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ARVO Annual Meeting Abstract June 2024

A deep-learning approach to identifying quantitative OCT biomarkers predictive of visual deficit measured by microperimetry at 24 months in the OAKS trial

Dun Jack Fu; Pallavi Bagga; Gunjan Naik; Livia Faes; Rosana Lima; Georgina Wignall; Pearse Andrew Keane; Alex McKeown; Lukas Scheibler; Praveen J Patel; Ismail Moghul; Nikolas Pontikos; Konstantinos Balaskas

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2772.

ARVO Annual Meeting Abstract June 2024

The SD-OCT correlates of fundus autofluorescence in geographic atrophy: a comprehensive point-to-point analysis of fundus autofluorescence with SD-OCT using phase 3 trials DERBY and OAKS.

Konstantinos Balaskas; Bart Liefers; Robbert Struyven; siegfried wagner; Sophie Glinton; Gongyu Zhang; Livia Faes; Veronika Lipkova; Gunjan Naik; Pallavi Bagga; Praveen J Patel; Alex McKeown; Lukas Scheibler; Christine A Curcio; Dun Jack Fu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):449.

ARVO Annual Meeting Abstract June 2024

AI-based qOCT analysis of phase 3 trials OAKS & DERBY data on the effect of pegcetacoplan on geographic atrophy

Pallavi Bagga; Dun Jack Fu; Bart Liefers; Robbert Struyven; Siegfried Wagner; Sophie Glinton; Gongyu Zhang; Livia Faes; Veronika Lipkova; Gunjan Naik; Praveen J Patel; Alex McKeown; Lukas Scheibler; Nikolas Pontikos; Ismail Moghul; Konstantinos Balaskas

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3262.

ARVO Annual Meeting Abstract June 2022

Development and external validation of a novel automatic segmentation model for detection and quantification of geographic atrophy from optical coherence tomography imaging

Dun Jack Fu; Tiarnan D L Keenan; Sophie Glinton; Livia Faes; Siegfried Wagner; Alex McKeown; Gongyu Zhang; Bart Liefers; Praveen Patel; Pearse Andrew Keane; Konstantinos Balaskas

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2054 – F0043.

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.

ARVO Annual Meeting Abstract June 2020

CONSORT-AI and SPIRIT-AI: New Reporting Guidelines for Clinical Trials and Trial Protocols for Artificial Intelligence Interventions

Xiaoxuan Liu; Samantha Cruz Rivera; Livia Faes; Pearse Andrew Keane; David Moher; Melanie Calvert; Alastair K Denniston

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1617.

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.

ARVO Annual Meeting Abstract June 2020

Clinical flow of patients referred from the UK national diabetes eye screening programme through a pathway with virtual clinics

Dun Jack Fu; Livia Faes; Josef Huemer; Christoph Kern; Amanda Charnley; Sandro Fasolo; Pearse Keane; Dawn A Sim

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4230.

ARVO Annual Meeting Abstract June 2020

Anatomical changes influencing treatment outcome in neovascular age related macular degeneration over ten-years follow up

Mohammed Aamir Ismailjee; Cristina Arpa; Hagar Khalid; Dun Jack Fu; Giovanni Montesano; Reena Chopra; Livia Faes; Gabriella Moraes; Siegfried Wagner; daniel Araujo ferraz; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4232.

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.

ARVO Annual Meeting Abstract June 2020

Ten-year visual outcomes in patients with treated neovascular age related macular degeneration receiving anti-VEGF therapy

Noha Soliman; Cristina Arpa; Hagar Khalid; Dun Jack Fu; Giovanni Montesano; Reena Chopra; Livia Faes; Gabriella Moraes; Siegfried Wagner; Daniel Ferraz; Zeyu Guan; Konstantinos Balaskas; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4231.

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.

Special Issue February 2020

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

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Livia Faes; Xiaoxuan Liu; Siegfried K. Wagner; Dun Jack Fu; Konstantinos Balaskas; Dawn A. Sim; Lucas M. Bachmann; Pearse A. Keane; Alastair K. Denniston
TAGS: artificial intelligence, datasets, machine learning
Trans. Vis. Sci. Tech.. 2020; 9(2):7. https://doi.org/10.1167/tvst.9.2.7

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. 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. https://doi.org/10.1167/tvst.9.2.2

ARVO Annual Meeting Abstract July 2019

Automated Development of Deep Learning Models to Diagnose Retinal Disease from Fundus and Optical Coherence Tomography Images

Pearse Andrew Keane; Livia Faes; Siegfried Wagner; Dun Jack Fu; Joseph R Ledsam; Reena Chopra; Christoph Kern; Gabriella Moraes; NIKOLAS PONTIKOS; Martin K Schmid; Lucas M Bachmann; Dawn A Sim; Konstantinos Balaskas

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1453.

ARVO Annual Meeting Abstract July 2019

Diagnostic accuracy and interobserver variability of macular disease evaluation using optical coherence tomography

Siegfried Karl Wagner; Reena Chopra; Joseph R Ledsam; Harry Askham; Sam Blackwell; Livia Faes; Konstantinos Balaskas; Trevor Back; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1849.

ARVO Annual Meeting Abstract July 2019

REAL LIFE VISUAL ACUITY OUTCOMES FOR PATIENTS TREATED WITH ANTI-VEGF FOR DIABETIC MACULAR OEDEMA IN A TERTIARY REFERRAL CENTER

Josef Huemer; Christoph Kern; Dun Jack Fu; Livia Faes; Siegfried Wagner; Karsten Ulrich Kortuem; Praveen Patel; Konstantinos Balaskas; Dawn A Sim; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3647.

ARVO Annual Meeting Abstract July 2019

Real life structural outcomes in optical coherence tomography for patients treated with anti-VEGF for diabetic macular oedema

Karsten Ulrich Kortuem; Christoph Kern; Dun Jack Fu; Josef Huemer; Livia Faes; Siegfried Wagner; Praveen Patel; Konstantinos Balaskas; Dawn A Sim; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3649.

ARVO Annual Meeting Abstract July 2019

CORRELATION BETWEEN VISUAL ACUITY AND CENTRAL RETINAL THICKNESS FOR PATIENTS TREATED WITH ANTI-VEGF FOR DIABETIC MACULAR OEDEMA

Charles Hennings; Christoph Kern; Dun Jack Fu; Karsten Ulrich Kortuem; Josef Huemer; Livia Faes; Siegfried Karl Wagner; Praveen Patel; Konstantinos Balaskas; Dawn A Sim; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3653.

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A deep-learning approach to identifying quantitative OCT biomarkers predictive of visual deficit measured by microperimetry at 24 months in the OAKS trial

The SD-OCT correlates of fundus autofluorescence in geographic atrophy: a comprehensive point-to-point analysis of fundus autofluorescence with SD-OCT using phase 3 trials DERBY and OAKS.

AI-based qOCT analysis of phase 3 trials OAKS & DERBY data on the effect of pegcetacoplan on geographic atrophy

Development and external validation of a novel automatic segmentation model for detection and quantification of geographic atrophy from optical coherence tomography imaging

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

CONSORT-AI and SPIRIT-AI: New Reporting Guidelines for Clinical Trials and Trial Protocols for Artificial Intelligence Interventions

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

Clinical flow of patients referred from the UK national diabetes eye screening programme through a pathway with virtual clinics

Anatomical changes influencing treatment outcome in neovascular age related macular degeneration over ten-years follow up

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

Ten-year visual outcomes in patients with treated neovascular age related macular degeneration receiving anti-VEGF therapy

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

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

Will AI Replace Ophthalmologists?

Automated Development of Deep Learning Models to Diagnose Retinal Disease from Fundus and Optical Coherence Tomography Images

Diagnostic accuracy and interobserver variability of macular disease evaluation using optical coherence tomography

REAL LIFE VISUAL ACUITY OUTCOMES FOR PATIENTS TREATED WITH ANTI-VEGF FOR DIABETIC MACULAR OEDEMA IN A TERTIARY REFERRAL CENTER

Real life structural outcomes in optical coherence tomography for patients treated with anti-VEGF for diabetic macular oedema

CORRELATION BETWEEN VISUAL ACUITY AND CENTRAL RETINAL THICKNESS FOR PATIENTS TREATED WITH ANTI-VEGF FOR DIABETIC MACULAR OEDEMA

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