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Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.

, , , , , , , and . CoRR, (2021)

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Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract)., , and . CoRR, (2020)Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation., , , , , , , and . CoRR, (2021)Instance-Dependent Noisy Label Learning via Graphical Modelling., , , , and . CoRR, (2022)Hidden stratification causes clinically meaningful failures in machine learning for medical imaging, , , and . Proceedings of the ACM conference on health, inference, and learning, page 151--159. (2020)Knowing What to Label for Few Shot Microscopy Image Cell Segmentation., , , , and . WACV, page 3557-3566. IEEE, (2023)EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels., , , , and . WACV, page 3606-3614. IEEE, (2021)Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history., , , and . Computer Vision and Image Analysis of Art, volume 7869 of SPIE Proceedings, page 786905. SPIE, (2011)A Bayesian Data Augmentation Approach for Learning Deep Models., , , , and . NIPS, page 2797-2806. (2017)Test Time Transform Prediction for Open Set Histopathological Image Recognition., , , , , and . MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 263-272. Springer, (2022)Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging., , , , and . MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 670-680. Springer, (2021)