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ARVO Annual Meeting Abstract June 2025

Potential for Patient Benefit with AI Assisted Second Opinion for Treatment Planning in nAMD

Adam M Dubis; Sokmen Aydin; Sandra Liakopoulos; Brita Heimes

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):1740.

ARVO Annual Meeting Abstract June 2025

Neural Style Transfer Improves Generalization of Cell Detection in Adaptive Optics Scanning Laser Ophthalmoscopy Imaging

James Bardet; Alain Jacot-Guillarmod; Jelena Potic; Adham Elwakil; Mattia Tomasoni; Ferenc B Sallo; Adam M Dubis

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):1732.

ARVO Annual Meeting Abstract June 2025

Assessing photoreceptor damage and potential for rescue in neurodegenerative disease.

Ferenc B Sallo; James Bardet; Claude Schweizer; Aurelie Navarro; Dian Morais De Almeida; Marie Misteli; Adham Elwakil; Adam M Dubis

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):1968.

ARVO Annual Meeting Abstract June 2025

Development of an AI Second Opinion for treatment planning in nAMD

Elizaveta Lavrova; Sokmen Aydin; Dominic Sykes; Alessandro Casella; Matthias Gutfleisch; Kai Rothaus; Ratko Petrovic; Adam M Dubis

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):4182.

Optica Fall Vision Meeting Abstract April 2025

Invited Session III: Machine Learning and AI Approaches to Retinal Diagnostics: Towards more robust AI models in ophthalmology

Adam M Dubis; Mustafa Arikan; James Willoughby; Watjana Lilaonitkul
TAGS: machine learning, ophthalmology
Journal of Vision. 2025; 25(5):29. https://doi.org/10.1167/jov.25.5.29

ARVO Imaging in the Eye Conference Abstract July 2024

Optical coherence tomography angiography markers of neovascularisation activity in treated wet age-related macular degeneration

Mingya Alexa Gong; Ivana Matovinovic; Daren Hanumunthadu; Konstantinos Balaskas; Daniela Florea; Pearse Keane; Adam M Dubis; Tariq Aslam; Da Ma; Sven Loncaric; Magdalena Niestrata; Marinko V Sarunic; Praveen J Patel

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PB0087.

ARVO Annual Meeting Abstract June 2024

Automated toolkit for Vascular Morphology and Pericyte Characteristics Analysis in Early Diabetic Retinopathy.

Marlene Elisa Da Vitoria Lobo; Juan Nunez-Iglesias; Kevin A Yamauchi; Giulia De Rossi; Jack Blackburn; Adam M Dubis; John Greenwood

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5367.

Artificial Intelligence November 2023

Deep Density Estimation for Cone Counting and Diagnosis of Genetic Eye Diseases From Adaptive Optics Scanning Light Ophthalmoscope Images

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Santiago Toledo-Cortés; Adam M. Dubis; Fabio A. González; Henning Müller
TAGS: code, datasets, eye diseases, hereditary, ophthalmoscopes, retinal cone, optics, training, retinitis pigmentosa, stargardt's disease
Trans. Vis. Sci. Tech.. 2023; 12(11):25. https://doi.org/10.1167/tvst.12.11.25

ARVO Annual Meeting Abstract June 2023

Detection of photoreceptor layer thinning prior to the presence of an EZ break in MacTel Type 2

Ferenc B Sallo; Mustafa Arikan; Watjana Lilaonitkul; Adam M Dubis; Valérie Krivosic; Alain Gaudric; Emily Y. Chew; Alan C Bird; Daniel Pauleikhoff

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):3681.

ARVO Annual Meeting Abstract June 2022

Object detection on medical images with the aid of contrastive gated attention

James Willoughby; Ferenc Sallo; Moussa Zouache; Marketa Cilkova; Adam Dubis; Watjana Lilaonitkul

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2998 – F0268.

ARVO Annual Meeting Abstract June 2022

Loss of Cone Outer-segments and Thickening of Photoreceptor Layers in Multiple Sclerosis: The Belfast Eye and Multiple Sclerosis Study

Stephanie Gemma McIlwaine; Lajos Csincsik; Rachel Coey; Luping Wang; Denise Fitzgerald; Jill Moffatt; Adam Dubis; Tunde Peto; Imre Lengyel

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):4437 – F0116.

ARVO Annual Meeting Abstract June 2022

Normative database of cone photoreceptors in Confocal and Calculated-split Adaptive Optics Scanning Laser Ophthalmoscope images

Alain Jacot-Guillarmod; Jelena Potic; Mattia Tomasoni; Aurélie Navarro; Fanny Jeunet; Mikhail Tsaritsyn; Ciara Bergin; Adam M Dubis; Thomas Wolfensberger

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):400 – F0438.

ARVO Annual Meeting Abstract June 2022

Biomarkers of macular neovascularisation activity using optical coherence tomography angiography in treated stable neovascular age related macular degeneration

Daren Hanumunthadu; Konstantinos Balaskas; Daniela Florea; Pearse Andrew Keane; Adam M Dubis; Tariq Aslam; Praveen Patel

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2936 – F0089.

ARVO Annual Meeting Abstract June 2022

Structure/Function Correlations in USH2A - associated Usher Syndrome

Adam M Dubis; Ahmed M Hagag; Mustafa Arikan; Yen Ning Mau; Nawara Behzad; Watjana Lilaonitkul; Mariya Moosajee

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2576 – F0459.

ARVO Annual Meeting Abstract June 2022

Automatic detection of cone photoreceptors in the fovea using confocal AOSLO imaging

Mikhail Tsaritsyn; Alain Jacot-Guillarmod; Jelena Potic; Thomas Wolfensberger; Ciara Bergin; Mattia Tomasoni; Adam M Dubis

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):4554 – F0468.

ARVO Annual Meeting Abstract June 2022

Automatic Retinal Blood Velocity Estimation from XT Scans using Convolution Kernels

Mattia Tomasoni; Alain Jacot-Guillarmod; Jelena Potic; Thomas Wolfensberger; Adam M Dubis; Ciara Bergin

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):4553 – F0467.

ARVO Annual Meeting Abstract June 2021

Automated analysis of large vessel blood flow using AOSLO

Ines Zamoun; Sevim Ongun; Sarah Houston; John Greenwood; Adam Dubis

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1816.

ARVO Annual Meeting Abstract June 2021

Uncertainty-based Deep Active Learning for Retinal Layer Segmentation

Mustafa Arikan; Ferenc Sallo; Andrea Montesel; Hend M Ahmed; Ahmed M Hagag; Marius Book; Hendrik Faatz; Maria Vittoria Cicinelli; Adam Dubis; Watjana Lilaonitkul

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2554.

ARVO Annual Meeting Abstract June 2021

Democratizing Deep Learning Research Through Large Publicly Available Datasets and Tools

Adam M Dubis; Mustafa Arikan; Ferenc Sallo; Andrea Montesel; Ahmed M Hagag; Hend M Ahmed; Marius Book; Hendrik Faatz; Maria Cicinelli; Sevim Ongun; Amani A Fawzi; Watjana Lilaonitkul

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1809.

ARVO Annual Meeting Abstract June 2021

The Belfast Eye and Multiple Sclerosis Study

Stephanie Gemma McIlwaine; Lajos Csincsik; Rachel Coey; Luping Wang; Denise Fitzgerald; Jill Moffatt; Adam M Dubis; Tunde Peto; Imre Lengyel

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2402.

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Potential for Patient Benefit with AI Assisted Second Opinion for Treatment Planning in nAMD

Neural Style Transfer Improves Generalization of Cell Detection in Adaptive Optics Scanning Laser Ophthalmoscopy Imaging

Assessing photoreceptor damage and potential for rescue in neurodegenerative disease.

Development of an AI Second Opinion for treatment planning in nAMD

Invited Session III: Machine Learning and AI Approaches to Retinal Diagnostics: Towards more robust AI models in ophthalmology

Optical coherence tomography angiography markers of neovascularisation activity in treated wet age-related macular degeneration

Automated toolkit for Vascular Morphology and Pericyte Characteristics Analysis in Early Diabetic Retinopathy.

Deep Density Estimation for Cone Counting and Diagnosis of Genetic Eye Diseases From Adaptive Optics Scanning Light Ophthalmoscope Images

Detection of photoreceptor layer thinning prior to the presence of an EZ break in MacTel Type 2

Object detection on medical images with the aid of contrastive gated attention

Loss of Cone Outer-segments and Thickening of Photoreceptor Layers in Multiple Sclerosis: The Belfast Eye and Multiple Sclerosis Study

Normative database of cone photoreceptors in Confocal and Calculated-split Adaptive Optics Scanning Laser Ophthalmoscope images

Biomarkers of macular neovascularisation activity using optical coherence tomography angiography in treated stable neovascular age related macular degeneration

Structure/Function Correlations in USH2A - associated Usher Syndrome

Automatic detection of cone photoreceptors in the fovea using confocal AOSLO imaging

Automatic Retinal Blood Velocity Estimation from XT Scans using Convolution Kernels

Automated analysis of large vessel blood flow using AOSLO

Uncertainty-based Deep Active Learning for Retinal Layer Segmentation

Democratizing Deep Learning Research Through Large Publicly Available Datasets and Tools

The Belfast Eye and Multiple Sclerosis Study

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