ARVO 2019 Presentations

Artificial intelligence-quantified hyperreflective foci predict enlargement of geographic atrophy

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

 


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

Sebastian Waldstein, Wolf-Dieter Vogl, Hrvoje Bogunovic, Amir Sadeghipour, Sophie Klimscha, Aaron Osborne, Ursula Schmidt-Erfurth

 

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Imageability and Registration of Multimodal Imaging using Machine Learning

Amir Sadeghipour, Mustafa Arikan, Omar Ismail, Michael König, Burak Baltali, Bianca S. Gerendas, Ursula Schmidt-Erfurth

 

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Central retinal thickness is the principal determinant of visual function in retinal vein occlusion

Martin Michl, Xuhui Liu, Alexandra Kaider, Amir Sadeghipour, Bianca S. Gerendas, Ursula Schmidt-Erfurth

 

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

Wolf-Dieter Vogl, Sebastian Waldstein, Hrvoje Bogunovic, Amir Sadeghipour, Sophie Klimscha, Aaron Osborne, Ursula Schmidt-Erfurth

 

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

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

 

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

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

 

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ARVO 2019 Posters

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

 

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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

 

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

Christoph Grechenig*, Fatemeh Asgari*, Bianca S. Gerendas, Sebastian M. Waldstein, Ferdinand G. Schlanitz, Magdalena Baratsits, Hrvoje Bogunovic, Ursula Schmidt-Erfurth

 * contributed equally

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Local retinal morphology prior to the onset of neovascular 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, UrsulaSchmidt-Erfurth

 

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