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Applying generative adversarial network techniques to portable ophthalmic imaging

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References

  1. Purohit R, Rufai SR, Patel CK, Thomas GPL, Jeelani NUO, Johnson D, et al. Feasibility of a portable optical coherence tomography system in children with craniosynostosis. Eye. 2022. https://doi.org/10.1038/s41433-022-02205-0

  2. Vijay V, Mollan SP, Mitchell JL, Bilton E, Alimajstorovic Z, Markey KA, et al. Using Optical Coherence Tomography as a Surrogate of Measurements of Intracranial Pressure in Idiopathic Intracranial Hypertension. JAMA Ophthalmol. 2020;138:1264. https://doi.org/10.1001/jamaophthalmol.2020.4242

    Article  PubMed  Google Scholar 

  3. Scott CJ. Diagnosis and Grading of Papilledema in Patients With Raised Intracranial Pressure Using Optical Coherence Tomography vs Clinical Expert Assessment Using a Clinical Staging Scale. Arch Ophthalmol. 2010;128:705. https://doi.org/10.1001/archophthalmol.2010.94

    Article  PubMed  Google Scholar 

  4. Wang JK, Kardon RH, Kupersmith MJ, Garvin MK. Automated Quantification of Volumetric Optic Disc Swelling in Papilledema Using Spectral-Domain Optical Coherence Tomography. Investig Ophthalmol Vis Sci. 2012;53:4069. https://doi.org/10.1167/iovs.12-9438

    Article  Google Scholar 

  5. You A, Kim JK, Ryu IH, Yoo TK. Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey. Eye Vis (Lond). 2022;9:6. https://doi.org/10.1186/s40662-022-00277-3

    Article  PubMed  Google Scholar 

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Funding

NASA Grant [80NSSC20K183]: A Non-intrusive Ocular Monitoring Framework to Model Ocular Structure and Functional Changes due to Long-term Spaceflight.

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Contributions

EW—Conceptualization, Writing. JO—Conceptualization, Writing. PP—Review, Intellectual Support. SK—Review, Intellectual Support. NZ—Review, Intellectual Support. AT—Review, Intellectual Support. AGL—Review, Intellectual Support.

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Correspondence to Andrew G. Lee.

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The authors declare no competing interests.

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Waisberg, E., Ong, J., Paladugu, P. et al. Applying generative adversarial network techniques to portable ophthalmic imaging. Eye 37, 2580–2581 (2023). https://doi.org/10.1038/s41433-022-02353-3

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  • DOI: https://doi.org/10.1038/s41433-022-02353-3

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