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Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images., , , and . NeuroImage, (2016)Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data., , , , , and . NeuroImage, (August 2023)Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction., , , , , , , and . NeuroImage, (2019)Automated detection of cerebral microbleeds on MR images using knowledge distillation framework., , , , , , , , , and 5 other author(s). Frontiers Neuroinformatics, (March 2023)Accelerating Fibre Orientation Estimation from Diffusion Weighted Magnetic Resonance Imaging Using GPUs., , , , , and . PDP, page 622-626. IEEE, (2012)Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes., and . NeuroImage, (2015)Modelling white matter in gyral blades as a continuous vector field., , , , , , , and . NeuroImage, (2021)Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI., , and . NeuroImage, 60 (2): 1412-1425 (2012)Bayesian Optimisation of Large-Scale Biophysical Networks., , , , and . NeuroImage, (2018)Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement, , , , , , , , and . (2019)cite arxiv:1907.13418.