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Meeting Abstract (7)
Journal Articles (1)

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Investigative Ophthalmology & Visual Science (8)

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ARVO Annual Meeting Abstract (4)
ARVO Imaging in the Eye Conference Abstract (3)
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 July 2020

Development and External Validation of a Machine Learning Model for Predicting Response to anti-VEGF Treatment in Patients with neovascular AMD

Ian Lloyd Jones; Andreas Maunz; Thomas Albrecht; Huanxiang Lu; Yvonna Li; Fethallah Benmansour; Jayashree Nair Sahni; Martin Gliem

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PP007. doi:

ARVO Annual Meeting Abstract June 2020

Diagnostic accuracy of a machine-learning algorithm to detect and classify choroidal neovascularization based on SD-OCT in neovascular age-related macular degeneration (nAMD)

Andreas Maunz; Fethallah Benmansour; Yun Li; Thomas Albrecht; Yan-Ping Zhang; Filippo Arcadu; Yalin Zheng; Savita Madhusudhan; Jayashree Sahni

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2649. doi:

ARVO Annual Meeting Abstract June 2020

Accurately Identify nAMD Patients with Low Anti-VEGF Treatment Need by Deep Learning

Jian Dai; Andreas Thalhammer; Michael Kawczynski; Neha Anegondi; Xiaoyong Wang; Andreas Maunz; Thomas Bengtsson; Simon S. Gao; Jeffrey Willis

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4218. doi:

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:

ARVO Imaging in the Eye Conference Abstract August 2019

A machine learning approach to predict response to anti-VEGF treatment in patients with neovascular age-related macular degeneration using SD-OCT

Jayashree Nair Sahni; Andreas Maunz; Filippo Arcadu; Yan-Ping Zhang_Schaerer; Yvonna Li; Thomas Albrecht; Andreas Thalhammer; Fethallah Benmansour

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB094. doi:

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:

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:

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: color, deep learning, diabetes mellitus, fundus photography, macular edema, diabetic, datasets
Invest. Ophthalmol. Vis. Sci.. 2019; 60(4):852-857. doi: https://doi.org/10.1167/iovs.18-25634

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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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