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Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework., , , , and . ISBI, page 333-336. IEEE, (2014)Multi-atlas segmentation with augmented features for cardiac MR images., , , and . Medical Image Analysis, 19 (1): 98-109 (2015)Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation., , , , , , and . CoRR, (2016)Robust multi-structure segmentation of magnetic resonance brain images.. Imperial College London, UK, (2015)British Library, EThOS.Generative Image Translation for Data Augmentation of Bone Lesion Pathology., , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 225-235. PMLR, (2019)Automatic quantification of CT images for traumatic brain injury., , , , , and . ISBI, page 125-128. IEEE, (2014)Group-constrained manifold learning: Application to AD risk assessment., , , and . Pattern Recognition, (2017)Automatic quantification of normal cortical folding patterns from fetal brain MRI., , , , , , and . NeuroImage, (2014)Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation., , , , , , , and . Medical Image Analysis, (2017)Unsupervised domain adaptation in brain lesion segmentation with adversarial networks., , , , , , , , , and 1 other author(s). CoRR, (2016)