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An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data.

, , , and . GECCO, page 2174-2181. ACM, (2007)

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Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data., , and . GECCO, volume 2724 of Lecture Notes in Computer Science, page 2360-2371. Springer, (2003)Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks., , , and . Medical Image Anal., (2021)Gabor Fusion Master Slave Optical Coherence Tomography., , , , , , , , , and . ICTON, page 1. IEEE, (2019)The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data., and . IEEE Trans. Inf. Technol. Biomed., 14 (1): 79-85 (2010)Bio-inspired Attentive Segmentation of Retinal OCT Imaging., , , , and . OMIA@MICCAI, volume 12069 of Lecture Notes in Computer Science, page 1-10. Springer, (2020)An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data., , , and . GECCO, page 2174-2181. ACM, (2007)Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials., , , and . MICCAI (1), volume 11764 of Lecture Notes in Computer Science, page 3-11. Springer, (2019)The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process., , , and . IDA, volume 7014 of Lecture Notes in Computer Science, page 101-112. Springer, (2011)Improving predictive models of glaucoma severity by incorporating quality indicators., , , , and . Artif. Intell. Medicine, 60 (2): 103-112 (2014)Exploring Early Glaucoma and the Visual Field Test: Classification and Clustering Using Bayesian Networks., , , and . IEEE J. Biomed. Health Informatics, 18 (3): 1008-1014 (2014)