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ARVO Annual Meeting Abstract June 2022

Federated learning for collaborative clinical diagnosis and disease epidemiology in retinopathy of prematurity

Adam H Hanif; Charles Lu; Ken Chang; Praveer Singh; Aaron S Coyner; James Brown; Susan Ostmo; R.V. Paul Chan; Daniel Rubin; Michael F Chiang; Jayashree Kalpathy-Cramer; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2329. doi:

ARVO Annual Meeting Abstract June 2022

Evaluation of Modified Screening Criteria for Retinopathy of Prematurity in India

Aditi Gupta; Mallory Alyssa deCampos-Stairiker; Minn Oh; Aaron S Coyner; Susan R Ostmo; Praveer Singh; Jayashree Kalpathy-Cramer; Robison Vernon Paul Chan; Prema Sparizam; Michael F Chiang; Parag Shah; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):4183 – F0243. doi:

ARVO Annual Meeting Abstract June 2022

Grayscale Retinal Vessel Maps Are Associated with Self-Reported Race: Implications for Artificial Intelligence Models

Aaron S Coyner; Praveer Singh; James Brown; Susan Ostmo; Robison Vernon Paul Chan; Michael F Chiang; Jayashree Kalpathy-Cramer; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1155. doi:

ARVO Annual Meeting Abstract June 2022

Effectiveness of an artificial-intelligence based single-exam retinopathy of prematurity prediction model in three Asian populations

J. Peter Campbell; Aaron S Coyner; Minn Oh; Parag Shah; Praveer Singh; Susan R Ostmo; Nita Valikodath; Emily Cole; Tala Al-Khaled; Sanyam Bajimaya; Sagun KC; Tsengelmaa Chuluunbat; Bayalag Munkhuu; R.V. Paul Chan; Michael F Chiang; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3129. doi:

ARVO Annual Meeting Abstract June 2022

Can the eye be a window to the lungs? AI predicts Bronchopulmonary Dysplasia through Retinal Fundus Photographs

Praveer Singh; Aaron S Coyner; Brian K Jordan; Robison Vernon Paul Chan; Susan R Ostmo; Kemal Sonmez; Deniz Erdogmus; Cindy McEvoy; Michael F Chiang; J. Peter Campbell; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2985 – F0255. doi:

ARVO Annual Meeting Abstract June 2022

Longitudinal Evaluation of Retinopathy of Prematurity Rates and Severity in India

Mallory Alyssa deCampos-Stairiker; Aditi Gupta; Minn Oh; Aaron S Coyner; Susan R Ostmo; Praveer Singh; Jayashree Kalpathy-Cramer; Robison Vernon Paul Chan; Prema Sparizam; Michael F Chiang; Parag Shah; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):4190 – F0250. doi:

ARVO Annual Meeting Abstract June 2021

External validation of a deep learning algorithm for plus disease classification on a multinational ROP dataset

Praveer Singh; J. Peter Campbell; Susan Ostmo; James Brown; Szu-Yeu Hu; Nathaphop Chaichaya; Phanthipha Wongwai; Somkiat Asawaphureekorn; Sirinya Suwannaraj; Michael Morley; Parag Shah; Narendran Venkatapathy; Robison Vernon Paul Chan; Michael F Chiang; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3266. doi:

ARVO Annual Meeting Abstract June 2021

Quantifying Oxygen Exposure for Predicting Treatment-Requiring Retinopathy of Prematurity

Jimmy S Chen; Jamie Anderson; Aaron S Coyner; Susan Ostmo; Kemal Sonmez; Deniz Erdogmus; Cynthia McEvoy; Brian Jordan; Dmitry Dukovny; Robert Schelonka; Robison Vernon Paul Chan; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F Chiang; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3246. doi:

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. doi:

ARVO Annual Meeting Abstract June 2021

Evaluation of an Artificial Intelligence System (i-ROP DL) for Retinopathy of Prematurity Screening in Nepal using the Forus 3nethra neo and in Mongolia using the Retcam Portable ®

Tala Al-Khaled; Nita Valikodath; Emily Cole; Sanyam Bajimaya; Sagun KC; Tsengelmaa Chuluunbat; Karyn Jonas; Chimgee Chuluunkhuu; Leslie D. MacKeen; Susan Ostmo; Wei-Chi Wu; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F Chiang; J. Peter Campbell; Robison Vernon Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3269. doi:

ARVO Annual Meeting Abstract June 2021

Automated detection of genetic relatedness from fundus photographs using Convolutional Siamese Neural Networks

Nishanth Arun; Praveer Singh; Jiali Wang; Ayellet V Segre; Janey L Wiggs; Brian Cole; Jayashree Kalpathy-Cramer; Nazlee Zebardast

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1034. doi:

ARVO Annual Meeting Abstract June 2021

A risk model for early detection of treatment-requiring retinopathy of prematurity using a deep learning-derived vascular severity score

Aaron S Coyner; Jayashree Kalpathy-Cramer; Jimmy S Chen; Adam Hanif; Robison Vernon Paul Chan; Praveer Singh; Kemal Sonmez; Deniz Erdogmus; Michael F Chiang; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3265. 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:

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:

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:

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Federated learning for collaborative clinical diagnosis and disease epidemiology in retinopathy of prematurity

Evaluation of Modified Screening Criteria for Retinopathy of Prematurity in India

Grayscale Retinal Vessel Maps Are Associated with Self-Reported Race: Implications for Artificial Intelligence Models

Effectiveness of an artificial-intelligence based single-exam retinopathy of prematurity prediction model in three Asian populations

Can the eye be a window to the lungs? AI predicts Bronchopulmonary Dysplasia through Retinal Fundus Photographs

Longitudinal Evaluation of Retinopathy of Prematurity Rates and Severity in India

External validation of a deep learning algorithm for plus disease classification on a multinational ROP dataset

Quantifying Oxygen Exposure for Predicting Treatment-Requiring Retinopathy of Prematurity

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

Evaluation of an Artificial Intelligence System (i-ROP DL) for Retinopathy of Prematurity Screening in Nepal using the Forus 3nethra neo and in Mongolia using the Retcam Portable ®

Automated detection of genetic relatedness from fundus photographs using Convolutional Siamese Neural Networks

A risk model for early detection of treatment-requiring retinopathy of prematurity using a deep learning-derived vascular severity score

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

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

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

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