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ARVO Annual Meeting Abstract June 2021

AI-based quantification of photoreceptor maintenance in the treatment of Geographic Atrophy Secondary to AMD in the FILLY trial

Ursula Schmidt-Erfurth; Julia Mai; Gregor Sebastian Reiter; Sophie Riedl; Dmitrii Lachinov; Wolf-Dieter Vogl; Hrvoje Bogunovic

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):236. doi:

ARVO Annual Meeting Abstract June 2021

Topographic Effects on AI-Quantified Regional Progression in the FILLY Trial of Pegcetacoplan (APL-2) for Treatment of Geographic Atrophy Secondary to AMD

Wolf-Dieter Vogl; Hrvoje Bogunovic; Julia Mai; Gregor Sebastian Reiter; Sophie Riedl; Dmitrii Lachinov; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):128. doi:

ARVO Annual Meeting Abstract June 2021

SD-OCT based analysis of treatment effects on Geographic Atrophy secondary to AMD in the FILLY trial of Pegcetacoplan

Julia Mai; Sophie Riedl; Gregor Sebastian Reiter; Dmitrii Lachinov; Wolf-Dieter Vogl; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):238. doi:

ARVO Annual Meeting Abstract June 2021

Topographic conversion model of outer retinal atrophy progression in intermediate age-related macular degeneration using deep learning

Antoine Rivail; Gregor Sebastian Reiter; Sophie Riedl; Julia Mai; Wolf-Dieter Vogl; Christoph Grechenig; Zhichao Wu; Robyn H Guymer; Ursula Schmidt-Erfurth; Hrvoje Bogunovic

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):130. doi:

ARVO Annual Meeting Abstract June 2021

Predictive Identification of the Fastest Progressing Geographic Atrophy Lesions based on Deep Learning in the Phase 2 FILLY clinical trial of Pegcetacoplan

Hrvoje Bogunovic; Dmitrii Lachinov; Julia Mai; Gregor Sebastian Reiter; Sophie Riedl; Wolf-Dieter Vogl; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):129. doi:

ARVO Annual Meeting Abstract June 2021

Identification of initial events leading to outer retinal atrophy in age-related macular degeneration using deep learning quantifications

Gregor Sebastian Reiter; Sophie Riedl; Antoine Rivail; Julia Mai; Wolf-Dieter Vogl; Christoph Grechenig; Zhichao Wu; Robyn H Guymer; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):121. doi:

ARVO Annual Meeting Abstract June 2021

Correlation of AI-quantified retinal morphology with topographic function in neovascular AMD

Sophie Riedl; Markus Schranz; Oliver Leingang; Gregor Sebastian Reiter; Christoph Grechenig; Wolf-Dieter Vogl; Mustafa Arikan; Philipp Ken Roberts; Irene Steiner; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):105. doi:

ARVO Annual Meeting Abstract June 2021

Does retinal fluid correlate with OCTA characteristics of choroidal neovascular membranes?

Markus Schranz; Reinhard Told; Valentin Hacker; Philipp Ken Roberts; Gregor Sebastian Reiter; Adrian Reumueller; Wolf-Dieter Vogl; Hrvoje Bogunovic; Stefan Sacu; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):99. doi:

ARVO Annual Meeting Abstract June 2021

Monitoring GA lesion size on OCT using automated deep learning-based image segmentation in the FILLY phase II clinical trial

Dmitrii Lachinov; Julia Mai; Gregor Sebastian Reiter; Sophie Riedl; Wolf-Dieter Vogl; Ursula Schmidt-Erfurth; Hrvoje Bogunovic

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):239. doi:

ARVO Annual Meeting Abstract June 2020

The Impact of Drusen on Retinal Sensitivity in non-exudative Age-Related Macular Degeneration: A point-to-point Analysis

Ferdinand Georg Schlanitz; Hrvoje Bogunovic; Wolf-Dieter Vogl; Philipp Seeböck; Magdalena Baratsits; Stefan Sacu; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1822. doi:

ARVO Annual Meeting Abstract June 2020

Fluid Persistence and its Impact on BCVA Development During the Treatment of Neovascular AMD

Sophie Riedl; Wolf-Dieter Vogl; Sebastian M Waldstein; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3505. doi:

ARVO Annual Meeting Abstract July 2019

Signs of conversion in intermediate AMD quantified by deep learning on a population level

Sebastian M Waldstein; Wolf-Dieter Vogl; Hrvoje Bogunović; Amir Sadeghipour; Sophie Klimscha; Aaron Osborne; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1357. doi:

ARVO Annual Meeting Abstract July 2019

Linking Function and Structure: Prediction of Retinal Sensitivity in AMD from OCT using Deep Learning

Philipp Seeböck; Wolf-Dieter Vogl; Sebastian M Waldstein; Magdalena Baratsits; José Ignacio Orlando; Thomas Alten; Hrvoje Bogunovic; Mustafa Arikan; Georgios Mylonas; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1534. doi:

ARVO Annual Meeting Abstract July 2019

Prediction of disease conversion in intermediate AMD from longitudinal OCT using self-supervised deep learning

Antoine Rivail; Wolf-Dieter Vogl; Ferdinand Georg Schlanitz; Magdalena Baratsits; Ursula Schmidt-Erfurth; Hrvoje Bogunovic

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1355. doi:

ARVO Annual Meeting Abstract July 2019

Towards a normative spatio-temporal atlas of disease progression in intermediate AMD

Wolf-Dieter Vogl; Sebastian M Waldstein; Hrvoje Bogunović; Amir Sadeghipour; Sophie Klimscha; Aaron Osborne; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1356. doi:

ARVO Annual Meeting Abstract July 2019

Local retinal morphology prior to the onset of advanced AMD: A topographic analysis using machine learning

Hrvoje Bogunovic; Sebastian M Waldstein; Wolf-Dieter Vogl; Sophie Klimscha; Amir Sadeghipour; Christoph Grechenig; Bianca S Gerendas; Aaron Osborne; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):3490. doi:

Multidisciplinary Ophthalmic Imaging December 2018

Dynamic Changes of Retinal Microaneurysms in Diabetes Imaged With In Vivo Adaptive Optics Optical Coherence Tomography

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Julia Hafner; Matthias Salas; Christoph Scholda; Wolf-Dieter Vogl; Wolfgang Drexler; Ursula Schmidt-Erfurth; Michael Pircher; Sonja Karst
TAGS: diabetes mellitus, diabetes mellitus, type 2, diagnostic imaging, macrophage activation syndrome, meconium aspiration syndrome, optical coherence tomography, optics, retinal microaneurysm, follow-up, face
Invest. Ophthalmol. Vis. Sci.. 2018; 59(15):5932-5940. doi: https://doi.org/10.1167/iovs.18-24573

Includes: Multimedia, Supplemental Content

ARVO Annual Meeting Abstract July 2018

Automated identification of disease activity and therapeutic response in neovascular AMD by deep learning

Ursula Schmidt-Erfurth; Wolf-Dieter Vogl; Sebastian M Waldstein; Bianca S Gerendas; Thomas Schlegl; Hrvoje Bogunovic

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2623. doi:

Multidisciplinary Ophthalmic Imaging August 2017

Analyzing and Predicting Visual Acuity Outcomes of Anti-VEGF Therapy by a Longitudinal Mixed Effects Model of Imaging and Clinical Data

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Wolf-Dieter Vogl; Sebastian M. Waldstein; Bianca S. Gerendas; Thomas Schlegl; Georg Langs; Ursula Schmidt-Erfurth
TAGS: anti-vascular endothelial growth factor therapy, diagnostic imaging, visual acuity
Invest. Ophthalmol. Vis. Sci.. 2017; 58(10):4173-4181. doi: https://doi.org/10.1167/iovs.17-21878

ARVO Annual Meeting Abstract September 2016

Predicting future visual acuity outcomes from early morphologic and functional response in anti-VEGF treated retinal vein occlusion.

Wolf-Dieter Vogl; Sebastian M Waldstein; Bianca Gerendas; Thomas Schlegl; Jing Wu; Dominika Podkowinski; Ursula Schmidt-Erfurth; Georg Langs

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):3397. doi:

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AI-based quantification of photoreceptor maintenance in the treatment of Geographic Atrophy Secondary to AMD in the FILLY trial

Topographic Effects on AI-Quantified Regional Progression in the FILLY Trial of Pegcetacoplan (APL-2) for Treatment of Geographic Atrophy Secondary to AMD

SD-OCT based analysis of treatment effects on Geographic Atrophy secondary to AMD in the FILLY trial of Pegcetacoplan

Topographic conversion model of outer retinal atrophy progression in intermediate age-related macular degeneration using deep learning

Predictive Identification of the Fastest Progressing Geographic Atrophy Lesions based on Deep Learning in the Phase 2 FILLY clinical trial of Pegcetacoplan

Identification of initial events leading to outer retinal atrophy in age-related macular degeneration using deep learning quantifications

Correlation of AI-quantified retinal morphology with topographic function in neovascular AMD

Does retinal fluid correlate with OCTA characteristics of choroidal neovascular membranes?

Monitoring GA lesion size on OCT using automated deep learning-based image segmentation in the FILLY phase II clinical trial

The Impact of Drusen on Retinal Sensitivity in non-exudative Age-Related Macular Degeneration: A point-to-point Analysis

Fluid Persistence and its Impact on BCVA Development During the Treatment of Neovascular AMD

Signs of conversion in intermediate AMD quantified by deep learning on a population level

Linking Function and Structure: Prediction of Retinal Sensitivity in AMD from OCT using Deep Learning

Prediction of disease conversion in intermediate AMD from longitudinal OCT using self-supervised deep learning

Towards a normative spatio-temporal atlas of disease progression in intermediate AMD

Local retinal morphology prior to the onset of advanced AMD: A topographic analysis using machine learning

Dynamic Changes of Retinal Microaneurysms in Diabetes Imaged With In Vivo Adaptive Optics Optical Coherence Tomography

Automated identification of disease activity and therapeutic response in neovascular AMD by deep learning

Analyzing and Predicting Visual Acuity Outcomes of Anti-VEGF Therapy by a Longitudinal Mixed Effects Model of Imaging and Clinical Data

Predicting future visual acuity outcomes from early morphologic and functional response in anti-VEGF treated retinal vein occlusion.

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