Search | IOVS | ARVO Journals

Showing 1 – 20 of 82

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

ARVO Annual Meeting Abstract June 2022

Comparison of diabetic retinopathy severity scores and landmark measurements from ultra-widefield cameras to the gold standard of 7-field color fundus photography

Bianca S Gerendas; Anastasia Matakova; Felix Goldbach; Astrid Jakob; Jonas Brugger; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1012 – F0259. doi:

ARVO Annual Meeting Abstract June 2022

Comparison of a human versus deep learning-based evaluation of fluid change in real-world OCT images of neovascular AMD

Martin Michl; Bianca S Gerendas; Philipp Seeböck; Elisa de Llano; Anastasiia Gruber; Felix Goldbach; Georgios Mylonas; Oliver Leingang; Wolf Bühl; Stefan Sacu; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3354 – F0163. doi:

ARVO Annual Meeting Abstract June 2022

The RAP study, Report 6: Quantification of exudative biomarkers in neovascular age-related macular degeneration (nAMD) using deep learning, a type-based comparative analysis.

Bilal Haj Najeeb; Bianca S Gerendas; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3861. doi:

ARVO Annual Meeting Abstract June 2022

Personalized treatment interval (PTI) dosing dynamics over 2 years in the phase 3 YOSEMITE and RHINE trials of faricimab in diabetic macular edema

Caroline R Baumal; John Kitchens; Glenn Jaffe; Bianca S Gerendas; Francis Abreu; Kemal Asik; Acner Camino; Nitin Jain; Zdenka Haskova

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3851. doi:

ARVO Annual Meeting Abstract June 2021

Deep learning-based automated fluid quantification in clinical routine OCT images in neovascular AMD over 5 years

Bianca S Gerendas; Amir Sadeghipour; Martin Michl; Felix Goldbach; Georgios Mylonas; Thomas Alten; Oliver Leingang; Stefan Sacu; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):122. doi:

ARVO Annual Meeting Abstract June 2021

Impact of Residual Subretinal Fluid Volumes on Treatment Outcomes in a SRF-tolerant Treat & Extend Regimen

Christoph Grechenig; Gregor Sebastian Reiter; Sophie Riedl; Jennifer Arnold; Robyn H Guymer; Bianca S Gerendas; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):104. doi:

ARVO Annual Meeting Abstract June 2021

Impact of baseline vitreomacular interface status on the treatment choice between aflibercept, bevacizumab or ranibizumab for diabetic macular edema

Felix Goldbach; Georgios Mylonas; Bilal Haj Najeeb; Gabor Deak; Martin Michl; Jonas Brugger; Bianca S Gerendas; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1040. doi:

ARVO Annual Meeting Abstract June 2021

Quantifying the clinical evaluation of retinal fluid change in real-world OCT images using deep learning

Martin Michl; Felix Goldbach; Georgios Mylonas; Gabor Deak; Thomas Alten; Stefan Sacu; Hrvoje Bogunovic; Bianca S Gerendas; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2455. doi:

ARVO Annual Meeting Abstract June 2021

The RAP study, Report 4: Discoloration of the macular region in patients with macular neovascularization type 3

Bilal Haj Najeeb; Gabor Deak; Ursula Schmidt-Erfurth; Bianca S Gerendas

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):340. 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

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

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

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:

1 2 3 4 5

Next 20 Results »

NARROW

Content Type

Journal

Article Type

Topics

Tags

Filters

Specify Date Range

Comparison of diabetic retinopathy severity scores and landmark measurements from ultra-widefield cameras to the gold standard of 7-field color fundus photography

Comparison of a human versus deep learning-based evaluation of fluid change in real-world OCT images of neovascular AMD

The RAP study, Report 6: Quantification of exudative biomarkers in neovascular age-related macular degeneration (nAMD) using deep learning, a type-based comparative analysis.

Personalized treatment interval (PTI) dosing dynamics over 2 years in the phase 3 YOSEMITE and RHINE trials of faricimab in diabetic macular edema

Deep learning-based automated fluid quantification in clinical routine OCT images in neovascular AMD over 5 years

Impact of Residual Subretinal Fluid Volumes on Treatment Outcomes in a SRF-tolerant Treat & Extend Regimen

Impact of baseline vitreomacular interface status on the treatment choice between aflibercept, bevacizumab or ranibizumab for diabetic macular edema

Quantifying the clinical evaluation of retinal fluid change in real-world OCT images using deep learning

The RAP study, Report 4: Discoloration of the macular region in patients with macular neovascularization type 3

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

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

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

To View More...

You must be signed into an individual account to use this feature.