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Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols., , , , , , , , , and 3 other author(s). Frontiers Comput. Neurosci., (2022)A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging., , , , , , , , , and 1 other author(s). MIUA, volume 1248 of Communications in Computer and Information Science, page 171-183. Springer, (2020)Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging., , , , , , , , , and 1 other author(s). MIUA, volume 12722 of Lecture Notes in Computer Science, page 151-164. Springer, (2021)Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation., , , , , , , and . MIUA (1), volume 14859 of Lecture Notes in Computer Science, page 34-53. Springer, (2024)