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3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs., , , , , , , , , and 3 other author(s). CoRR, (2023)Hybrid simulation for health and social care: The way forward, or more trouble than it's worth?, , , , and . WSC, page 258-269. IEEE, (2013)Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography., , , , , and . ISBI, page 238-242. IEEE, (2021)Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration., , , , , , , , , and 5 other author(s). MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 724-734. Springer, (2023)Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report., , , , , , , , , and 2 other author(s). OMIA@MICCAI, volume 14096 of Lecture Notes in Computer Science, page 132-141. Springer, (2023)Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT., , , , , , , , , and 1 other author(s). CoRR, (2023)Spatiotemporal Representation Learning for Short and Long Medical Image Time Series., , , , , , , , , and . CoRR, (2024)Allelic variation of the FRMD7 gene in congenital idiopathic nystagmus, , , , , , , , and . Archives of ophthalmology, 125 (9): 1255--1263 (2007)Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration., , , , , , , , , and 5 other author(s). CoRR, (2023)A multi-paradigm, whole system view of health and social care for age-related macular degeneration., , , , and . WSC, page 95:1-95:12. WSC, (2012)