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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

Association of microvascular biomarkers in fluorescein angiography with macrovascular-related mortality in clinical routine data

Felix Goldbach; Georgios Mylonas; Martin Riegelnegg; Jonas Brugger; Bianca S S. Gerendas; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5317. doi:

ARVO Annual Meeting Abstract July 2019

Microvascular abnormalities, retinal thickness changes and long-term efficacy after stereotactic radiotherapy under continued intravitreal anti-VEGF treatment for neovascular AMD

Katja Hatz; Frank Zimmermann; Emmanouil Lazaridis; Dimitrios Kardamakis; Magdalena Guichard; Cengiz Tuerksever; Christian Pruente; Ursula Schmidt-Erfurth; Bianca S Gerendas

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1154. doi:

ARVO Annual Meeting Abstract July 2019

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

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1711. doi:

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. doi:

ARVO Annual Meeting Abstract July 2019

FDA-authorized autonomous AI for diabetic retinopathy screening in clinical routine

Bianca S Gerendas; Martina Neschi; Martin Michl; Lupyr Kostiantyn; Gabor Gy Deak; Yvonne Winhofer; Alexandra Kautzky-Willer; Michael David Abramoff; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4776. doi:

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. doi:

ARVO Annual Meeting Abstract July 2019

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

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2197. 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

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. doi:

Retina May 2019

Intravitreal Fluocinolone Acetonide May Decelerate Diabetic Retinal Neurodegeneration

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Stephanie K. Lynch; Kyungmoo Lee; Zhi Chen; James C. Folk; Ursula Schmidt-Erfurth; Bianca S. Gerendas; Andreas Wahle; Charles C. Wykoff; Michael D. Abràmoff
TAGS: cyclophosphamide/doxorubicin/fluorouracil protocol, diabetes mellitus, fluocinolone acetonide, left ventricular area fractional change, nerve degeneration, right ventricular fractional area change
Invest. Ophthalmol. Vis. Sci.. 2019; 60(6):2134-2139. doi: https://doi.org/10.1167/iovs.18-24643

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. doi:

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. 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

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. doi:

ARVO Annual Meeting Abstract July 2018

Real World Vienna: The VIBES Study - Outcomes and procedures in neovascular AMD

Bianca S Gerendas; Amir Sadeghipour; Wolf Buehl; Stefan Sacu; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1621. doi:

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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

Association of microvascular biomarkers in fluorescein angiography with macrovascular-related mortality in clinical routine data

Microvascular abnormalities, retinal thickness changes and long-term efficacy after stereotactic radiotherapy under continued intravitreal anti-VEGF treatment for neovascular AMD

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

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

FDA-authorized autonomous AI for diabetic retinopathy screening in clinical routine

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

Imageability and Registration of Multimodal Imaging using Machine Learning

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

Intravitreal Fluocinolone Acetonide May Decelerate Diabetic Retinal Neurodegeneration

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

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

Real World Vienna: The VIBES Study - Outcomes and procedures in neovascular AMD

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