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Artificial Intelligence August 2024

High Prevalence of Artifacts in Optical Coherence Tomography With Adequate Signal Strength

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Wei-Chun Lin; Aaron S. Coyner; Charles E. Amankwa; Abigail Lucero; Gadi Wollstein; Joel S. Schuman; Hiroshi Ishikawa
TAGS: artifacts, optical coherence tomography, prevalence, image quality
Trans. Vis. Sci. Tech.. 2024; 13(8):43. https://doi.org/10.1167/tvst.13.8.43

ARVO Annual Meeting Abstract June 2024

A Unified Framework for Visual Field Test Estimation and Forecasting using Convolution and Attention Networks

Ashkan Abbasi; Sowjanya Gowrisankaran; Bhavna Josephine Antony; Xubo Song; Gadi Wollstein; Joel S Schuman; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2361.

ARVO Annual Meeting Abstract June 2024

Enhancing Amblyopia Identification Using NLP: A Study of BioClinical BERT and Flan-T5 Models

Wei-Chun Lin; Caleb Reznick; Leah Reznick; Abigail Lucero; J. Peter Campbell; Hiroshi Ishikawa; Michelle Hribar

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):338.

ARVO Annual Meeting Abstract June 2024

High Prevalence of Artifacts in Optical Coherence Tomography Images with Adequate Signal Strength

Charles Enyaah Amankwa; Wei-Chun Lin; Aaron S Coyner; Abigail Lucero; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1598.

ARVO Annual Meeting Abstract June 2024

How Far in the Future Can a Deep Learning Model Forecast Pointwise Visual Field (VF) Data Based Solely on One VF Data Input

Hiroshi Ishikawa; Ashkan Abbasi; Sowjanya Gowrisankaran; Bhavna Josephine Antony; Xubo Song; Gadi Wollstein; Joel S Schuman

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):373.

ARVO Annual Meeting Abstract June 2024

Normative variability in retinal nerve fiber layer thickness: Does it matter where the peaks are?

Sowjanya Gowrisankaran; Ashkan Abbasi; Xubo Song; Joel S Schuman; Gadi Wollstein; Bhavna Josephine Antony; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5957.

ARVO Annual Meeting Abstract June 2024

Use of Visual Field Modeling and Analysis (VFMA) Values to Monitor Retinal Sensitivity in RPGR-related X-Linked Retinitis Pigmentosa

Edeleidys Sanchez Saucedo; Charlotte Mullis; Shobana Aravind; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5405.

ARVO Annual Meeting Abstract June 2024

Automated motion artifact detection in en face OCT images using deep learning algorithm

Papis Wongchaisuwat; Ashkan Abbasi; Sowjanya Gowrisankaran; Bhavna Josephine Antony; Xubo Song; Gadi Wollstein; Joel S Schuman; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2381.

Glaucoma March 2024

Peripapillary Atrophy Area as an Indicator of Glaucomatous Structural and Functional Progression

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Maroun Khreish; Joel S. Schuman; TingFang Lee; Zeinab Ghassabi; Ronald Zambrano; Jiyuan Hu; Hiroshi Ishikawa; Gadi Wollstein; Fabio Lavinsky
TAGS: atrophy, eye, glaucoma
Trans. Vis. Sci. Tech.. 2024; 13(3):1. https://doi.org/10.1167/tvst.13.3.1

Artificial Intelligence August 2023

Can Glaucoma Suspect Data Help to Improve the Performance of Glaucoma Diagnosis?

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Ashkan Abbasi; Bhavna Josephine Antony; Sowjanya Gowrisankaran; Gadi Wollstein; Joel S. Schuman; Hiroshi Ishikawa
TAGS: datasets, glaucoma
Trans. Vis. Sci. Tech.. 2023; 12(8):6. https://doi.org/10.1167/tvst.12.8.6

Artificial Intelligence June 2023

Segmentation-Free OCT-Volume-Based Deep Learning Model Improves Pointwise Visual Field Sensitivity Estimation

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Zhiqi Chen; Eitan Shemuelian; Gadi Wollstein; Yao Wang; Hiroshi Ishikawa; Joel S. Schuman
TAGS: deep learning, visual fields, volume, datasets, maps, training
Trans. Vis. Sci. Tech.. 2023; 12(6):28. https://doi.org/10.1167/tvst.12.6.28

ARVO Annual Meeting Abstract June 2023

OCT Image Classification of Glaucoma Using AutoML – A Code-Free Deep Learning Platform

Sowjanya Gowrisankaran; Xubo Song; ashkan abbasi; Gadi Wollstein; Joel S Schuman; Bhavna Josephine Antony; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1081.

ARVO Annual Meeting Abstract June 2023

Deep-Learning-Based Group Point-Wise Spatial Mapping of Structure to Function in Glaucoma

Zhiqi Chen; Hiroshi Ishikawa; Gadi Wollstein; Yao Wang; Joel S Schuman

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):344.

ARVO Annual Meeting Abstract June 2023

Perimetry Certification Provided by a Reading Center Improves Quality of Data Collection in Clinical Trials

Edeleidys Sanchez Saucedo; Maria Parker; Audra Miller; Shobana Aravind; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):109.

ARVO Annual Meeting Abstract June 2023

Glaucoma Suspect Data Improve the Deep Learning based Glaucoma Diagnosis Performance

ashkan abbasi; Bhavna Josephine Antony; Sowjanya Gowrisankaran; Gadi Wollstein; Joel S Schuman; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):541.

ARVO Annual Meeting Abstract June 2023

Longitudinal Peripapillary Atrophy Area Changes Measured with OCT as an Indicator of Glaucoma Progression.

Maroun Khreish; Gadi Wollstein; TingFang Lee; Zeinab Ghassabi; Ronald Zambrano; Jiyuan Hu; Hiroshi Ishikawa; Joel S Schuman; Fabio Lavinsky

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1025.

ARVO Annual Meeting Abstract June 2023

Retinal Nerve Fiber Layer Measurement Reproducibility with Varying Sampling Patterns and Locations in Rhesus Macaque Eyes.

Palaiologos Alexopoulos; Ronald Zambrano; TingFang Lee; Jiyuan Hu; Anse Vellappally; Rania Zaki; Arturo O Barron; James Higham; Amanda Melin; John Danias; Hiroshi Ishikawa; Joel S Schuman; Gadi Wollstein

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):946.

Glaucoma April 2023

Under Pressure: Lamina Cribrosa Pore Path Tortuosity in Response to Acute Pressure Modulation

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Palaiologos Alexopoulos; Yoav Glidai; Zeinab Ghassabi; Bo Wang; Behnam Tayebi; Anse Vellappally; Mengfei Wu; Mengling Liu; Katie Lucy-Jones; Ronald Zambrano; Hiroshi Ishikawa; Joel S. Schuman; Gadi Wollstein
TAGS: cribriform plate, eye, intraocular pressure, optic disk, glaucoma
Trans. Vis. Sci. Tech.. 2023; 12(4):4. https://doi.org/10.1167/tvst.12.4.4

Glaucoma December 2022

Comparing Acute IOP-Induced Lamina Cribrosa Deformations Premortem and Postmortem

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Junchao Wei; Yi Hua; Bin Yang; Bo Wang; Samantha E. Schmitt; Bingrui Wang; Katie A. Lucy; Hiroshi Ishikawa; Joel S. Schuman; Matthew A. Smith; Gadi Wollstein; Ian A. Sigal
TAGS: autopsy, intraocular pressure, cribriform plate
Trans. Vis. Sci. Tech.. 2022; 11(12):1. https://doi.org/10.1167/tvst.11.12.1

ARVO Annual Meeting Abstract June 2022

Dehazing of Visible-light OCT B-scans using deep neural model improves visualization and quantification of retinal sub-layers.

Zeinab Ghassabi; Joel S Schuman; TingFang Lee; Eitan Shemuelian; Ronald Zambrano; Roman Kuranov; Ian Rubinoff; Gadi Wollstein; Hao Zhang; Hiroshi Ishikawa

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):192 – F0039.

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High Prevalence of Artifacts in Optical Coherence Tomography With Adequate Signal Strength

A Unified Framework for Visual Field Test Estimation and Forecasting using Convolution and Attention Networks

Enhancing Amblyopia Identification Using NLP: A Study of BioClinical BERT and Flan-T5 Models

High Prevalence of Artifacts in Optical Coherence Tomography Images with Adequate Signal Strength

How Far in the Future Can a Deep Learning Model Forecast Pointwise Visual Field (VF) Data Based Solely on One VF Data Input

Normative variability in retinal nerve fiber layer thickness: Does it matter where the peaks are?

Use of Visual Field Modeling and Analysis (VFMA) Values to Monitor Retinal Sensitivity in RPGR-related X-Linked Retinitis Pigmentosa

Automated motion artifact detection in en face OCT images using deep learning algorithm

Peripapillary Atrophy Area as an Indicator of Glaucomatous Structural and Functional Progression

Can Glaucoma Suspect Data Help to Improve the Performance of Glaucoma Diagnosis?

Segmentation-Free OCT-Volume-Based Deep Learning Model Improves Pointwise Visual Field Sensitivity Estimation

OCT Image Classification of Glaucoma Using AutoML – A Code-Free Deep Learning Platform

Deep-Learning-Based Group Point-Wise Spatial Mapping of Structure to Function in Glaucoma

Perimetry Certification Provided by a Reading Center Improves Quality of Data Collection in Clinical Trials

Glaucoma Suspect Data Improve the Deep Learning based Glaucoma Diagnosis Performance

Longitudinal Peripapillary Atrophy Area Changes Measured with OCT as an Indicator of Glaucoma Progression.

Retinal Nerve Fiber Layer Measurement Reproducibility with Varying Sampling Patterns and Locations in Rhesus Macaque Eyes.

Under Pressure: Lamina Cribrosa Pore Path Tortuosity in Response to Acute Pressure Modulation

Comparing Acute IOP-Induced Lamina Cribrosa Deformations Premortem and Postmortem

Dehazing of Visible-light OCT B-scans using deep neural model improves visualization and quantification of retinal sub-layers.

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