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ARVO Annual Meeting Abstract July 2018

Visual acuity under lighting conditions with suboptimal contrast and glare in diabetic patients without retinopathy

Kevin C Chen; Amit Meshi; Alexa Li; Qisheng You; Luke Saunders; Eric Nudleman; Maria L. Gomez; William R Freeman

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1885. doi:

ARVO Annual Meeting Abstract July 2018

Progression of Primary Open Angle Glaucoma in Diabetic and Non-diabetic Patients

Huiyuan Hou; Takuhei Shoji; Linda M Zangwill; Sasan Moghimi; Luke Saunders; Kyle Hasenstab; Elham Ghahari; Patricia Isabel C Manalastas; Tadamichi Akagi; Mark Christopher; Rafaella Penteado; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2735. doi:

Glaucoma June 2018

Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression

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Mark Christopher; Akram Belghith; Robert N. Weinreb; Christopher Bowd; Michael H. Goldbaum; Luke J. Saunders; Felipe A. Medeiros; Linda M. Zangwill
TAGS: glaucoma, retinal nerve fiber layer, optical coherence tomography, unsupervised machine learning
Invest. Ophthalmol. Vis. Sci.. 2018; 59(7):2748-2756. doi: https://doi.org/10.1167/iovs.17-23387

Glaucoma April 2018

Deep-Layer Microvasculature Dropout by Optical Coherence Tomography Angiography and Microstructure of Parapapillary Atrophy

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Min Hee Suh; Linda M. Zangwill; Patricia Isabel C. Manalastas; Akram Belghith; Adeleh Yarmohammadi; Tadamichi Akagi; Alberto Diniz-Filho; Luke Saunders; Robert N. Weinreb
TAGS: atrophy, microvascular network, angiogram, optical coherence tomography
Invest. Ophthalmol. Vis. Sci.. 2018; 59(5):1996-2005. doi: https://doi.org/10.1167/iovs.17-23046

ARVO Annual Meeting Abstract June 2017

The Impact of Normal Aging and Definitions of Progression on Detecting Retinal Nerve Fiber Layer Changes in Optical Coherence Tomography Imaging

Luke J Saunders; Zhichao Wu; Linda M Zangwill; Fabio Bernardi Daga; Jonathan Crowston; Robert N Weinreb; Felipe Medeiros

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):1584. doi:

ARVO Annual Meeting Abstract June 2017

Rates of Local Retinal Nerve Fiber Layer (RNFL) Thinning before and after Disc Hemorrhage (DH) in Glaucoma Patients

Tadamichi Akagi; Linda M Zangwill; Luke J Saunders; Adeleh Yarmohammadi; Patricia Isabel C Manalastas; Min Hee Suh; Felipe Medeiros; Christopher A Girkin; Jeffrey M Liebmann; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):1588. doi:

ARVO Annual Meeting Abstract June 2017

The Association Between Macula and Optic Nerve Head Optical Coherence Tomography Angiography (OCT-A) Vessel Densities in Glaucoma, Glaucoma Suspect and Healthy Eyes

Patricia Isabel C Manalastas; Linda M Zangwill; Luke J Saunders; Fabio Bernardi Daga; Mark Christopher; Adeleh Yarmohammadi; Tadamichi Akagi; Takuhei Shoji; Rafaella Cleto Penteado; Min Hee Suh; Felipe Medeiros; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):1648. doi:

ARVO Annual Meeting Abstract June 2017

Optical coherence tomography angiography parameters in diabetic patients with no diabetic retinopathy

Amit Meshi; Qisheng You; Dirk-Uwe G Bartsch; Luke J Saunders; Tiezhu Lin; Raouf Gaber; Ilkay Kilic; William R Freeman

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):1652. doi:

ARVO Annual Meeting Abstract June 2017

The Rate of Macular Microvascular Dropout is Faster in Glaucoma Eyes than Glaucoma Suspect and Healthy Eyes: A Longitudinal Study

Takuhei Shoji; Linda M Zangwill; Tadamichi Akagi; Luke J Saunders; Adeleh Yarmohammadi; Patricia Isabel C Manalastas; Rafaella Cleto Penteado; Felipe Medeiros; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):3396. doi:

ARVO Annual Meeting Abstract June 2017

Computational Features Derived from Retinal Nerve Fiber Layer (RNFL) Thickness Maps in Detecting and Monitoring Glaucoma

Mark Christopher; Akram Belghith; Christopher Bowd; Michael Henry Goldbaum; Luke J Saunders; Felipe Medeiros; Robert N Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):3999. doi:

ARVO Annual Meeting Abstract June 2017

Vessel Density is Associated with Visual Field Damage in Advanced Glaucoma Eyes

Adeleh Yarmohammadi; Linda M Zangwill; Luke J Saunders; Alberto Diniz-Filho; Min Hee Suh; Patricia Isabel C Manalastas; Akram Belghith; Tadamichi Akagi; Takuhei Shoji; Rafaella Cleto Penteado; Felipe Medeiros; Robert N Weinreb

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):5830. doi:

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. doi:

ARVO Annual Meeting Abstract September 2016

Investigating the relationship between changes in retinal nerve fiber layer (RNFL) thickness and visual field (VF) damage in glaucoma patients with existing visual field loss

Luke J Saunders; Alexa Li; Akram Belghith; Felipe A Medeiros; Jeffrey L Goldberg; Jeffrey M Liebmann; Christopher A Girkin; Christopher Bowd; Robert N Weinreb; Linda M Zangwill

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

ARVO Annual Meeting Abstract September 2016

Mars vs Venus: Are men or women more likely to present with advanced glaucoma at the time of diagnosis?

Laura A Edwards; Luke J Saunders; David Crabb

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):1559. doi:

Articles July 2016

Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes

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Adeleh Yarmohammadi; Linda M. Zangwill; Alberto Diniz-Filho; Min Hee Suh; Patricia Isabel Manalastas; Naeem Fatehee; Siamak Yousefi; Akram Belghith; Luke J. Saunders; Felipe A. Medeiros; David Huang; Robert N. Weinreb
TAGS: angiogram, eye, glaucoma, optical coherence tomography
Invest. Ophthalmol. Vis. Sci.. 2016; 57(9):OCT451-OCT459. doi: https://doi.org/10.1167/iovs.15-18944

Letters to the Editor July 2014

Author Response: Predicting and Preventing Visual Impairment and Blindness by Incorporating Individual Progression Velocity in Glaucoma Care

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Luke J. Saunders; Richard A. Russell; James F. Kirwan; Andrew I. McNaught; David P. Crabb
TAGS: blindness, glaucoma, velocity, visual impairment
Invest. Ophthalmol. Vis. Sci.. 2014; 55(7):4475. doi: https://doi.org/10.1167/iovs.14-15049

ARVO Annual Meeting Abstract April 2014

Standard or Fast? - Differences in precision between SITA Standard and SITA Fast testing algorithms and their utility for detecting visual field deterioration

Luke John Saunders; Richard A Russell; David Paul Crabb

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):3010. doi:

ARVO Annual Meeting Abstract April 2014

Are we getting better at detecting glaucoma before the disease becomes advanced? An examination of trends in visual field severity at the time of diagnosis

trishal boodhna; Luke John Saunders; Richard Russel; David Paul Crabb

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):3012. doi:

Glaucoma January 2014

Examining Visual Field Loss in Patients in Glaucoma Clinics During Their Predicted Remaining Lifetime

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Luke J. Saunders; Richard A. Russell; James F. Kirwan; Andrew I. McNaught; David P. Crabb
TAGS: blindness, glaucoma, eye
Invest. Ophthalmol. Vis. Sci.. 2014; 55(1):102-109. doi: https://doi.org/10.1167/iovs.13-13006

Includes: Supplemental Content

Letters to the Editor October 2012

The Coefficient of Determination: What Determines a Useful R 2 Statistic?

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Luke J. Saunders; Richard A. Russell; David P. Crabb
TAGS: coefficient of determination
Invest. Ophthalmol. Vis. Sci.. 2012; 53(11):6830-6832. doi: https://doi.org/10.1167/iovs.12-10598

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Visual acuity under lighting conditions with suboptimal contrast and glare in diabetic patients without retinopathy

Progression of Primary Open Angle Glaucoma in Diabetic and Non-diabetic Patients

Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression

Deep-Layer Microvasculature Dropout by Optical Coherence Tomography Angiography and Microstructure of Parapapillary Atrophy

The Impact of Normal Aging and Definitions of Progression on Detecting Retinal Nerve Fiber Layer Changes in Optical Coherence Tomography Imaging

Rates of Local Retinal Nerve Fiber Layer (RNFL) Thinning before and after Disc Hemorrhage (DH) in Glaucoma Patients

The Association Between Macula and Optic Nerve Head Optical Coherence Tomography Angiography (OCT-A) Vessel Densities in Glaucoma, Glaucoma Suspect and Healthy Eyes

Optical coherence tomography angiography parameters in diabetic patients with no diabetic retinopathy

The Rate of Macular Microvascular Dropout is Faster in Glaucoma Eyes than Glaucoma Suspect and Healthy Eyes: A Longitudinal Study

Computational Features Derived from Retinal Nerve Fiber Layer (RNFL) Thickness Maps in Detecting and Monitoring Glaucoma

Vessel Density is Associated with Visual Field Damage in Advanced Glaucoma Eyes

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

Investigating the relationship between changes in retinal nerve fiber layer (RNFL) thickness and visual field (VF) damage in glaucoma patients with existing visual field loss

Mars vs Venus: Are men or women more likely to present with advanced glaucoma at the time of diagnosis?

Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes

Author Response: Predicting and Preventing Visual Impairment and Blindness by Incorporating Individual Progression Velocity in Glaucoma Care

Standard or Fast? - Differences in precision between SITA Standard and SITA Fast testing algorithms and their utility for detecting visual field deterioration

Are we getting better at detecting glaucoma before the disease becomes advanced? An examination of trends in visual field severity at the time of diagnosis

Examining Visual Field Loss in Patients in Glaucoma Clinics During Their Predicted Remaining Lifetime

The Coefficient of Determination: What Determines a Useful R 2 Statistic?

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