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ARVO Annual Meeting Abstract June 2024

Validating a deep learning model for systemic biomarkers in smartphone photos of the external eye: a prospective, multisite study

Amit Talreja; Eugene Yu-Chuan Kang; Ilana Traynis; Boris Babenko; Chang-Fu Kuo; Ramasamy Kim; Jorge Cuadros; Yossi Matias; Greg Corrado; Lily Peng; Dale Wesbter; Naama Hammel; Yun Liu; Preeti Singh

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3721.

ARVO Annual Meeting Abstract June 2020

A Deep Learning Model to Detect Center-Involved Diabetic Macular Edema from Fundus Images

Xinle Liu; Preeti Singh; Paisan Ruamviboonsuk; Peranut Chotcomwongse; Reena Chopra; Pearse A. Keane; Josef Christian Huemer; Jorge Cuadros; Avinash V. Varadarajan; Naama Hammel; Siva Balasubramanian; Tayyeba K. Ali; Pinal Bavishi

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1619.

ARVO Annual Meeting Abstract June 2020

Identifying and mitigating low-quality labels for deep learning in glaucoma

Joy Hsu; Sonia Phene; Jieying Luo; Akinori Mitani; Naama Hammel; Jonathan Krause; Rory Sayres

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4537.

ARVO Annual Meeting Abstract June 2020

Performance of Deep Learning Glaucoma Suspect Models Compared to Various Reference Standards

Lu Yang; Carter Dunn; Abigail E Huang; Naama Hammel; Ilana Traynis; Monica Gandhi; Jonathan Krause; Sonia Phene

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4538.

Articles December 2019

Remote Tool-Based Adjudication for Grading Diabetic Retinopathy

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Mike Schaekermann; Naama Hammel; Michael Terry; Tayyeba K. Ali; Yun Liu; Brian Basham; Bilson Campana; William Chen; Xiang Ji; Jonathan Krause; Greg S. Corrado; Lily Peng; Dale R. Webster; Edith Law; Rory Sayres
TAGS: diabetic retinopathy, participation in ward rounds, reliability, reference standards
Trans. Vis. Sci. Tech.. 2019; 8(6):40. https://doi.org/10.1167/tvst.8.6.40

Includes: Supplemental Content

ARVO Annual Meeting Abstract July 2019

Automated capture of the dilated eye exam for diabetic retinopathy screening in an electronic health record

Michael Ellis; Michele Lim; Naama Hammel; Siddhartha Maharajh; Danille Fujino; Betty Hom; Scott McDonald

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1075.

ARVO Annual Meeting Abstract July 2019

Asynchronous Remote Adjudication for Grading Diabetic Retinopathy

Mike Schaekermann; Naama Hammel; Brian Basham; Bilson Campana; Edith Law; Lily Peng; Dale R Webster; Rory Sayres

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):158.

ARVO Annual Meeting Abstract July 2019

A Study of Feature-based Consensus Formation for Glaucoma Risk Assessment

Naama Hammel; Mike Schaekermann; Sonia Phene; Carter Dunn; Lily Peng; Dale R Webster; Rory Sayres

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):164.

ARVO Annual Meeting Abstract July 2019

Identifying glaucomatous optic nerve head features and glaucoma risk in fundus images at eye-care provider levels of accuracy using deep learning algorithms

Sonia Phene; Naama Hammel; Abigail E Huang; April Yauguang Maa; Carter Dunn; Christopher Semturs; Lily Peng; Dale R Webster

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1460.

ARVO Annual Meeting Abstract July 2018

Machine learning for identifying glaucoma related features in fundus images

Derek Wu; Naama Hammel; Robert Carter Dunn; Lily Peng; Dale Webster

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1720.

ARVO Annual Meeting Abstract July 2018

Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation

Rory Sayres; Ankur Taly; Ehsan Rahimy; Katy Blumer; David Coz; Naama Hammel; Jonathan Krause; Arunachalam Narayanaswamy; Zahra Rastegar; Derek Wu; Shawn Xu; Lily Peng; Dale Webster

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1227.

ARVO Annual Meeting Abstract September 2016

Diagnostic Innovations in Glaucoma Study (DIGS): Comparing the Rates of Macular Ganglion Cell layer loss in Healthy, non-progressing Glaucoma and progressing glaucoma Eyes

Naama Hammel; Akram Belghith; Felipe A Medeiros; Luke Saunders; Saif Baig; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):373.

ARVO Annual Meeting Abstract September 2016

A Longitudinal Analysis of Choroidal Thinning in Healthy and Glaucoma Subjects

Rusdeep S Mundae; Linda M Zangwill; Sami W. Kabbara; Naama Hammel; Christopher Bowd; Christopher A Girkin; Jeffrey M Liebmann; Felipe A Medeiros; Robert N Weinreb; Akram Belghith

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):876.

Glaucoma February 2016

Does the Location of Bruch's Membrane Opening Change Over Time? Longitudinal Analysis Using San Diego Automated Layer Segmentation Algorithm (SALSA)

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Akram Belghith; Christopher Bowd; Felipe A. Medeiros; Naama Hammel; Zhiyong Yang; Robert N. Weinreb; Linda M. Zangwill
TAGS: bruch's basal membrane, eye, follow-up, glaucoma, optic disk
Invest. Ophthalmol. Vis. Sci.. 2016; 57(2):675-682. https://doi.org/10.1167/iovs.15-17671

ARVO Annual Meeting Abstract June 2015

Ganglion cell and retinal nerve fiber layer thickness predict the development of visual field damage in glaucoma suspects

Zhiyong Yang; Andrew J Tatham; Naama Hammel; Lucie Sharpsten; Felipe A Medeiros; Robert N Weinreb; Christopher A Girkin; Jeffrey M Liebmann; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):2054.

ARVO Annual Meeting Abstract June 2015

African Descent and Glaucoma Evaluation Study (ADAGES): Racial differences in the risk of developing visual field damage vary by level of IOP

Linda M Zangwill; Naira Khachatryan; Christopher Bowd; Jeffrey M Liebmann; Christopher A Girkin; Robert N Weinreb; Pamela A Sample; Naama Hammel; Lucie Sharpsten; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):3701.

ARVO Annual Meeting Abstract June 2015

Diagnostic Innovations in Glaucoma Study (DIGS): Comparing the Rates of Peripapillary Retinal Nerve Fiber layer and Ganglion Cell-Inner Plexiform Layer Loss in Healthy and Glaucoma Eyes

Naama Hammel; Akram Belghith; Felipe A Medeiros; Nadia Mendoza; yang qin; Zhiyong Yang; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):4568.

ARVO Annual Meeting Abstract April 2014

African Descent and Glaucoma Evaluation Study (ADAGES): Rate and Pattern of Rim Area Loss in Normal and Progressing Eyes

Naama Hammel; Andrew J Tatham; Lucie Sharpsten; Jeffrey M Liebmann; Christopher A Girkin; Felipe A Medeiros; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):4768.

ARVO Annual Meeting Abstract April 2014

The African Descent and Glaucoma Evaluation Study (ADAGES): Rate and Patterns of Rim Area Loss in Gaucoma Suspects

Naira Khachatryan; Lucie Sharpsten; Felipe A Medeiros; Pamela A Sample; Jeffrey M Liebmann; Christopher A Girkin; Robert N Weinreb; Naama Hammel; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):4772.

ARVO Annual Meeting Abstract April 2014

Diagnostic Innovations in Glaucoma Study (DIGS): Diagnostic Accuracy of the Spectralis Normative Database in Differentiating between Healthy and Early Visual Field Defect Eyes

Anna Silverman; Lucie Sharpsten; Felipe A Medeiros; Naira Khachatryan; Naama Hammel; Christopher A Girkin; Jeffrey M Liebmann; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):4773.

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Validating a deep learning model for systemic biomarkers in smartphone photos of the external eye: a prospective, multisite study

A Deep Learning Model to Detect Center-Involved Diabetic Macular Edema from Fundus Images

Identifying and mitigating low-quality labels for deep learning in glaucoma

Performance of Deep Learning Glaucoma Suspect Models Compared to Various Reference Standards

Remote Tool-Based Adjudication for Grading Diabetic Retinopathy

Automated capture of the dilated eye exam for diabetic retinopathy screening in an electronic health record

Asynchronous Remote Adjudication for Grading Diabetic Retinopathy

A Study of Feature-based Consensus Formation for Glaucoma Risk Assessment

Identifying glaucomatous optic nerve head features and glaucoma risk in fundus images at eye-care provider levels of accuracy using deep learning algorithms

Machine learning for identifying glaucoma related features in fundus images

Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation

Diagnostic Innovations in Glaucoma Study (DIGS): Comparing the Rates of Macular Ganglion Cell layer loss in Healthy, non-progressing Glaucoma and progressing glaucoma Eyes

A Longitudinal Analysis of Choroidal Thinning in Healthy and Glaucoma Subjects

Does the Location of Bruch's Membrane Opening Change Over Time? Longitudinal Analysis Using San Diego Automated Layer Segmentation Algorithm (SALSA)

Ganglion cell and retinal nerve fiber layer thickness predict the development of visual field damage in glaucoma suspects

African Descent and Glaucoma Evaluation Study (ADAGES): Racial differences in the risk of developing visual field damage vary by level of IOP

Diagnostic Innovations in Glaucoma Study (DIGS): Comparing the Rates of Peripapillary Retinal Nerve Fiber layer and Ganglion Cell-Inner Plexiform Layer Loss in Healthy and Glaucoma Eyes

African Descent and Glaucoma Evaluation Study (ADAGES): Rate and Pattern of Rim Area Loss in Normal and Progressing Eyes

The African Descent and Glaucoma Evaluation Study (ADAGES): Rate and Patterns of Rim Area Loss in Gaucoma Suspects

Diagnostic Innovations in Glaucoma Study (DIGS): Diagnostic Accuracy of the Spectralis Normative Database in Differentiating between Healthy and Early Visual Field Defect Eyes

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