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ARVO Annual Meeting Abstract June 2022

Qualitative comparison of AutoML explainability tools with bespoke saliency methods

Sara Beqiri; Eneda Rustemi; Madeline Kelly; Robbert Struyven; Edward Korot; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):200 – F0047. doi:

ARVO Annual Meeting Abstract June 2022

A Novel Approach to Estimating Choroidal Lesion Thickness Using 2D Optomap Images

Michael Yu; Michael Heiferman; Edward Korot; Prithvi Mruthyunjaya

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2665. doi:

ARVO Annual Meeting Abstract June 2021

Investigating the impact of saliency maps on clinician’s confidence in model predictions

Sara Beqiri; Abdallah Abbas; Edward Korot; Siegfried Wagner; Robbert Struyven; Madeline Kelly; Ritvij Singh; Daniel Ferraz; Mariana Batista Goncalves; Josef Christian Huemer; Hagar Khalid; Laxmi Raja; Pearse A Keane

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2297. doi:

ARVO Annual Meeting Abstract June 2021

Exploring the What-If-Tool as a solution for machine learning explainability in clinical practice

Ritvij Singh; Abdallah Abbas; Sara Beqiri; Edward Korot; Robbert Struyven; Peter Woodward-Court; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):79. doi:

ARVO Annual Meeting Abstract June 2021

Using the What-if Tool to perform nearest counterfactual analysis on an AutoML model that predicts visual acuity outcomes in patients receiving treatment for wet age-related macular degeneration

Abdallah Abbas; Sara Beqiri; Siegfried Wagner; Edward Korot; Ritvij Singh; Robbert Struyven; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):291. doi:

ARVO Annual Meeting Abstract June 2021

Democratizing AI for DR: Automated Self-Training to Address Label Scarcity for Deep Learning in Diabetic Retinopathy Classification

Edward Korot; Mariana Batista Goncalves; Josef Christian Huemer; Hagar Khalid; Siegfried Wagner; Xiaoxuan Liu; Livia Faes; Alastair K Denniston; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2132. doi:

ARVO Annual Meeting Abstract June 2020

Automated classification of Retinopathy of Prematurity RetCam images using the Apple CreateML platform: gradeable versus ungradeable image classification

Konstantinos Balaskas; Pearse Andrew Keane; Siegfried Wagner; Gongyu Zhang; Livia Faes; Meera Radia; Nikolas Pontikos; Edward Korot; Gabriella Moraes; Hagar Khalid; Gill Adams

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2026. doi:

ARVO Annual Meeting Abstract June 2020

Automated Machine Learning Model for Fundus Photo Gradeability and Laterality: A Public ML Research Toolkit Sans-coding

Siegfried Wagner; Edward Korot; Hagar Khalid; Tjebo Heeren; Daniel Ferraz; Zeyu Guan; Gongyu Zhang; Josef Christian Huemer; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2029. doi:

ARVO Annual Meeting Abstract June 2020

Cross Platforms Comparison between Automated Machine Learning Models for Fundus Photos and OCT Classification

daniel Araujo ferraz; Edward Korot; Zeyu Guan; Gabriella Moraes; Siegfried Wagner; Gongyu Zhang; Hagar Khalid; Josef Christian Huemer; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2040. doi:

ARVO Annual Meeting Abstract June 2020

Code-free Mobile Automated Deep Learning Model for Ophthalmic Image Classification and Deployment as an App for Smartphones

Zeyu Guan; Gongyu Zhang; Edward Korot; daniel Araujo ferraz; Hagar Khalid; Siegfried Wagner; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2006. doi:

ARVO Annual Meeting Abstract June 2020

AI building AI: Deep Learning Detection of Referable Diabetic Retinopathy Sans-coding

Edward Korot; Siegfried Wagner; Livia Faes; Dun Jack Fu; Xiaoxuan Liu; Daniel Ferraz; Hagar Khalid; Reena Chopra; Gabriella Moraes; Gongyu Zhang; Zeyu Guan; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2025. doi:

ARVO Annual Meeting Abstract June 2020

Optimising Treatment of Neovascular Age-related Macular Degeneration using Reinforcement Learning

Gongyu Zhang; Zeyu Guan; Edward Korot; Reena Chopra; Gabriella Moraes; Siegfried Wagner; Livia Faes; Dun Jack Fu; Hagar Khalid; daniel Araujo ferraz; Konstantinos Balaskas; Daniel Alexander; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1628. doi:

Special Issue February 2020

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

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Siegfried K. Wagner; Dun Jack Fu; Livia Faes; Xiaoxuan Liu; Josef Huemer; Hagar Khalid; Daniel Ferraz; Edward Korot; Christopher Kelly; Konstantinos Balaskas; Alastair K. Denniston; Pearse A. Keane
TAGS: cardiovascular diseases, diagnostic imaging, eye, systemic disease, neurodegenerative disorders, dementia, datasets
Trans. Vis. Sci. Tech.. 2020; 9(2):6. doi: https://doi.org/10.1167/tvst.9.2.6

Special Issue January 2020

Will AI Replace Ophthalmologists?

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Edward Korot; Siegfried K. Wagner; Livia Faes; Xiaoxuan Liu; Josef Huemer; Daniel Ferraz; Pearse A. Keane; Konstantinos Balaskas
TAGS: ophthalmologists
Trans. Vis. Sci. Tech.. 2020; 9(2):2. doi: https://doi.org/10.1167/tvst.9.2.2

ARVO Annual Meeting Abstract July 2019

Noninferiority of a Head-Mounted 3D Display in Ophthalmic Microsurgical Skill Performance

Edward Korot; Mark Rolain; George A. Williams

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6128. doi:

ARVO Annual Meeting Abstract July 2018

Automated Algorithmic Analysis of OCT Scans for Vitreous Hyperreflective Foci in Patients with Retinal Vein Occlusion

Edward Korot; Pearse Keane; Karsten Kortum; David A Antonetti

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1671. doi:

ARVO Annual Meeting Abstract June 2017

Algorithmic Analysis of Vitreous Hyperreflective Foci in OCT Scans of Patients with Uveitis as a Correlate of Inflamation and Visual Acuity

Edward Korot; Vaidehi Dedania; Thiran Jayasundera; Grant Michael Comer; David A Antonetti

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):1866. doi:

ARVO Annual Meeting Abstract June 2015

Novel Algorithm for the Measure of Vitreous Hyper-Reflective Foci in Optical Coherence Tomography Scans as a Correlate for Inflammation in Uveitis and Diabetes

Edward Korot; Grant Comer; David Antonetti

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):6176. doi:

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Qualitative comparison of AutoML explainability tools with bespoke saliency methods

A Novel Approach to Estimating Choroidal Lesion Thickness Using 2D Optomap Images

Investigating the impact of saliency maps on clinician’s confidence in model predictions

Exploring the What-If-Tool as a solution for machine learning explainability in clinical practice

Using the What-if Tool to perform nearest counterfactual analysis on an AutoML model that predicts visual acuity outcomes in patients receiving treatment for wet age-related macular degeneration

Democratizing AI for DR: Automated Self-Training to Address Label Scarcity for Deep Learning in Diabetic Retinopathy Classification

Automated classification of Retinopathy of Prematurity RetCam images using the Apple CreateML platform: gradeable versus ungradeable image classification

Automated Machine Learning Model for Fundus Photo Gradeability and Laterality: A Public ML Research Toolkit Sans-coding

Cross Platforms Comparison between Automated Machine Learning Models for Fundus Photos and OCT Classification

Code-free Mobile Automated Deep Learning Model for Ophthalmic Image Classification and Deployment as an App for Smartphones

AI building AI: Deep Learning Detection of Referable Diabetic Retinopathy Sans-coding

Optimising Treatment of Neovascular Age-related Macular Degeneration using Reinforcement Learning

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

Will AI Replace Ophthalmologists?

Noninferiority of a Head-Mounted 3D Display in Ophthalmic Microsurgical Skill Performance

Automated Algorithmic Analysis of OCT Scans for Vitreous Hyperreflective Foci in Patients with Retinal Vein Occlusion

Algorithmic Analysis of Vitreous Hyperreflective Foci in OCT Scans of Patients with Uveitis as a Correlate of Inflamation and Visual Acuity

Novel Algorithm for the Measure of Vitreous Hyper-Reflective Foci in Optical Coherence Tomography Scans as a Correlate for Inflammation in Uveitis and Diabetes

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