Response to: ‘Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity’
Author:
Publisher
Springer Science and Business Media LLC
Subject
Ophthalmology
Link
https://www.nature.com/articles/s41433-023-02401-6.pdf
Reference5 articles.
1. Tavakkoli A, Kamran SA, Hossain KF, Zuckerbrod SL. A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs. Sci Rep. 2020;10:21580.
2. Kumar P, Chandra P, Agarwal R, Chawla R, Vohra R. Role of fluorescein angiography guided laser treatment in aggressive retinopathy of prematurity. Eye (Lond). 2022. https://doi.org/10.1038/s41433-022-02302-0.
3. Vinekar A, Sinha S, Mangalesh S, Jayadev C, Shetty B. Optical coherence tomography angiography in preterm-born children with retinopathy of prematurity. Graefes Arch Clin Exp Ophthalmol. 2021;259:2131–7.
4. Campbell JP, Nudleman E, Yang J, Tan O, Chan RVP, Chiang MF, et al. Handheld Optical Coherence Tomography Angiography and Ultra-Wide-Field Optical Coherence Tomography in Retinopathy of Prematurity. JAMA Ophthalmol. 2017;135:977–81.
5. Agarwal K, Vinekar A, Chandra P, Padhi TR, Nayak S, Jayanna S, et al. Imaging the pediatric retina: an overview. Indian J Ophthalmol. 2021;69:812–23.
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