; Jennifer K Sun

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):5911.

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

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

Retinal Changes From Hyperopia to Myopia: Not All Diopters Are Created Equal

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

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

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

Long-term risk assessment of living kidney donors: a retinal study

Image quality adjustment can compensate for fractal dimension interocular/intraocular variability and improve disease associations

Automated Segmentation of Optical Coherence Tomography Angiography Images: Benchmark Data and Clinically Relevant Metrics

Optical coherence tomography angiography (OCTA) analysis of the diabetic eye: network-level vascular changes and patient classification

Retinal vascular changes in chronic kidney disease and following kidney donation measured with Optical Coherence Tomography Angiography (OCTA)

Computational fluid dynamics (CFD) estimation of thrombus formation in diabetic retinal microaneurysms (MAs)

Optical Coherence Tomography Angiography (OCTA) Visibility of Diabetic Microaneurysms (MAs): associations with wall characteristics and blood flow parameters

Diabetic Retinal Microaneurysm (MA) Perfusion Analysis Based on Computational Fluid Modeling and Adaptive Optics Scanning Laser Ophthalmoscopy (AOSLO)

Computational Fluid Dynamics Modeling of Diabetic Retinal Microaneurysms (MAs) Based on Adaptive Optics Scanning Laser Ophthalmoscopy (AOSLO)

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