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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

Topographic distribution and progression of soft drusen in age-related macular degeneration (AMD) implicate foveal biology

Andreas Pollreisz; Gregor Sebastian Reiter; Hrvoje Bogunovic; Lukas Baumann; Astrid Jakob; Ferdinand Georg Schlanitz; Stefan Sacu; Christine Curcio; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2356. doi:

ARVO Annual Meeting Abstract June 2020

Deep learning-based automated fluid quantification in clinical routine OCT images in neovascular AMD

Bianca S S. Gerendas; Amir Sadeghipour; Martin Michl; Thomas Alten; Wolf Buehl; Stefan Sacu; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2359. doi:

ARVO Annual Meeting Abstract June 2020

Automated quantification of retinal fluid and its impact on treatment outcomes in the FLUID study

Christoph Grechenig; Jennifer Joan Arnold; Hrvoje Bogunovic; Robyn H Guymer; Amir Sadeghipour; Bianca S S. Gerendas; Gregor Sebastian Reiter; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3507. doi:

ARVO Annual Meeting Abstract June 2020

Automated detection of macular fluid and its change under anti-VEGF therapy

Martin Michl; Maria Fabianska; Amir Sadeghipour; Hrvoje Bogunovic; Sebastian M Waldstein; Bianca S S. Gerendas; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5192. doi:

ARVO Annual Meeting Abstract June 2020

Detection of retinal fluids in OCT scans by an automated deep learning algorithm compared to human expert grading in the HAWK & HARRIER trials

Hrvoje Bogunovic; John Seaman; Philippe Margaron; Philipp Seeböck; Bianca S S. Gerendas; Daniel Lorand; Guillaume Normand; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5187. doi:

ARVO Annual Meeting Abstract June 2020

A comparison of the therapeutic response between brolucizumab and aflibercept in the HAWK & HARRIER trials using deep learning-based OCT analysis

Ursula Schmidt-Erfurth; Zufar Mulyukov; Bianca S S. Gerendas; Philippe Margaron; Daniel Lorand; Hrvoje Bogunovic; Georges Weissgerber

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1159. 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 June 2020

Weakly Supervised Segmentation of Geographic Atrophy on SD-OCT scans

Dmitrii Lachinov; Christoph Grechenig; Magdalena Baratsits; Stefan Sacu; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2036. doi:

ARVO Annual Meeting Abstract July 2019

Retinal Sensitivity in non-exudative Age-Related Macular Degeneration: Longitidunal analyses using validated automated algorithms

Magdalena Baratsits; Ferdinand Georg Schlanitz; Stefan Sacu; Hrvoje Bogunovic; Lorenz Wassermann; Felix Datlinger; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1204. doi:

ARVO Annual Meeting Abstract July 2019

Drusen Regression and morphologic retinal characteristics in the course of early to intermediate AMD

Ferdinand Georg Schlanitz; Magdalena Baratsits; Stefan Sacu; Eleonore Pablik; Hrvoje Bogunovic; Gregor Sebastian Reiter; Markus Schranz; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1354. doi:

ARVO Annual Meeting Abstract July 2019

Deep learning identifies hyperreflective foci as predictors of geographic atrophy progression

Ursula Schmidt-Erfurth; Sebastian M Waldstein; Christoph Grechenig; Gregor Sebastian Reiter; Magdalena Baratsits; Patricia Bui; Maria Fabianska; Mustafa Arikan; Amir Sadeghipour; Hrvoje Bogunovic

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4222. 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:

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:

Retina May 2019

Impact of Drusen Volume on Quantitative Fundus Autofluorescence in Early and Intermediate Age-Related Macular Degeneration

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Gregor Sebastian Reiter; Reinhard Told; Ferdinand Georg Schlanitz; Hrvoje Bogunovic; Lukas Baumann; Stefan Sacu; Ursula Schmidt-Erfurth; Andreas Pollreisz
TAGS: age-related macular degeneration, drusen, fundus autofluorescence imaging, volume
Invest. Ophthalmol. Vis. Sci.. 2019; 60(6):1937-1942. doi: https://doi.org/10.1167/iovs.19-26566

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:

ARVO Annual Meeting Abstract July 2018

Artificial intelligence to predict optimal retreatment intervals in treat-and-extend (T&E)

Hrvoje Bogunovic; Sebastian M Waldstein; Amir Sadeghipour; Bianca S Gerendas; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1620. doi:

ARVO Annual Meeting Abstract July 2018

Drusen volume development and progression towards advanced AMD

Ferdinand Georg Schlanitz; Magdalena Baratsits; Stefan Sacu; Hrvoje Bogunovic; Alexandra Stephanie Weinhandl; Astrid Jakob; Maria Karantonis; Gregor Sebastian Reiter; Reinhard Told; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4483. doi:

ARVO Annual Meeting Abstract July 2018

Longitudinal impact of drusen volume on quantitative fundus autofluorescence in patients with early and intermediate age-related macular degeneration

Gregor Sebastian Reiter; Reinhard Told; Andreas Pollreisz; Ferdinand Georg Schlanitz; Hrvoje Bogunovic; Lukas Baumann; Stefan Sacu; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4485. doi:

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

Topographic distribution and progression of soft drusen in age-related macular degeneration (AMD) implicate foveal biology

Deep learning-based automated fluid quantification in clinical routine OCT images in neovascular AMD

Automated quantification of retinal fluid and its impact on treatment outcomes in the FLUID study

Automated detection of macular fluid and its change under anti-VEGF therapy

Detection of retinal fluids in OCT scans by an automated deep learning algorithm compared to human expert grading in the HAWK & HARRIER trials

A comparison of the therapeutic response between brolucizumab and aflibercept in the HAWK & HARRIER trials using deep learning-based OCT analysis

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

Weakly Supervised Segmentation of Geographic Atrophy on SD-OCT scans

Retinal Sensitivity in non-exudative Age-Related Macular Degeneration: Longitidunal analyses using validated automated algorithms

Drusen Regression and morphologic retinal characteristics in the course of early to intermediate AMD

Deep learning identifies hyperreflective foci as predictors of geographic atrophy progression

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

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

Impact of Drusen Volume on Quantitative Fundus Autofluorescence in Early and Intermediate Age-Related Macular Degeneration

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

Artificial intelligence to predict optimal retreatment intervals in treat-and-extend (T&E)

Drusen volume development and progression towards advanced AMD

Longitudinal impact of drusen volume on quantitative fundus autofluorescence in patients with early and intermediate age-related macular degeneration

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