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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

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

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

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 June 2017

Is there clinical utility for a continuous severity score for plus disease in ROP?

J. Peter Campbell; Sang Kim; Ryan Swan; Karyn Elizabeth Jonas; Susan Ostmo; Stratis Ioannidis; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Robison Vernon Paul Chan; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):4737. doi:

ARVO Annual Meeting Abstract June 2017

Automated Image Quality Assessment for Fundus Images in Retinopathy of Prematurity

Aaron S Coyner; Ryan Swan; Jayashree Kalpathy-Cramer; Sang Jin Kim; J. Peter Campbell; Karyn Elizabeth Jonas; Susan Ostmo; Robison Vernon Paul Chan; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):5550. doi:

ARVO Annual Meeting Abstract June 2017

Evaluation of computer-based image analysis for retinopathy of prematurity screening

Sapna Tibrewal; Peng Tian; Dharanish Kedarisetti; Jayashree Kalpathy-Cramer; Stratis Ioannidis; Deniz Erdogmus; J. Peter Campbell; Robison Vernon Paul Chan; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):5539. doi:

ARVO Annual Meeting Abstract June 2017

Deep learning for the identification of plus disease in retinopathy of prematurity

Jayashree Kalpathy-Cramer; J. Peter Campbell; Sang Kim; Ryan Swan; Karyn Elizabeth Jonas; Susan Ostmo; Peng Tian; Dharanish Kedarisetti; Stratis Ioannidis; Deniz Erdogmus; RV Paul Chan; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):5554. doi:

Articles November 2015

Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the “i-ROP” System and Image Features Associated With Expert Diagnosis

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Esra Ataer-Cansizoglu; Veronica Bolon-Canedo; J. Peter Campbell; Alican Bozkurt; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Samir Patel; Karyn Jonas; R. V. Paul Chan; Susan Ostmo; Michael F. Chiang; on behalf of the i-ROP Research Consortium
TAGS: computers, dilatation, pathologic, reference standards, retinopathy of prematurity
Trans. Vis. Sci. Tech.. 2015; 4(6):5. doi: 10.1167/tvst.4.6.5

ARVO Annual Meeting Abstract June 2015

Uncertainty in the diagnosis of Pre-plus Disease in Retinopathy of Prematurity

Allison Rebecca Loh; Michael Ryan; Katherine Abrahams; Esra Ataer-Cansizoglu; Robison Vernon Paul Chan; Audina M Berrocal; Jayashree Kalpathy-Cramer; Veronica Bolon-Canedo; Deniz Erdogmus; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):611. doi:

ARVO Annual Meeting Abstract June 2015

Dealing with inter-expert variability in Retinopathy of Prematurity through machine learning

Deniz Erdogmus; Veronica Bolon-Canedo; Esra Ataer-Cansizoglu; Jayashree Kalpathy-Cramer; Oscar Fontenla-Romero; Amparo Alonso-Betanzos; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):5251. doi:

ARVO Annual Meeting Abstract June 2015

A GMM-based Feature Extraction Technique for the Automated Diagnosis of Retinopathy of Prematurity

Esra Ataer-Cansizoglu; Veronica Bolon-Canedo; Deniz Erdogmus; Katherine Abrahams; Susan Ostmo; Robison Vernon Paul Chan; Jayashree Kalpathy-Cramer; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):5252. doi:

ARVO Annual Meeting Abstract April 2014

Functional modifications of retinal images in quantitative plus disease diagnosis of retinopathy of prematurity

Samir N Patel; R.V. Paul Chan; Alfredo Ruggeri; Enea Poletti; Esra Ataer-Cansizoglu; Jayashree Kalpathy-Cramer; Karyn Jonas; Susan Ostmo; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):5929. doi:

ARVO Annual Meeting Abstract June 2013

Computer-based image analysis for ROP: development of a quantitative index based on vascular tortuosity

Grant Aaker; Daniel Lattin; Esra Ataer-Cansizoglu; Katie Keck; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Michael Chiang

Invest. Ophthalmol. Vis. Sci.. 2013; 54(15):597. doi:

ARVO Annual Meeting Abstract June 2013

Quantifying vascular tortuosity in retinopathy of prematurity: impact of segmentation method and vascular length

Daniel Lattin; Grant Aaker; Esra Ataer-Cansizoglu; Dongseok Choi; Katie Keck; Rony Gelman; Jayashree Kalpathy-Cramer; Deniz Erdogmus; Michael Chiang

Invest. Ophthalmol. Vis. Sci.. 2013; 54(15):608. doi:

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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

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

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

Is there clinical utility for a continuous severity score for plus disease in ROP?

Automated Image Quality Assessment for Fundus Images in Retinopathy of Prematurity

Evaluation of computer-based image analysis for retinopathy of prematurity screening

Deep learning for the identification of plus disease in retinopathy of prematurity

Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the “i-ROP” System and Image Features Associated With Expert Diagnosis

Uncertainty in the diagnosis of Pre-plus Disease in Retinopathy of Prematurity

Dealing with inter-expert variability in Retinopathy of Prematurity through machine learning

A GMM-based Feature Extraction Technique for the Automated Diagnosis of Retinopathy of Prematurity

Functional modifications of retinal images in quantitative plus disease diagnosis of retinopathy of prematurity

Computer-based image analysis for ROP: development of a quantitative index based on vascular tortuosity

Quantifying vascular tortuosity in retinopathy of prematurity: impact of segmentation method and vascular length

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