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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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

ARVO Annual Meeting Abstract June 2021

Usability of AdaptDx for Dark Adaptation Testing in Choroideremia

Hend M Ahmed; Jasleen K Jolly; Lyndon Da Cruz; Adam M Dubis; Robert E. MacLaren

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2294. doi:

ARVO Annual Meeting Abstract June 2020

Assessing Residual Photoreceptor Morphology in Choroideremia

Adam M Dubis; Jasleen Kaur Jolly; Lyndon daCruz; Mariya Moosajee; Robert E MacLaren

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):819. doi:

ARVO Annual Meeting Abstract June 2020

Developing community based diabetic referral service using deep learning on hand held, non-mydriatic fundus images.

Joan M. M. Nunez Do Rio; Adam M Dubis; Ahmed M Hagag; Rajiv Raman; Sobha Sivaprasad; Christos Bergeles

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2035. doi:

Clinical and Epidemiologic Research October 2019

Optical Coherence Tomography Findings After Childhood Lensectomy

PDF

Moritz C. Daniel; Adam M. Dubis; Becky MacPhee; Patricia Ibanez; Gillian Adams; John Brookes; Maria Papadopoulos; Peng T. Khaw; Maria Theodorou; Annegret H. Dahlmann-Noor
TAGS: child, eye, optical coherence tomography
Invest. Ophthalmol. Vis. Sci.. 2019; 60(13):4388-4396. doi: https://doi.org/10.1167/iovs.19-26806

Includes: Supplemental Content

ARVO Annual Meeting Abstract July 2019

Variable nonsense mediated decay in choroideremia patients points to a prognostic indicator for nonsense suppression therapy

Mariya Moosajee; Andreas Mitsios; Vasiliki Kalatzis; Peter J Coffey; Adam M Dubis; Andrew Webster; Hajrah Sarkar

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3249. doi:

ARVO Annual Meeting Abstract July 2019

Blue-light reflectance imaging in macular telangiectasia type 2 (MacTel) using two different SLO systems.

Ferenc B Sallo; Vincent Rocco; Irene Leung; Adam M Dubis; Ute EK Wolf-Schnurrbusch; Catherine A Egan; Tunde Peto; Traci E Clemons; Daniel Pauleikhoff; Emily Y Chew; Alan C Bird

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5049. doi:

ARVO Annual Meeting Abstract July 2019

Assessing relationship between vascular integrity and macular sensitivity in patients with Usher Syndrome

Ahmed M Hagag; Andreas Mitsios; Jasdeep Gill; Alessandro Abbouda; Vasilios Theofylaktopoulos; Joan Nunez Do Rio; Sarah Houston; Adam M Dubis; Mariya Moosajee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5171. doi:

ARVO Annual Meeting Abstract July 2019

Longitudinal phenotypic comparison of syndromic and non-syndromic RP in USH2A -associated retinopathy

Adam M Dubis; Yun Lin Ang; Andreas Mitsios; Jasdeep Gill; Andrew Webster; Mariya Moosajee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5172. doi:

Retina February 2019

Deep Learning for Prediction of AMD Progression: A Pilot Study

PDF

Daniel B. Russakoff; Ali Lamin; Jonathan D. Oakley; Adam M. Dubis; Sobha Sivaprasad
TAGS: deep learning, pilot projects
Invest. Ophthalmol. Vis. Sci.. 2019; 60(2):712-722. doi: https://doi.org/10.1167/iovs.18-25325

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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

Uncertainty-based Deep Active Learning for Retinal Layer Segmentation

Automated analysis of large vessel blood flow using AOSLO

Democratizing Deep Learning Research Through Large Publicly Available Datasets and Tools

The Belfast Eye and Multiple Sclerosis Study

Usability of AdaptDx for Dark Adaptation Testing in Choroideremia

Assessing Residual Photoreceptor Morphology in Choroideremia

Developing community based diabetic referral service using deep learning on hand held, non-mydriatic fundus images.

Optical Coherence Tomography Findings After Childhood Lensectomy

Variable nonsense mediated decay in choroideremia patients points to a prognostic indicator for nonsense suppression therapy

Blue-light reflectance imaging in macular telangiectasia type 2 (MacTel) using two different SLO systems.

Assessing relationship between vascular integrity and macular sensitivity in patients with Usher Syndrome

Longitudinal phenotypic comparison of syndromic and non-syndromic RP in USH2A -associated retinopathy

Deep Learning for Prediction of AMD Progression: A Pilot Study

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