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ARVO Annual Meeting Abstract June 2021

Improved training efficiency for deep learning models using disease severity comparison labels

Adam Hanif; Ilkay Yildiz; Peng Tian; Beyza Kalkanli; Deniz Erdogmus; Stratis Ioannidis; Jennifer Dy; Jayashree Kalpathy-Cramer; Susan Ostmo; Karyn Jonas; R.V. Paul Chan; Michael F Chiang; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2108.

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

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 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.

ARVO Annual Meeting Abstract July 2018

Risk assessment in retinopathy of prematurity: improvement of clinical models using automated image analysis

Jayashree Kalpathy-Cramer; 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

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2767.

ARVO Annual Meeting Abstract July 2018

Artificial intelligence in retinopathy of prematurity: clinical validation of a fully automated deep learning system (i-ROP DL) for plus disease diagnosis

J. Peter Campbell; James M Brown; Susan Ostmo; R.V. Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):3936.

Glaucoma March 2011

Early Gene Expression Changes in the Retinal Ganglion Cell Layer of a Rat Glaucoma Model

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Ying Guo; Elaine C. Johnson; William O. Cepurna; Jennifer A. Dyck; Tom Doser; John C. Morrison
TAGS: genes, glaucoma, wounds and injuries, gene expression, retinal ganglion cells
Invest. Ophthalmol. Vis. Sci.. 2011; 52(3):1460-1473. https://doi.org/10.1167/iovs.10-5930

Includes: Supplemental Content

Glaucoma January 2011

Cell Proliferation and Interleukin-6–Type Cytokine Signaling Are Implicated by Gene Expression Responses in Early Optic Nerve Head Injury in Rat Glaucoma

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Elaine C. Johnson; Thomas A. Doser; William O. Cepurna; Jennifer A. Dyck; Lijun Jia; Ying Guo; Wendi S. Lambert; John C. Morrison
TAGS: optic disk, wounds and injuries, glaucoma, cytokine, genes
Invest. Ophthalmol. Vis. Sci.. 2011; 52(1):504-518. https://doi.org/10.1167/iovs.10-5317

Includes: Supplemental Content

Glaucoma June 2010

Retinal Cell Responses to Elevated Intraocular Pressure: A Gene Array Comparison between the Whole Retina and Retinal Ganglion Cell Layer

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Ying Guo; William O. Cepurna; Jennifer A. Dyck; Tom A. Doser; Elaine C. Johnson; John C. Morrison
TAGS: genes, glaucoma, raised intraocular pressure, retina, retinal ganglion cells, eye
Invest. Ophthalmol. Vis. Sci.. 2010; 51(6):3003-3018. https://doi.org/10.1167/iovs.09-4663

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Improved training efficiency for deep learning models using disease severity comparison labels

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

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

Risk assessment in retinopathy of prematurity: improvement of clinical models using automated image analysis

Artificial intelligence in retinopathy of prematurity: clinical validation of a fully automated deep learning system (i-ROP DL) for plus disease diagnosis

Early Gene Expression Changes in the Retinal Ganglion Cell Layer of a Rat Glaucoma Model

Cell Proliferation and Interleukin-6–Type Cytokine Signaling Are Implicated by Gene Expression Responses in Early Optic Nerve Head Injury in Rat Glaucoma

Retinal Cell Responses to Elevated Intraocular Pressure: A Gene Array Comparison between the Whole Retina and Retinal Ganglion Cell Layer

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