FA4SANS-GAN: A Novel Machine Learning Generative Adversarial Network to Further Understand Ophthalmic Changes in Spaceflight Associated Neuro-Ocular Syndrome (SANS)-Reference-Cited by-同舟云学术

FA4SANS-GAN: A Novel Machine Learning Generative Adversarial Network to Further Understand Ophthalmic Changes in Spaceflight Associated Neuro-Ocular Syndrome (SANS)

Published:2024-07 Issue:4 Volume:4 Page:100493
ISSN:2666-9145
Container-title:Ophthalmology Science
language:en
Short-container-title:Ophthalmology Science

Author:

Kamran Sharif Amit^ORCID,Hossain Khondker Fariha,Ong Joshua^ORCID,Waisberg Ethan^ORCID,Zaman Nasif,Baker Salah A.,Lee Andrew G.,Tavakkoli Alireza^ORCID

Funder

National Aeronautics and Space Administration

Publisher

Elsevier BV

Reference59 articles.

1. Evidence Report: Risk of Spaceflight Associated Neuro-Ocular Syndrome (SANS). Human Research Program Human Health Countermeasures Element;Stenger,2017

2. Evidence Report: Risk of Impaired Control of Spacecraft/Associated Systems and Decreased Mobility Due to Vestibular/Sensorimotor Alterations Associated with Spaceflight.Human Research Program Human Health Countermeasures Element;Jacob,2016

3. Optic disc edema, globe flattening, choroidal folds, and hyperopic shifts observed in astronauts after long-duration space flight;Mader;Ophthalmology,2011

4. Spaceflight associated neuro-ocular syndrome (SANS) and the neuro-ophthalmologic effects of microgravity: a review and an update;Lee;NPJ Microgravity,2020

5. Spaceflight associated neuro-ocular syndrome (SANS): an update on potential microgravity-based pathophysiology and mitigation development;Ong;Eye (Lond),2023

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3. XR-SANS: a multi-modal framework for analyzing visual changes with extended reality (XR) in Spaceflight Associated Neuro-Ocular Syndrome (SANS);Eye;2024-05-27

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