Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

Macular Diseases

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

JAMA Ophthalmol.

Burlina PM, Joshi N, Pekala M, Pacheco KD, Freund DE, Bressler NM

doi: 10.1001/

Retinal Diseases

Automated detection of early-stage ROP using a deep convolutional neural network

Br J Ophthalmol

Huang YP, Basanta H, Kang EY, Chen KJ, Hwang YS, Lai CC, Campbell JP, Chiang MF, Chan RVP, Kusaka S, Fukushima Y, Wu WC

doi: 10.1136/bjophthalmol-2020-316526

Accuracy and Reliability of Eye-Based vs Quadrant-Based Diagnosis of Plus Disease in Retinopathy of Prematurity

JAMA Ophthalmol.

Kim SJ, Campbell JP, Kalpathy-Cramer J, Ostmo S, Jonas KE, Choi D, Chan RVP, Chiang MF; Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium

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Cornea and Corneal DiseasesFurther Publications

Multi-Disease Deep-Learning Neural Network for the Diagnosis of Corneal Diseases

Am J Ophthalmol

Elsawy A, Eleiwa T, Chase C, Ozcan E, Tolba M, Feuer W, Abdel-Mottaleb M, Shousha MA

doi: 10.1016/j.ajo.2021.01.018

Retinal DiseasesFurther Publications

Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras

Ophthalmol Retina

Chen JS, Coyner AS, Ostmo S, Sonmez K, Bajimaya S, Pradhan E, Valikodath N, Cole ED, Al-Khaled T, Chan RVP, Singh P, Kalpathy-Cramer J, Chiang MF, Campbell JP

doi: 10.1016/j.oret.2020.12.013

Retinal Diseases

Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma

Sci Rep

Strijbis VIJ, de Bloeme CM, Jansen RW, Kebiri H, Nguyen HG, de Jong MC, Moll AC, Bach-Cuadra M, de Graaf P, Steenwijk MD

doi: 10.1038/s41598-021-93905-2

Retinal Diseases

Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning

JAMA Ophthalmol

Wilson M, Chopra R, Wilson MZ, Cooper C, MacWilliams P, Liu Y, Wulczyn E, Florea D, Hughes CO, Karthikesalingam A, Khalid H, Vermeirsch S, Nicholson L, Keane PA, Balaskas K, Kelly CJ

doi: 10.1001/jamaophthalmol.2021.2273

Diagnostic Accuracy of Ophthalmoscopy vs Telemedicine in Examinations for Retinopathy of Prematurity

JAMA Ophthalmol.

Biten H, Redd TK, Moleta C, Campbell JP, Ostmo S, Jonas K, Chan RVP, Chiang MF; Imaging & Informatics in Retinopathy of Prematurity (ROP) Research Consortium.

doi: 10.1001/jamaophthalmol.

COMMENTED

Retinal Diseases

Using a deep learning algorithm and integrated gradients explanation to assist grading for diabetic retinopathy

Ophthalmology.

Sayres R, Taly A, Rahimy E, Blumer K, Coz D, Hammel N, Krause J, Narayanaswamy A, Rastegar Z, Wu D, Xu S, Barb S, Joseph A, Shumski M, Smith J, Sood AB, Corrado GS, Peng L, Webster DR

doi: 10.1016/j.ophtha.

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