Search | IOVS | ARVO Journals

Showing 1 – 17 of 17

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

ARVO Annual Meeting Abstract June 2024

Glaucoma Suspects Detection by Combined Machine Learning-Based Risk Score Generation and Feature Optimization

Alauddin Bhuiyan; James C Tsai; Tak Yee Tania Tai; Roland Theodore Smith; Arun Govindaiah

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1620.

Retina February 2024

Internal Carotid Artery Stenosis and Ipsilateral Subretinal Drusenoid Deposits

PDF

Emanuel Mordechaev; Jason J. Jo; Samuel Mordechaev; Arun Govindaiah; Yang Fei; Katy Tai; Yuehong Tong; Alauddin Bhuiyan; Jesse Weinberger; Avnish Deobhakta; Mandip Dhamoon; Richard B. Rosen; Gareth M. C. Lema; R. Theodore Smith
TAGS: internal carotid artery stenosis, carotid stenosis, digestive tract decontamination
Invest. Ophthalmol. Vis. Sci.. 2024; 65(2):37. https://doi.org/10.1167/iovs.65.2.37

ARVO Annual Meeting Abstract June 2023

Validation of embossing technique for subretinal drusenoid deposits on color fundus photos

Yang Fei; Shin Kadomoto; Emanuel Mordechaev; Brandon Le; Katy Tai; Alauddin Bhuiyan; SriniVas R Sadda; Roland Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):2139.

ARVO Annual Meeting Abstract June 2022

A Validation Study of An Automated Artificial Intelligence-based Detection Model for Disc Hemorrhage Using Color Fundus Imaging

Arun Govindaiah; Oscar Otero-Marquez; Louis Pasquale; Aaron C Brown; R. Theodore Smith; Alauddin Bhuiyan

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2042 – A0483.

ARVO Imaging in the Eye Conference Abstract July 2020

An Artificial Intelligence Based Screening Tool to Identify Glaucoma Suspects from Color Fundus Imaging

Alauddin Bhuiyan; Arun Govindaiah; Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PB009.

ARVO Annual Meeting Abstract June 2020

A Prospective Trial of an Artificial Intelligence based Telemedicine Platform to Stratify Severity of Age-related Macular Degeneration (AMD)

Sharmina Alauddin; Alauddin Bhuiyan; Arun Govindaiah; Oscar Otero-Marquez; Raphael Gildengorn; Jake Edward Radell; Catherine Ye; Roland Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1843.

ARVO Annual Meeting Abstract June 2020

Development and Validation of an Automated AI-based Diabetic Retinopathy Screening Tool for Primary Care Setting

Alauddin Bhuiyan; Arun Govindaiah; Mohd Hossain; R Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3821.

Special Issue April 2020

Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD

PDF

Alauddin Bhuiyan; Tien Yin Wong; Daniel Shu Wei Ting; Arun Govindaiah; Eric H. Souied; R. Theodore Smith
TAGS: age-related macular degeneration, artificial intelligence, datasets, drusen, screening, deep learning, training, trees (plant), demography, color
Trans. Vis. Sci. Tech.. 2020; 9(2):25. https://doi.org/10.1167/tvst.9.2.25

Includes: Supplemental Content

ARVO Annual Meeting Abstract July 2019

Prediction of Late Dry and Wet Age-related Macular Degeneration (AMD) in 1-year and 2-year Incident using Retinal Imaging and Traditional Risk Factors

Alauddin Bhuiyan; Arun Govindaiah

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):181.

ARVO Annual Meeting Abstract July 2018

A Prediction Model for Risk of Progression to Late Age-related Macular Degeneration (AMD)

Alauddin Bhuiyan; Arun Govindaiah; R Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):3214.

ARVO Annual Meeting Abstract September 2016

A System for Predicting White Matter Lesion Volume in the Brain Using Retinal Vessel Features

Alauddin Bhuiyan; Pallab Roy; Rao Kotagiri

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):1711.

ARVO Annual Meeting Abstract September 2016

Validation of an Automated Software for Choroidal Thickness (CTh) Measurement

Aushim Kokroo; Alauddin Bhuiyan; Akter Hussain; Rao Kotagiri; Meleha Ahmad; Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):5954.

Articles May 2016

Spatial and Spectral Characterization of Human Retinal Pigment Epithelium Fluorophore Families by Ex Vivo Hyperspectral Autofluorescence Imaging

PDF

Tal Ben Ami; Yuehong Tong; Alauddin Bhuiyan; Carrie Huisingh; Zsolt Ablonczy; Thomas Ach; Christine A. Curcio; R. Theodore Smith
TAGS: autofluorescence, biological response modifiers, body tissue, diagnostic imaging, eye, family
Trans. Vis. Sci. Tech.. 2016; 5(3):5. https://doi.org/10.1167/tvst.5.3.5

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2015

Inter- and Intra-observer agreement of Newly Developed Software for Retinal Arteriolar Focal Narrowing Quantification

Alauddin Bhuiyan; Pallab Roy; Akter Hussain; Kim Lee; Ecosse Luc Lamoureux; Tien Yin Wong; Elsdon Storey; Yogesan Kanagasingam; Rao Kotagiri

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):5247.

Retina December 2014

Development and Reliability of Retinal Arteriolar Central Light Reflex Quantification System: A New Approach for Severity Grading

PDF

Alauddin Bhuiyan; Carol Y. Cheung; Shaun Frost; Ecosse Lamoureux; Paul Mitchell; Yogesan Kanagasingam; Tien Y. Wong
TAGS: pupil light reflex, reliability, hypertension, diameter
Invest. Ophthalmol. Vis. Sci.. 2014; 55(12):7975-7981. https://doi.org/10.1167/iovs.14-14125

ARVO Annual Meeting Abstract April 2014

Inter- and Intra-observer agreement of Newly Developed Semi-automated Software for Retinal Artery-Vein Nicking Quantification and Severity Grading

Alauddin Bhuiyan; Uyen Nguen; Ryo Kawasaki; Ecosse Luc Lamoureux; Paul Mitchell; Kotagiri Ramamohanarao; Tien Y Wong; Yogesan Kanagasingam

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):234.

ARVO Annual Meeting Abstract June 2013

Retinal Central Reflex Quantification: A New Approach for Central Reflex Grading and Severity Measurement

Alauddin Bhuiyan; Ecosse Lamoureux; Jie Wang; Carol Cheung; Kanagasingam Yogesan; Tien Wong

Invest. Ophthalmol. Vis. Sci.. 2013; 54(15):5493.

NARROW

Content Type

Journal

Article Type

Topics

Tags

Specify Date Range

Glaucoma Suspects Detection by Combined Machine Learning-Based Risk Score Generation and Feature Optimization

Internal Carotid Artery Stenosis and Ipsilateral Subretinal Drusenoid Deposits

Validation of embossing technique for subretinal drusenoid deposits on color fundus photos

A Validation Study of An Automated Artificial Intelligence-based Detection Model for Disc Hemorrhage Using Color Fundus Imaging

An Artificial Intelligence Based Screening Tool to Identify Glaucoma Suspects from Color Fundus Imaging

A Prospective Trial of an Artificial Intelligence based Telemedicine Platform to Stratify Severity of Age-related Macular Degeneration (AMD)

Development and Validation of an Automated AI-based Diabetic Retinopathy Screening Tool for Primary Care Setting

Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD

Prediction of Late Dry and Wet Age-related Macular Degeneration (AMD) in 1-year and 2-year Incident using Retinal Imaging and Traditional Risk Factors

A Prediction Model for Risk of Progression to Late Age-related Macular Degeneration (AMD)

A System for Predicting White Matter Lesion Volume in the Brain Using Retinal Vessel Features

Validation of an Automated Software for Choroidal Thickness (CTh) Measurement

Spatial and Spectral Characterization of Human Retinal Pigment Epithelium Fluorophore Families by Ex Vivo Hyperspectral Autofluorescence Imaging

Inter- and Intra-observer agreement of Newly Developed Software for Retinal Arteriolar Focal Narrowing Quantification

Development and Reliability of Retinal Arteriolar Central Light Reflex Quantification System: A New Approach for Severity Grading

Inter- and Intra-observer agreement of Newly Developed Semi-automated Software for Retinal Artery-Vein Nicking Quantification and Severity Grading

Retinal Central Reflex Quantification: A New Approach for Central Reflex Grading and Severity Measurement

To View More...

You must be signed into an individual account to use this feature.