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ARVO Annual Meeting Abstract June 2024

Retinomics.org: Visualizing multi-omic spatial effects on high-resolution AI-derived retinal thickness

Julia Owen; Victoria E Jackson; Roberto Bonelli; Samaneh Farashi; Yuka Kihara; Marin Gantner; Catherine A Egan; Katie Williams; Brendan Robert E Ansell; Adnan Tufail; Melanie Bahlo; Aaron Y. Lee; Yue Wu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):660.

ARVO Annual Meeting Abstract June 2024

Detection of Double Layer Sign in OCT using multi-modal learning

Yuka Kihara; Mengxi Shen; Yingying Shi; Liang Wang; Rita Laiginhas; Xiaoshuang Jiang; Alessandro Berni; Jermy Liu; Farhan Hiya; Jianqing Li; Giovanni Gregori; Philip J Rosenfeld; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2382.

ARVO Annual Meeting Abstract June 2024

Multi-omic spatial effects on high-resolution AI-derived retinal thickness

Roberto Bonelli; Victoria E Jackson; Yue Wu; Julia Owen; Samaneh Farashi; Yuka Kihara; Marin Gantner; Catherine A Egan; Katie Williams; Brendan Robert E Ansell; Adnan Tufail; Aaron Y Lee; Melanie Bahlo

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):655.

ARVO Annual Meeting Abstract June 2023

Detection of Double Layer Sign in OCT by Semi-supervised semantic segmentation

Yuka Kihara; Mengxi Shen; Yingying Shi; Xiaoshuang Jiang; Liang Wang; Rita Laiginhas; Cancan Lyu; Jin Yang; Jeremy Liu; Rosalyn Morin; Hironobu Fujiyoshi; Giovanni Gregori; Philip J Rosenfeld; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):3364.

ARVO Annual Meeting Abstract June 2023

Semi-Supervised Learning Improves Model Performance for Retinal Vessel Segmentation on Infrared Reflectance Imaging

Anand Rajesh; Yuka Kihara; Cecilia S. Lee; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1112.

Retina August 2022

Quantification and Predictors of OCT-Based Macular Curvature and Dome-Shaped Configuration: Results From the UK Biobank

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Philipp L. Müller; Yuka Kihara; Abraham Olvera-Barrios; Alasdair N. Warwick; Catherine Egan; Katie M. Williams; Aaron Y. Lee; Adnan Tufail; for the UK Biobank Eyes and Vision Consortium
TAGS: biobanks, cohort studies, eye, myopia, refractive errors, diagnostic imaging, ethnic group, hyperopia, smoking in pregnancy, congenital abnormality
Invest. Ophthalmol. Vis. Sci.. 2022; 63(9):28. https://doi.org/10.1167/iovs.63.9.28

Includes: Supplemental Content

Clinical and Epidemiologic Research July 2022

Foveal Curvature and Its Associations in UK Biobank Participants

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Abraham Olvera-Barrios; Yuka Kihara; Yue Wu; Alasdair N. Warwick; Philipp L. Müller; Katie M. Williams; Alicja R. Rudnicka; Christopher G. Owen; Aaron Y. Lee; Catherine Egan; Adnan Tufail; on behalf of the UK Biobank Eyes and Vision Consortium
TAGS: biobanks, ethnic group, income, eye, astigmatism, fovea centralis
Invest. Ophthalmol. Vis. Sci.. 2022; 63(8):26. https://doi.org/10.1167/iovs.63.8.26

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2022

Genetic associations of OCT-derived measures of macula and fovea curvature in UK Biobank participants

Katie Williams; Pirro G Hysi; Abraham Olvera-Barrios; Philipp L. Mueller; Yuka Kihara; Alasdair Warwick; Catherine A Egan; Christopher J Hammond; Aaron Y Lee; Adnan Tufail

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1054 – F0301.

ARVO Annual Meeting Abstract June 2022

Transfer Learning from Optical Coherence Tomography Images of MacTel Type II to Predict Retinal Sensitivity for Early-Intermediate Age-Related Macular Degeneration

Randy Lu; Yuka Kihara; Julia Owen; Zhichao Wu; Cecilia S Lee; Catherine A Egan; Robyn H Guymer; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):174 – F0021.

ARVO Annual Meeting Abstract June 2022

Detecting Double Layer Sign (DLS) with OCT using Multi-Region Segmentation Visual Transformers (ViT)

Yuka Kihara; Yingying Shi; Mengxi Shen; Liang Wang; Rita Laiginhas; Xiaoshuang Jiang; Jeremy Liu; Rosalyn Morin; Giovanni Gregori; Philip J Rosenfeld; Hironobu Fujiyoshi; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):470 – A0007.

ARVO Annual Meeting Abstract June 2021

Foveal curvature and its associations in UK Biobank participants

Abraham Olvera-Barrios; Yuka Kihara; Alasdair Warwick; Philipp L. Mueller; Catherine Egan; Katie Williams; Aaron Y Lee; Adnan Tufail

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2304.

ARVO Annual Meeting Abstract June 2021

Prevalence and Associations of Dome-Shape Macular Configuration – A Macular Curvature Study on UK Biobank data

Philipp L. Mueller; Yuka Kihara; Abraham Olvera-Barrios; Roy Schwartz; Alasdair Warwick; Catherine Egan; Katie M. Williams; Aaron Y Lee; Adnan Tufail; UK Biobank Eyes and Vision Consortium

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1920.

ARVO Annual Meeting Abstract June 2021

Detecting Double Layer Signs with OCT volumes using a 3D Convolutional Neural Network (CNN)

Yuka Kihara; yingying shi; Cancan Lyu; Jin Yang; Liang Wang; Xiaoshuang Jiang; Mengxi Shen; Rita Laiginhas; Hironobu Fujiyoshi; Giovanni Gregori; Philip J Rosenfeld; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2102.

Special Issue December 2020

Exploring a Structural Basis for Delayed Rod-Mediated Dark Adaptation in Age-Related Macular Degeneration Via Deep Learning

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Aaron Y. Lee; Cecilia S. Lee; Marian S. Blazes; Julia P. Owen; Yelena Bagdasarova; Yue Wu; Theodore Spaide; Ryan T. Yanagihara; Yuka Kihara; Mark E. Clark; MiYoung Kwon; Cynthia Owsley; Christine A. Curcio

Trans. Vis. Sci. Tech.. 2020; 9(2):62. https://doi.org/10.1167/tvst.9.2.62

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Global maximal utility optimizer for resident matching

Yue Wu; Theodore Spaide; Yuka Kihara; Cecilia S Lee; Ryan T. Yanagihara; Julia Owen; Aaron Y Lee; Russell Van Gelder

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5120.

ARVO Annual Meeting Abstract July 2019

Automated Machine Learning Pipeline for Predicting Retinal Sensitivity from Optical Coherence Tomography in Macular Telangiectasia Type 2

Yuka Kihara; Tjebo Heeren; yue wu; Ted Spaide; Sa Xiao; Catherine A Egan; Cecilia S Lee; Aaron Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1450.

ARVO Annual Meeting Abstract July 2019

Development of AI Deep Learning Algorithms for the Quantification of Retinopathy of Prematurity

Phanith Touch; Yue Wu; Yuka Kihara; Emily Marie Zepeda; Thomas Bradford Gillette; Michelle Trager Cabrera; Aaron Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1530.

ARVO Annual Meeting Abstract July 2019

Automated deep learning segmentation for smartphone based applanation tonometry

Theodore Spaide; yue wu; Yuka Kihara; Sa Xiao; Cecilia S Lee; Joanne C Wen; Aaron Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1479.

ARVO Annual Meeting Abstract July 2019

Fully automated artificial intelligence (AI) pipeline for feature-based segmentation and classification of diabetic retinopathy in fundus photographs

yue wu; Fenghua Wang; Sa Xiao; Yuka Kihara; Ted Spaide; Cecilia S Lee; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2205.

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Retinomics.org: Visualizing multi-omic spatial effects on high-resolution AI-derived retinal thickness

Detection of Double Layer Sign in OCT using multi-modal learning

Multi-omic spatial effects on high-resolution AI-derived retinal thickness

Detection of Double Layer Sign in OCT by Semi-supervised semantic segmentation

Semi-Supervised Learning Improves Model Performance for Retinal Vessel Segmentation on Infrared Reflectance Imaging

Quantification and Predictors of OCT-Based Macular Curvature and Dome-Shaped Configuration: Results From the UK Biobank

Foveal Curvature and Its Associations in UK Biobank Participants

Genetic associations of OCT-derived measures of macula and fovea curvature in UK Biobank participants

Transfer Learning from Optical Coherence Tomography Images of MacTel Type II to Predict Retinal Sensitivity for Early-Intermediate Age-Related Macular Degeneration

Detecting Double Layer Sign (DLS) with OCT using Multi-Region Segmentation Visual Transformers (ViT)

Foveal curvature and its associations in UK Biobank participants

Prevalence and Associations of Dome-Shape Macular Configuration – A Macular Curvature Study on UK Biobank data

Detecting Double Layer Signs with OCT volumes using a 3D Convolutional Neural Network (CNN)

Exploring a Structural Basis for Delayed Rod-Mediated Dark Adaptation in Age-Related Macular Degeneration Via Deep Learning

Global maximal utility optimizer for resident matching

Automated Machine Learning Pipeline for Predicting Retinal Sensitivity from Optical Coherence Tomography in Macular Telangiectasia Type 2

Development of AI Deep Learning Algorithms for the Quantification of Retinopathy of Prematurity

Automated deep learning segmentation for smartphone based applanation tonometry

Fully automated artificial intelligence (AI) pipeline for feature-based segmentation and classification of diabetic retinopathy in fundus photographs

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