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ARVO Annual Meeting Abstract July 2019

Telemedicine for ROP Diagnosis in a Real-World System: Technical Description and Evaluation

Ian Danford; Miles F Greenwald; Susan Ostmo; Robert Schelonka; Howard S Cohen; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6531. 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 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

Machine Learning for Prediction of Retinopathy of Prematurity Fundus Image Quality from Clinical Data

Aaron S Coyner; J. Peter Campbell; Susan Ostmo; Sang Jin Kim; Karyn E Jonas; RV Paul Chan; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1525. doi:

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 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:

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. doi:

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. 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

Screening Criteria for Retinopathy of Prematurity in Ulaanbaatar, Mongolia

Shelbi Olson; Tsengelmaa Chuluunbat; Karyn Jonas; Munkhuu Bayalag; Chimgee Chuluunkhuu; Hunter Cherwek; Nathan G Congdon; Leslie MacKeen; Joelle Hallak; Vivien Yap; Susan Ostmo; Wei-Chi Wu; J. Peter Campbell; Michael F Chiang; Robison Vernon Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2748. 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

Evaluation of birth weight and gestational age of children at risk of developing retinopathy of prematurity (ROP) in the imaging and informatics for ROP research consortium (i-ROP)

Daniel Oh; Shelbi Olson; Susan Ostmo; Karyn Jonas; Sang Jin Kim; Jason Horowitz; J. Peter Campbell; Michael F Chiang; Robison Vernon Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2780. 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

Whole exome sequencing of phenotypically extreme preterm infants identifies innate immune system-related biological pathways in retinopathy of prematurity

Sang Jin Kim; Kemal Sonmez; Ryan Swan; J. Peter Campbell; Susan Ostmo; Robison Vernon Paul Chan; Xiaohui Li; Yii-Der Ida Chen; Charles Simmons; Jerome I Rotter; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2755. doi:

ARVO Annual Meeting Abstract July 2018

Influence of serial retinal images on the diagnosis and management of retinopathy of prematurity (ROP)

Shin Hae Park; Kai Kang; Sang Jin Kim; Karyn Jonas; Susan Ostmo; J. Peter Campbell; Michael F Chiang; Robison Vernon Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):2761. doi:

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Telemedicine for ROP Diagnosis in a Real-World System: Technical Description and Evaluation

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

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

Machine Learning for Prediction of Retinopathy of Prematurity Fundus Image Quality from Clinical Data

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

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

Screening Criteria for Retinopathy of Prematurity in Ulaanbaatar, Mongolia

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

Evaluation of birth weight and gestational age of children at risk of developing retinopathy of prematurity (ROP) in the imaging and informatics for ROP research consortium (i-ROP)

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

Whole exome sequencing of phenotypically extreme preterm infants identifies innate immune system-related biological pathways in retinopathy of prematurity

Influence of serial retinal images on the diagnosis and management of retinopathy of prematurity (ROP)

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