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ARVO Annual Meeting Abstract June 2024

Evaluation of Faricimab binding affinity, chemical stability and sterility after compounding and storage in two different polypropylene syringes

Sebastian M Waldstein; Alexander Taschauer; Arthur Sedivy; Haider Sami; Daniel Egger; Reinhard Angermann; Claudia Wunder

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):231.

ARVO Annual Meeting Abstract June 2024

Photoreceptor-Retinal Pigment Epithelium Loss Ratio and Fundus Autofluorescence Patterns: Predicting Lesion Progression in Geographic Atrophy

Daniel Egger; Barbara Doll; Corinne Gonzalez; Philipp Ahmadzai; Katharina Heger; Barbara Reiter; Alessio Montuoro; Taffeta Ching Ning Yamaguchi; Marieh Esmaeelpour; Sebastian M Waldstein

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2292.

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.

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.

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.

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.

ARVO Annual Meeting Abstract July 2019

Fully-Automated Drusen Segmentation in OCT using Deep Learning with Pyramid U-net

Christoph Grechenig; Fatemeh Asgari; Bianca S Gerendas; Sebastian M Waldstein; Ferdinand Georg Schlanitz; Magdalena Baratsits; Hrvoje Bogunović; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1528.

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.

ARVO Annual Meeting Abstract July 2019

Topographic Analysis of IS/OS Impairment and Correlation With Fluid Markers in Wet AMD Using Deep Learning

Sophie Klimscha; Christoph Grechenig; Amir Sadeghipour; Eleonore Pablik; Sebastian M Waldstein; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1536.

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.

ARVO Annual Meeting Abstract July 2019

Fast and memory-efficient Just-Enough Interaction for retinal layer segmentation in OCT in layer-disrupting pathology

Kyungmoo Lee; Honghai Zhang; Zhihui Guo; Andreas Wahle; Hrvoje Bogunović; Sebastian M Waldstein; Bianca S Gerendas; Ursula Schmidt-Erfurth; Michael David Abramoff; Milan Sonka

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):155.

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.

ARVO Annual Meeting Abstract July 2019

Optimizing treat and extend regimens using artifical intelligence based on OCT imaging in the FLUID study

Jennifer Joan Arnold; Hrvoje Bogunović; Robyn H Guymer; Sebastian M Waldstein; Caroline Markey; Amir Sadeghipour; Bianca S Gerendas; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5190.

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.

ARVO Annual Meeting Abstract July 2018

Multi-layer OCT segmentation in the presence of layer-disrupting pathology: Just-Enough Interaction Approach

Milan Sonka; Kyungmoo Lee; Zhihui Guo; Honghai Zhang; Andreas Wahle; Sebastian M Waldstein; Bianca S Gerendas; Ursula Schmidt-Erfurth; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1677.

ARVO Annual Meeting Abstract July 2018

Unsupervised deep learning to identify markers in optical coherence tomography

Sebastian M Waldstein; Philipp Seeboeck; Rene Donner; Amir Sadeghipour; Georg Langs; Bianca S Gerendas; Aaron Osborne; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1736.

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.

ARVO Annual Meeting Abstract July 2018

Influence of posterior vitreous detachment on extendability of treat-and-extend anti-VEGF therapy in neovascular age-related macular degeneration

Sophie Klimscha; Léon Coulibaly; Amir Sadeghipour; Bianca S Gerendas; Sebastian M Waldstein; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):819.

ARVO Annual Meeting Abstract July 2018

Predicting visual acuity outcomes in nAMD, RVO and DME by machine learning

Amir Sadeghipour; Sebastian M Waldstein; Bianca S Gerendas; Aaron Osborne; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1738.

Retina July 2018

Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence

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Ursula Schmidt-Erfurth; Sebastian M. Waldstein; Sophie Klimscha; Amir Sadeghipour; Xiaofeng Hu; Bianca S. Gerendas; Aaron Osborne; Hrvoje Bogunović
TAGS: artificial intelligence, choroidal neovascularization, diagnostic imaging, drusen, eye, machine learning, retina, genetics, atrophy, biological markers
Invest. Ophthalmol. Vis. Sci.. 2018; 59(8):3199-3208. https://doi.org/10.1167/iovs.18-24106

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Evaluation of Faricimab binding affinity, chemical stability and sterility after compounding and storage in two different polypropylene syringes

Photoreceptor-Retinal Pigment Epithelium Loss Ratio and Fundus Autofluorescence Patterns: Predicting Lesion Progression in Geographic Atrophy

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

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

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

Fully-Automated Drusen Segmentation in OCT using Deep Learning with Pyramid U-net

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

Topographic Analysis of IS/OS Impairment and Correlation With Fluid Markers in Wet AMD Using Deep Learning

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

Fast and memory-efficient Just-Enough Interaction for retinal layer segmentation in OCT in layer-disrupting pathology

Deep learning identifies hyperreflective foci as predictors of geographic atrophy progression

Optimizing treat and extend regimens using artifical intelligence based on OCT imaging in the FLUID study

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

Multi-layer OCT segmentation in the presence of layer-disrupting pathology: Just-Enough Interaction Approach

Unsupervised deep learning to identify markers in optical coherence tomography

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

Influence of posterior vitreous detachment on extendability of treat-and-extend anti-VEGF therapy in neovascular age-related macular degeneration

Predicting visual acuity outcomes in nAMD, RVO and DME by machine learning

Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence

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