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ARVO Annual Meeting Abstract June 2024

Insights into cardiovascular disorders (CVD) risk in patients with paracentral acute middle maculopathy (PAMM)

Celeste Limoli; Laxmi Raja; Siegfried Wagner; Stela Vujosevic; Paolo Nucci; Hagar Khalid; Pearse Andrew Keane; Josef Christian Huemer

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1733.

ARVO Annual Meeting Abstract June 2024

Increasing Stroke Risk Correlated with Higher Reticular Pseudodrusen Counts: Evidence from the UK Biobank

Roy Schwartz; Abraham Olvera-Barrios; Alasdair N Warwick; Hagar Khalid; Sumita Phatak; Mahima Jhingan; Coen De Vente; Philippe Valmaggia; Clarisa Sanchez; Catherine A Egan; Adnan Tufail

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1344.

ARVO Annual Meeting Abstract June 2024

Demographic and Phenotypic Analysis of Acute Macular Neuroretinopathy: Insights from a Large Single-Center Retrospective Cohort Study

Hagar Khalid; Celeste Limoli; Laxmi Raja; Siegfried Wagner; Stela Vujosevic; Paolo Nucci; Josef Christian Huemer; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5505.

ARVO Annual Meeting Abstract June 2023

Paracentral acute middle maculopathy(PAMM): clinical characteristics, risk factors, and prognostic outcomes

Celeste Limoli; Laxmi Raja; Siegfried Wagner; Hagar Khalid; Stela Vujosevic; Paolo Nucci; Pearse Keane; Josef Christian Huemer

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):3664.

Artificial Intelligence December 2022

A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography

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Roy Schwartz; Hagar Khalid; Sandra Liakopoulos; Yanling Ouyang; Coen de Vente; Cristina González-Gonzalo; Aaron Y. Lee; Robyn Guymer; Emily Y. Chew; Catherine Egan; Zhichao Wu; Himeesh Kumar; Joseph Farrington; Philipp L. Müller; Clara I. Sánchez; Adnan Tufail
TAGS: deep learning, drusen, reticular pseudodrusen, optical coherence tomography
Trans. Vis. Sci. Tech.. 2022; 11(12):3. https://doi.org/10.1167/tvst.11.12.3

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2022

Incident cardiovascular events following paracentral acute middle maculopathy

Hagar Khalid; Siegfried Wagner; Laxmi Raja; Josef Huemer; Daniel Ferraz; Konstantinos Balaskas; Dawn Sim; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1750 – F0210.

ARVO Annual Meeting Abstract June 2022

A deep learning pipeline for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography

Roy Schwartz; Hagar Khalid; Sandra Liakopoulos; Yanling Ouyang; Coen de Vente; Cristina González Gonzalo; Aaron Y Lee; Catherine A Egan; Clara Sánchez; Adnan Tufail

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3856.

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 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.

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

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.

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.

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

One-year outcome of intravitreal Bevacizumab on eyes with choroidal neovascularization secondary to central serous chorioretinopathy

Ahmed M Hagag; Shruti Chandra; Hagar Khalid; Ali Lamin; Pearse Andrew Keane; Sobha Sivaprasad

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1072.

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.

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.

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

Phenotypic Characterization of Choroidal Neovascularization in Pachychoroid Spectrum Using Multi-modal Imaging

Hagar Khalid; Josef Christian Huemer; Shruti Chandra; Luke Nicholson; Siegfried Wagner; Daniel Ferraz; Farid Afshar; Katrin Fasler; Konstantinos Balaskas; Sobha Sivaprasad; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3235.

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

Optical Coherence Tomography Angiography for Evaluation of Foveal Neovascularization, a Case Series

Pakinee Pooprasert; Philip Wright; Hagar Khalid; Thomas Moloney; Catherine A Egan; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4447.

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Insights into cardiovascular disorders (CVD) risk in patients with paracentral acute middle maculopathy (PAMM)

Increasing Stroke Risk Correlated with Higher Reticular Pseudodrusen Counts: Evidence from the UK Biobank

Demographic and Phenotypic Analysis of Acute Macular Neuroretinopathy: Insights from a Large Single-Center Retrospective Cohort Study

Paracentral acute middle maculopathy(PAMM): clinical characteristics, risk factors, and prognostic outcomes

A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography

Incident cardiovascular events following paracentral acute middle maculopathy

A deep learning pipeline for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography

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

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

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

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

One-year outcome of intravitreal Bevacizumab on eyes with choroidal neovascularization secondary to central serous chorioretinopathy

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

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

Phenotypic Characterization of Choroidal Neovascularization in Pachychoroid Spectrum Using Multi-modal Imaging

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

Optical Coherence Tomography Angiography for Evaluation of Foveal Neovascularization, a Case Series

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