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Vision Sciences Society Annual Meeting Abstract December 2022

Examining increment thresholds as a function of pedestal contrast under hypothetical parvocellular- and magnocellular-biased conditions.

Jaeseon Song; Bruno G. Breitmeyer; Jeffrey Nightingale; James M. Brown

Journal of Vision. 2022; 22(14):3225. https://doi.org/10.1167/jov.22.14.3225

Special Issue February 2020

Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach

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Veysi M. Yildiz; Peng Tian; Ilkay Yildiz; James M. Brown; Jayashree Kalpathy-Cramer; Jennifer Dy; Stratis Ioannidis; Deniz Erdogmus; Susan Ostmo; Sang Jin Kim; R. V. Paul Chan; J. Peter Campbell; Michael F. Chiang; for the Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium
TAGS: convolutional neural networks, datasets, retinopathy of prematurity, optic disk
Trans. Vis. Sci. Tech.. 2020; 9(2):10. https://doi.org/10.1167/tvst.9.2.10

Includes: Supplemental Content

Vision Sciences Society Annual Meeting Abstract September 2019

Further exploration of antagonistic interactions in figure-ground perception

Jaeseon Song; James M Brown

Journal of Vision. 2019; 19(10):35c. https://doi.org/10.1167/19.10.35c

Vision Sciences Society Annual Meeting Abstract September 2019

White Illusion: Effects of Inducer Contrast, Test-Bar Location, and Test-Bar Contrast

Bruno Breitmeyer; Richard W. Plummer; Ralph Hale; James M. Brown

Journal of Vision. 2019; 19(10):72b. https://doi.org/10.1167/19.10.72b

Vision Sciences Society Annual Meeting Abstract September 2019

Large physical size and viewing distance enhance contour integration

Anthony D Cate; Alexander J Hawk; James M Brown

Journal of Vision. 2019; 19(10):94c. https://doi.org/10.1167/19.10.94c

Vision Sciences Society Annual Meeting Abstract September 2019

The robust vertical visual field asymmetry for pre-saccadic fixation durations: A meta-analysis

Harold H Greene; James M Brown; Gregory P Strauss

Journal of Vision. 2019; 19(10):146. https://doi.org/10.1167/19.10.146

ARVO Annual Meeting Abstract July 2019

Quantitative analysis of aggressive posterior retinopathy of prematurity using deep learning

Kellyn N Smith; Sang Jin Kim; Isaac Goldstein; Susan Ostmo; RV Paul Chan; James Martin Brown; Jayashree Kalpathy-Cramer; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4759.

ARVO Annual Meeting Abstract July 2019

Telemedicine for ROP Diagnosis in a Real-World System: Feasibility of Implementing Artificial Intelligence for Disease Screening

Miles F Greenwald; Ian Danford; Malika Shahrawat; Susan Ostmo; James Martin Brown; Jayashree Kalpathy-Cramer; Robert Schelonka; Howard S Cohen; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1526.

ARVO Annual Meeting Abstract July 2019

A Proposed 1 to 9 Severity Scale for Vascular Abnormalities in Retinopathy of Prematurity

Sang Jin Kim; J. Peter Campbell; James Martin Brown; Susan Ostmo; Robison Vernon Paul Chan; Jayashree Kalpathy-Cramer; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4757.

ARVO Annual Meeting Abstract July 2019

Analysis of the Imaging and Informatics Retinopathy of Prematurity (i-ROP) Vascular Severity Score in Patients with Treatment Requiring Retinopathy of Prematurity

Rene Choi; James Martin Brown; Jayashree Kalpathy-Cramer; RV Paul Chan; Susan Ostmo; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4758.

ARVO Annual Meeting Abstract July 2019

Analysis of dimensionality reduction techniques in a deep convolutional neural network for the diagnosis of plus disease in retinopathy of prematurity

J. Peter Campbell; James Martin Brown; Jayashree Kalpathy-Cramer; RV Paul Chan; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1522.

ARVO Annual Meeting Abstract July 2019

Utilization of a Deep Learning Image Assessment Tool for Epidemiologic Surveillance of Retinopathy of Prematurity

Travis Redd; J. Peter Campbell; James Martin Brown; Parag Shah; Sang Jin Kim; Susan Ostmo; Robison Vernon Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1523.

ARVO Annual Meeting Abstract July 2019

Deep learning for automated diagnosis of plus disease in Indian ROP patients

Jayashree Kalpathy-Cramer; James Martin Brown; Aaron S Coyner; Szu-Yeu Hu; Malika Shahrawat; Susan Ostmo; J. Peter Campbell; Robison Vernon Paul Chan; Parag Shah; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1524.

ARVO Annual Meeting Abstract July 2018

Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity

Aaron S Coyner; Ryan Swan; James M Brown; Jayashree Kalpathy-Cramer; Sang Jin Kim; J. Peter Campbell; Karyn Jonas; R.V. Paul Chan; Susan Ostmo; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2762.

ARVO Annual Meeting Abstract July 2018

Application of a Quantitative Image Analysis Scale Using Deep Learning for Detection of Clinically Significant ROP

Travis Redd; J. Peter Campbell; James M Brown; Sang Jin Kim; Susan Ostmo; Robison Vernon Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2782.

ARVO Annual Meeting Abstract July 2018

Automated Computer-Based Image Analysis in Monitoring Disease Progression for Retinopathy of Prematurity

Stanford Taylor; Kishan Gupta; J. Peter Campbell; James M Brown; Susan Ostmo; Robison Vernon Paul Chan; Jennifer Dy; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Sang Jin Kim; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):3937.

ARVO Annual Meeting Abstract July 2018

Artificial intelligence in retinopathy of prematurity (ROP): diagnostic performance of a supervised machine learning system (i-ROP ASSIST)

Susan Ostmo; Veysi Yildiz; Peng Tian; James M Brown; J. Peter Campbell; Sang Jin Kim; Jennifer Dy; Stratis Ioannidis; Deniz Erdogmus; Robison Vernon Paul Chan; Jayashree Kalpathy-Cramer; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2772.

ARVO Annual Meeting Abstract July 2018

Monitoring response to treatment in severe retinopathy of prematurity using a deep learning based quantitative severity scale

Kishan Gupta; J. Peter Campbell; Stanford Taylor; James M Brown; Susan Ostmo; R.V. Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Sang Jin Kim; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):3766.

ARVO Annual Meeting Abstract July 2018

Artificial intelligence in retinopathy of prematurity: development of a fully automated deep convolutional neural network (DeepROP) for plus disease diagnosis

James M Brown; J. Peter Campbell; Susan Ostmo; Peng Tian; Veysi Yildiz; Sang Jin Kim; Robison Vernon Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Michael F Chiang; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):3938.

ARVO Annual Meeting Abstract July 2018

Artificial intelligence in retinopathy of prematurity: identification of clinically significant retinal vascular findings using computer-based image analysis

Michael F Chiang; James M Brown; Veysi Yildiz; Peng Tian; Layla Ghergherehchi; J. Peter Campbell; Susan Ostmo; Sang Jin Kim; Robison Vernon Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2764.

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Examining increment thresholds as a function of pedestal contrast under hypothetical parvocellular- and magnocellular-biased conditions.

Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach

Further exploration of antagonistic interactions in figure-ground perception

White Illusion: Effects of Inducer Contrast, Test-Bar Location, and Test-Bar Contrast

Large physical size and viewing distance enhance contour integration

The robust vertical visual field asymmetry for pre-saccadic fixation durations: A meta-analysis

Quantitative analysis of aggressive posterior retinopathy of prematurity using deep learning

Telemedicine for ROP Diagnosis in a Real-World System: Feasibility of Implementing Artificial Intelligence for Disease Screening

A Proposed 1 to 9 Severity Scale for Vascular Abnormalities in Retinopathy of Prematurity

Analysis of the Imaging and Informatics Retinopathy of Prematurity (i-ROP) Vascular Severity Score in Patients with Treatment Requiring Retinopathy of Prematurity

Analysis of dimensionality reduction techniques in a deep convolutional neural network for the diagnosis of plus disease in retinopathy of prematurity

Utilization of a Deep Learning Image Assessment Tool for Epidemiologic Surveillance of Retinopathy of Prematurity

Deep learning for automated diagnosis of plus disease in Indian ROP patients

Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity

Application of a Quantitative Image Analysis Scale Using Deep Learning for Detection of Clinically Significant ROP

Automated Computer-Based Image Analysis in Monitoring Disease Progression for Retinopathy of Prematurity

Artificial intelligence in retinopathy of prematurity (ROP): diagnostic performance of a supervised machine learning system (i-ROP ASSIST)

Monitoring response to treatment in severe retinopathy of prematurity using a deep learning based quantitative severity scale

Artificial intelligence in retinopathy of prematurity: development of a fully automated deep convolutional neural network (DeepROP) for plus disease diagnosis

Artificial intelligence in retinopathy of prematurity: identification of clinically significant retinal vascular findings using computer-based image analysis

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