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ARVO Annual Meeting Abstract June 2020

Utility of an automated deep learning tool in a low-income country for retinopathy of prematurity

Nita Valikodath; Emily Cole; Tala Al-Khaled; Sanyam Bajimaya; Sagun K.C.; Asha Basnyat; Dale Davis; Nick Kourgialis; Eli Pradhan; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F. Chiang; J. Peter Campbell; Robison Vernon Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1637. doi:

ARVO Annual Meeting Abstract June 2020

Retinal Fundus Image Generation in Retinopathy of Prematurity Using Autoregressive Generative Models

Aaron S Coyner; J. Peter Campbell; Jayashree Kalpathy-Cramer; Praveer Singh; Kemal Sonmez; Michael F. Chiang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2166. doi:

ARVO Annual Meeting Abstract June 2020

Analysis of the relationship between retinopathy of prematurity zone, stage, extent and a deep learning-based vascular severity scale

J. Peter Campbell; Robison Vernon Paul Chan; Susan Ostmo; Jamie Anderson; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F. Chiang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2193. doi:

Special Issue February 2020

Introduction to Machine Learning, Neural Networks, and Deep Learning

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Rene Y. Choi; Aaron S. Coyner; Jayashree Kalpathy-Cramer; Michael F. Chiang; J. Peter Campbell
TAGS: deep learning, learning, machine learning, datasets
Trans. Vis. Sci. Tech.. 2020; 9(2):14. doi: https://doi.org/10.1167/tvst.9.2.14

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. doi: https://doi.org/10.1167/tvst.9.2.10

Includes: Supplemental Content

Special Issue February 2020

Artificial Intelligence in Retinopathy of Prematurity Diagnosis

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Brittni A. Scruggs; R. V. Paul Chan; Jayashree Kalpathy-Cramer; Michael F. Chiang; J. Peter Campbell
TAGS: artificial intelligence, retinopathy of prematurity
Trans. Vis. Sci. Tech.. 2020; 9(2):5. doi: https://doi.org/10.1167/tvst.9.2.5

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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. doi:

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Utility of an automated deep learning tool in a low-income country for retinopathy of prematurity

Retinal Fundus Image Generation in Retinopathy of Prematurity Using Autoregressive Generative Models

Analysis of the relationship between retinopathy of prematurity zone, stage, extent and a deep learning-based vascular severity scale

Introduction to Machine Learning, Neural Networks, and Deep Learning

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

Artificial Intelligence in Retinopathy of Prematurity Diagnosis

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

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

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)

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