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Meeting Abstract (4)
Journal Articles (1)

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Investigative Ophthalmology & Visual Science (5)

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ARVO Annual Meeting Abstract (3)
ARVO Imaging in the Eye Conference Abstract (1)
Retina (1)

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Eye Anatomy and Disorders (1)
Imaging (1)
Multidisciplinary Ophthalmic Imaging (1)
Retina (1)

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color (1)
datasets (1)
deep learning (1)
diabetes mellitus (1)
fundus photography (1)
macular edema, diabetic (1)

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ARVO Imaging in the Eye Conference Abstract August 2019

Deep learning algorithm to predict diabetic retinopathy (DR) progression on the individual patient level

Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; Jeffrey Willis; Marco Prunotto; Zdenka Haskova

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB093. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Deep learning predicts OCT measures of diabetic macular thickening from color fundus photographs

Jeffrey Ryuta Willis; Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; John Michon; Zdenka Haskova; Dana McClintock; Anthony P Adamis; Marco Prunotto

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1538. doi: https://doi.org/

ARVO Annual Meeting Abstract July 2019

Deep learning algorithm for patient-level prediction of diabetic retinopathy (DR) response to vascular endothelial growth factor (VEGF) inhibition

Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; Jeffrey Ryuta Willis; Marco Prunotto; Zdenka Haskova

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2806. doi: https://doi.org/

Retina March 2019

Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs

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Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; John Michon; Zdenka Haskova; Dana McClintock; Anthony P. Adamis; Jeffrey R. Willis; Marco Prunotto
TAGS: diabetes mellitus, color, fundus photography, macular edema, diabetic, datasets, deep learning
Invest. Ophthalmol. Vis. Sci.. 2019; 60(4):852-857. doi: https://doi.org/10.1167/iovs.18-25634

Includes: Supplemental Content

ARVO Annual Meeting Abstract September 2016

Validation of pluripotent stem cell derived RPE (scRPE) as a pure and renewable source for disease modeling and assay development

Ulrich F O Luhmann; Sonja Schlicht; Faye M Drawnel; Silke Zimmermann; Carolin Willburger; Claire Hippert; Verena Küppers; Jean-Baptiste Vallier; Jean-Philippe Carralot; Marco Prunotto; Mark Burcin

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):257. doi: https://doi.org/

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Online ISSN: 1552-5783

Investigative Ophthalmology & Visual Science
Journal of Vision
Translational Vision Science & Technology

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Copyright © 2015 Association for Research in Vision and Ophthalmology.

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